Figure7app downloads21X1Agility Robotics1Apptronik1BMW1BMW Spartanburg1Boston Dynamics1claimed humanoid $/hour (low)1commitment to data and compute for the next 12 months1downloads1Hyundai1Hyundai Atlas annual target1Index contributor payments1LimX Dynamics1total paid out1total payment1TRON 21videos uploaded1weekly active contributors1ZiNovaLabs1
LimX Dynamics on X: "Together with ZINOVA's Tool Intelligence, TRON 2 takes on increasingly complex construction workflows.
@ZiNovaLabs builds on TRON 2 to explore an innovative robotic configuration for construction, demonstrating key tasks in a scaled-down tilt-up construction workflow, includi… / X
Post Log in Sign up Post LimX Dynamics on X: "Together with ZINOVA's Tool Intelligence, TRON 2 takes on increasingly complex construction workflows. @ZiNovaLabs builds on TRON 2 to explore an innovative robotic configuration for construction, demonstrating key tasks in a scaled-down tilt-up construction workflow, including formwork assembly, multi-layer rebar placement and tying. TRON 2 serves as a modular and extensible embodied robotic platform for multi-tool, multi-step tasks across large workspaces. Its dual arms handle construction tools and materials across different orientations and…
8:00 PM ET
Figure
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Figure Index + BMW hours: 1,250 factory hours; Index 16M videos / $15M paid
Luke Lango / InvestorPlace (dated Aug 2026; Firecrawl news dated it ~1 day before Aug 31): Cites JPMorgan: humanoid operating cost ~$10-$12/hour vs ~$30 human factory labor; currently ~2 humanoids to match one human; capable humanoid ~$120,000. BMW Spartanburg: over a 10-month deployment Figure 02 supported production of more than 30,000 BMW X3 vehicles, moved over 90,000 components, logged roughly 1,250 hours of real factory work. BMW has brought Figure 03 into the same plant for kitting unsorted components. Figure Index: contributors in >100 countries uploaded over 16 million videos; Figure paid contributors $15 million and says it plans to spend more than $1 billion on data and computing over the next year (company-reported). Hyundai: as many as 30,000 Boston Dynamics Atlas robots annually by 2028. Names Apptronik, Agility, 1X as competing private startups.
10:59 AM ET
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Brett Adcock on X: "We're now over 43,000 weekly active users collecting data to train Helix, our AI model for F.03 robots
This data collection project, Index, is our answer to the data problem: the largest useful robot training dataset in the world
Extrapolate out, and this is the pretraining ne… / X
Post Log in Sign up Post Brett Adcock on X: "We're now over 43,000 weekly active users collecting data to train Helix, our AI model for F.03 robots This data collection project, Index, is our answer to the data problem: the largest useful robot training dataset in the world Extrapolate out, and this is the pretraining needed for large scale robot generalization The effort started by purchasing data from vendors but this data was scarce and really poor quality - there was simply no way to make this work correctly at scale. So we did it ourselves. It was quite a massive effort that has now…
7:06 PM ET
Figure
7:06 PM ETFigure
@TheHumanoidHub on X
Figure takes vertical integration to another level. Figure built its own egocentric data collection pipeline. Index is a crowdsourcing platform where anyone can collect data. - 264K app downloads across 108 countries - 44K weekly active contributors - 16M videos uploaded, 30 minutes of video ingested every second - $15M already paid out to contributors Figure says data vendors couldn't hit the throughput, diversity, or quality bar, so they built the pipeline themselves. Next 12 months: $1B committed to data and compute.
8:00 PM ET
Figure
8:00 PM ETFigure
Introducing Index: Building The World’s Largest and Most Diverse Physical Dataset
Introducing Index: Building The World’s Largest and Most Diverse Physical Dataset August 25, 2026 Today we're coming out of stealth with the most diverse robot training dataset ever built. The data needed to scale a truly general purpose robot doesn't exist on the internet - it has to come from the real world: a global sampling of physics captured across every environment on earth. For the last 4 months, we’ve been building a Figure-exclusive pipeline to scale data collection at higher throughputs, with broad diversity and strict quality standards. - While in stealth, we've crossed 264,000…
What is true on Index?
On this layer
Figure7app downloads21X1Agility Robotics1Apptronik1BMW1BMW Spartanburg1Boston Dynamics1claimed humanoid $/hour (low)1commitment to data and compute for the next 12 months1downloads1Hyundai1Hyundai Atlas annual target1Index contributor payments1LimX Dynamics1total paid out1total payment1TRON 21videos uploaded1weekly active contributors1ZiNovaLabs1
LimX Dynamics on X: "Together with ZINOVA's Tool Intelligence, TRON 2 takes on increasingly complex construction workflows.
@ZiNovaLabs builds on TRON 2 to explore an innovative robotic configuration for construction, demonstrating key tasks in a scaled-down tilt-up construction workflow, includi… / X
Post Log in Sign up Post LimX Dynamics on X: "Together with ZINOVA's Tool Intelligence, TRON 2 takes on increasingly complex construction workflows. @ZiNovaLabs builds on TRON 2 to explore an innovative robotic configuration for construction, demonstrating key tasks in a scaled-down tilt-up construction workflow, including formwork assembly, multi-layer rebar placement and tying. TRON 2 serves as a modular and extensible embodied robotic platform for multi-tool, multi-step tasks across large workspaces. Its dual arms handle construction tools and materials across different orientations and…
8:00 PM ET
Figure
8:00 PM ETFigure
Figure Index + BMW hours: 1,250 factory hours; Index 16M videos / $15M paid
Luke Lango / InvestorPlace (dated Aug 2026; Firecrawl news dated it ~1 day before Aug 31): Cites JPMorgan: humanoid operating cost ~$10-$12/hour vs ~$30 human factory labor; currently ~2 humanoids to match one human; capable humanoid ~$120,000. BMW Spartanburg: over a 10-month deployment Figure 02 supported production of more than 30,000 BMW X3 vehicles, moved over 90,000 components, logged roughly 1,250 hours of real factory work. BMW has brought Figure 03 into the same plant for kitting unsorted components. Figure Index: contributors in >100 countries uploaded over 16 million videos; Figure paid contributors $15 million and says it plans to spend more than $1 billion on data and computing over the next year (company-reported). Hyundai: as many as 30,000 Boston Dynamics Atlas robots annually by 2028. Names Apptronik, Agility, 1X as competing private startups.
10:59 AM ET
Figure
10:59 AM ETFigure
Brett Adcock on X: "We're now over 43,000 weekly active users collecting data to train Helix, our AI model for F.03 robots
This data collection project, Index, is our answer to the data problem: the largest useful robot training dataset in the world
Extrapolate out, and this is the pretraining ne… / X
Post Log in Sign up Post Brett Adcock on X: "We're now over 43,000 weekly active users collecting data to train Helix, our AI model for F.03 robots This data collection project, Index, is our answer to the data problem: the largest useful robot training dataset in the world Extrapolate out, and this is the pretraining needed for large scale robot generalization The effort started by purchasing data from vendors but this data was scarce and really poor quality - there was simply no way to make this work correctly at scale. So we did it ourselves. It was quite a massive effort that has now…
7:06 PM ET
Figure
7:06 PM ETFigure
@TheHumanoidHub on X
Figure takes vertical integration to another level. Figure built its own egocentric data collection pipeline. Index is a crowdsourcing platform where anyone can collect data. - 264K app downloads across 108 countries - 44K weekly active contributors - 16M videos uploaded, 30 minutes of video ingested every second - $15M already paid out to contributors Figure says data vendors couldn't hit the throughput, diversity, or quality bar, so they built the pipeline themselves. Next 12 months: $1B committed to data and compute.
8:00 PM ET
Figure
8:00 PM ETFigure
Introducing Index: Building The World’s Largest and Most Diverse Physical Dataset
Introducing Index: Building The World’s Largest and Most Diverse Physical Dataset August 25, 2026 Today we're coming out of stealth with the most diverse robot training dataset ever built. The data needed to scale a truly general purpose robot doesn't exist on the internet - it has to come from the real world: a global sampling of physics captured across every environment on earth. For the last 4 months, we’ve been building a Figure-exclusive pipeline to scale data collection at higher throughputs, with broad diversity and strict quality standards. - While in stealth, we've crossed 264,000…