Companies / Data vendor

Bifrost

Generates photorealistic, pixel-perfect labeled synthetic datasets for perception and autonomy teams (Stardust) and runs GPU simulation to evaluate robot policies (Manifold). Recorded here: what it sells, in its own words and 1 funding event.

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bifrost.aiLatest record 9 Nov 2026

#18

of 23 synthetic data companies, by the money on record

$8M

disclosed funding raised

Also ranked #30 of 37 robotics training data companies, #35 of 45 video and image data companies, #47 of 60 AI training data providers and #54 of 61 AI evaluation companies, on the rankings of the AI data market.

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Bifrost and its competitors, ranked.

What Bifrost sells

In its own words, read on its own site 9 Nov 2026. On the vendor register

What it sells

Datasets: “Train, test and validate AI with realistic, pixel-perfect labeled datasets that match your sensor imagery, covering the rare environments, objects and scenarios real-world collection never captures.” bifrost.ai

Simulation: “Run thousands of GPU-accelerated simulations in parallel and get your results in minutes, not overnight.” bifrost.ai

Evaluations and benchmarks: “Test every curated dataset, architecture, checkpoint, and post-training recipe on the same deterministic test suite.” bifrost.ai

Where its data comes from

Generated: “Stardust, our synthetic data platform, generates photorealistic, pixel-perfect labeled datasets for perception and autonomy teams in maritime, aerial, geospatial, space and off-road.” bifrost.ai

Buys data from owners
Its pages do not say it does.
Areas its pages name
Images and video, Robotics

Funding and acquisitions

Funding rounds and acquisitions recorded for Bifrost
WhenEventAmountSource
30 Oct 2024Series A$8MTechCrunch, 30 October 2024

Cite this

AIData.Broker, “Bifrost in the AI training data market”, reviewed 9 Nov 2026. https://aidata.broker/companies/bifrost

Free to reuse under CC BY 4.0 if you credit AIData.Broker and link to this page. Each row names the publication that stated it, and words quoted from a source keep that source's own terms.

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