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Bifrost AI provides a subscription platform that generates synthetic, 3D data to train and validate AI systems. It builds large, physically accurate datasets from simulated worlds so developers can craft specific scenarios and environments in hours, even without deep 3D expertise. The platform offers real-time, controllable 3D worlds and pixel-perfect labeled data, helping reduce data collection and labeling costs. Its goal is to accelerate AI development with scalable, task-specific synthetic data, working with partners like NASA JPL for off-world and complex domain applications.
Industries
Data & Analytics
Robotics & Automation
Enterprise Software
AI & Machine Learning
Company Size
11-50
Company Stage
Series A
Total Funding
$8.1M
Headquarters
San Francisco, California
Founded
2019
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Total Funding
$8.1M
Below
Industry Average
Funded Over
2 Rounds
Industry standards
Flexible Work Hours
Company Equity
Notebooks, now decoupled from live instances. Edit notebooks and dispatch render jobs without a GPU instance, pre-warm instances for when you need them, and share packaged datasets across your organization. Until now, opening a notebook meant spinning up a live instance - even if all you wanted was to tweak a parameter or kick off a render. That's GPU time spent waiting on you, not working for you. Bifrost has just released a new flow that separates live instances from notebook access. What's new. * Edit and render without an instance. Open your notebook, make changes, and send off render jobs with no live instance running. A live instance is only required to view the live viewport or run notebook cells. * Start a live instance from anywhere. Pre-warm an instance so it's ready the moment you need it - no more waiting on a cold start when you sit down to work. * Clear single-user access. At any point in time, one user may use an instance, and one user may edit a notebook. Taking over an instance or entering a notebook hands control to the newest user, so there's never ambiguity about who's driving. Why this matters. Most notebook sessions don't need a GPU. Reviewing scenario parameters, adjusting a camera pose, dispatching a batch of renders - none of that requires a live viewport. Decoupling the two means you only consume instance time when you're actually iterating visually, and renders go out the moment you're ready instead of after an instance boots. Pre-warming flips the equation the other way: if you know you'll need the viewport at 2pm, start the instance at 1:55 and walk into a session that's already hot. Also new: packaged datasets shared across your organization. Bifrost has also improved the downloads flow. Packaged datasets are now shared across your entire organization, with the ability to filter by the dataset's creator. You asked for a way to share downloads across the whole team - now anyone in your org can grab a teammate's packaged dataset without re-rendering or passing files around.
Airbus Ventures announces its investment in Bifrost AI, a Generative 3D Data platform, to meet the growing demand for AI training data and 3D simulati
SAN FRANCISCO, Oct. 31, 2024 /PRNewswire/ - Bifrost AI, a Generative 3D Data platform, raised $8 million in Series A funding to meet the growing demand for AI training data and 3D simulations.
Airbus Ventures invests in Bifrost AI to accelerate physical AI by simulating reality.
Each of our Surge 08 founders is inspiring us by their pioneering work and their ability to reimagine their sectors. We caught a glimpse of what the world could look like over the next decade in healthcare, AI, gaming, e-commerce and consumer brands and we’re so excited to partner with them at the start of this exciting journey!
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Industries
Data & Analytics
Robotics & Automation
Enterprise Software
AI & Machine Learning
Company Size
11-50
Company Stage
Series A
Total Funding
$8.1M
Headquarters
San Francisco, California
Founded
2019
Find jobs on Simplify and start your career today