Most AI pilots stall in a notebook. Devotica builds the platform underneath them: retrieval grounded in your own data, agents that do real work, and the evaluation and ops to run it safely. Built on Amazon Bedrock and model-agnostic underneath — never locked to one model.
We connect documents, databases, and knowledge graphs into a retrieval pipeline so models answer from your data, not generic training data.
Four capabilities that take generative AI from demo to dependable, on whichever cloud and models you prefer.
Chat, search and copilots grounded in your knowledge base — accurate, cited, and safe to put in front of users.
Tool-using agents that take action against your systems — with guardrails, approvals and a full audit trail.
Versioned prompts, automated eval suites, cost and latency tracking, and guardrails — so quality is measured, not hoped for.
Use-case discovery, build-vs-buy, data readiness and an architecture your team can own — not a vendor lock-in.
We connect large language models to your documents, tickets and databases through retrieval — so responses are accurate, current and cited. The difference between a demo that hallucinates and a tool people actually trust.
Beyond chat: agents that query systems, draft and execute actions, and hand off to people when it matters. We wire in tools, guardrails and approvals so automation is useful without being reckless.
You can't improve what you don't measure. We build evaluation suites, version prompts, and track quality, cost and latency in production — so every change is a known quantity, not a vibe.
We help you separate AI theatre from real value — and build the foundation to capture it.
Workshops to find the handful of opportunities with real ROI and acceptable risk — and the data to back them.
An honest look at whether your data can support AI — and a plan to close the gaps if it can't yet.
Policies for data use, model choice, safety and compliance — so AI scales without scaring legal.
Clear-eyed guidance on what to build, what to buy, and how to avoid lock-in as the model landscape shifts.
Reference architectures, patterns and hands-on upskilling so your engineers own what we build together.
A working proof of value in weeks, on real data, so decisions are based on evidence — not a vendor deck.
Tell us what you want AI to do. We'll come back with the highest-value use case, an architecture, and a plan to get it into production.
Scope an AI project →