Production AI practitioners, embedded.
Engineers who have shipped AI into defence networks, public-sector platforms, real estate, legal, life sciences and e-commerce — embedded into your team under your delivery model, with our governance behind them.
The bench you embed from is the bench that builds our own AI systems.
Built, not benched
Every engineer has shipped AI into production — into regulated defence networks, public-sector platforms, AI-native SaaS. No bench bodies, no warm CVs.
Production AI, not POC AI
MLOps discipline, evaluation harnesses, observability, fallback paths. The engineering rigour that turns a working notebook into a system the business depends on.
Compliance ready, day one
CMMI L5 process maturity, ISO 27001 information security, DPDPA-aligned data handling. Cleared placements available for on-premise and air-gapped deployments.
Embedded with intent
Practitioners drop into your stand-ups, your repos, your review cycles — under your delivery model. Time-zone overlap with US, UK, and EU engineering hours.
The same engineering bar as our owned products
These are the engineers behind HoloMap, Aedrix, Castle, Bhaasha and NOSTRA. The bench you embed from is the bench that builds our own AI systems.
Six disciplines across the full AI stack — shipped, not theorised.
Applied ML & MLOps
Forecasting, classification, ranking, anomaly detection — productionised with reproducible pipelines, drift monitoring, retrain triggers, and SLA-backed inference.
Agentic systems & LLM apps
Tool-using agents, structured workflows, function-calling orchestration. Built on open-source and frontier models, evaluated end-to-end, hardened against regression.
Data platforms & RAG
Ingestion, chunking strategies, hybrid retrieval, vector and lexical indexes. Knowledge platforms that retrieve from the right source and cite what they used.
Computer vision & multimodal
Detection, segmentation, OCR, document understanding, video analytics, vision-language models. Deployed to edge devices, on-premise GPUs, and cloud inference.
AI evaluation & governance
Evaluation harnesses, red-teaming, prompt regression suites, bias and safety scoring. Audit trails and review workflows that hold up to procurement scrutiny.
Air-gapped / on-prem AI
Models, vector stores, and inference stacks deployed inside customer networks. No telemetry, no scenario egress — engineered for defence, government, and regulated estates.
Engage how you ship — embedded, full-pod, on-site.
Embedded engineers
Senior AI engineers placed directly into your existing pod. They work under your tech lead, in your repos, against your standards — with our governance behind them.
- ·Senior individual contributors
- ·Your delivery model
- ·Time-zone overlap available
Full-team pod
A complete AI pod — tech lead, ML engineers, MLOps, evaluation — assembled around a deliverable. Shared accountability, single point of escalation, defined exit.
- ·Tech lead included
- ·MLOps + evals built in
- ·Milestone-shaped scope
On-prem placement
Practitioners cleared and deployed inside your secure estate — defence, public-sector, regulated enterprise. Air-gapped operation, no scenario egress, full audit trail.
- ·Cleared engineers
- ·On-site or hybrid
- ·Air-gapped operation
Practitioners with shipped context — not learning on yours.
Defence & SIGINT
Public Sector & Urban Governance
Real Estate & Construction
Legal
Life Sciences
E-commerce
Tourism & Travel
Where else our practitioners ship for clients.
Applied & Generative AI
Fraud, forecasting, document and email processing, RAG knowledge assistants, agentic operations — engineered into your workflows.
Digital Products & Platforms
Production-grade product engineering and platform builds for digital businesses — design, delivery, and operations under one team.
AI for Startups
AI-native SaaS and agentic systems for founding teams selling into regulated buyers — co-built, enterprise-ready.