We did the heavy lifting in 2025. Here’s what it

added up to ->

The AI Services Platform for Enterprise Labeling Ops

AI pre-labeling, platform-powered workflows, & expert human review together for teams building robotics, LiDAR, computer vision, ecommerce & medical AI

ai services

The Execution Layer for your Labeling-Ops

A unified execution layer that combines auto annotation, domain-qualified experts, and adaptive workflows to consistently deliver production-ready outcomes.

AI Pre-Labeling

Pre-labeling that runs on task-matched models: SAM-3 for segmentation, YOLO v12 for detection, Mistral OCR for document extraction, Whisper-V3 and Google STT v2/Chirp for audio, with confidence-scored outputs routed to human review only where the model is uncertain. Swap models per task without re-architecting your pipeline.

Workflow Orchestration

Task allocation runs on model/reviewer affinity, not a flat queue, each task goes to whichever model or specialist is calibrated for it. Maker-Checker and Consensus review sit on top as configurable QC layers, and every decision is versioned and traceable back to the model or reviewer that made it.

Qualified Human Expertise

Specialists are qualified per task type before they touch your data: assessed, trained, certified, then monitored against live accuracy metrics, with a defined path to upskill into harder edge cases. Reviewers aren't generalists reassigned across projects; they're matched to the data type they were certified on.

Built for the data types that break generic pipelines.

The same Label ops behind every kind of AI data you send us.

LiDAR & Autonomous Systems

Point cloud annotation and multi-sensor fusion for the ADAS edge cases models actually fail on.

Computer Vision

Object detection and image segmentation labeled to production accuracy, not demo accuracy.

DICOM & Healthcare AI

Medical image annotation for CT, MRI, and X-ray with HIPAA compliance built into the pipeline.

Geospatial & Aerial

Satellite image annotation that tracks change across passes: same location, different time, labeled automatically.

LLMs & AI Agents

LLM training data and RLHF for the human judgment calls your model still needs, at scale.

E-Commerce & Retail

Taxonomy, visual search, search relevance & catalog annotation for F500 Ecommerce & retail setups.

Document Automation

Layout-aware OCR and NER extract structure from PDFs, contracts, and handwritten forms & confidence thresholds flag what still needs a human.

Fraud pattern detection, credit risk signals, and transaction monitoring, annotated by teams trained on financial data, not generalists.

Every annotation type, one pipeline.

twelve tasks, seven data types, one execution layer running all of them

Not sure which pipeline fits your data?
Talk to our team :

Semantic Segmentation

Semantic Segmentation

Pixel-accurate masks for occluded and overlapping objects.

Semantic Segmentation

Text Annotation

Intent, sentiment, and entity tagging on raw, unstructured text.

Semantic Segmentation

Video Annotation

Object tracking through occlusion and re-entry across frames.

Semantic Segmentation

Audio Annotation

Speaker diarization and event tagging on overlapping speech.

Semantic Segmentation

DICOM/Healthcare

Medical Image Segmentation

Structure-level masks on CT, MRI, and X-ray for diagnostic and surgical AI

Semantic Segmentation

Document Annotation

Entity extraction under domain-specific schemas like policy numbers, clause references.

Semantic Segmentation

Bounding Box Annotation

High-volume object localisation for live camera feeds.

Semantic Segmentation

Keypoint Annotation

Skeleton and landmark labeling for pose models tracking motion.

Semantic Segmentation

Multimodal Annotation

Text, image, video, and audio labeled together in one aligned pipeline, not separately then stitched

Semantic Segmentation

Satellite Change Detection

Same location, different pass, structural or land-use change flagged automatically.

Semantic Segmentation

LiDAR/Point Cloud

3D Cuboid Annotation

Volumetric labeling across sparse, sensor-fused point clouds.

Semantic Segmentation

RLHF Annotation

Human preference ranking on model outputs, for reward modeling and fine-tuning.

Execution proven at scale

Numbers that speak for themselves.

800M+

Transactions Total

4832+

Concurrent Users

99.9%

Server Up Time (Azure)

6 Mn

Labeling Hours in

$10Mn +

Saved for Clients

Success stories across every team, data type and tasks

From Enterprises, frontier labs, and startups across industries at production scale.

How a US-Based AI Research Company Scaled Indic Language Audio Annotation to 90%+ Accuracy Across 9 Languages

How a Global E-Commerce Platform Achieved 99%+ Search Relevance with Taskmonk

LiDAR Point Cloud Annotation for Autonomous Mobile Robots

How a Global Retailer Reduced Checkout Shrinkage by 38% Using AI-Powered Video Annotation

View all Case studies

Why AI Teams Choose Taskmonk

With Taskmonk, AI teams stop tooling and start shipping. A single seamless execution layer replaces fragmented vendors & DIY pipelines automation, workforce, and QC, unified.

Before Taskmonk

After Taskmonk

Separate vendors for labeling, QC, and workforce ,none of them talking to each other.

One execution layer: pre-labeling, workflow orchestration, and human review, unified.

Separate tools and vendors per data type: text, image, LiDAR, DICOM, each its own pipeline.

One platform across all seven data types, text, image, video, audio, LiDAR, DICOM, and geospatial.

Every project reinvents its own workflow logic — no shared visibility across the program.

One orchestration layer, configured once, consistent across every project.

Fixed team size, scaled only by a hiring cycle.

Elastic workforce, qualified per task, scaled on demand.

QC bolted on after delivery, errors caught late, if at all.

Quality by design, Maker-Checker and Consensus built into every workflow.

Weeks to onboard a new usecase, data type or vendor relationship.

White-glove onboarding, live in days, not weeks.

Security & Compliance

Built for data you can't afford to leak.

security compliance

Enterprise-Grade Hosting

Secure Azure Cloud with SOC 2, ISO 27001, and HITRUST certification.

Access Control

Role-based access, 2FA, and IP whitelisting on every project.

Data Isolation

Instance-specific data rendering; your data never touches another customer's pipeline.

On-Premise Option

White-glove on-prem deployment for data that can't leave your environment.

HIPAA, SOC 2, ISO 27001, HITRUST. Compliance isn't a checkbox, it's how the pipeline is built.

See our full security and compliance details

Blogs

From the team running your labeling ops

Ecommerce Search Relevance: How to Fix It and Measure It

Ecommerce Search Relevance: How to Fix It and Measure It

Taskmonk Marketing

September 7, 2026

Best Appen Alternatives for Enterprise Data Labeling in 2026

Best Appen Alternatives for Enterprise Data Labeling in 2026

Taskmonk Marketing

August 25, 2026

AI Red Teaming: What It Is and How Labeled Data Powers It

AI Red Teaming: What It Is and How Labeled Data Powers It

Taskmonk Marketing

August 25, 2026

Get your labeling ops right.

Top Robotics, LiDAR, computer vision, Retail and DICOM teams globally already do with Taskmonk. Join them.