We build AI systems that turn your soft data into reliable, grounded answers.
No made-up facts. No embarrassing mistakes. No lawyer calls.
Here's why — and how we build the other kind.
Most AI projects are built with more complexity than the problem requires — massive pipelines, unnecessary infrastructure, and bloated costs. The result? An assistant that hallucinates answers, formats responses inconsistently, and gives you zero visibility into what it's actually doing.
What that looks like in production:
We build AI that's the right size for the actual problem — no unnecessary complexity, no inflated costs. Every answer is grounded in your source documents, and you get full visibility into how it works through a clean, easy-to-use dashboard.
What that means in practice:
Every answer our AI gives is checked against your actual documents before it reaches the user. If it can't back up the claim, it says so — instead of making something up.
In plain English: it can't lie to your customers.
Before your AI goes live, we run it against hundreds of adversarial and edge-case questions — the kind your real users will eventually ask.
We find the problems first. Not your users in production.
AI costs can spiral out of control if you don't watch them. We track exactly what every question costs you, which ones are expensive, and which ones are worth it.
No surprise bills. No wondering where the money went.
An AI assistant that answers residents' questions about city rules — zoning, permits, noise ordinances, fees — across multiple municipalities. Residents get instant, accurate answers. City staff stops fielding the same questions 40 times a week.
City ordinances are thousands of pages of legal text. Residents ask questions like "Can I build a fence taller than 6 feet?" or "What does a zoning variance cost?" The wrong answer isn't just embarrassing — it's a potential lawsuit.
Most AI chatbots would confidently make up a number. Ours either gives the exact number from the ordinance, with a link to the source, or it admits it doesn't know.
We knew AI could transform how municipalities access public records, but building it right required deep expertise. Guru Cloud & AI helped us architect a system that actually understands government documents and integrated it seamlessly into our platform. They made the complex feel manageable.”
This is the real GovToKnow assistant running against live municipal data. Ask about building permits, zoning, noise ordinances, or fees.
Live demo using Happytown — a showcase municipality. Responses are generated from real ordinance data via our production RAG pipeline.
Tell us what you're trying to build. We'll tell you honestly whether we can help, what it'll cost, and what to watch out for.
No sales deck. No obligation. Fee credited toward any engagement.
No jargon. No runaround. Just straight answers about how we work.
A starter project ships in 2–4 weeks. A full build like GovToKnow takes a few months end-to-end. We'll give you honest numbers on the review call.
No slide deck. No sales pitch. You tell us about your documents and what you want the AI to do. We ask questions. We tell you the top 3 risks we'd worry about, whether we think it's buildable, and a rough cost range. 30 minutes. Done.
Yes. We sign an NDA before the call if you want one. Your documents stay in your cloud account — never ours. And our AI is designed so it can't leak one customer's data into another customer's answer.
That's most of what we do. We fix broken AI projects more often than we build new ones. Bring what you have — we'll tell you if it's salvageable or if starting over is faster.
No. GovToKnow is our most visible example because legal accuracy is the hardest version of the problem. If we can ship an AI that handles city ordinances without making mistakes, we can ship one for your product docs, your HR policies, your customer support knowledge base, or your internal operations manual.