Building trust in AI.

We build developer tools that make sure your AI-generated applications give trustworthy answers.

Your AI coding agent writes the app. We make sure it can prove what it tells you.

Engine-agnostic. Works with any AI coding agent.

the builder's dilemma

AI writes the code. It won't stand behind the answers.

Builders in regulated and high-stakes workflows are finding AI coding agents don't make an application trustworthy on their own.

Security

"If this is wrong, what stops it before it ships?"

Compliance

“Show me the exact passage, not just the document.”

Customer

“How do I know it's right, and not just convincing?”

Auditor

“Pull the full trail. Six months from now, not today.”

Reviewer

“What exactly was I approving?”

option 1

Call a library at runtime.

Black Box. Lives beside the app, not inside it.

Brittle. Agents misuse APIs and make dead calls.

Stack-bound. Locks the app to one runtime.

option 2

Guide the generation itself.

Portable. Works across any AI coding agent.

Stack-independent. The agent generates for the stack.

Integrated. Lives inside the app, installs as a pack.

Generating the code takes minutes. Making it trustworthy takes the rest of this page.

The builder's Reality

Developers write code faster now. Nobody's proven it's safe to ship.

Productivity

Trust

What Works today

85% of professional developers now use AI coding tools. The productivity story is real.

What does not work

Roughly 1 in 20 AI requests fail silently in production. 17–33% hallucination rates even in purpose-built legal AI with retrieval.

What comes next

EU AI Act, NIST AI RMF, and sector rules converge on the same needs: provenance, verification, disambiguation, explainability, oversight, audit.

Trust breaks down into eight separate capabilities, and an agent doesn't ship with any of them built in.

Provenance

Where it came from.

Verification

Proof it's correct.

Clarity

The meaning that was intended.

Explainability

A plain reason.

Quality gating

Bad output blocked early.

Oversight

A human in control.

Accountable personalization

Tailored with an audit trail.

Governed data

Only data you may use.

Closing the gap means changing how an application is written, not patching it after the fact.

What we build

One trust stack. Three scales.

Trust at the application, the organization, and between organizations. The same stack, deployed wider.

Shipping

The application

Trust Core

  • Generates trust capabilities into an app as code is written
  • Engine-agnostic: Claude Code, Cursor, OpenAI Codex
  • Four capabilities, shipped as one bundle

Now

Builders and developers

In development

The organization

Trust Hub

  • Controls the Trust Core across every app the org runs
  • Central store for definitions and clarity
  • One org-wide audit trail, unified and exportable

Next

CIO, CISO, compliance, risk

On the roadmap

Between organizations

Trust Network

  • Agent-to-agent trust across organizational boundaries
  • Verified provenance follows the work past the company line
  • Built on MCP, A2A, decentralized identifiers

Soon

Multi-org agent workflows

Early Proof

Measured impact. Real customer.

Pulse Law · Canadian corporate firm

A one-day engagement built a working due-diligence prototype on the firm's real workflow. Now moving from prototype to pilot.

“What surprised me was how quickly we had real answers. We found out just as fast what wasn’t worth pursuing.”

Todd Bissett · Pulse Law

Backed by 185+ patents (155+ granted) across 9 jurisdictions.

Building AI that has to hold up?

We'll tell you honestly where we can help and where we can't on a 30 minute call.

Book a call →

Developer tools that make sure your AI-generated applications give trustworthy answers.

© 2026 Primal · 210–137 Glasgow Street, Office 163, Kitchener, Ontario N2G 4X8, Canada

Contact