Madiro Implementer AI

From requirement to deployed system, guided by AI.

It reuses the implementation knowledge you already have, captures what every project teaches, and helps your team implement faster and more consistently — from configuration to a grounded, review-ready change. Working from the Jira and GitHub Issues you already track, it puts years of collective implementation experience inside your favorite AI client — using the LLM and API key you already have.

Madiro Implementer AI architecture: users reach the platform through a web UI or an MCP for desktop and IDE; work flows from Tasks, into Knowledge, into Actions, with a continuous learning and optimization loop.

The platform end to end, from access through the continuous learning loop.

Already in use at

Why it matters

Keep your knowledge. Keep your independence.

In 2025, international setbacks cost many programs their implementing partners, their experts, and years of hard won knowledge. The platform turns that experience into a living memory, personal, organizational, and governmental, so it is never lost again.

Your requirements and your code stay in your own systems, which keeps you sovereign over your stack. A person always gives the final sign off before anything deploys.

Bring your own LLM and API key. Your model choice and your data stay yours — Madiro never sits between you and your AI provider, and you never pay us for inference.

You own the knowledge you create. Keep it private to your team — or choose to make it public. Grounded in open source and open standards, the knowledge and configurations you build can be shared back with the community for the public good, so every implementer benefits and the whole ecosystem adopts and scales faster.

~5x
less effort to prepare and maintain an implementation, measured with manual vs. AI evaluations

What it does

Reuse what you know, capture what you learn, and get it done.

More than a knowledge base, and more than an assistant. It puts your implementation knowledge to work, grows it with every project, and turns your tracked tasks into grounded, review-ready changes.

Reuse what you know

It brings your existing organizational, medical, and system knowledge, working from the tasks you already track in Jira and GitHub Issues. No implementation starts from a blank page.

Capture what you learn

Every project adds to a living memory. New decisions, configurations, and lessons are recorded and ready to reuse, so your team and new joiners build on each other instead of starting over.

From task to review-ready change

Working from a tracked task, it grounds the work in your knowledge and turns it into a real pull request on your own repository, then evaluates the outcome. An optional LLM review runs on your own model and key, and a person always gives the final sign-off before anything merges or ships.

Two ways in

Work the way you already work.

Madiro Implementer AI — Web UI

A guided workspace in the browser for planning, reviewing, and tracking implementation work from one place.

Madiro Implementer AI — MCP

For Desktop App and IDE. Bring the platform into the tools your engineers already live in, no context switching — using your own AI client, LLM, and key.

Connected to your stack

It plugs into the tools you already run.

It works with the systems you already run, and the forms, mappings, and configurations it produces can go back to the community. Onboard a new system or a new medical program whenever your work expands.

OpenMRS

Open medical record system

Open Concept Lab

Shared clinical concepts

OpenFn

Data integration workflows

Superset

Analytics and dashboards

Continuous learning

It gets sharper with every deployment.

The loop does not stop at deploy. The platform memorizes and evaluates each outcome and feeds it back into task memory, so results get sharper over time and the AI cost of each run keeps falling — on your own key.

Trust and control

Governance and observability, built in.

Everything the platform does is visible, auditable, and under your control.

User and knowledge governance
Full observability
Audit trails
Built-in evaluations

Plans

Built for who you are.

Whether you contribute to open source, deliver implementations as a service, run your own systems, or operate at national scale, there is a fit. Full pricing lands in September, and early access shapes it. Every plan runs on your own LLM and key — you never pay us for inference.

Contributor Free

Individuals and open-source communities.

  • Web UI and MCP access
  • Open community knowledge
  • Public contributor page
  • No LLM as a judge review
Get early access →

Contractor

Service providers delivering for clients.

  • Private knowledge and multi-client workspaces
  • Reusable configurations across clients
  • Observability and evaluations
Get early access →

Organization

Organizations running systems.

  • Organizational memory and governance
  • LLM as a judge review
  • Deploy, with audit trails
  • Onboard new systems and programs
  • Priority support
Get early access →

Public Institution

Ministries and national programs.

  • Governmental memory
  • Sovereign deployment on your infrastructure
  • Full governance, audit, and SLAs
Get early access →
Limited early access

Onboard before pricing lands in September.

We are onboarding a limited first cohort of open-source communities, service providers, organizations, and institutions. Get in before pricing lands in September, and help shape the platform while you are early.

If the form does not load, reach us through labs.madiro.org.