# Apteligent

**Canonical:** https://apis.io/providers/apteligent/  
**APIs profiled:** 0

Apteligent (originally Crittercism, founded 2011 by Andrew Levy, Robert Kwok, and Jeeyun Kim, rebranded to Apteligent in 2016) was a mobile application performance management platform that provided real-time crash reporting, diagnostics, service monitoring, and user-engagement analytics across iOS, Android, hybrid, and HTML5 apps. Backed by GV (Google Ventures), Opus Capital, and Shasta Ventures (~$48.7M raised), the company was acquired by VMware on 2017-05-15 and folded into the Workspace ONE digital-workspace platform. Following VMware's 2024 end-user-computing spin-off, the technology now ships under the Omnissa Intelligence brand. The independent Apteligent developer surface has been retired: apteligent.com no longer resolves at the apex and www.apteligent.com 301-redirects to omnissa.com; there is no live standalone API, documentation, or developer portal to enrich.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-17 under rubric 0.11.0. Trend: flat (+0.0 from 5.0).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 0.0 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Tags

Company, Enterprise, Mobile, Application Performance Monitoring, Crash Reporting, Mobile Analytics, Acquired, Defunct

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/apteligent/). Scores are computed from the provider's own public artifacts under a published rubric.