An enterprise AI safety, governance and evaluation suite for organisations deploying LLMs and agents at scale. Our flagship, Nexus Red Team Sim, autonomously attacks a customer’s AI applications (prompt injection, jailbreaks, agent misuse), scores the results with a deterministic engine, and produces audit-ready evidence for risk and compliance teams.
A multi-agent system that autonomously attacks a customer’s AI application (prompt injection, jailbreaks, data exfiltration, agentic tool misuse) through a staged simulation methodology. It scores the results and produces remediation and compliance-ready evidence. It acts as the attacker, judge, critic and report-writer agents, and a deterministic scoring layer keeps results reproducible and auditable.
An AI pricing and cost-simulation advisor. It combines live, provenance-tracked vendor pricing with Monte Carlo (P50/P90/P99) cost modelling and unit-economics analysis, so AI product teams can price agentic features before launch. It handles intake, extraction and explanation, while a deterministic engine does all the arithmetic.
We are committed towards AI research that finds the most critical problems humanity faces, traces each one to its root cause, and builds algorithms that fix it. We publish annual research papers, open evals, open frameworks and prove our methods in applied systems, starting with the Nexus research suite.
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