Every project starts with a business problem. Here's how we solved them.
A Czech e-commerce company selling consumer goods across multiple channels replaced manual order processing with a unified automated platform. The system connects their web store, Heureka, Mall.cz, and wholesale partners into a single workflow that handles everything from order intake to shipping label creation. With over 150 orders per day flowing through the platform, the operations team shifted from repetitive data entry to focusing on supplier relationships and catalog growth.
A 30-person B2B services company replaced an expensive, underused Salesforce setup with a custom CRM that their sales team actually adopted. The new system was designed around their real workflow, not the other way around. Within weeks of launch, pipeline visibility went from zero to complete, and the average deal cycle dropped by 40%. The company also saved over $5,100 per year in licensing costs by moving off Salesforce entirely.
A mid-size SaaS company deployed a custom AI agent to handle repetitive support tickets, cutting response times from hours to seconds. The AI-powered helpdesk integration resolved 60% of incoming requests without human involvement, freeing the support team to focus on complex, high-value cases. Within weeks of launch, customer satisfaction scores climbed from 3.2 to 4.6 out of 5. The flat-cost model also eliminated the per-resolution fees that built-in SaaS AI tools would have charged.
A Czech wholesale distributor processing 800+ invoices per month replaced expensive per-document SaaS fees with a custom GPT-5.3 vision system, cutting costs by 87% and keeping all data on their own servers. The AI pipeline handles full invoice extraction including line items, automatic cost categorization, and direct posting into ABRA Flexi. What used to take 67 hours of manual data entry each month now runs with minimal human oversight, freeing the accounting team to focus on analysis and financial planning.
A logistics company running five separate platforms (WMS, TMS, accounting, CRM, and HR portal) needed a single view of operations without replacing any existing system. Bitvea built a custom aggregation layer that connected all five platforms via APIs, created unified dashboards, and automated cross-system workflows. The result: manual reporting time dropped by 70%, management gained real-time visibility across every department, and the entire project was delivered in 8 weeks with zero system replacements.
A fintech startup scaling from 15 to 40 engineers had already made three costly mis-hires at the senior level, wasting roughly $180,000 in salaries, onboarding, and lost productivity. They brought Bitvea in to screen all technical candidates before extending offers. Over six months, Bitvea evaluated 45 candidates through structured technical assessments, architecture reviews, and culture-fit interviews. Of the 12 candidates recommended, all 12 were hired and all 12 remained at the company after one full year. The mis-hire rate dropped to zero.
A healthcare SaaS company preparing for ISO 27001 certification needed a thorough security audit of their platform, which processes sensitive patient data for over 200 clinics. Bitvea performed white-box penetration testing with full source code access, uncovering 23 vulnerabilities: 3 critical, 7 high severity, and 13 medium. One critical finding was an authentication bypass that could have exposed patient records. All issues were remediated before the certification audit, and the company passed on the first attempt. The entire engagement, from initial scoping to the final remediation report, took 3 weeks.
A Central European investment group evaluating three acquisition targets worth a combined 5 million EUR engaged Bitvea to perform comprehensive open-source intelligence (OSINT) due diligence on each company. The analysis uncovered undisclosed litigation against one target, fabricated customer reviews for another, and a key executive's connection to a previously failed venture that had not been mentioned in any disclosure documents. Based on these findings, the group eliminated one target entirely, avoiding an estimated 1.5 million EUR in potential losses. Across all three targets, Bitvea identified 47 risk factors that traditional financial due diligence had not surfaced.