Labelops

What Labelops does

LabelOps, operated by OBRAZ PVT LTD and headquartered in Mannarkkad, Kerala, India, is a data annotation services provider founded in 2020. It delivers human-annotated training data for AI/ML models across images, video, audio, text, and 3D point cloud (LiDAR) data modalities, organized into six service lines: image annotation, video annotation, audio annotation, NLP annotation, end-to-end model training, and software development. Annotation techniques span 2D/3D bounding boxes, polygons, semantic segmentation, keypoints, polylines, interpolation-based video tracking, and LiDAR point cloud labeling, with a triple-level quality check process claimed at 99.99% accuracy.

The company runs a managed workforce of 2,000+ annotators across its broader network, anchored by 125+ expert annotators and 15+ project managers, each with 2+ years of domain experience, supported by a 45+ day new-hire training program. It serves enterprise clients in autonomous vehicles (primary), medical technology, retail tech, logistics, sports, agriculture, aerial/drone imagery, manufacturing, human attribution, and sensor fusion/3D point cloud — though no individual customer names are publicly disclosed despite ~16 logos displayed on the website.

LabelOps monetizes through four pricing models — hourly ($3.5/annotator-hour vs. a stated global rate of $7–10), per task, per object, and FTE monthly subscription — plus a custom Enterprise managed-services tier with multi-year contracts, 24x7 support, and dedicated project teams. Distribution is direct-sales-led: all engagements originate via the labelops.ai website, beginning with consultation and a free demo/PoC before project kickoff. The company is private, has no disclosed funding rounds, no M&A activity, no named institutional investors, and no disclosed revenue.

Name

Labelops

Legal name

OBRAZ PVT LTD

Website

https://labelops.ai

Company type

Private

Founded year

2020

Operating status

Operating

Headcount range

1–10 employees

Short description

LabelOps is a Kerala, India-headquartered data annotation services provider delivering image, video, audio, text, and 3D point cloud labeling to train AI/ML models. It serves enterprise clients across autonomous vehicles, medical, retail, logistics, agriculture, manufacturing, and other verticals via a 2,000+ annotator workforce at $3.5/hour pricing.

Ownership category

akta.pro rank

Product category

Data Annotation Services

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Prepackaged Software (7372)

akta.pro primary industry

Data Labeling & Annotation Services (HDAAALAB)

akta.pro secondary industries

Annotation Tooling & Workflow Management (HDAAALAC), Data Augmentation & Programmatic Labeling (HDAAALAH)

Keywords

• Data annotation services
• Image annotation
• Video annotation
• NLP annotation
• AI training data

Headquarters

HQ city

Mannarakkat

HQ country

India

HQ region

Asia

Offices1 record

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Operations, Technology or R&D, Marketing or Sales, Infrastructure

Revenue model

1. Hourly Rate - Per Person Per Hour: Clients pay per annotator per hour. LabelOps offers this at $3.5 per hour — significantly below the global market rate of $7–10/hour — as the company's primary competitive pricing lever. Ideal for short-term or variable-volume projects.
2. Per Task Pricing: Pricing is quoted based on the complexity and size of individual annotation tasks. This model suits projects with well-defined, measurable task units.
3. Per Object Pricing: Clients pay per annotated object within images or videos. Suitable for high-volume object-detection labeling projects where per-unit pricing provides cost predictability.
4. Full Time Equivalent (FTE) Plan: Monthly subscription model for dedicated annotators hired on a fixed-price monthly basis. Ideal for long-term projects requiring consistent annotation capacity, dedicated project manager, and ongoing engagement.
5. Enterprise Plan: Custom pricing tier combining all FTE plan benefits (dedicated project team, dedicated project manager) with 24x7 customer support, daily project updates, and custom pricing tailored to enterprise needs.

Pricing tiers

Go-to-market motion2 records

Distribution channels3 records

Marketing channels7 records

Core offering

LabelOps provides data annotation and labeling services for images, video, audio, and text used to train AI and machine learning models. The company leverages a managed workforce of 2,000+ annotators to deliver end-to-end services including image, video, audio, and NLP annotation, 3D point cloud/LiDAR annotation, model training and fine-tuning, and complementary custom software development.

Product overview

LabelOps is a data annotation and AI services platform offering six core service modules: Image Annotation, Video Annotation Services, Audio Annotation, Natural Language Processing (NLP), Model Training, and Software Development. These services are delivered through a managed workforce of 2,000+ annotators and 15+ project managers, providing end-to-end solutions from data annotation to model deployment. The platform specializes in computer vision annotation across images, videos, and 3D point cloud data, along with NLP and speech/audio annotation for training AI and machine learning models across industries including autonomous vehicles, medical technology, agriculture, retail, logistics, and manufacturing.

Differentiator

Problem solved

Functional benefit

Products and services

• Image Annotation
• Video Annotation Services
• Audio Annotation
• Natural Language Processing (NLP) Annotation
• Model Training
• Software Development

Quantifiable outcome

• 99.87% accuracy across all annotation deliverables
• +4 more outcomes

Named customers1 record

Segments10 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability9 records

Feature5 records

Scale indicators6 records

Recent moves5 records

Expansion highlights5 records

Direct peers

• SuperAnnotate: SuperAnnotate provides an end-to-end annotation platform with managed service offerings for computer vision and NLP. It targets a similar enterprise buyer profile and covers comparable modalities including image, video, LiDAR, and text annotation.
• Appen: Appen is a publicly listed data annotation provider with a global crowd workforce spanning 170+ countries. It competes directly with LabelOps in image, video, audio, and text annotation, particularly for enterprise AI training data, and operates a comparable managed-service + platform model.
• V7 Labs: V7 Labs offers an AI-assisted image and video annotation platform targeting enterprise AI teams in healthcare, manufacturing, and autonomous systems. It competes with LabelOps both at the platform layer and via its managed services tier.
• Labelbox: Labelbox provides an end-to-end data labeling platform with integrated tooling for image, video, text, and geospatial annotation. It competes with LabelOps at the platform layer, particularly for enterprise teams building proprietary annotation workflows rather than outsourcing labor.
• Sama (formerly Samasource): Sama delivers AI data annotation and model validation services with an ethical-impact workforce model (East Africa-based). It is directly comparable to LabelOps in providing image, video, and 3D point cloud annotation for autonomous vehicles, retail, and agriculture AI use cases.
• Scale AI: Scale AI is a leading data annotation and labeling platform serving enterprise AI teams across autonomous vehicles, government, and NLP. It is the most directly comparable competitor to LabelOps in terms of enterprise focus and broad modality coverage, though at a vastly larger scale and with proprietary tooling.
• Surge AI: Surge AI specializes in high-quality NLP data annotation and labeling for frontier AI labs. While narrower in modality (text-first) than LabelOps, it competes for the same enterprise and AI developer buyer segment with a premium quality positioning.
• CloudFactory: CloudFactory provides managed teams of data annotators primarily based in Nepal and Kenya for computer vision and AI training data. It competes directly with LabelOps in the offshore-workforce segment and serves similar verticals including autonomous vehicles and agriculture.

Emerging players

• Datasaur: Datasaur is an NLP-focused annotation platform with LiDar and image capabilities, targeting a similar enterprise segment. It overlaps with LabelOps's NLP service line while offering a more product-led approach.

Broad incumbents

• Telus International (Lionbridge AI): Telus International acquired Lionbridge AI and now offers data annotation as part of a broader digital CX and AI services portfolio. It competes with LabelOps across all major annotation modalities for large enterprise RFPs, though annotation is one of many services rather than a specialization.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat3 records

Key risks6 records

Key highlights6 records

Customer concentration

• Xx.com/ObrazMarketing
• Facebookfacebook.com/people/Obrazin/61590333054133
• LinkedInlinkedin.com/company/obraz-ai
• Instagraminstagram.com/obrazpvt

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Labelops