Products
Software we build in-house.
Alongside client work, MBD builds its own products. Each one has a section on this page and its own site.
Secure, policy-controlled environments where AI agents can do real work.
EnvAI is the agentic environment platform we are building. It gives autonomous AI agents the context, tools, permissions, memory and isolated runtime they need to complete real tasks inside an organisation.
You describe an objective, such as a bug, an incident or a repository task. EnvAI sets up an environment for it, specialist agents plan, build, test and review the work in isolation, and anything the policy engine flags waits for a person to approve.
Every tool call, decision and change is recorded, so the work can be inspected and replayed afterwards.
02 / What it does
What an agent needs to do real work.
- 01Context from repositories, docs, tickets and conversations that agents can safely reason over
- 02Governed integrations with GitHub, Kubernetes, AWS, Slack and RPC providers
- 03A machine identity for every agent, with short-lived credentials
- 04Policies that allow, deny, limit or require approval before anything runs
- 05Isolated runtimes on containers, Kubernetes or microVMs, with memory scoped to each environment
- 06Human sign-off for sensitive actions and an audit trail of every tool call and change
03 / How it works
From objective to verified execution.
- 01Describe the objectiveA plain-language brief: a goal, a bug, an incident or a repository task.
- 02Generate the environmentEnvAI sets up the context, tools, identity, policy and runtime for that task.
- 03Deploy specialist agentsPlanner, Developer, Tester, Security and Reviewer agents work on it together.
- 04Execute and reviewAgents run in isolation, and a Reviewer agent checks the work independently.
- 05Approve sensitive actionsPeople stay in the loop for anything the policy engine flags.
- 06Inspect the evidenceEvery decision, tool call and diff can be replayed and exported.
04 / Where it fits
Built for teams running agents on real work.
- EngineeringAI software engineering teamProduct, architecture, development, testing, security and review roles for every repository.
- DevOpsAutonomous DevOpsWatches pods, queues, RPC latency and cost anomalies, then investigates and prepares fixes.
- SecOpsSecurity operationsTemporary investigation environments for suspicious IPs, IAM activity, wallets and events.
- Fintech and blockchainFintech and blockchain operationsListener monitoring, wallet reconciliation, sweep queues, KYT reviews and fee optimisation.
05 / Early access
EnvAI is in development.
Early access requests and the latest details are on envai.io.