Run AI in your own AWS.
Agents, guardrails, and MLOps pipelines we build inside your tenancy, not ours. Operated as an always-on managed service, or delivered as a scoped engagement with full handover.
Explore our AI offerings
Every path runs inside your AWS accounts, under the same compliance standard.
AI Factory
Always-on managed backbone in your AWS accounts. Guardrails, agents, and MLOps pipelines run by our team. Fixed monthly fee. 24/7 included.
Explore the AI Factory →Three managed services
- Agentic Ops Persona-driven agents with prompt libraries and audit trails.
- Guardrails 60+ controls across data, accountability, and oversight, with a core ten enforced everywhere.
- MLOps Reproducible pipelines, retraining, drift monitoring, accuracy dashboards.
Data Integration
Scoped engagement to stand up secure data pipelines for AI. Privacy-first ingestion, data masking, and governance. Your team takes it forward.
Discover →Data Readiness
Discovery engagement that assesses whether your data can drive reliable AI outcomes. Quality assurance, pipeline review, and a prioritised roadmap.
Discover →Generative AI
Scoped build of a production GenAI feature, RAG, agents, or a custom model, inside your AWS account. Fixed scope, clear handover, your team owns it after.
Discover →Audited and certified
AWS DevOps Competency
ISO 27001 Certified
AWS SaaS Competency
Frequently asked questions
How do I choose between managed AI services and a consulting engagement?
AI Factory is an always-on managed backbone with fixed monthly fees. Consulting engagements are scoped pieces of work with a clear handover at the end.
Where does our data sit?
In your AWS accounts. You own the infrastructure, the models, and the data.
How do you handle ISO 27001 and CPS 234?
ISO 27001 certified. Evidence packs export from the AI Factory for audit, and consulting engagements include a compliance review.
What is your approach to AI safety and guardrails?
Guardrails run at the platform layer for managed customers and are baked into the build for consulting engagements. See the Guardrails page for the control list.
How quickly can we start?
Consulting within two weeks. AI Factory onboarding in four to six weeks for the first service.
Who owns the output?
You do. All code, models, prompts, and evidence stay in your AWS account and your Git.