Frequently asked questions

Yes, completely. You own all source code, documentation, design files, and infrastructure configuration. There is no lock-in. You can take the project to any other developer at any time, bring development in-house, or host it wherever you choose. We believe ownership is a fundamental right when you pay for custom software development.

SaaS tools are built for a broad audience and charge recurring fees. They work well for common tasks, but they force your team to adapt their processes to fit the software. Custom software is the opposite: it is built specifically for your workflows, you own it outright, and there are no monthly per-seat licensing costs. Over time, custom software often costs less than a stack of SaaS subscriptions, and it fits your business far better.

That is expected and completely normal. We work in iterative sprints with regular check-ins, so we can adjust scope, priorities, and features as your understanding of the project evolves. Most projects look somewhat different at launch than they did at kickoff, and that is a good thing. It means the final product reflects real feedback, not just initial assumptions.

Yes. We offer flexible ongoing maintenance and support plans tailored to your needs. This includes bug fixes, security updates, performance monitoring, infrastructure maintenance, and feature additions. Many of our clients continue working with us long after launch because their business keeps evolving and the software needs to keep up.

Yes. We regularly integrate with accounting systems, ERPs, CRMs, payment gateways, email providers, shipping platforms, and any system that has an API. If you rely on a specific tool and want to keep using it, we can connect your custom software to it so data flows automatically. No more copying data between systems.

Custom software is a good fit for small and medium-sized businesses that have outgrown spreadsheets and generic tools. If your team spends hours on workarounds, manual data entry, or juggling multiple disconnected systems, custom software can eliminate that friction. It is especially valuable for companies with unique processes that no off-the-shelf tool supports well.

We use modern, proven technology stacks: Next.js, React, Node.js, TypeScript, Python, PostgreSQL, and cloud platforms like AWS, Azure, and Vercel. We choose tools that are well-supported, maintainable, and scalable. We also integrate AI capabilities where they add real value, such as document processing, automated categorization, or intelligent search.

Projects typically start from 120,000 CZK, depending on scope. The main cost drivers are the number of workflows to automate, the complexity of the interface, required integrations, and data migration needs. We provide a detailed estimate after the discovery phase so there are no surprises. We are always transparent about what you are paying for and why.

Most projects take 2 to 5 months from kickoff to launch. Simpler applications with fewer integrations can be ready in 8 to 10 weeks. Larger systems with complex workflows and data migrations may take longer. We deliver in phases, so you can start using core features before the entire system is complete.

Because we work iteratively with regular demos and feedback sessions, dissatisfaction rarely happens. You see working software every two weeks and can course-correct early. If something is not right, we adjust. Our goal is to build software that genuinely solves your problems, and we do not consider a project done until you are confident it does.

We work from Bitvea CRM, a complete system we have already built and use ourselves. We deploy it as your starting point and customize it to match your specific pipeline, automations, integrations, and reporting needs. This means faster delivery, lower cost, and less risk than a pure from-scratch project. You see a working system early in the process, not at the end. You own the code and can take it anywhere.

Yes. We are releasing a free tier of Bitvea CRM in the coming weeks. It covers the core scaffold: leads, deals, projects, contacts, and activity logging. Custom automations, integrations, reporting, and bespoke workflows are not included in the free tier. Usage limits are based on data volume, not on the number of users. If you want priority access before the public launch, get in touch and we will add you to the list.

Off-the-shelf CRMs charge per seat and come with features you don't need while missing the ones you do. A custom CRM costs a one-time investment, fits your exact sales process, and you own it completely. There are no monthly licensing fees that grow with your team. Over time, the total cost of ownership is usually lower, and your team gets a tool that actually supports how they work. Unlike other agencies, we can show you a working CRM before you commit to anything.

Yes. We handle full data migration from any existing CRM, spreadsheets, or databases, including contacts, deals, companies, notes, activity history, and custom fields. We clean and validate the data during migration so you start with an accurate, well-structured database.

We design the CRM to be intuitive, but every team benefits from a structured onboarding. We run hands-on training sessions tailored to each role: daily workflows for sales reps, reporting for managers, and configuration for admins. We also provide documentation and short video guides your team can reference anytime.

Yes. We build email automation directly into the CRM. This includes follow-up sequences triggered by deal stage changes, time-based reminders, welcome emails for new contacts, and internal notifications when key events happen. You control the templates, timing, and conditions.

Since you own the code, we can add new features, reports, integrations, or workflow changes at any time. Many clients start with core functionality and expand over time as their process evolves. We offer ongoing support plans for continuous improvement, or you can engage us for specific enhancements as needed.

Sales teams with a defined process that find generic CRMs limiting. If your pipeline doesn't fit standard stages, you need automations that off-the-shelf tools can't deliver, or per-seat pricing has become a significant expense, a custom CRM makes sense. It is especially valuable for teams with industry-specific workflows that generic platforms simply don't support.

Most projects take 2 to 4 months from start to full launch. We deliver a working version early in the process so your team can start using core features while we continue building out remaining functionality. This means you get value before the project is technically complete.

We can connect your CRM to virtually any system that has an API: email providers like Gmail and Outlook, calendar tools, invoicing and accounting software, marketing platforms, phone systems, chat tools, and internal databases. If a standard integration doesn't exist, we build custom API connections.

Your data is stored on infrastructure you control or on trusted cloud providers with encryption at rest and in transit. We implement role-based access so team members only see what they need. All access is logged, and we follow security best practices including regular backups, secure authentication, and input validation.

We build CRM interfaces that are fully responsive, so your team can access contacts, update deals, and log activity from any device. If your sales reps work primarily from phones or tablets, we can design a mobile-first interface optimized for on-the-go use, including quick actions like logging calls or checking deal status.

For small and mid-sized businesses, almost always yes. Enterprise ERPs like SAP require months of consultant-driven configuration, expensive licensing, and ongoing maintenance contracts. You end up paying for hundreds of features you never touch. Odoo is more affordable but still forces you into its way of doing things, and customization gets expensive quickly. A custom ERP is built exactly for your operations, costs less over its lifetime, and you own it completely. There are no per-user fees, no annual license renewals, and no vendor deciding to deprecate a feature you depend on.

Yes. We regularly integrate with Czech accounting systems like Pohoda, ABRA Flexi, and Money S3, as well as international tools. Data flows automatically between your ERP and accounting system, so your finance team does not need to re-enter invoices, expenses, or payment records. If your accounting software has an API, we can connect it.

We plan every migration carefully. First, we map your existing data: what lives in spreadsheets, what is in legacy software, and what exists only in people's heads. Then we clean and transform the data to fit the new system structure. We run parallel systems during the transition period so your team can verify everything before the old system is retired. Nothing is lost, and there is no sudden cutover that risks disrupting operations.

That is the entire point. Unlike off-the-shelf ERPs that charge more as you add users, locations, or modules, your custom ERP can be extended at any time. New warehouse? We add it. New product line with different tracking requirements? We build a module. New team of 20 people? They log in without increasing your costs. The system is designed to scale with your business from the start.

We build exactly what you need today and design the architecture so it is ready for what you will need tomorrow. Most clients start with two or three core modules, such as inventory and order management, and then add financial reporting, HR tools, or analytics in later phases. You only pay for what you use, and adding modules later does not require rebuilding what already exists.

Businesses with 10 to 200 employees whose operations have outgrown spreadsheets and disconnected tools, but who do not need (or cannot justify) the cost and complexity of SAP or Microsoft Dynamics. If you find your team spending hours every week reconciling data between systems, building manual reports, or working around limitations in your current tools, a custom ERP will solve those problems directly.

Typically 3 to 6 months, delivered in phases. Your team gets working modules within the first 8 to 10 weeks, not after the entire project is finished. We refine based on real usage feedback, so the final system is shaped by how your team actually works with it. There is no single big-bang go-live that risks disrupting your operations.

After launch, we offer support plans that include bug fixes, system monitoring, and iterative improvements. Most clients continue working with us on a monthly basis to add features, optimize workflows, and respond to new business needs. Since you own the code, you are never locked into our support. But most clients stay because we already understand their operations deeply.

Adoption starts with design: we build the ERP around how your team already works, so the learning curve is minimal. During rollout, we provide hands-on training for each department, write user documentation tailored to each role, and run parallel systems so people can transition gradually. We also collect feedback during early usage and adjust the interface based on what the team finds confusing or slow.

Processes always change, and a custom ERP handles that better than any off-the-shelf solution. Since you own the code and we built the system, adding new workflows, changing approval chains, restructuring modules, or connecting new tools is straightforward. There is no waiting for a vendor to release a feature or paying a premium for a configuration change. We can make updates as part of ongoing support or as a focused project.

Start with four questions. First, pricing: if different customers pay different prices, or you need B2B tiers, quotes, or net terms, template platforms fight you. Second, integration depth: an occasional export to accounting is fine on any platform, but real-time two-way sync with Pohoda, ABRA Flexi, or a warehouse system usually needs custom work or heavy middleware. Third, channels: selling one catalog across web, app, marketplaces, and wholesale points toward a headless custom backend. Fourth, volume: at a few hundred to low thousands of orders a month, per-sale fees and plugin subscriptions start to rival the cost of owning your own build. If none of these apply, stay on Shopify, WooCommerce, or Shoptet. If several do, custom is usually cheaper over a few years and far less frustrating.

Add up what a hosted setup costs you in a year: the monthly plan, any percentage the platform takes per sale, the payment-processing markup above the raw gateway rate, and the paid plugins you need to cover gaps. Compare that annual figure to a one-time custom build plus its hosting and maintenance. Because platform fees scale with revenue while a custom build is mostly fixed, there is an order volume where the lines cross. Below it, hosted is cheaper. Above it, you are paying rent on software you could own. We run these numbers on your real order volume before recommending anything, and we tell you honestly if custom does not pay off yet.

The systems Czech stores actually run on. For accounting and ERP: Pohoda, ABRA Flexi, and Money S3, with two-way sync for orders, invoices, stock, and customers. Invoicing through Fakturoid. Shipping and pickup points via Zasilkovna (Packeta) and PPL, with label printing and tracking. Product feeds tuned for Heureka, Zbozi.cz, and Glami, including parameters and availability. If you use something else, we integrate against its API or file exchange during scoping.

The common ones are Stripe, GoPay, Comgate, PayPal, bank transfer, and cash on delivery. We can also add installments, recurring billing, split payments, and B2B terms such as net-30 or net-60 invoicing. The right gateway depends on your market, your customers' habits, and your transaction volume, since fee structures differ.

Both are valid; the choice follows your channels and team. A monolith, one application serving the storefront and admin, is simpler to build and run when the web store is your main channel. Headless, where the commerce backend is separate from one or more frontends, makes sense when you sell the same catalog through a website, a mobile app, and marketplaces, or when a content team needs to move fast independently of the commerce logic. We recommend the simpler option unless a real need justifies the extra moving parts, and you own the code either way.

Orders do not fire straight into your ERP and hope for the best. We put a queue between the store and the back office, so a slow or offline ERP never blocks a sale, and we make each sync idempotent, so a retry cannot create a duplicate order or invoice. Stock flows back from the warehouse to the storefront on a schedule or by webhook, and a reconciliation step flags anything that does not match instead of failing silently. The result is order status and stock levels you can trust without manual checking.

Yes, it is one of our core strengths. We build portals with customer-specific pricing, volume discount logic, quote requests, approval chains, net payment terms, and integration with your invoicing and ERP. B2B buyers get self-service ordering while your business rules are enforced automatically, which cuts the manual load on your sales team.

Performance and SEO are in the architecture, not bolted on later. Server-side rendering with Next.js, automatic image and asset optimization, and a codebase free of unused scripts give fast loads and strong Core Web Vitals. Clean semantic HTML, correct canonical and hreflang tags, and structured product data let search engines crawl and index the catalog properly. Faster stores rank better and convert better.

Yes. We migrate your product catalog, customer accounts, order history, and content, and set up URL redirects so your search rankings and existing links survive the move. The migration plan is part of scoping, so there are no surprises during cutover.

Usually 2 to 4 months to the first live version. We ship core selling first, catalog, checkout, payment, and order management, so you can start taking orders, then add features like loyalty, deeper analytics, or extra channels based on real usage.

Yes. Multi-language and multi-currency are built into the architecture: localized product content, currency-specific pricing, regional tax rules, and language-aware SEO with correct hreflang tags. Adding a market later does not mean rebuilding the store.

We model the data around your catalog. Products with dozens of variants, configurable items with dependent options, bundles, or specifications with compatibility rules all fit cleanly. Faceted search, smart filters, and structured product data keep large catalogs, thousands of SKUs, easy to navigate.

We offer support plans covering security updates, monitoring, fixes, and new features. Because you own the platform, you are not locked to us, but most stores take a plan since they keep evolving with new products, promotions, and integrations.

Both. We use React Native for cross-platform development, which means one codebase runs natively on iOS and Android. You get both platforms from a single build effort instead of paying to build and maintain two separate native apps, and the result looks and feels native on each platform.

Yes, and we treat it as an architecture decision rather than a checkbox. The app writes every change to a local database first and adds it to an outbound queue. When connectivity returns, the queue replays against your backend, and each operation is idempotent so a retry never double-posts. For conflicts we agree the rules with you per screen: last-write-wins by server timestamp for simple fields, field-level merge where two people edit different parts of a record, and a manual review step where a human has to decide. This is what makes offline reliable for field teams, warehouses, and remote sites.

Yes. We manage the full release path for both stores: developer accounts, signing and provisioning, build pipelines, and the listing itself, including metadata, screenshots, and privacy details. We ship test builds through TestFlight and Google Play internal testing first, then roll out gradually so any issue reaches a small group before everyone. We also write against Apple and Google review guidelines from the start, since most launch delays are avoidable rejections over permissions, privacy labels, or account deletion.

Yes. We regularly connect apps to Czech systems through their APIs: accounting and ERP tools like Pohoda, Money, ABRA, or Helios, payment gateways such as GoPay or ComGate, and public registers like ARES for company lookups. Where a system has no usable API, we build a dedicated integration layer instead of relying on manual exports, so your app talks to the tools your office already runs.

Yes. We integrate with any system that has an API, including CRMs, ERPs, accounting software, inventory systems, and custom databases. Data flows in both directions, so your mobile team and office team always work with the same information. If your system does not have a standard API, we can build a custom integration layer.

Yes. Mobile apps need regular attention. Apple and Google release new OS versions every year, and your app needs to stay compatible. We offer ongoing maintenance plans that cover OS compatibility updates, security patches, performance monitoring, and feature improvements. You can also request new features or changes at any time.

Businesses with field teams, customer-facing mobile needs, or internal processes that work better on a phone or tablet. Common examples include service companies with technicians in the field, sales teams on the road, logistics operations, and businesses that want a branded customer app. If spreadsheets and paper forms are slowing your team down, a custom app is likely a good investment.

Most projects take 2 to 4 months from kickoff to App Store launch. We deliver a testable version early, typically within a few weeks, so you can start collecting feedback. Simpler internal tools can be ready faster. Apps with complex offline sync, many integrations, or extensive custom UI may take longer.

React Native lets us build one codebase that runs natively on both iOS and Android, so you pay for one build effort and maintain one code path instead of two. For the large majority of business apps, forms, dashboards, catalogs, scanning, camera, maps, and push, users cannot tell it apart from fully native, and it costs a fraction of building two separate native codebases. Where an app leans on heavy real-time graphics, AR, low-level Bluetooth, or continuous background work, fully native can be the better call, and we tell you that during scoping rather than after.

We can build for a single platform if that is all you need. Because we use React Native, adding the second platform later usually takes far less effort than building it from scratch. Many clients launch on both from the start, but if your audience is on one platform, we scope for that and keep the door open.

Yes. You own the app, the source code, the backend, and all the data. There are no license fees, no per-user charges, and no lock-in. You can host it on your own infrastructure, bring development in-house, or switch to a different provider at any time. The code is yours.

We score each candidate task on two things: how often it happens, and how much a mistake costs. That gives four cases. High volume and high error tolerance, like sorting routine emails, is the ideal first agent: a lot of time saved at low risk. High volume and low error tolerance, like anything touching money or contracts, is worth automating but with a person reviewing the uncertain cases. Low volume and high error tolerance rarely pays back, so we usually batch it or leave it. Low volume and low error tolerance stays with your team. Starting where volume is high and mistakes are cheap gets you a quick, safe win you can build on.

Not necessarily. Many agents work well with the documents, emails, and internal knowledge you already have. For document tasks, even a few dozen examples of each type can be enough to reach useful accuracy. For support automation, your existing FAQ, help articles, and past tickets are usually a strong starting point. We assess what you have during the analysis phase and design the solution around the data that actually exists.

Yes, and we are always honest about that. For well-defined, repetitive tasks it can be very accurate, often more consistent than manual work, but it is never perfect. What matters is how you handle uncertainty. We build a confidence score into every agent, so it knows when it is unsure and routes those cases to a human. The agent learns from the corrections over time. For most business tasks the error rate settles well below what manual processing produces.

No, and that is not the goal. AI is best at first-line support: answering common questions, giving order status, routing tickets, and resolving straightforward issues. Complex, sensitive, or unusual cases go to your team with full context. The point is to take the repetitive questions off their plate so they spend time where a person genuinely helps. Our AI customer support case study below shows what this looked like in practice.

Yes. We offer deployment options to match your requirements: on your own infrastructure, in a private cloud instance, or via API providers that offer data-processing agreements and do not train on your data. We add access controls, encryption, and audit logging. Your business data is never shared with or used to train third-party models.

It depends entirely on the task, which is why we measure it up front rather than promise a number. Savings come from less time on manual work, fewer errors and the cost of fixing them, faster responses, and handling more volume without more headcount. Before we build, we agree on what the task costs you today and how we will track the change, so the business case is clear and honest rather than a marketing figure.

It delivers the most value where a task is both frequent and well-defined: document handling, routine inquiries, data entry, email sorting, order processing, and similar work. If your team repeats the same task many times a week, an agent can almost certainly help. Company size matters less than task volume; what counts is having enough repetition for the automation to pay back.

We typically deliver a working proof of concept within 2 to 3 weeks, so you can see the approach running on your real data before committing to a full build. Production deployment usually takes 2 to 4 months in total, depending on the number of integrations and the complexity. Many clients start saving time as soon as the first workflow goes live.

No. Our agents integrate with the tools you already use, whether that is your ERP, CRM, email platform, accounting software, or internal databases. We build the integration layer that connects the agent to your existing stack, and your team keeps working in the same tools. The agent runs behind the scenes or adds a thin layer on top.

Agents can be updated and retrained as your processes evolve. New document types, changed support policies, restructured workflows: we adjust the agent to match. That adaptability is one of the main advantages of a custom-built agent over a generic platform, and we offer ongoing support and maintenance for teams that want continuous improvement.

General-purpose tools like ChatGPT are powerful, but they are not connected to your systems, your data, or your workflows. They cannot read your documents, update your CRM, answer customers with accurate information, or follow your specific rules. What we build are agents trained on your data, integrated with your tools, and designed to complete a specific task end to end. The difference is between a general assistant and a trained specialist who knows your business.

Technical SEO fixes, such as improving page speed and adding structured data, can show impact within a few weeks. Ranking improvements for competitive keywords typically take 3 to 6 months of consistent work. AI visibility improvements can happen faster because large language models update their knowledge bases more frequently than Google updates its core algorithm. The best results come after 6 to 12 months, when your technical foundation, content authority, and entity signals all work together.

LEO stands for Large Language Model Engine Optimization, and GEO stands for Generative Engine Optimization. Both refer to strategies that help your brand appear in AI-generated answers. When someone asks ChatGPT for a product recommendation, uses Perplexity to research a topic, or sees a Google AI Overview, LEO and GEO optimization determine whether your brand is mentioned and recommended. These strategies focus on entity signals, structured content, authority building, and ensuring AI systems have accurate information about your business.

Traditional SEO focuses on ranking your pages in Google search results. AI search optimization (LEO/GEO) focuses on getting your brand recommended in AI-generated answers, which pull from different signals. AI systems rely heavily on entity recognition, knowledge graph presence, content structure, and source authority. There is significant overlap. A strong SEO foundation helps AI visibility, and many AI optimization tactics also improve search rankings. That is why we combine both into a single strategy.

Not usually. We optimize your existing website. Most sites have significant room for improvement through technical fixes, content optimization, and structured data implementation without needing a full rebuild. However, if your site has fundamental problems, such as extremely slow loading times, a non-responsive mobile experience, or a CMS that makes SEO implementation difficult, we may recommend a rebuild or migration to get the best results.

No legitimate SEO provider can guarantee specific rankings. Google's algorithm considers hundreds of factors, many of which change regularly. What we can guarantee is a data-driven approach, transparent reporting, and consistent improvement over time. Our clients typically see meaningful ranking improvements within 3 to 6 months and strong results within 6 to 12 months. We set realistic expectations upfront and track progress against clear benchmarks.

We monitor your brand mentions and recommendations across major AI platforms, including ChatGPT, Gemini, Perplexity, and Google AI Overviews. For each target query, we track whether your brand is mentioned, how it is described, what sentiment the response carries, and how you compare to competitors. You receive regular reports with these metrics alongside traditional SEO data like rankings, organic traffic, and backlink growth.

Paid advertising (Google Ads, social ads) delivers traffic only while you are paying. The moment you stop, the traffic stops. SEO and AI visibility optimization build a long-term asset. The content, technical improvements, and authority signals we create continue generating traffic and AI recommendations for months and years after the work is done. Most businesses benefit from both, but SEO provides compounding returns that paid advertising cannot match over time.

We handle content creation as part of our SEO and AI visibility service. Our team writes content optimized for both search engines and AI citation, based on keyword research, topic analysis, and your industry expertise. We will need your input on technical details specific to your business, but you do not need to write articles yourself. If you have an in-house content team, we can also provide briefs and guidelines so they can create SEO-optimized content independently.

We work with B2B service companies, e-commerce businesses, SaaS companies, local service providers, and professional services firms. Our approach adapts to each industry because SEO and AI visibility strategies differ significantly between, for example, a local law firm and a national e-commerce store. During the initial consultation, we assess your competitive landscape and tailor our strategy to your specific market.

Monthly engagements start from 15,000 CZK per month. The actual cost depends on your current site health, competition level, content volume, and how many AI platforms you want to target. We offer a free initial consultation where we assess your situation and recommend an appropriate scope. Most clients see a positive return within 6 to 12 months as organic traffic and AI-driven leads grow.

It depends on the input. Structured e-invoices (ISDOC, EN 16931 XML) are parsed directly, so their data is exact. For PDFs, scans, and photos, Vision AI reaches high field-level accuracy on standard formats, and every field carries a confidence score. Anything below your chosen threshold is flagged for a quick human check rather than posted, so an uncertain read never becomes a booking error. Accuracy on your specific layouts steadies as the system runs and your corrections feed back in.

Yes. We integrate directly with Pohoda, ABRA Flexi, Money S3, Fakturoid, and any accounting or ERP system with an API. For systems without one, we use file-based import (XML, CSV, or native ISDOC import) or integrate at the database level. Fields are mapped precisely to your data structure, so your finance team doesn't change how they work.

Yes, and it's a core reason to build custom for the Czech and Slovak market. ISDOC and EN 16931 XML invoices are parsed directly instead of being run through OCR, which means the header, line items, and VAT breakdown are read exactly as issued. As structured e-invoicing spreads, the same pipeline handles both structured and paper invoices in one flow, and many per-document SaaS tools either ignore ISDOC or charge extra for it.

Modern Vision AI handles scanned documents, phone photos, and partially damaged invoices well. For truly illegible or severely damaged documents, the system flags them for human review instead of guessing. The large majority of business invoices, including older scans, process successfully. We test with your actual document quality during the build so you know what to expect.

SaaS invoice tools charge per document or per page, so the cost recurs every month and grows with your volume. A custom system is a one-time build with low monthly hosting (usually a few hundred CZK), so your per-invoice cost trends toward zero over time. The more invoices you process, the sooner the fixed cost beats the recurring fee. At low volumes SaaS can still be the cheaper choice, and we'll say so.

If your volume is low, your formats are simple, and you have no special integration or data-residency needs, an off-the-shelf SaaS tool is likely faster and cheaper to start. A custom build earns its cost when volume is steady, when you need native Czech or Slovak accounting integration or ISDOC handling, when validation rules are specific to your business, or when invoice data can't leave your infrastructure. We'll tell you which fits before you spend anything.

Yes. The Vision AI models support all major European and world languages. We regularly process Czech, Slovak, English, German, and Polish invoices, and the system handles any language. A mixed-language invoice (say, a German supplier with English line-item descriptions) works without special configuration.

Any business that processes a meaningful volume of invoices and wants to cut manual data entry: wholesalers, manufacturers, retail chains, accounting firms, construction companies, and any organization where finance spends hours keying invoice data into an ERP. If you pay per-document SaaS fees or your team keys in more than a hundred invoices a month, a custom system is worth pricing out.

Most projects go from kickoff to production in 4 to 8 weeks. The timeline depends on integration complexity and format variety. A simple setup (one ERP, standard formats) can be ready in about 4 weeks. Projects with multiple systems, custom approval workflows, and diverse supplier formats run closer to 8 weeks.

The pipeline doesn't rely on rigid per-supplier templates, so it adapts to new layouts on its own. For most new suppliers, extraction works from the first invoice. If an unusual format lowers confidence, the system flags it for review and learns from your correction, so you don't need to contact us every time you onboard a supplier.

Yes. We set up monitoring on a designated inbox (for example, invoices@yourcompany.cz), pull the attachments, run them through the pipeline, and deliver validated data to your ERP. Your team only steps in on flagged exceptions. It's one of the most popular configurations because it removes the manual download-and-upload step entirely.

All standard invoice fields: supplier name and address, company ID (IČO), VAT ID (DIČ), invoice number, issue and due dates, total amount, VAT breakdown, currency, bank account, payment reference (variable symbol), and line items with descriptions, quantities, unit prices, and VAT rates. We can also extract custom fields such as project codes, cost centers, or purchase-order numbers when they appear on the invoice.

No. The entire point of system extension is to keep what works. We build on top of your existing systems and connect them through APIs and data pipelines. Your team continues using the tools they already know.

We work with whatever is available. Many older systems offer database access, file exports, or webhooks. We can build custom adapters to extract and sync data even from systems without modern APIs. In the audit phase, we assess each system and recommend the best integration approach.

During the design phase, we define clear rules for which system is the source of truth for each type of data. When conflicts arise, the aggregation layer applies these rules automatically and logs any discrepancies for review. You always know where your data came from and which version is authoritative.

We build integrations against stable, documented APIs and include error handling and monitoring. If a vendor changes their API, our monitoring catches the issue immediately and alerts your team. Most API changes come with advance notice, and we can update the integration before it becomes a problem.

Yes. The aggregation layer is designed to be extensible. Adding a new system means building one more integration and connecting it to the existing data warehouse. The architecture supports growth, so connecting additional tools later is straightforward.

It depends on the systems and your needs. Some integrations support real-time sync through webhooks or event streams. Others work better with scheduled sync intervals, such as every few minutes or hourly. We design the sync frequency based on how current the data needs to be for your operations.

Yes. You own all the code, configurations, and infrastructure. There is no ongoing licensing fee for the layer itself. If you want to modify it, extend it, or bring maintenance in-house later, everything is yours.

Projects start from 80,000 CZK. The final cost depends on the number of systems, the complexity of integrations, and the scope of dashboards and automation. We provide a detailed estimate after the system audit so you know exactly what to expect.

Most projects take 1 to 3 months. Connecting two or three systems with basic dashboards can be done in 4 to 6 weeks. More complex setups with many integrations and extensive automation take closer to 3 months. We scope the timeline during the audit phase.

The aggregation layer includes built-in monitoring and alerting. If a sync fails, the system retries automatically and sends a notification if the issue persists. We also log every data transfer, so you can trace exactly what happened and when. Failures are caught quickly and resolved before they affect your operations.

We evaluate candidates for any IT role: frontend developers, backend engineers, full-stack developers, mobile developers, DevOps engineers, data engineers, QA specialists, and technical leads. We tailor each evaluation to the specific technology stack and seniority level of the role.

Recruiting agencies find candidates. We evaluate them. If you already have candidates from your own sourcing, job postings, or recruiters, we focus purely on assessing their technical ability. We do not source candidates or take placement fees. Our job is to help you make better hiring decisions.

The report covers every area we assessed: technical knowledge, code quality, problem-solving approach, architecture thinking, communication, and collaboration style. Each area includes a score, specific observations, and examples from the evaluation. The report ends with a clear recommendation and any concerns we think you should be aware of.

Yes, that is the most common scenario. You source candidates through your own channels, job boards, or recruiters, and we handle the technical evaluation. This works well because your HR team or recruiter handles cultural screening and logistics while we focus on technical skills.

Typically 1 to 2 weeks from when we receive the candidate's information to when you get the evaluation report. The actual evaluation session takes a few hours. The rest of the time accounts for scheduling, portfolio review, and report preparation.

We can accommodate urgent requests. If timing is critical, we prioritize the evaluation and can deliver results within a few days. Let us know your deadline and we will work with your schedule.

We provide a thorough, honest evaluation of technical skills, but no screening process can guarantee a perfect hire. What we can guarantee is that you will have a clear, evidence-based understanding of each candidate's technical abilities, which significantly reduces the risk of a bad hire.

Screening starts from 15,000 CZK per candidate. The exact price depends on the role seniority, the depth of evaluation, and the number of candidates. We offer volume pricing when screening multiple candidates for the same role.

Yes. Some companies hire us to evaluate their current technical team, identify skill gaps, and recommend where additional hires or training would have the biggest impact. This is especially useful before starting a major project or after a period of rapid growth.

Our team has deep experience across modern web technologies (React, Node.js, TypeScript, Python), cloud infrastructure (AWS, Azure), databases (PostgreSQL, MongoDB), mobile development, and DevOps practices. If you are hiring for a niche technology, we will be upfront about whether we can evaluate it properly.

White box testing means we start with full access to your source code, architecture documentation, and infrastructure configuration. This allows us to find deeper vulnerabilities than external-only (black box) testing. We can trace data flows through the code, identify insecure patterns, and discover issues that automated tools and external testing miss.

Shannon AI is our AI-powered analysis tool that augments manual security testing. It scans codebases for known vulnerability patterns, insecure practices, and suspicious configurations. It helps us achieve thorough coverage across large codebases and identifies areas that need deeper human investigation.

Yes. We handle all source code and test data under strict confidentiality agreements. Access is limited to the testing team, and all materials are securely deleted after the engagement. We can work within your security requirements, including VPN access, on-premise testing, or air-gapped environments if needed.

We follow the OWASP Testing Guide, OWASP Top 10, and PTES (Penetration Testing Execution Standard). Our reports are structured to support compliance with GDPR, ISO 27001, SOC 2, and PCI DSS requirements. We adapt our methodology to your specific compliance needs.

You receive a detailed report containing an executive summary, a list of all findings with severity ratings, proof of exploitability for each vulnerability, specific remediation steps, and an overall risk assessment. After remediation and retest, you get a final report confirming the resolved state.

Yes. We test iOS and Android applications including the mobile client, backend APIs, data storage, and communication security. Mobile testing follows the OWASP Mobile Testing Guide and covers platform-specific security concerns.

At minimum, once a year or after any major release. Companies in regulated industries or those handling sensitive data typically test every 6 months. We recommend testing before major launches and after significant architecture changes.

Engagements start from 50,000 CZK. The exact cost depends on the scope: application size, number of services, infrastructure components, and compliance requirements. We provide a fixed quote after the scoping call.

We prefer to test against a staging or test environment to avoid any impact on production. If production testing is necessary, we agree on specific rules of engagement and timing to minimize risk. We never run destructive tests without explicit approval.

We provide detailed remediation guidance for every finding. If your team needs additional support, we can assist with implementing fixes or reviewing proposed solutions. After remediation, we retest to confirm that each issue is properly resolved.

Yes. OSINT uses only publicly available information. We do not hack into systems, access private data, or break any laws. All information we collect is legally accessible: public records, social media posts, corporate filings, domain registrations, and similar sources. We operate within legal and ethical boundaries at all times.

It depends on the target and scope, but typically: corporate records, financial filings, domain and infrastructure details, social media presence, employee information, leaked credentials, technology stack indicators, litigation history, public reviews, news mentions, and dark web exposure. The specific findings vary based on what is publicly available.

Google indexes a fraction of the publicly available internet. OSINT uses specialized tools, databases, and techniques to find information across surface web, deep web, and dark web sources. We know where to look, how to cross-reference data, and how to interpret what we find. The structured analysis and context we provide is where the real value lies.

Yes. We offer ongoing monitoring engagements where we track changes to your digital footprint, competitor activity, brand mentions, and dark web exposure over time. You receive regular reports and immediate alerts for critical findings.

Investors conducting due diligence, companies vetting partners or acquisition targets, security teams assessing their own exposure, organizations monitoring competitive landscapes, and legal teams gathering evidence for disputes. Any business that makes decisions based on information about other organizations can benefit.

A structured report organized by finding category, with each finding assessed for relevance and accompanied by context and recommendations. The report includes an executive summary, detailed findings, supporting evidence, and suggested next steps. We present the report to your team and answer questions.

Engagements start from 25,000 CZK. The final price depends on the scope: number of targets, depth of analysis, whether dark web monitoring is included, and the turnaround time. We provide a fixed quote after the scoping call.

Yes, within legal and ethical boundaries. We can compile profiles based on publicly available information: social media presence, professional history, public records, and online activity. This is commonly used for executive background checks, key personnel assessments, and fraud investigations.

All findings are shared exclusively with the designated contacts on your team. Reports are delivered through secure channels, and we follow strict confidentiality agreements. If we discover something especially sensitive, such as active threats or leaked credentials, we notify you immediately through a pre-agreed secure channel.

Yes. After an incident, OSINT helps trace threat actors, identify their infrastructure, gather evidence from public sources, and understand the scope of any data exposure. This supports your incident response and can provide evidence for legal proceedings.