AI
Generative AI and machine learning, built on AWS Bedrock and SageMaker or your own stack, and wired into the systems your team already uses. We measure cost per outcome — not per token — and ship with evals and guardrails so it stays trustworthy.
Generative AI
RAG over your private data, assistants, and agents — each scoped to a real workflow and judged on outcomes, not demos.
Machine Learning
Models for prediction, classification, and ranking, trained and evaluated against your own data.
Bedrock
Managed foundation models on AWS Bedrock: fast to production, governed, and inside your security perimeter.
SageMaker
Training, tuning, and deployment pipelines on SageMaker when you need full control of the model lifecycle.
Custom integrations
We wire AI into the tools your team already uses, with evals and guardrails so it stays reliable.
Frame
Pick a real workflow and define what a good outcome looks like.
Prototype
Stand up the smallest thing that proves it can work.
Evaluate
Measure quality, cost, and risk with evals you can trust.
Integrate
Wire it into production with guardrails and monitoring.
Models that earn their keep.
A private AI assistant, in their own cloud.
A self-hosted, multi-model assistant on AWS Bedrock for a research foundation: frontier models behind staff-only SSO, in their own EU account.
A desktop AI co-pilot for sales calls.
An in-house native desktop app: listens to a live call, transcribes on-device, streams talking points from your own data.
A document-AI pipeline that rests at ~€18/month.
A Greek engineering firm's on-prem permit-processing PoC, migrated to a scale-to-zero serverless AWS pipeline: OCR + a Greek LLM.