Align
Business sponsors, IT, security and data owners agree goals.
AI that works across departments, not just in a pilot. We deliver secure, governed AI solutions for larger organizations in the UK, the US and worldwide.
Enterprise AI solutions are AI systems designed for the scale, security and governance needs of large organizations: shared AI platforms, knowledge assistants, document and process automation, and predictive analytics used across departments. ML Data House builds them with identity and access control, audit trails, monitoring and clear ownership.
Secure search and Q&A over policies, documents and wikis, with sources.
Contracts, claims, invoices and forms processed at volume.
Forecasting and risk models feeding enterprise dashboards.
AI agents that handle multi-step back-office work with approvals.
Shared model access, prompt management, evaluation and cost tracking.
Controls mapped to your security policies and regulators.
Short, visible steps with a demo or decision at the end of each one.
Business sponsors, IT, security and data owners agree goals.
Design the platform, integrations and controls.
Build the first use cases on the shared platform.
Onboard more teams with templates and governance.
One remote team, planned around the rules and working patterns of each market.
We work from our UK office in Wolverhampton with clients across England, Scotland, Wales and Northern Ireland, remotely. Projects are planned around UK GDPR and the Data Protection Act 2018, ICO guidance on AI and data protection, and, if you sell into Europe, the EU AI Act.
For UK enterprises we work with your DPO and security teams and, in regulated sectors, consider FCA, PRA or NHS data-security requirements.
We work remotely with US companies from coast to coast, and UK working hours overlap with the US East Coast morning for live calls and demos. We plan around the NIST AI Risk Management Framework, state privacy laws such as the CCPA/CPRA, and sector rules like HIPAA where they apply.
For US enterprises we support vendor security reviews and map controls to the NIST AI RMF and frameworks your auditors use.
Security and access control, auditability, reliability, integration with enterprise systems, scalability, cost control and clear ownership and support.
By giving each use case a business owner, using a shared platform, building monitoring and governance in, and planning support before launch.
Yes. We deploy in your Azure, AWS or Google Cloud tenancy, using private networking and your identity provider.
With usage limits, model choice per task, caching and cost dashboards per team or use case.
Yes, as well as mid-sized companies. Our 3-month enterprise AI framework is designed for organizations that need governance and production readiness.
Through clear policies, risk reviews, model documentation and monitoring. See responsible AI and governance.
Healthcare, finance and banking, retail and e-commerce, manufacturing and supply chain, and education and research.
Tell us about your goals, data and systems. We will reply with practical next steps, wherever you are in the UK, the US or worldwide.