Overview
Run:ai (acquired by Nvidia) develops AI workload orchestration and GPU cluster management software for AI training and inference. Enables efficient GPU resource allocation for autonomous driving, robotics, and large-scale AI model training. Based in Tel Aviv.
Verified record
- Verified deployments
- None on file
- Active incidents
- None on file
Valuation of record
DEPLOY VERIFIEDAcquisitionAcquired by NVIDIA
Key facts
HQ
Founded
Parent
Product
Data & sources
Web sources
1
1 source backing this record.View all →
Partnerships
Every company Run:ai has built with, alongside the ones only announced in a press release.
Most-frequent partners
- 1AWS1× joint976 total
Most recent
Relationships
Former / Previously (2)
- Omri Geller CEO & Co-founderreported, not verified
- Ronen Dar CTO & Co-founderreported, not verified
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.
Full safety record: incidents, sourcing, and exposure data →
Recent coverage
Run:ai in third-party press
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.
Partnerships
1 total · 1 operating
Every company Run:ai has built with, alongside the ones only announced in a press release.
Most recent
Most-frequent partners
- 1AWS1× joint976 total
Funding rounds (2)
- Strategic2022-07-19
- Series A2021-06-01
Acquisitions (1)
- acquired by NVIDIAfull acquisition2024-04-24
Timeline
Every recorded move in Run:ai’s history, most recent first: funding rounds, partnerships, acquisitions, supply-chain starts, key hires, and press.
Acquired byAcquired by NVIDIA
2024-04-24Acquired by NVIDIA (full_acquisition)
Recent activity
Every change to this record is dated, sourced, and independently verified where marked.
- Record createdJun 25, 2026
Added to the verified registry
Sources (1)
Common questions
What is Run:ai?
What does Run:ai make?
Is Run:ai publicly traded?
Who is the CEO of Run:ai?
How can I invest in Run:ai?
Where is Run:ai headquartered?
Who owns Run:ai?
Is Run:ai a top robotics company?
When was Run:ai founded?
Is Run:ai safe?
Methodology: Verified · 1 source (no primary) · last reviewed 2026-08-21
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-08-21
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.
Satlyt Announces $8M Seed to Run AI Models Across Satellites in Orbit
Satlyt, a startup headquartered in Sunnyvale, California, and Nairobi, has secured an $8 million seed round led by Houston-based Non Sibi Ventures to build software that lets AI…
DigitalOcean Launches Agent Droplets With AI Agent Plans Starting At $50 Per Month
DigitalOcean has launched Agent Droplets, a new subscription-based offering that packages the infrastructure and services needed to build and run AI agents into a single monthly…
Satlyt, founded by a former Google and SpaceX product manager, raises $8M to run AI on satellites
Satlyt wants to be the Android of orbital computing, offering open software that works on many companies' satellites, versus SpaceX's closed, all-in-one iPhone-style approach.
Startups Modal, Baseten in Funding Talks to Help Businesses Run AI
Two startups that provide platforms to help businesses run artificial intelligence models are in talks to raise capital that could at least double their valuations, a sign of…
What Happens When AI Runs on the Sensor
When the AI model runs on the sensor, anomaly detection happens without a cloud round-trip. At IMTS 2026, Tim Gicewicz of TDK SensEI explained how edgeRX collects vibration and…
Atlassian upgrades AI coding agents for always-on software development
Identifying the next phase of software development as always-on agentic artificial intelligence, Atlassian plc today announced a new set of upcoming Jira features to help…
Japan’s Preferred Networks seeks IPO to keep up in AI chip race
The Tokyo-based outfit is stepping up efforts to custom-design semiconductors tailored to run AI models.
Nvidia RTX Spark ‘Superchip’: The First AI PCs Are Here
At IFA 2026, Nvidia and its partners showed off the first RTX Spark-powered laptops and mini PCs, designed to run AI models right on your computer.
HUMAIN Horizon Ultra AI PC unveiled with Snapdragon X2 Elite and on-device AI
Qualcomm and HUMAIN unveiled Horizon Ultra at LEAP 2026, an AI PC built on the Snapdragon X2 Elite that can run AI tasks locally and switch to the cloud only when it needs extra…
Shokz new bone-conduction headphones and open earbuds are lighter on your head and wallet
If you're looking for affordable fitness-focused audio accessories, run, walk, run to get the OpenRun Air 2 or OpenFit Air 2. The post Shokz new bone-conduction headphones and…
California’s Extreme Heat, Soaring Utility Bills Make Cooling Unaffordable For Millions
Balcony and rooftop solar could cover home cooling costs, if policy makers prioritize access SACRAMENTO — California is experiencing more frequent and dangerous heat days, but…
NVIDIA Jetson Orin Nano 2 targets robots and drones with higher edge AI performance
NVIDIA has introduced the Jetson Orin Nano 2, a compact computing platform designed to run AI workloads locally in robots, delivery and inspection drones, and machine-vision…
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
Heat Index
Serious52/100
A composite of competitive footprint, funding, press velocity, active partnerships, and supply-chain edges. Different from the Intelligence score below (which is per-form-factor productization). Non-robotics companies cap at 25.
Reality vs attention
Not enough verified signal yet to place Run:ai against peers. Reality and attention percentiles publish once the underlying record clears its data floor.
6-month trend
Analysis
Funding runway warrants monitoring: last known round 51 months ago.
Signal flags
Dimension breakdown
Verified signal
Attention (reach, not merit)
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.
DEPLOY Indices — verified vs claimed
Last computed: Oct 2, 2026