# Drishti

**Canonical:** https://apis.io/providers/drishti/  
**Website:** https://www.drishti.com  
**APIs profiled:** 0

Drishti was an AI and computer-vision company that turned manual assembly-line activity into continuous streams of process data for discrete manufacturers. Cameras securely streamed factory-floor video into proprietary neural networks that generated cycle-time data and detected the sequence of human actions within each cycle, giving plant teams system-wide visibility into variability, bottlenecks, and improvement opportunities. Founded in 2017 in Mountain View, California and backed by Emergence Capital, Drishti counted Ford, Honeywell, and Nissan among its customers before being acquired by Apple in September 2023. The company operated no public developer API, and all of its web and developer domains are now offline.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.0).

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

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | 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, Artificial Intelligence, Manufacturing, Computer-Vision, Video Analytics, Assembly Line, Industrial, Acquired

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