AI Engineering & AI Security
AI is only an asset if it ships safely. We take AI from strategy to production — building GenAI and LLM applications, engineering the platforms that run them, and securing the whole system against a threat surface most teams have never had to defend.
What this means in practice
Generative AI moves fast, and most organisations are caught between pressure to ship and fear of getting it wrong — leaking data, hallucinating in front of a customer, or failing an audit. We close that gap: a pragmatic AI strategy grounded in your real use cases and data, then hands-on implementation that gets value into production without betting the business on it.
On the build side we develop GenAI and LLM applications end to end — retrieval-augmented generation (RAG) over your own knowledge, agentic and tool-using workflows, evaluation harnesses, and the MLOps/LLMOps platform engineering (pipelines, vector stores, model gateways, observability and cost controls) that turns a demo into a dependable service.
On the security side we defend the AI system itself: the new attack surface of prompt injection, jailbreaks, data and model exfiltration, insecure tool use and model supply-chain risk — tested against the OWASP Top 10 for LLM Applications and hardened with guardrails, input/output mediation and AI red-teaming. And because AI is now regulated, we build governance to match: model inventories, risk classification and alignment to the EU AI Act and ISO/IEC 42001.
What we deliver
Six concrete workstreams. Engage the whole capability or just the piece you need — every one ships documented and handed over.
AI strategy & advisory
Use-case discovery, feasibility and value-case, target architecture and a build-vs-buy roadmap grounded in your data, risk appetite and operating model.
GenAI & LLM application development
RAG over your knowledge, agentic and tool-using workflows, evaluation and guardrails — built to integrate with the APIs and event streams we already engineer for you.
MLOps / LLMOps platform engineering
Model gateways, vector stores, pipelines, prompt and version management, observability, evaluation and cost/latency controls for production AI.
AI security & red-teaming
Defence against prompt injection, jailbreaks, data/model exfiltration and insecure tool use; adversarial testing against the OWASP Top 10 for LLM Applications.
Securing AI with your existing controls
Identity, secrets, mTLS and gateway policy extended to model and agent traffic — AI treated as a first-class, governed part of the estate, not a side channel.
AI governance & compliance
Model inventories, risk classification, human-oversight design and alignment to the EU AI Act, NIST AI RMF and ISO/IEC 42001.
What you walk away with
AI in production
From slide-deck pilots to a dependable, observable AI service your business can rely on.
LLM-hardened
Tested against the OWASP Top 10 for LLM Applications and adversarially red-teamed.
-aligned
Governance and documentation ready for the regulation that now applies to you.
Get a free API & AI attack-surface review.
See your estate the way an attacker does. In a 45-minute working session with our principal engineers, we map your integration estate and threat surface and leave you with a prioritised, costed next step — whether or not you engage us.
- Your API, AI and event-stream surface mapped
- Top risks ranked against OWASP API & LLM Top 10
- A costed 90-day remediation & build plan