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Element AI website screenshot

Element AI

Element AI was a Montreal, Quebec-based artificial intelligence company founded in 2016 by Jean-Francois Gagne, Yoshua Bengio, Nicolas Chapados, Philippe Beaudoin, Anne Martel, and Jean-Sebastien Cournoyer. It operated as an AI systems integrator and professional-services firm with the mission of putting advanced AI capabilities - natural language processing, computer vision, document intelligence, and conversational AI - in reach of traditional enterprises. After raising roughly US$102M plus Canadian government funding and reaching an estimated US$600-700M valuation in 2019, the company ran short of runway and was acquired by ServiceNow (announced November 30, 2020; closed January 8, 2021 for approximately US$230M). Its research group became ServiceNow Research and its former domain now redirects there. The company no longer operates independently and publishes no standalone public API, developer portal, or SDKs.

human only

Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.

Kin Score

Element AI is tracked in the API Evangelist network. This page is the human-readable profile that sits on top of the machine-readable index we maintain at apis.io.

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 — Element AI scores 6.8/100 (minimal), 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 Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 6.8/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.0 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

Resources

Every other property we hold for Element AI — 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.

Company 1

The organization behind the API

Element AI is in the network as a tracked entity. We haven't yet indexed a public API surface for it — when one is published, the artifacts, score, and agent-readiness read will appear here automatically. The source repository is where that profile is built.

← All providers · Data indexed from github.com/api-evangelist/element-ai · machine-readable index on apis.io