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.

Shopify and WooCommerce are solid choices for straightforward retail stores. But if your pricing model includes customer-specific rates, your checkout needs approval workflows, or your fulfillment process requires tight integration with warehouse and ERP systems, you will spend more on plugins, workarounds, and transaction fees than on building a custom platform. With a custom build, you also own the code, avoid platform lock-in, and eliminate per-transaction fees that grow with your revenue.

Yes, B2B e-commerce is one of our core strengths. We build portals with customer-specific pricing tiers, volume discount logic, quote request workflows, approval chains, net payment terms, and integration with your invoicing and ERP systems. B2B buyers get a self-service ordering experience that reduces your sales team's manual workload while keeping all business rules enforced automatically.

We integrate any payment gateway your market requires: Stripe, GoPay, Comgate, PayPal, bank transfers, cash on delivery, and more. We can also implement split payments, installment options, recurring billing, and B2B payment terms like net-30 or net-60 invoicing. The choice of gateway depends on your market, customer preferences, and transaction volume.

Yes. We handle full migration of your product catalog, customer accounts, order history, and content. We also set up proper URL redirects to preserve your search engine rankings and ensure existing links and bookmarks continue working. The migration plan is part of the scoping phase so there are no surprises during the transition.

Performance and SEO are built into the architecture from day one. We use server-side rendering with Next.js, optimize images and assets automatically, and keep the codebase lean without unnecessary third-party scripts. This results in fast page loads, strong Core Web Vitals scores, and proper semantic HTML that search engines can crawl and index effectively. Fast stores rank higher and convert better.

Businesses with unique pricing structures, B2B sales models, complex product catalogs, multi-channel requirements, or specific fulfillment needs. If you find yourself constantly working around the limitations of template platforms, paying for plugins to patch missing functionality, or losing margin to transaction fees, a custom platform will save you money and give you full control over the customer experience.

Typically 2 to 4 months for the initial launch. We prioritize getting core selling functionality live first: product catalog, checkout, payment, and order management. Advanced features like loyalty programs, advanced analytics, or additional sales channels are added after launch based on real customer behavior and your priorities.

We offer ongoing support and maintenance plans that cover security updates, performance monitoring, bug fixes, and feature additions. Since you own the platform, you are not dependent on us for everything. But most clients choose a support plan because their store evolves continuously with new products, promotions, and integrations.

Yes. We build multi-language and multi-currency support into the platform architecture. This includes localized product content, currency-specific pricing rules, regional tax calculations, and language-aware SEO with proper hreflang tags. Adding a new market later does not require rebuilding the store.

We design the data model around your specific catalog structure. Whether you have products with dozens of variants, configurable items with dependent options, bundles, or technical specifications with compatibility rules, the system handles it cleanly. Faceted search, smart filters, and structured product data ensure customers can find what they need even in large catalogs with thousands of SKUs.

Both. We use React Native for cross-platform development, which means one codebase runs natively on iOS and Android. You get both platforms for roughly 60 to 70 percent of the cost of building two separate native apps. The result looks and feels native on each platform.

Yes. We build offline-first apps when your use case requires it. The app stores data locally on the device and syncs automatically when connectivity returns. We handle conflict resolution and queued actions so nothing gets lost. This is especially important for field teams, warehouses, and remote locations.

Yes. We manage the entire submission process for both platforms. This includes preparing app metadata, descriptions, screenshots, privacy policies, and handling any review feedback from Apple or Google. We also set up your developer accounts if you do not have them yet.

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 4 to 6 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 on both iOS and Android with native performance. This means faster delivery, lower development cost, and easier maintenance since updates only need to be made once. For most business apps, React Native provides the same user experience as fully native development at a significantly lower cost.

We can build for a single platform if that is all you need. However, because we use React Native, supporting both iOS and Android adds relatively little extra effort. Most clients choose to launch on both platforms from the start since the incremental cost is small compared to the additional reach.

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.

Not necessarily. Many AI solutions work well with existing business documents, emails, and internal knowledge bases. For document processing, even a few dozen examples of each document type can be enough to train an accurate model. For customer support automation, your existing FAQ, help articles, and past support tickets are usually a strong starting point. We assess what you have during the analysis phase and design the solution to work with the data available.

AI is not perfect, and we are always honest about that. However, for well-defined, repetitive tasks, AI can be very accurate, often more consistent than manual processing. The key is how you handle uncertainty. We build confidence scoring into every AI agent, so the system knows when it is unsure and routes those cases to a human reviewer. Over time, the AI learns from corrections and improves. For most business tasks, the error rate drops well below what manual processing produces.

AI is best at handling first-line support: answering common questions, providing order status updates, routing tickets to the right department, and resolving straightforward issues. Complex, sensitive, or unusual cases are escalated to your human team with full context. The result is that your support team spends less time on repetitive questions and more time on the conversations that genuinely need a person. Most businesses see a 40 to 60 percent reduction in routine ticket volume after implementing AI support agents.

Yes. We take data security seriously and offer multiple deployment options depending on your requirements. We can deploy AI solutions on your own infrastructure, use private cloud instances, or work with API providers that offer data processing agreements and do not use your data for model training. We also implement access controls, encryption, and audit logging. Your business data is never shared with or used to train third-party models.

Most businesses see return on investment within 3 to 6 months. The savings come from multiple sources: reduced time spent on manual tasks, fewer data entry errors and the cost of fixing them, faster customer response times leading to better satisfaction and retention, and the ability to handle growing volume without proportional headcount increases. We help you define ROI metrics before the project starts and track them throughout, so the business case is always clear.

AI automation delivers the most value for businesses that deal with high volumes of repetitive tasks: document processing, customer inquiries, data entry, email sorting, order processing, and similar operations. If your team spends a significant portion of their week doing the same tasks over and over, AI can almost certainly help. Company size matters less than task volume. We work with teams as small as 5 people and as large as 500.

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

No. Our AI solutions integrate with the tools you already use. Whether it is your ERP, CRM, email platform, accounting software, or internal databases, we build the integration layer that connects AI to your existing stack. Your team continues working in the same tools they know. The AI works behind the scenes or adds a thin layer on top.

AI agents can be updated and retrained as your processes evolve. If you add new document types, change your support policies, or restructure your workflows, we adjust the AI accordingly. This is one of the advantages of custom-built AI over generic platforms: it adapts to your business, not the other way around. We also offer ongoing support and maintenance packages for clients who want continuous improvement.

General-purpose AI tools like ChatGPT are powerful, but they are not connected to your systems, your data, or your workflows. They cannot process your invoices, update your CRM, respond to your customers with accurate information, or follow your specific business rules. What we build are custom AI agents that are trained on your data, integrated with your tools, and designed to complete specific tasks 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.

For standard invoice formats, we typically achieve 95%+ field-level accuracy on first deployment. This means supplier name, invoice number, date, total amount, and VAT are correctly extracted in at least 95 out of 100 invoices. Accuracy improves over time as the system processes more of your specific invoices and learns recurring patterns. For complex or unusual layouts, we always include a human review step so nothing gets posted incorrectly.

Yes. We integrate directly with Pohoda, ABRA Flexi, Money S3, and any accounting or ERP system that provides an API. For systems without a standard API, we can work with file-based imports (XML, CSV) or database-level integration. We map extracted fields precisely to your system's data structure, so your finance team does not need to change how they work.

Modern Vision AI handles scanned documents, phone photos, and partially damaged invoices well. For truly illegible text or severely damaged documents, the system flags them for human review rather than guessing. In practice, the vast majority of business invoices, even older scanned ones, are processed successfully. We test with your actual document quality during the build phase so you know what to expect.

SaaS invoice processing tools charge per document, typically between 0.50 and 5 CZK per page depending on the provider and volume. A custom system has a one-time build cost and low monthly hosting fees (usually a few hundred CZK). If you process 500+ invoices per month, the custom system typically pays for itself within 6 to 12 months. After that, your per-invoice cost is essentially zero.

Yes. The Vision AI models we use support all major European and world languages. We regularly process Czech, Slovak, English, German, and Polish invoices, but the system handles any language. Multi-language invoices (for example, a German supplier sending invoices with English line item descriptions) work without any special configuration.

Any business that processes a significant volume of invoices and wants to reduce manual data entry. This includes wholesalers, manufacturers, retail chains, accounting firms, construction companies, and any organization where the finance team spends hours keying invoice data into an ERP. If you are paying per-document fees for a SaaS tool or your team manually enters more than 100 invoices per month, a custom system will likely save you money and time.

Most projects go from kickoff to production in 4 to 8 weeks. The timeline depends on the complexity of your integrations and the variety of invoice formats. Simple setups (one ERP, standard invoice formats) can be ready in 4 weeks. More complex projects with multiple systems, custom approval workflows, and diverse supplier formats take closer to 8 weeks.

The system is designed to handle new and unseen invoice formats. Vision AI does not rely on rigid templates, so it adapts to new layouts automatically. For most new suppliers, extraction works correctly from the first invoice. If a particularly unusual format causes lower accuracy, the system flags it for review, and we can retrain the model to improve. You do not need to contact us every time you onboard a new supplier.

Yes. We can set up automatic email monitoring that watches a designated inbox (for example, invoices@yourcompany.cz), extracts PDF attachments, processes them through the AI pipeline, and delivers structured data to your ERP. Your team only gets involved when the system flags an exception. This is one of the most popular configurations because it eliminates the manual download-and-upload step entirely.

The system extracts all standard invoice fields: supplier name, address, company ID (ICO), VAT ID (DIC), invoice number, issue date, due date, total amount, VAT breakdown, currency, bank account, payment reference, and individual line items including descriptions, quantities, unit prices, and VAT rates. We can also extract custom fields specific to your business, such as project codes, cost centers, or purchase order numbers, if 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.