Company
Run:ai
Run:AI, AI workload management and GPU orchestration company acquired by NVIDIA.
- Founded
- 2018
- HQ
- Tel Aviv, Israel
- Status
- acquired (by NVIDIA, 2024)
Verified profile
1
Sources on record
1
Tracked changes
Updated 6 days ago
Last verified change
Deploy Watch
Track Run:ai on Deploy.
We notify you when a verified state change lands on the record, not when the company issues a claim.
Data & sources
- Web sources1
1 source backing this record.View all →
Safety record
No incidents on record for Run:ai.
Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.
Recent coverage
Run:ai in third-party press
I visited Intel's robot-run AI chip factory, where the biggest danger is human skin and hair - AOL.com
Intel told me not to wear deodorant to visit its AI chip factory. Then I saw why. - Business Insider
LG Electronics Quadruples As Nvidia AI Meeting Fuels Robotics Rally - TradingView
Financial state
- Reporting basis
- aggregator_estimate
- Lifecycle stage
- acquired
- Counterparty risk class
- moderate
Each numeric field carries its own basis marker. Aggregators report a number; this surface preserves the source class so verification depth travels with the value.
Acquisitions (1)
- acquired by NVIDIAfull acquisition2024-04-24
Sources (1)
Common questions
- What is Run:ai?
- Run:AI, AI workload management and GPU orchestration company acquired by NVIDIA.
- Where is Run:ai based?
- Run:ai is based in Tel Aviv, Israel.
- When was Run:ai founded?
- Run:ai was founded in 2018.
- What does Run:ai make?
- Run:ai has no robot models recorded on the DEPLOY registry. Run:ai builds robot foundation models or autonomy software.
- Is Run:ai safe?
- Run:ai has no incidents on record in the DEPLOY registry. This does not constitute a safety guarantee; it reflects the incidents DEPLOY has tracked and verified to date.
Methodology: Verified · 1 source (no primary) · last reviewed 2026-07-02
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-07-02
Sources by quality tier
- 1
- unclassified
- Unclassified source
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for Run:ai.In the press
Recent coverage mentioning Run:ai from third-party publications. Automatically surfaced; not part of the verified registry record.
I visited Intel's robot-run AI chip factory, where the biggest danger is human skin and hair - AOL.com
<a…
Intel told me not to wear deodorant to visit its AI chip factory. Then I saw why. - Business Insider
<a…
LG Electronics Quadruples As Nvidia AI Meeting Fuels Robotics Rally - TradingView
<a…
Nvidia Enters the PC Market with RTX Spark to Run AI Agents Locally - MIT Sloan Management Review Middle East
<a…
Nvidia Unveils AI PC Chip as Industry Bets on Autonomous AI Agents - Electronics For You BUSINESS
<a…
Intel stakes new claim in physical AI with robotics chips - Computerworld
<a…
Automation Anywhere: EnterpriseClaw Launches To Run AI Agents Across Enterprise Systems With Cisco, NVIDIA, Okta, And OpenAI - Pulse 2.0
<a…
Running AI Coding Agents for 13 Days Straight: A Practical Guide - SitePoint
<a…
Bluehost Introduces GatorClaw: The Simplest Way to Build and Run AI Agents for Small Business - PR Newswire
<a…
A hardware-software co-design to efficiently run AI on edge devices - University of Michigan
<a…
Announcing Oracle Autonomous AI Vector Database Limited Availability - Oracle Blogs
<a…
NVIDIA Ignites the Next Industrial Revolution in Knowledge Work With Open Agent Development Platform - NVIDIA Newsroom
<a href="https://news.google.com/rss/articles/CBMiVkFVX3lxTE9QU1ZDOTZ5U2o4WjctUWZrNThCd1dfeXBONHhJWTFNcVhNVkw4UFR4RlZsbkxWaV9nVE9zT2xkdEVPOXVzUUltcWZCeXVzQTNBS09vUlFR?oc=5"…
Machine-readable surfaces
- Markdown mirror: /companies/run-ai.md
- RSS feed: /companies/run-ai/feed.xml
- JSON-LD: embedded in this page’s head
- REST API: /v1/companies/10756208-aa33-4e79-8a7c-17c84662ce72
- Revision history: /companies/run-ai/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
DEPLOY Intelligence Score
15.6/ 100
6-month trend
Analysis
Limited public funding data for capital position assessment.
Signal flags
Dimension breakdown
Safety Record
Market Presence
Funding Health
IP Activity
Deployment Scale
Hiring Signal
DEPLOY Intelligence scores are computed from verified registry data: confirmed deployments, disclosed funding rounds, regulatory filings, active job listings, video viewership, and press coverage. Confidence ratings reflect data availability. Scores update nightly.
Last computed: Jul 3, 2026
Intelligence layer