AI your users
can actually trust.
Ward scores every model output for trustworthiness in real time — catching hallucinations before they ever reach your users. Any LLM. One line of code.
Sits in front of every model you already use
Your AI is confident.
That's the problem.
Hallucinations don't announce themselves. The AI that makes things up sounds exactly like the AI that doesn't — until your users find out the hard way. Ward is the layer that can tell the difference.
Every output scored,
before your users see it.
Intercept
Ward sits between your model and your users — one API call, no pipeline redesign, no fine-tuning.
Score
Every output gets a real-time trust score in under 10ms. Confident wrong answers stop looking like confident right ones.
Gate
Pass what's trustworthy, flag or hold what isn't — with a score you can route, log, and act on.
Trust infrastructure,
not another dashboard.
Catches hallucinations
Ward scores every output for trustworthiness before it reaches your users. Confident wrong answers get flagged — not sometimes, every time.
Real-time
Sub-10ms scoring on a single API call between your model and your users. No model changes, no fine-tuning, no pipeline redesign.
Any LLM
GPT, Claude, Gemini, Llama — every model you already use. Ward sits in front of all of them. One integration, universal coverage.
Drop it in.
One line.
No model changes, no fine-tuning, no pipeline redesign. Wrap your model output, read the trust score, decide what ships. That's the whole integration.
import { Ward } from "@human-intelligence/ward"; const ward = new Ward(apiKey); // score any model output before it shipsconst { trust, verdict } = await ward.check(output); if (verdict === "flagged") hold(output);The standard your AI products deserve.
Built for every team that refuses to ship AI they can't stand behind.
Human Intelligence, in Jamaica.
We submit rigorous policy analysis to Jamaican ministries on structural problems that matter — identifying the terminal state, the gap, and the minimum necessary amendment. Nothing more.
Be first when Ward launches.
We're onboarding a small number of teams into early access. If you're building with AI and your users deserve better, this is for you.