Companies · Robotics

Segments.aiWinter 2021Acquired

Brussels · Brussels, Belgium; Remote · Robotics · founded 2021 · https://segments.ai

Diligence memoA one-page analyst read on Segments.ai — recommendation, valuation, rhythm, risks.
Total raised · real
0
Rounds
Latest step-up
Top 66%
Sector rank · raised
Latest stage · inferred

Segments.ai: limited disclosed financing to assess.

Synthesized from the figures below est. — every claim rests on a number shown on this page.

Where it sits in Robotics

Segments.ai is one of 327 Robotics companies tracked from Brussels, Brussels, Belgium; Remote, on record since 2021. By capital raised it ranks in the long tail (ahead of 35% of sector peers), and in the long tail by modeled valuation est..

Ranking is computed against this company's own sector cohort — reported capital is fact; valuation tiers are modeled.

AI analyst read est. — model-extracted from this company's public description, not a verified fact. 30%

operates a technology-led product inferred from public copy

Grounded in: “You are a venture analyst

Build better computer vision models by building better datasets

[Segments.ai](http://segments.ai/) is helping robotics and automotive companies label their multi-sensor data for AI training and validation. Our platform enables customers to efficiently annotate their point cloud and image data, accelerating their path to autonomy. We're a fast-growing, remote-first YC startup with a lean team and healthy runway. [Segments.ai](http://segments.ai/) is used by large organizations as well as innovative startups building the next generation of autonomous drones, delivery robots, self-driving cars, and more.

Computer VisionDeep LearningDeveloper Toolsai/mlhardware/semirobotics
Find Segments.ai online

As reported in public records reported — not modeled.

BE
Jurisdiction
Amount raised vs valuation, by round

Solid bars are reported offering amounts reported; hatched bars are the modeled post-money valuation est. — both on one shared scale so you can read raise-vs-worth at each round directly. Use the toggles to overlay data labels and the niche-peer / market average value lines.

No round amounts on record to chart.

Financing ladder & sequence gaps

No staged rounds to sequence.

Modeled valuation trajectory
Base estimate est.
Conservative case
Upside case
Modeled post-money

Round size and date are reported; the stage label is inferred from round size. Valuation is modeled from stage benchmarks. Directional, not a quoted figure.

Not enough modeled valuation points to chart a trajectory.

Financing rhythm
Avg between rounds
Capital velocity
On record since
First round
0
Rounds on file
How it compares to the market

Benchmarked against 327 companies in Robotics. Each bar is a median (the middle company, not an average — outliers don't skew it). Two yardsticks: real money raised (reported on Form D) and modeled value (our estimate est.). These are whole-sector medians across all stages, except the per-stage row.

Total raised — vs sector median (real $, all stages)
This company
Sector median$6.3M
Modeled value — vs sector median (estimate, all stages)
This company
Sector median$34.4M

Raised more than 35% of sector peers (real $). Modeled value above 35% of peers (estimate).

Full financing history

Stage is inferred from round size est., not reported on the filing — a round's dollar size maps to a bucket: Pre-Seed <$1.0M · Seed $1.0M–$4.0M · Series A $4.0M–$15M · Series B $15M–$40M · Series C $40M–$100M · Series D+ $100M–$400M · Growth/Late >$400M.

StageAmount · realAnnouncedPost-money · estValue · estConf.
No rounds recorded.
Intelligence
Modeled next raise
Modeled next size est.
Last step-up
Capital velocity

Predictive signals are modeled est. from this company's own cadence and step-up, plus sector benchmarks — directional, not advice. Peer set and a CSV export live in your analyst workspace.

Registry & provenance

Segments.ai is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.

United States
Country of record
BE
Jurisdiction
Similar companies

Nearest neighbours across the whole database — matched on sector, stage and capital scale, and on shared operators (officers or directors named at both companies in public filings). A discovery shortlist, not a valuation cohort — verify before acting, the same way modeled figures are directional.

CompanySectorStageRaised · realValue · estWhy similar
3Laws Robotics Inc.RoboticsSeed$2.0M$21.7Msame sector
6thSenseRoboticssame sector
Accel Robotics CorpRoboticsSeries A$11.4M$138.1Msame sector
Advanced Image Robotics, Inc.RoboticsSeed$2.5M$19.9Msame sector
Advanced Metal ResearchRoboticssame sector
Aerones Inc.RoboticsSeries B$38.9M$417.0Msame sector
Agility Robotics, Inc.RoboticsSeries D+$157.5M$2.5Bsame sector
AiM Medical Robotics Inc.RoboticsSeries A$11.7M$22.7Msame sector
Semantically similar

Matched by meaning, not labels — a local language model reads each company's name, sector and description and ranks the closest in that learned space. This catches look-alikes that cross sector boundaries; the structured list above explains its matches, this one trusts the text. Directional, like every modeled signal here.

CompanySectorStageValue · estMatch
Vision Lab
Industrial data layer for robotics training
Robotics82%
Iris Automation
Enabling autonomous drone operations globally through AI software
Robotics79%
Bucket Robotics
Defect detection for manufacturing built from CAD and synthetic data.
Robotics79%
Thesis
Autonomous AI research
AI / ML77%
Prototyping.io
Autonomous manufacturing for mechanical parts
AI / ML77%
hillclimb
Training Data for Recursive Self-Improvement
AI / ML77%
DeepAware AI
Robots, parts & RL environments - delivered in 72 hrs or pickup in SF.
Robotics77%
Standard Cyborg
Buid, test and deploy perception applications
AI / ML76%
Frequently asked
What does Segments.ai do and where is it based?
Segments.ai operates in the Robotics sector, based in Brussels, Brussels, Belgium; Remote. Build better computer vision models by building better datasets
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