Industry / 09
Technology
Technology companies do not need convincing about AI — they need it to work at scale, at margin, and under their customers' compliance requirements. We supply the platform, reliability, and security engineering that product teams rarely have time to build themselves.
AI opportunity map
Where AI earns its place in this sector.
AI feature engineering
LLM features built evaluation-first, so quality is a number in CI rather than an opinion in review.
Inference economics
Latency and cost per request engineered down — routing, caching, quantisation, and capacity planning.
Agent and pipeline architecture
Multi-step AI systems with deterministic orchestration and typed contracts between components.
AI security review
Threat modelling and adversarial testing of AI surfaces before your customers' red teams find them.
Regulation & compliance
Compliance is part of the architecture.
When AI is in the product, your customers' obligations become yours — and they arrive as procurement questionnaires.
SOC 2 and ISO 27001 expectations extended to AI components, logs, and vendors
GDPR and EU AI Act duties as a provider when enterprise customers deploy your product in Europe
Model licensing and IP provenance for weights, training data, and generated output
Contractual incident-response and disclosure commitments covering AI failures
Relevant services
How we typically engage.
Contact
Talk to our engineers.
Describe your sector, your constraints, and the problem in front of you. We come prepared or we do not come.