Labellerr
Labellerr is a cloud-based SaaS data annotation platform that helps AI/ML teams prepare high-quality image, video, text, audio, DICOM, and LiDAR training data, combining AI-assisted labeling with a 5,000+ global annotator workforce and serving enterprise and mid-market customers across automotive, healthcare, LLM, robotics, and other verticals.
- Company typePrivate
- Founded2022
- HeadquartersWilmington, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Labellerr does
Labellerr operates a cloud-based SaaS platform for AI/ML teams to prepare high-quality training data across image, video, text, audio, LiDAR, and DICOM modalities. The core product portfolio includes a unified Data Annotation Platform and specialized modules for image, video, text, and DICOM annotation, complemented by managed Annotation Services that leverage a curated workforce of 5,000+ trained full-time annotators distributed globally across secured facilities. Underlying technology combines AI-assisted automated labeling (model-assisted, prompt-based, and active learning workflows) with human-in-the-loop review, anchored by the proprietary Smart Feedback Loop that automates continuous training data pipelines and integrates natively with Meta's SAM, SAM 2, and SAM 3 foundation models for automated high-precision masking. The platform is delivered via direct enterprise sales, self-service product-led growth (free 14-day pilot with no minimum commitment), and cloud-marketplace integrations with AWS Sagemaker, GCP Vertex AI, and Azure ML; pricing spans freemium/PAYGO per-image pricing through custom enterprise contracts with SOC 2 Type II and GDPR compliance.
The company is legally organized as Tensor Matics, Inc. (Delaware, US) with an Indian operating subsidiary Tensor Matics Pvt Ltd (Chandigarh, Punjab), operating from a registered Delaware headquarters, a San Francisco regional office, and a Chandigarh engineering and service delivery office. It serves a mix of enterprise and startup customers across Automotive, Healthcare, LLM/NLP, Robotics, Security & Surveillance, Retail, Manufacturing, Agriculture, Energy, Sports Vision, and Biotechnology verticals, with named customers including Intuition Robotics, Foss, Spot AI, Foresight Health Solutions, Oishii, Wadhwani AI, Butterfly Positronics, Spare-it, Perceptly, and Adobe. Capitalization has been modest — $100,000 from Upekkha Vertical AI Accelerator in October 2022 and an undisclosed tranche from IIT Mandi Catalyst in early 2024 — suggesting either significant bootstrapping, unreported rounds, or founder-funded operations despite a relatively broad product surface and small (11-50) core headcount.
Labellerr firmographics
Firmographics- Name
- Labellerr
- Legal name
- Tensor Matics, Inc.
- Website
- https://labellerr.com
- Company type
- Private
- Founded year
- 2022
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Labellerr is a cloud-based SaaS data annotation platform that helps AI/ML teams prepare high-quality image, video, text, audio, DICOM, and LiDAR training data, combining AI-assisted labeling with a 5,000+ global annotator workforce and serving enterprise and mid-market customers across automotive, healthcare, LLM, robotics, and other verticals.
- Ownership category
- akta.pro rank
Labellerr industry classification
Industry- Product category
- AI Training Data Annotation Software
- NAICS
- Custom Computer Programming Services (541511), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Processing & Data Preparation (7374)
- akta.pro primary industry
- Data Labeling & Annotation Services (HDAAALAB)
- akta.pro secondary industries
- Data Augmentation & Programmatic Labeling (HDAAALAH), Annotation Tooling & Workflow Management (HDAAALAC)
Keywords
Where Labellerr is headquartered
LocationHeadquarters
- HQ city
- Wilmington
- HQ country
- United States
- HQ region
- North America
Offices3 records
Markets served
Labellerr business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Operations, Marketing or Sales, Infrastructure
Revenue model
- Data Annotation Platform SaaS: Cloud-based data labeling platform subscription and usage-based pricing for AI teams to prepare training data. Includes per-image pricing, subscription plans, and flexible pay-as-you-go options.
- Professional Annotation Services: Managed annotation services with curated workforce of trained annotators for complex or large-scale labeling projects requiring human expertise
- Custom Enterprise Solutions: Customized solutions for enterprises with specific requirements, including on-premise deployments and dedicated support
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | Free Trial - 14 days pilot with no minimum data commitment |
| Unit Pricing | Pay-as-you-go | Per-Image Pricing - Pay for actual annotations used |
| Subscription | Monthly | Enterprise/Custom Plans - Tailored pricing for large organizations |
| Hybrid | Pay-as-you-go | Affordable Alternative Pricing |
Go-to-market motion1 record
Distribution channels4 records
Marketing channels11 records
Labellerr product offering
Product offeringCore offering
Labellerr is a cloud-based SaaS data annotation platform that combines AI-assisted automated labeling with human-in-the-loop workflows to prepare high-quality training data for computer vision, NLP, and LLM models. It supports multiple data modalities including images, video, text, audio, and DICOM medical images, and offers specialized tools for bounding boxes, polygons, semantic and instance segmentation, video object tracking, text classification/NER, and medical imaging. The platform is complemented by professional managed annotation services backed by a 5,000+ trained full-time annotator workforce, plus enterprise deployment options including on-premise.
Product overview
Labellerr is a comprehensive AI-assisted collaborative SaaS data annotation platform that enables data science teams to prepare high-quality training data across multiple modalities. The platform offers a unified portfolio including specialized annotation tools for images (Image Annotation Platform), video (Video Annotation Platform), text (Text Annotation Platform), and medical DICOM images (Dicom Annotation Tools), complemented by managed Annotation Services with human-in-the-loop workflows. Key differentiators include LabelGPT for prompt-based labeling, the Smart Feedback Loop for automated continuous training pipelines, and integration with foundation models like Meta's SAM. The platform supports industry-specific solutions for Automotive, Healthcare, LLM, Biotechnology, Security & Surveillance, and other verticals, with deployment options for both cloud and on-premise environments.
Differentiator
Problem solved
Functional benefit
Products and services
- Data Annotation Platform
Quantifiable outcome
- 99% accurate labels in 3 days turnaround
- +8 more outcomes
Companies that use Labellerr
Customer profileNamed customers10 records
Segments11 records
Ideal customer profiles2 records
Labellerr technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability7 records
Feature10 records
Labellerr partnerships and signals
Strategic signalPartnerships
Five partnerships are on record, tiered core.
- Auth0coreAuth0 provides authentication services for Labellerr's platform, ensuring that only authenticated users can access the platform with enterprise-grade identity management.
- AWS (Amazon Web Services)coreCloud integration partner - Labellerr connects with AWS for data storage and integrates with AWS Sagemaker for machine learning workflows. Customers can deploy on AWS infrastructure.
- GCP (Google Cloud Platform)coreCloud integration partner - Labellerr integrates with GCP Vertex AI for ML workflows. Data can be uploaded from Google Cloud storage.
- Azure (Microsoft)coreCloud integration partner - Labellerr integrates with Azure ML for machine learning workflows. Customers can deploy on Azure cloud infrastructure.
- Meta (Facebook)coreFoundation model integration - Labellerr natively supports Meta's SAM (Segment Anything Model), SAM 2, and SAM 3 for automated high-precision masking and complex dataset annotation.
Scale indicators17 records
Recent moves6 records
Expansion highlights6 records
Labellerr competitors and assessment
Company assessmentDirect peers
- Dataloop: Data annotation and curation platform with automation, human-in-the-loop workflows, and ontology tools for production AI pipelines—closely matches Labellerr's enterprise positioning.
- Labelbox: SaaS data labeling platform targeting enterprise AI teams with image, video, and text annotation plus model-assisted labeling, the closest functional competitor to Labellerr's core platform.
- Encord: Data-centric AI platform with annotation, curation, and model evaluation tooling for multimodal AI, directly overlapping Labellerr's Smart Feedback Loop and curation positioning.
- V7 Labs: Computer-vision focused labeling platform with model-assisted labeling for image and video workflows; positioned similarly in automotive, healthcare, and robotics verticals.
- Roboflow: End-to-end computer vision platform combining dataset creation, labeling, and model training; competes with Labellerr's Image and Video Annotation Platform for the same ML developer audience.
- SuperAnnotate: AI-assisted annotation platform for image, video, and text with a managed-services arm; explicitly named as a direct competitor on Labellerr's pricing/comparison pages.
Broad incumbents
- Scale AI: Large, well-funded data labeling and evaluation platform serving the same AI/ML data-preparation use case across image, text, and RLHF, with significant enterprise traction and government/defense programs.
- Appen: Established data annotation provider combining a global crowd workforce with platform tooling; named as a competitor in Labellerr's pricing comparisons and provides a similar managed-services-plus-software model.
- Amazon SageMaker Ground Truth: Hyperscaler-managed labeling service tightly integrated with the AWS ML stack; competes primarily for AWS-native customers but referenced by Labellerr as a comparator and integration partner.
Emerging players
- CVAT (Intel): Open-source image and video annotation tool that serves as a free alternative for annotation; named by Labellerr as a comparable, primarily used by cost-sensitive or in-house teams.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Labellerr social profiles
Digital presenceLabellerr compliance and trust
Trust signalCompliance2 records
Labellerr financial estimates
Financial estimateRevenue estimate
Valuation estimate
Labellerr leadership team
Management profileNumber of profiles
Profiles1 record
Labellerr funding detail
Funding detailFunding overview
Funding rounds2 records
Investors2 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Labellerr 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 Labellerr
What does Labellerr do?
Labellerr is a cloud-based SaaS data annotation platform that combines AI-assisted automated labeling with human-in-the-loop workflows to prepare high-quality training data for computer vision, NLP, and LLM models. It supports multiple data modalities including images, video, text, audio, and DICOM medical images, and offers specialized tools for bounding boxes, polygons, semantic and instance segmentation, video object tracking, text classification/NER, and medical imaging. The platform is complemented by professional managed annotation services backed by a 5,000+ trained full-time annotator workforce, plus enterprise deployment options including on-premise.
Is Labellerr a public or private company?
Labellerr is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Labellerr founded?
Labellerr was founded in 2022. It employs 11 to 50 people.
Where is Labellerr based?
Labellerr is headquartered in Wilmington, United States, in the North America region.
How does Labellerr make money?
Three revenue lines are on record. Data Annotation Platform SaaS are the primary driver. The others are professional Annotation Services and custom Enterprise Solutions.
Who are Labellerr's main competitors?
Direct peers on record are Dataloop, Labelbox, Encord, V7 Labs, Roboflow and SuperAnnotate. Broad incumbents are Scale AI, Appen and Amazon SageMaker Ground Truth. CVAT (Intel) is listed as an emerging player.
Does Labellerr have an API?
Yes. Labellerr provides a public API and Python SDK that allows developers to programmatically integrate Labellerr into their ML training loops and data pipelines. The SDK enables users to programmatically fetch and sync high-quality annotated data, streamline custom AI workflows, automate real-time data fetching, and scale pipelines with minimal overhead. Developer documentation is at docs.labellerr.com.
What industry is Labellerr in?
Labellerr's product category is AI Training Data Annotation Software. Its primary akta.pro industry code is HDAAALAB, Data Labeling & Annotation Services, with a secondary code of HDAAALAH, Data Augmentation & Programmatic Labeling. Its NAICS code is 541511 and its SIC code is 7370.