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Physical Intelligence

What Physical Intelligence does

Physical Intelligence (π) develops general-purpose vision-language-action (VLA) foundation models intended to control robots across many embodiments and physical tasks. The company’s stated goal is to build a single model that can “control any robot to do any task,” and it describes its approach as combining web-scale vision-language pretraining with robot data collection and post-training methods (including reinforcement learning and experience/correction loops) to improve real-world dexterity, reliability, and generalization. The company also positions this capability as a reusable “Physical Intelligence Layer,” analogous to how developers consume APIs for language/image models—so that robotics teams can integrate the models into their own systems rather than building a full physical stack from scratch.

News

Company record

Apr 16, 2026 · Official · Physical Intelligence (π) Blogπ_{0.7}: a Steerable Model with Emergent Capabilities

Physical Intelligence published π0.7, describing step-change generalization and compositional/steerable behavior for dexterous robot tasks, including follow-new-instructions and recombining skills.

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Mar 19, 2026 · Official · Physical Intelligence (π) ResearchPrecise Manipulation with Efficient Online RL

PI describes reinforcement-learning methods focused on improving precise/delicate manipulation with sample-efficient online RL, using “RL tokens” for fast refinement.

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Mar 03, 2026 · Official · Physical Intelligence (π) ResearchVLAs with Long and Short-Term Memory

PI published details on Multi-Scale Embodied Memory (MEM) to give VLA models both long-term and short-term memory for longer tasks.

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Feb 24, 2026 · Official · Physical Intelligence (π) BlogThe Physical Intelligence Layer

PI positions its general-purpose robotics foundation models as a reusable layer that partners can integrate into deployments, sharing partner experiences with Weave and Ultra.

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Feb 24, 2026 · Official · Physical Intelligence (π) BlogPhysical Intelligence Layer partner deployments on real robots (Weave and Ultra)

PI’s Physical Intelligence Layer post describes live deployments of partner robots using PI models, including quantitative improvements in autonomy and missed grasp sequences (Weave) and success rate/throughput (Ultra).

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Nov 17, 2025 · Official · Physical Intelligence (π) Blogπ*_{0.6}: a VLA that Learns from Experience

PI released π*0.6 and describes an experience-and-corrections training approach (“Recap”) for improving real-world robot success and throughput.

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Apr 22, 2025 · Official · Physical Intelligence (π) Blogπ_{0.5}: a VLA with Open-World Generalization

PI announced π0.5 as an extension of π0 intended to enable open-world generalization for robot control tasks.

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Feb 04, 2025 · Official · Physical Intelligence (π) BlogOpen Sourcing π_{0}

PI released weights and code for π0 and introduced π0-FAST as part of an open-source effort for fine-tuning on new robot tasks.

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Show 1 earlier updates
Source map · 4 recurring channels · 92 references
Physical IntelligenceOfficial Site · monitor↗Physical Intelligence newsroomNewsroom · monitor↗Physical Intelligence on XOfficial X · monitor↗MTS Frontier / Control RoomCurated Feed · monitor↗Official company sourceOfficial Reference · reference↗Physical Intelligence (π) BlogOfficial Reference · reference↗sec.govRegulatory · reference↗about.crunchbase.comReporting · reference↗airez.comReporting · reference↗aiwiki.aiReporting · reference↗alexanderjarvis.comReporting · reference↗angelresourceinstitute.orgReporting · reference↗apnews.comReporting · reference↗app.dealroom.coReporting · reference↗app.uselegion.comReporting · reference↗arabtimesonline.comReporting · reference↗arxiv.orgReporting · reference↗aventure.vcReporting · reference↗axevil.comReporting · reference↗axios.comReporting · reference↗blog.robo2u.comReporting · reference↗bloomberg.comReporting · reference↗capitalg.comReporting · reference↗cbinsights.comReporting · reference↗compworth.comReporting · reference↗crunchbase.comReporting · reference↗dealroom.coReporting · reference↗defillama.comReporting · reference↗dev.undress.workers.devReporting · reference↗doi.orgReporting · reference↗elements.visualcapitalist.comReporting · reference↗en.wikipedia.orgReporting · reference↗europeantech.newsReporting · reference↗fbcoverup.comReporting · reference↗files.pitchbook.comReporting · reference↗forgeglobal.comReporting · reference↗foster-institut.comReporting · reference↗fundbat.comReporting · reference↗gaebler.comReporting · reference↗hedgeco.netReporting · reference↗huggingface.coReporting · reference↗humanoid.observerReporting · reference↗humanoiderobots.dkReporting · reference↗inc.comReporting · reference↗institute.bankofamerica.comReporting · reference↗intro-act.comReporting · reference↗investing.comReporting · reference↗itdoeswhatnow.comReporting · reference↗lemonde.frReporting · reference↗linkedin.comReporting · reference↗marketscreener.comReporting · reference↗mdpi.comReporting · reference↗mhubchicago.comReporting · reference↗nasdaqprivatemarket.comReporting · reference↗note.comReporting · reference↗openpi.netReporting · reference↗openvla.github.ioReporting · reference↗oryndex.coReporting · reference↗outlook.stpi.niar.org.twReporting · reference↗physicalintelligence.framer.websiteReporting · reference↗pi.websiteReporting · reference↗platform-ai.iotaimpact.comReporting · reference↗postround.substack.comReporting · reference↗pr.aiReporting · reference↗prnewswire.comReporting · reference↗reddit.comReporting · reference↗registry.deploy.reportReporting · reference↗reportify-1252068037.cos.ap-beijing.myqcloud.comReporting · reference↗revenuememo.comReporting · reference↗roboticscenter.aiReporting · reference↗roboticsproceedings.orgReporting · reference↗rothschildandco.comReporting · reference↗ru.wikipedia.orgReporting · reference↗s3-us-west-2.amazonaws.comReporting · reference↗sacra.comReporting · reference↗seedtable.comReporting · reference↗siliconangle.comReporting · reference↗siliconvalleyinvestclub.comReporting · reference↗sotwe.comReporting · reference↗startup-index.comReporting · reference↗startup.genisisiq.comReporting · reference↗startupfundraising.comReporting · reference↗stifel.comReporting · reference↗techcrunch.comReporting · reference↗techmeme.comReporting · reference↗theinformation.comReporting · reference↗therobotreport.comReporting · reference↗tipranks.comReporting · reference↗twiscan.comReporting · reference↗v1.ventureintelligence.comReporting · reference↗vcnewsdaily.comReporting · reference↗venturecapital.comReporting · reference↗veritaglobal.netReporting · reference↗x.comReporting · reference↗x.comReporting · reference↗x.twstalker.comReporting · reference↗

Funding

Latest disclosed valuation$11B
Tracked capital$2.1B4 sourced rounds
DateRoundRaisedValuationLead / investorsEvidence
May 21, 2026Series C$1.1B$11B
Not attributed
Nov 20, 2025Series B$600M$5.6B

What it builds

π series generalist VLA models (e.g., π0, π0.5, π0.6, π0.7)

A set of general-purpose vision-language-action robot foundation models intended to perform a wide range of dexterous manipulation and long-horizon household and industrial tasks, with updates that emphasize steerability and compositional generalization (e.g., π0.7).

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OpenPI (open-source π0 fine-tuning weights/code)

An open-sourcing release intended to let external teams fine-tune π0 for their own robots and tasks using smaller amounts of data.

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π0-FAST (efficient robot action tokenization)

An efficiency-focused robotics model component described by the company as an autoregressive action model/tokenization approach to train generalist policies faster.

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The Physical Intelligence Layer (partner-facing integration approach)

A framing and collaboration model for integrating PI foundation models into partner robots and deployment pipelines, presented as an “off-the-shelf” physical intelligence layer analogous to how teams consume software foundation models.

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Key metrics

Milestones & partnerships