AI Acceleration Services
We start by understanding the real problem — through research, not assumptions. Then we build solutions that last.
How we can help
Three ways to work together, depending on where you are.
Discovery & UX Research
We talk to your users, map your processes, and deliver a clear implementation plan rooted in real needs — not assumptions.
- Stakeholder and end-user interviews
- Audit of existing processes and data
- Top AI use case identification
- Prioritized implementation roadmap
- ROI and feasibility assessment
Prototype to Production
From validated insight to a working system — tested, integrated, and monitored. Timeline depends on the project's real complexity.
- Everything in Discovery & UX Research
- Working prototype with real data
- Integration with existing systems
- Quality testing and evaluation
- Documentation and knowledge transfer
- Observability and monitoring
Optimization Retainer
Ongoing support for monitoring, optimizing, and expanding your existing AI solutions.
- Model performance monitoring
- Continuous optimization from feedback
- Priority technical support
- Monthly performance reports
- AI governance consulting
- Updates to latest models
How we work
A clear process — from understanding the real problem to results in production.
Research
We talk directly with your users and stakeholders to understand the real challenge — not just the assumed one.
Design
We architect the right solution grounded in real user needs, with clear milestones and success criteria.
Build
We develop, test, and iterate alongside your team — informed by what we learned.
Scale
We deploy to production and continuously optimize based on real usage and feedback.
Frequently asked questions
What do you need to get started?
Just a conversation. We start by understanding your business context and talking to the people involved — your team, your users. We don't need "clean" data or a detailed brief upfront.
Do solutions work on-prem or in the cloud?
Both. We can deploy on your existing infrastructure (on-premise) or in the cloud (AWS, Azure, GCP). Your data stays under your control.
Which AI models do you use?
We choose the right model for each use case — from GPT-4, Claude, and Gemini to open-source models (Llama, Mistral). We prioritize the performance/cost ratio and avoid vendor lock-in.
How long does a typical project take?
It depends on the project. Discovery & UX Research usually takes 1–3 weeks. A full prototype-to-production engagement is scoped based on what we learn during discovery — we don't commit to timelines before we understand the real problem.
How do you ensure GDPR compliance?
We design privacy-by-design: data minimization, anonymization where possible, controlled access, and complete documentation. We also work with your legal team to ensure compliance.