SELECTED WORK
Real outcomes over polished promises. Here is a flagship build, and the kind of work we take on.
Flagship build
Nemesis
Our open-source, fine-tuned offensive-security model, concrete proof of the AI engineering and security work we offer.
Nemesis, a fine-tuned offensive-security model
A 27B-parameter model fine-tuned from scratch for authorised red-team work, published open-source, with zero loss of general capability.
Challenge
Off-the-shelf models refuse legitimate security tasks, blocking real red-team, CTF and research work that is fully authorised.
Approach
A 4-bit QLoRA supervised fine-tune of Qwen3.6-27B on a refusal-filtered, 7,000-row security dataset, then merged and shipped as GGUF for Ollama and LM Studio.
What we take on
The kind of work we do
Client engagements are kept confidential, so here is the shape of the work rather than names on a logo wall.
Full-stack product builds
From greenfield MVPs to production SaaS, Next.js, TypeScript, containerised and deployed on hardened, self-managed infrastructure.
Security engagements
Penetration tests, infrastructure and source-code reviews against OWASP and NIST, with clear, prioritised remediation you can action.
AI systems
Fine-tuned and adapted models, RAG knowledge bases and agentic workflows wired into real products, not demos.
Self-hosted infrastructure
This very site and its backend run on our own Traefik + Docker stack, with monitoring, rate-limiting and intrusion prevention.