Stalwart Technologies is a UK-based research and development company. We build Stalwart AI Assurance, to make agentic AI low cost, relevant to the user, and safe.
We bridge applied computer science, formal methods and AI that acts. Our engineering team builds the engine behind every Stalwart product, so an agent picks its tools by rule, writes only when it is allowed to, and costs a model call only where one is needed.
We focus on agents that do things, not just talk. We measure what our customers measure: the right tool chosen on their own catalogue and traffic, no wrong writes, and what it costs next to sending every decision to a model.
We start from the tools, guardrail policies and models our customers already have, in the formats they already write. The agent learns their users' words from their feedback. When a guardrail has a bug, we hand over the conversation that triggers it and the 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 low cost, relevant to the user, and safe.