AI · Engineering · Intelligence · Trust

Engineering the next layer of computation

We engineer the foundations new technology and AI depend on: true randomness, agent integration, journey orchestration, private AI engines and legacy code modernisation.

Solutions

Productised solutions, deployed in your cloud of choice, on your own infrastructure or as a managed service.

Entropy

True random numbers from natural physical processes, operated by aevris as a managed service and statistically tested before delivery.

  • Physical, not algorithmic, randomness
  • Every batch tested against the NIST suite
  • Powered by renewable energy, with clear provenance
  • Delivered by download, API or River

River

An MCP and A2A server that connects AI agents to your systems and lets them carry out multi-step tasks under your control.

  • Standards-based MCP and A2A
  • Tools built for your systems
  • Multi-step tasks, with human approval where needed
  • Governed, controlled and auditable execution

Flow

Journey mapping and orchestration: processes mapped clearly, then run with people, systems and AI working together.

  • Visual journey mapping
  • MCP-native action and AI-assisted decisions
  • Human review and intervention where it matters
  • Every journey step visible, end to end

Services

Hands-on engineering, delivered with you: bespoke systems and deep work on the estate you already run.

AI Engines

Private AI engines shaped around your domain and data, run in your environment or managed by us.

  • Hosted where you decide, including air-gapped
  • Right-sized models, not frontier overkill
  • Released only once accepted benchmarks met
  • Yours to own, or fully managed by us

Code Insights

Analysis and documentation of legacy, inherited and undocumented codebases, so you understand exactly what you own.

  • Free initial analysis (up to 500 lines)
  • Architecture, business rules and dependencies
  • Risk, security and personal data insight
  • Can run inside your own environment

Code Revive

Safe, staged migration of legacy systems onto modern, maintainable foundations, with behaviour preserved and risk contained.

  • Staged, low-risk migration path
  • AI-assisted, engineer-approved
  • Behaviour proven in parallel run
  • Start with a pilot, costs offset

Let’s talk

Whether it is true randomness, agent integration, journey orchestration, private AI or legacy modernisation, you will work directly with the people who build it. Tell us what is holding you back and where you want to go.