Enterprise AI That Ships to Production
We bridge the gap between innovation labs and operational reality. We turn R&D into measurable ROI with rigorous compliance and security.
Trusted Compliance Standards
Trusted by Enterprises
25+ production AI implementations delivered for enterprises in fintech, HR, and regulated sectors.
Our Services
Comprehensive offerings from initial concept to full production deployment.
Applications
We build fully functional web and mobile applications with modern technology stacks, focused on exceptional user experience and scalability.
MVPs
Minimum Viable Product - a minimal version of your product with core features, allowing you to quickly test your idea in the market and validate business assumptions.
PoCs
Proof of Concept - a technical prototype that validates the feasibility of your solution and key technical assumptions before full implementation.
Training
We train teams in Vibe Coding - a modern approach to rapid prototyping, as well as writing unit tests, integration tests, and end-to-end tests.
What You Get
Comprehensive AI implementation focused on business outcomes, not just technology.
Use case → ROI
We select one high-leverage use case in your domain, define success metrics, and deliver an implementation plan tied to business outcomes.
Data & integration
We integrate AI with your systems (ATS, CRM, core banking, ERP) and data in a way that aligns with your architecture, security posture, and operating model-so it runs live in your environment.
Governance when it matters
We apply a risk-based approach: stronger controls for higher-impact use cases (e.g. hiring decisions, credit scoring, access to essential services-areas where AI Act or sector regulations require human oversight and auditability), lighter controls for low-risk applications-so innovation doesn't get stuck.
Founder
Grzegorz Bielski
CEO & Lead Consultant
Built by engineers who have shipped at scale.
We don't just write whitepapers. We write production code. Our team combines deep academic knowledge with pragmatic engineering discipline.
- check10+ years shipping ML infrastructure at Big Tech
- checkSpecialized in highly regulated industries (Finance, Health)
- checkProprietary evaluation frameworks for LLM safety
- checkFlat fee structure based on milestones, not hours
Implementation Timeline
From initial audit to full-scale deployment in 12 weeks.
Scope & use case
Choose the first implementation target, success metrics, and constraints (security, data, vendor stack).
Build & integrate
Data, tooling, workflows, and system integration. Guardrails where needed.
Deploy & operate
Operational rollout with monitoring, handover, and routines for teams.
Scale
Replicate the proven pattern to the next use cases.
Frequently Asked Questions
Do you implement AI end-to-end or only advise?expand_more
End-to-end-from scope to operational rollout, including integration and team routines.
What's a typical starting point?expand_more
One high-ROI use case with clear success metrics and an implementation plan tied to real workflows. Common examples: recruiting ops automation, credit scoring, compliance monitoring, customer service automation.
How do you handle risk and compliance?expand_more
We assess AI Act applicability for your use case. If it applies, we design required controls and documentation without blocking innovation or extending timelines. Risk-based governance: stronger controls for higher-impact AI, lighter for low-risk applications.
What do I get in the Strategic Assessment?expand_more
A 60-minute call + written summary: use case recommendation, integration plan, risk classification (AI Act applicability), indicative timeline and budget scope. Typical engagements start at €10k and range to €200k+ depending on scope and integration complexity.
How much does implementation cost?expand_more
Pricing depends on scope, integration complexity, and risk profile. Typical implementations range from €10k (single focused use case) to €200k+ (multi-system integration with high-risk controls). We work on milestone-based fixed fees, not hourly rates. The Strategic Assessment provides a detailed budget scope tailored to your needs.
How fast can we start?expand_more
Initial scoping can start quickly; timelines depend on data readiness and integration complexity. Typical engagement: 8–12 weeks from scope to operational rollout.
NDA?expand_more
Yes-NDA is standard before sharing sensitive details.
Do you provide ongoing support after implementation?expand_more
Yes. After operational rollout, we offer structured handover with documentation, team training, and monitoring playbooks. We can provide ongoing support packages including performance monitoring, optimization, and expansion to new use cases - or hand off completely to your team. Support terms are defined during the Strategic Assessment based on your needs.
Do you create applications, MVPs and PoCs?expand_more
Yes. We build fully functional applications, Minimum Viable Products (MVPs), and Proof of Concepts (PoCs). An MVP is a minimal version of your product with core features, allowing you to quickly test your idea in the market. A PoC is a technical prototype that validates the feasibility of your solution and key technical assumptions. Both approaches help minimize risk and costs before full-scale implementation.
Do you offer training?expand_more
Yes. We train teams in Vibe Coding - a modern approach to rapid prototyping and development that combines intuitive tools with engineering best practices. We also provide training in writing application tests, covering unit tests, integration tests, and end-to-end tests to ensure high quality and reliability of your code.
Is your organization ready for AI?
Fill out the form below to schedule a confidential discovery call with our engineering team.