The models are here.
The guardrails aren't.

General Intellect builds the infrastructure for AI systems that can be understood, governed, and trusted — from today's enterprise deployments to tomorrow's autonomous agents.

The problem

Nobody quite knows why AI does what it does.

Neural networks remain black boxes — inscrutable even to the researchers who build them. Interpretability science is advancing fast, but the industry responsible for keeping AI in check hasn't kept pace.

Legacy BPO firms run the human workforce that vets AI responses at scale. They've missed something fundamental: every flagged response is training data. They're sitting on a goldmine and don't know it.

The opportunity

Safety isn't a compliance checkbox. It's the next competitive moat.

$40–50B Trust & safety outsourcing market by 2030, growing 12–15% annually
30–50% Rise in enterprise T&S budgets over the past three years
$100–150B Full-stack AI safety opportunity — chips to models to deployed systems

In the next cycle of frontier-model competition, safety, interpretability, and controllability will be decisive advantages for enterprise adoption. Governance leaders will gain the organisational authority that CISOs gained after the shift to cloud.

What we're building

Software needs distribution. Services need differentiation. Research needs a path to market.

We're building all three — because each one makes the others work.

SaaS

Inpret

Policy enforcement, moderation tooling, and AI guardrails — a governance platform that gives enterprises real control over the AI they've deployed.

Services

Signal Corps

A roll-up of trust and safety BPO firms, unified under proprietary software. The human workforce that reviews AI today becomes the feedback loop that trains safer AI tomorrow.

Research

Reiman

A mechanistic interpretability lab with one goal: deployable model and agent rails. Building on foundational work from DeepMind and Anthropic, toward human-controlled AI before 2028.