Stalwart Technologies is a UK-based research and development company. We build Stalwart AI Assurance: products that prove what AI agents and models can and cannot do.
We bridge applied computer science, formal methods and high-assurance AI. Our engineering team builds the verification engine behind every Stalwart product, so the answers our customers rely on are proofs, not estimates.
We focus on “verification at scale”. By replacing sampling with exhaustive checking, we let enterprise teams certify the boundaries of their AI agents and models, and show the evidence to their auditors.
We read the guardrail policies, tool definitions and models our customers already use, in the formats they already write. When a bypass is impossible we deliver a certificate an independent auditor can re-check. When one exists, we deliver the exact case and a checked fix.
Our research turns rule checking into algebra, so every possible case is covered at once: fast enough to run on every release, with no AI model in the loop.
Our technology is rooted in mathematical research in finite-field algebra and automated reasoning, applied to the question every AI risk owner asks: can this system ever do what it must not?
# Foundational Working Paper
Finding and Repairing Bugs in AI Agent Guardrails with Memory Bounded Algebraic Elimination over the Binary Field
To make agentic AI cheap, relevant to the user, and safe.