AI product development
KrueAI works with early-stage startups to design, build, and ship AI features - LLM-powered products, assistants, RAG systems, recommendations. Not a demo that dies in a notebook. Something in your app, in front of users, that you can measure.
What we build
Most early teams know AI should be in their product. Fewer know which part, or how to build it so it holds up once real users hit it. That's the gap.
Chat interfaces, copilots, and generation features built into your product. Including the parts that decide whether it's usable: prompt architecture, guardrails, fallbacks, and cost control. Fine-tuning when prompting isn't enough.
Making your documents, tickets, or product data answerable. Retrieval design, chunking, embeddings, and the evaluation that tells you when it's confidently wrong.
Agents that plan, use tools, and complete multi-step work rather than just answering. Routing between specialised agents, handling failure, and keeping a human in the loop where it matters.
The unglamorous ML that still moves the numbers: churn, conversion, fraud, demand forecasting, lead scoring, pricing. Built on your data, with an honest read on whether the signal is actually there.
Ranking, targeting, and content selection that improve as they run. Including the hard parts: cold start, exploration, and knowing when the model is wrong.
Not sure what to build yet? We audit your product and your data and come back with a ranked list of what's worth building and what isn't.
How it works
Thirty minutes on where your product is, what data you're sitting on, and what you're trying to move. Free, and often enough to tell you whether AI is even the right answer.
A short paid engagement under NDA. If you know what you want built, you get a written scope: approach, effort, timeline, risks. If you don't yet, you get a ranked list of what's worth building and why. Credited against the build if we continue.
The system, the evaluation around it, and documentation your team can own. Handover is part of the work, not an afterthought.
It goes live, and you find out whether it worked with a measurement setup that can actually tell the difference.
Get in touch
Early-stage teams, first AI systems, and products where the thing has to actually work rather than just demo well. Happy to sign an NDA before you share anything.
mansi@krueai.in