Colibri
ColibrITD (Colibri) is a French quantum-computing deep-tech company founded in 2019 in Paris by Dr. Laurent Guiraud and Hacene Goudjil, with a mission to make quantum computing accessible to any enterprise. It develops quantum software for scientific and industrial applications, including QUICK (a quantum multiphysics simulation platform), QUICK-PDE (a Qiskit function for solving partial differential equations), the H-DES hybrid differential-equation solver, and MPQP (Multi-Platform Quantum Programming) - an open-source Python library for building quantum circuits and executing them across IBM Qiskit, Eviden myQLM, Google Cirq, AWS Braket, and Microsoft Azure Quantum backends. ColibrITD serves the semiconductors, finance, defense, aerospace, automotive, and energy industries. Its primary developer surface is the MPQP Python SDK (PyPI + GitHub) and its documentation, rather than a hosted REST API.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles Colibri the way a machine reads it — 1 machine-readable artifact, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Colibri scores 16.0/100 (emerging), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Colibri
Each block below is one kind of artifact we hold for Colibri. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for Colibri — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 1
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 1
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Company 2
The organization behind the API
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