We do two things with AI: integrate it into the apps and platforms you already run, and build custom AI agents engineered around your requirements. Practical, grounded in your data, and built to fit your existing systems.
What We Do With AI
You already have a product or platform. We add AI capabilities inside it — search that understands intent, summaries, recommendations, document understanding, natural-language interfaces — connected to your own data and working within your current stack.
We design and build AI agents that carry out real work — retrieving information, making decisions within guardrails, calling your APIs and tools, and completing multi-step tasks. Scoped to your process, with a human in the loop wherever judgment matters.
Use Cases
Practical applications we can build into products across industries.
Natural-language support, search and guidance trained on your own knowledge base.
Extract, classify and summarize invoices, contracts, forms and reports.
Search that understands meaning, not just keywords, across your content.
Personalized suggestions for products, content or next-best actions.
Agents that triage, route and complete repetitive rule-heavy tasks.
Turn raw data and long documents into clear, decision-ready summaries.
How We Build AI
We start from a real task with clear value — not "add AI for the sake of it." If a simpler solution wins, we'll say so.
We connect the model to your content and systems so answers are accurate and relevant, with sources where it matters.
A working prototype tested against real examples, measuring quality before it ever reaches your users.
Controls, fallbacks and human-in-the-loop review so the system behaves safely and predictably.
We ship it into your product and keep watching quality, cost and usage after launch.
Approach & Tooling
RAG pipelines that keep answers tied to your real, current data.
We select hosted or open models per use case, cost and privacy needs.
Clear data handling, and self-hosted options where sensitivity demands.
AI exposed cleanly to your app through well-documented endpoints.
Quality measured against real examples before and after launch.
People stay in control where judgment and accountability matter.
We match models and tools to each project. We don't claim ownership of third-party models or make guarantees about their output beyond what we engineer and test.
AI FAQ
Usually yes. We integrate AI into your existing stack through APIs and services, so your current product keeps running while it gains new capabilities.
That's the point. We ground the AI in your content and systems so responses are relevant and accurate — with source references where it matters.
An AI system that can take actions to complete a task — retrieving information, calling your tools and APIs, and working through multiple steps within defined guardrails.
Retrieval grounding, evaluation against real examples, guardrails and human-in-the-loop review where decisions carry weight.
We design data handling up front and can use self-hosted or private models where sensitivity requires it.
Tell us the task you want AI to help with. We'll assess feasibility and propose the smallest useful first step.
Tell us what it is. We'll tell you honestly whether AI is the right tool — and if so, the simplest way to prove it.
