Put AI into production — not just into slide decks.
Senior engineers who find the AI use cases worth funding, then design, build and run the agents, RAG and automations inside your stack. From a fixed-scope diagnostic to a production system in weeks.
20 years of engineering at Siemens, ASML, IBM / Deutsche Bank · AWS Solutions Architect · Builders of Kuaray Oka, an MCP-native product
Most AI initiatives stall somewhere between the demo and production.
Pilots that never ship
A chatbot demo impressed the board. Six months later it still isn't connected to real data or real users.
No guardrails, no trust
Hallucinations, data leaks and GDPR questions block rollout because nobody built evals, permissions or audit trails.
Nobody owns it after launch
Models change monthly. Without someone running and improving the system, quality quietly decays.
Start small, prove value, then scale.
Every engagement has a fixed scope and a clear deliverable. No open-ended retainers until you've seen results.
AI Discovery Call
30 min- Your processes and data, in your words
- 2–3 candidate use cases
- Honest take on whether AI fits
AI Diagnostic
2 weeks- Use-case map ranked by ROI and risk
- Data & security readiness review
- Target architecture
- Build proposal in 3 packages (Basic, Pro, Enterprise)
Pilot to Production
4–10 weeks- Senior team assembled for your stack
- Evals, guardrails and monitoring built in
- Integrated with your systems, not a demo
AI Operations
Ongoing- Monitoring and continuous improvement
- Model upgrades, new agents, tuning
- Pause or stop any month
AI that does real work inside your business.
Not a chatbot bolted on the side: agents wired into your systems, with guardrails, evals and a human approving what matters.
AI agents & copilots
Assistants for sales, support and ops that use your tools and act — with a human approving what matters.
Knowledge search (RAG)
Answers grounded in your contracts, docs and tickets, with sources and access control per user.
Document & workflow automation
Invoices, forms, email and WhatsApp intake processed end-to-end, posted straight into your ERP or CRM.
MCP servers & agent-ready APIs
Make your product usable by Claude, ChatGPT and other agents — the same tech behind Kuaray Oka.
LLM features in your product
Summaries, smart search, classification and generation shipped inside your existing web or mobile app.
Evals, guardrails & LLMOps
Test suites, cost and quality monitoring, and GDPR-aware data handling so AI stays reliable after launch.
Also need the non-AI parts? We do full-stack web, mobile, cloud/DevOps and data engineering too — see all engineering services.
Human-in-the-loop by design.
AI speeds up our delivery; senior engineers own every decision and every line that ships. Your data stays yours, contracts run through our EU (Estonian) company, and we work in your timezone.
- Week 0
Discovery call
We listen, ask hard questions and tell you if AI is not the answer.
- Wk 1–2
Diagnostic
Use-case ranking, architecture and a scoped build proposal.
- Wk 3–10
Build & ship
A senior team curated for your stack ships in weekly increments you can test.
- Ongoing
Run & improve
Monitoring, model upgrades and new automations as an ongoing engagement.
Kuaray Oka — MCP-native landing pages for the agentic economy.
Businesses publish a page that AI assistants can discover, query and book against — over MCP, WhatsApp or HTTP. The patterns we use for clients, proven in our own production SaaS.
Explore Kuaray Oka →
“You talk to the engineer who'll design your system, not a sales team. I've spent 20 years shipping software for Siemens, ASML and Deutsche Bank — now I help companies get AI past the demo.”
Guilherme Brascher Elizeire · Founder & Principal Engineer · AWS Solutions Architect
Questions we hear first
Is our data safe? Will it train someone's model?
We use enterprise APIs with no training on your data, EU hosting when required, and per-user access control. Contracts run through our EU company.
Which models do you use?
Whatever fits the task and budget — Claude, GPT, Gemini or open models. We design so you can switch later.
We don't know where to start. Is that OK?
That's what the Diagnostic is for: two weeks, a clear scope, and you leave with a ranked plan whether or not you build with us.
Where is the team?
Senior engineers in Brazil with full overlap with US hours and a solid half-day with Europe, led by a founder with a decade working in Germany.
Find the first AI use case worth shipping.
30 minutes, no slides. You leave with 2–3 concrete ideas and an honest view of cost and risk.