Segments.ai
Segments.ai is a multi-sensor data labeling platform for 2D images, 3D point clouds, and combined camera/LiDAR/radar data, serving computer vision teams in robotics, autonomous vehicles, and delivery robotics. Founded in Belgium in 2019 and acquired by Uber in October 2025, it now operates as "Segments by Uber" under Uber AI Solutions.
- Company typePrivate
- Founded2019
- HeadquartersBrussels, Belgium
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Segments.ai does
Segments.ai is a multi-sensor data labeling platform purpose-built for computer vision teams working on robotics and autonomous systems. The company provides a unified interface for annotating 2D images, 3D point clouds, and multi-sensor data combining cameras, LiDAR, and radar with consistent track IDs across modalities and time, including 3D-to-2D projection and merged point cloud modes. Core features include ML-assisted tools such as Superpixel 2.0, Autosegment, Hover-and-click, and an integrated Segment Anything Model (SAM) trained on over 11 million images for auto-segmentation, plus add-on modules like the Warning System for QA, Attribute Timeline for temporal attribute auditing, and a Focus Beam tool co-developed with Nuro for cross-sensor object localization. A Python SDK, REST API, and native exports to PyTorch, TensorFlow, and Hugging Face allow programmatic integration into ML training pipelines, while ISO 27001 and TISAX certifications address enterprise and automotive security procurement requirements.
The company operates a hybrid SaaS-plus-services business model. Self-serve access is offered through a 14-day free trial and tiered subscriptions (Startup, Hyper Growth, Enterprise, plus a free Academic license), with annual Enterprise contracts for security-sensitive and high-volume customers. A managed Data Labeling Services offering coordinates work through a network of more than ten labeling-agency partners (Cogito, CloudFactory, Keymakr, Humans in the Loop, Ingedata, Africa AI, Mindy Support, and others), giving customers the option to outsource annotation entirely or use the platform for quality control over their own internal teams. The go-to-market is product-led at the bottom of the funnel (free trial, documentation, tutorials) and sales-assisted for enterprise deals, supported by content marketing, LinkedIn, conference presence, and agency referrals. Customers include Ford Autonomous Driving, Zipline, Outrider, ABB, Lufthansa, Scythe Robotics, Nuro, Torc (Daimler), aiMotive (Stellantis), and Oxbotica, spanning autonomous vehicles, delivery and off-road robotics, industrial automation, maritime, rail, and accessibility applications.
Founded in 2019 in Belgium (registered as Segments.ai BV, headquartered in Kessel-Lo/Leuven) and originally funded with a $1M seed round in 2021 led by Volta Ventures with Merus Capital and Y Combinator, Segments.ai was acquired by Uber Technologies Inc. on October 2, 2025. The acquisition placed the platform within Uber's newly formed Uber AI Solutions division, with the founders and team joining Uber and the product rebranded as "Segments by Uber." The acquisition enables Uber to expand its LiDAR and multi-sensor data annotation capabilities for autonomous vehicles and robotics and to offer data-labeling services to external clients, positioning the platform as part of Uber's broader play in the AI training data market alongside incumbents such as Scale AI.
Segments.ai firmographics
Firmographics- Name
- Segments.ai
- Legal name
- Segments.ai BV
- Website
- https://segments.ai
- Company type
- Private
- Founded year
- 2019
- Operating status
- Acquired
- Headcount range
- 1–10 employees
- Short description
- Segments.ai is a multi-sensor data labeling platform for 2D images, 3D point clouds, and combined camera/LiDAR/radar data, serving computer vision teams in robotics, autonomous vehicles, and delivery robotics. Founded in Belgium in 2019 and acquired by Uber in October 2025, it now operates as "Segments by Uber" under Uber AI Solutions.
- Ownership category
- akta.pro rank
Segments.ai industry classification
Industry- Product category
- Data labeling / Computer vision annotation software
- NAICS
- Navigational, Measuring, Electromedical, and Control Instruments Manufacturing (3345)
- SIC
- Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Data Labeling & Annotation Services (HDAAALAB)
- akta.pro secondary industries
- Annotation Tooling & Workflow Management (HDAAALAC), Data Augmentation & Programmatic Labeling (HDAAALAH), Domain-Specific Training Data Solutions (e.g., medical, AV, geospatial) (HDAAALAL)
Keywords
Where Segments.ai is headquartered
LocationHeadquarters
- HQ city
- Brussels
- HQ country
- Belgium
- HQ region
- Europe
Offices1 record
Markets served
Segments.ai business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Revenue model
- SaaS Platform Subscription: Subscription-based access to the Segments.ai labeling platform with tiered plans for startups, growth companies, and enterprises. Includes tooling, integrations, and team collaboration features.
- Data Labeling Services: Managed labeling services where Segments.ai provides or coordinates external workforce for data annotation tasks, offering white-glove service for companies wanting hands-off labeling
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | Free trial - 14-day access to test the platform |
| Subscription | Monthly | Startup tier - For early-stage companies building first datasets |
| Subscription | Monthly | Hyper Growth tier - For companies scaling data annotation processes |
| Subscription | Annual | Enterprise tier - Advanced automation and custom solutions |
| Freemium | Annual | Academic License - Free access for academic institutions |
Go-to-market motion1 record
Distribution channels4 records
Marketing channels6 records
Segments.ai product offering
Product offeringCore offering
Segments.ai provides a multi-sensor data labeling platform that lets computer vision engineers and ML teams annotate 2D images, 3D point clouds, and multi-sensor data (cameras, LiDAR, radar) in a single interface with consistent track IDs across modalities and time. The company also offers managed labeling services through a network of agency partners and a Python SDK/REST API for programmatic workflow integration. The platform is purpose-built for robotics, autonomous vehicles, and other autonomous systems requiring high-quality perception training data.
Product overview
Segments.ai is a multi-sensor data labeling platform acquired by Uber (October 2025) operating under the Uber AI Solutions division. The platform provides a unified environment for computer vision engineers and labeling teams to annotate 2D images, 3D point clouds, and multi-sensor data (combining camera, lidar, and radar) for robotics and autonomous vehicle applications. The core products include the Multi-Sensor Labeling Platform, 3D Point Cloud Labeling, and 2D Image Labeling interfaces, supported by the Python SDK and REST API for programmatic access and workflow integration. Add-on capabilities include Model-Assisted Labeling (pre-label verification), the Warning System (rule-based error detection), Attribute Timeline (temporal attribute tracking), and specialized labeling modes like Merged Point Cloud Mode and Batch Mode for dynamic object tracking. The platform also offers managed Data Labeling Services through a network of vetted labeling agencies, a collection of Public Datasets (including nuScenes, SemanticKITTI, KITTI, and Waymo datasets), and dedicated pricing tiers for startups, academic institutions, and enterprise customers.
Differentiator
Problem solved
Functional benefit
Products and services
- Multi-Sensor Labeling Platform Core platform enabling simultaneous labeling across multiple sensor types (cameras, LiDAR, radar) in a single interface for robotics and autonomous vehicle applications. Labels are synchronized across modalities and time with consistent tracking IDs and 3D-to-2D projection.
- 3D Point Cloud Labeling Annotation interface for 3D point cloud data supporting cuboids, segmentation, keypoints, polygons, and polylines, with merged point cloud mode and batch mode for dynamic object tracking.
- 2D Image Labeling Image annotation interface supporting semantic segmentation, panoptic segmentation, instance segmentation, bounding boxes, polygons, polylines, and keypoints, with ML-assisted tools like Superpixel 2.0 and SAM.
- Python SDK Python software development kit providing programmatic access to Segments.ai features including dataset creation, sample upload, prediction upload, release management, and labeled data export for ML workflows.
- REST API Public REST API at api.segments.ai with API key authentication, supporting dataset management, sample management, label creation/updates, and release management for integration into external pipelines.
- Data Labeling Services Managed labeling service offering full white-glove annotation or quality-control-only options, coordinating vetted labeling agencies (Cogito, Africa AI, CloudFactory, Keymakr, Humans in the Loop, Ingedata, etc.) for customers wanting outsourced data annotation.
Quantifiable outcome
- Labeling efficiency significantly improved with Superpixel tool for image segmentation
- +1 more outcomes
Companies that use Segments.ai
Customer profileNamed customers16 records
Segments5 records
Ideal customer profiles3 records
Segments.ai technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration8 records
AI capability8 records
Feature7 records
Segments.ai partnerships and signals
Strategic signalPartnerships
Nine partnerships are on record, tiered core and minor.
- OutridercoreOutrider selected Segments.ai for multi-sensor data annotation to accelerate autonomous yard operations. The partnership enables Outrider to scale its labeling processes with enhanced data annotation capabilities, supporting safer and more efficient operations of self-driving trucks in distribution yards.
- CogitominorLabeling agency partner that uses Segments.ai platform for data annotation services
- Africa AIminorLabeling agency partner providing data annotation services using Segments.ai
- CloudFactoryminorGlobal labeling workforce platform partner using Segments.ai for annotation
- KeymakrminorData annotation company partner offering labeling services on Segments.ai platform
- Humans in the LoopminorSocial profit labeling agency partner using Segments.ai platform
- IngedataminorData annotation services provider partner
- Mindy SupportminorBulgaria-based labeling company partner
- Uber AI SolutionscoreAcquired by Uber Technologies Inc. in October 2025 to strengthen Uber's artificial intelligence operations. Deal enables Uber to expand lidar and multi-sensor data annotation capabilities for autonomous vehicles and robotics, and offer data-labeling services to external clients. Segments.ai founders and team joined Uber.
Scale indicators4 records
Recent moves6 records
Expansion highlights5 records
Segments.ai competitors and assessment
Company assessmentDirect peers
- Scale AI: Scale AI is the leading data labeling platform for AI, with deep penetration in autonomous vehicles, robotics, and government/defense. It directly competes with Segments.ai across 2D image, 3D point cloud, and multi-sensor labeling, and is the de facto market leader Segments.ai is benchmarked against.
- Labelbox: Labelbox provides a SaaS platform for image, video, and multi-modal data labeling with model-assisted labeling and workflow tooling. It competes directly with Segments.ai in 2D image and 3D point cloud annotation, and serves similar enterprise CV and AV customers.
- Encord: Encord is a data-centric AI platform for image, video, and 3D point cloud labeling targeting robotics and AV teams. It is a close functional competitor to Segments.ai, with overlapping features in multi-sensor annotation, model-assisted labeling, and dataset curation.
- V7 (V7 Labs): V7 provides an image and video annotation platform with AI-assisted labeling for industrial, medical, and autonomous systems use cases. It directly competes with Segments.ai in 2D image annotation and segmentation and serves overlapping CV/robotics customers.
- Roboflow: Roboflow offers a computer vision platform for image dataset creation, annotation, and model training with a strong developer/PLG motion. It is comparable to Segments.ai in 2D image labeling and shares a similar bottom-up developer funnel, though it is broader (less 3D/multi-sensor depth).
- SuperAnnotate: SuperAnnotate provides an AI annotation platform for image, video, and multi-modal data with a managed-services arm. It directly competes with Segments.ai across annotation tooling, model-assisted labeling, and large-scale AV/robotics engagements.
- Sama: Sama combines an AI labeling platform with a managed workforce (impact-sourcing model) serving automotive, retail, and robotics customers. It overlaps with Segments.ai's labeling services offering and competes for the same AV and industrial perception work.
- Hive: Hive provides AI data labeling and annotation services for images, video, and audio, with significant autonomous-vehicle and geospatial customers. It is comparable to Segments.ai in image/point cloud annotation and in serving enterprise AV programs.
- Datasaur: Datasaur is an NLP and computer vision labeling platform with model-assisted labeling and workflow automation. It overlaps with Segments.ai in CV annotation and serves a similar enterprise tooling buyer, though its strength has historically been NLP.
Broad incumbents
- Amazon SageMaker Ground Truth: SageMaker Ground Truth is a cloud-native data labeling service within AWS offering both automated and human-in-the-loop labeling. It is a broad incumbent that competes with Segments.ai for enterprise labeling budgets, particularly among AWS-centric customers.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key highlights7 records
Customer concentration
Segments.ai social profiles
Digital presenceSegments.ai compliance and trust
Trust signalCompliance2 records
Segments.ai financial estimates
Financial estimateRevenue estimate
Valuation estimate
Segments.ai leadership team
Management profileNumber of profiles
Profiles1 record
Segments.ai funding detail
Funding detailFunding overview
Funding rounds1 record
Investors3 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Segments.ai M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Segments.ai
What does Segments.ai do?
Segments.ai provides a multi-sensor data labeling platform that lets computer vision engineers and ML teams annotate 2D images, 3D point clouds, and multi-sensor data (cameras, LiDAR, radar) in a single interface with consistent track IDs across modalities and time. The company also offers managed labeling services through a network of agency partners and a Python SDK/REST API for programmatic workflow integration. The platform is purpose-built for robotics, autonomous vehicles, and other autonomous systems requiring high-quality perception training data.
Is Segments.ai a public or private company?
Segments.ai is a private company. It is classified as corporate owned and is currently acquired.
When was Segments.ai founded?
Segments.ai was founded in 2019. It employs 1 to 10 people.
Where is Segments.ai based?
Segments.ai is headquartered in Brussels, Belgium, in the Europe region.
How does Segments.ai make money?
Two revenue lines are on record. SaaS Platform Subscription is the primary driver. The others are data Labeling Services.
Who are Segments.ai's main competitors?
Direct peers on record are Scale AI, Labelbox, Encord, V7 (V7 Labs), Roboflow, SuperAnnotate, Sama, Hive and Datasaur. Amazon SageMaker Ground Truth is listed as a broad incumbent.
Does Segments.ai have an API?
Yes. Segments.ai provides a public REST API at https://api.segments.ai/ with API key authentication (add API key in the header of each request). The API supports managing datasets (list, get, create, update, delete), samples (list, get, create, update, delete), labels (get, create/update, delete), and releases (list, get, create, delete). It is used in conjunction with the Python SDK, which is a convenient wrapper for the API. The platform also supports webhooks for listening to account events to automatically trigger reactions in external integrations. Developer documentation is at docs.segments.ai.
What industry is Segments.ai in?
Segments.ai's product category is Data labeling / Computer vision annotation software. Its primary akta.pro industry code is HDAAALAB, Data Labeling & Annotation Services, with a secondary code of HDAAALAC, Annotation Tooling & Workflow Management. Its NAICS code is 3345 and its SIC code is 7373.