AI Training Data Workflow Orchestration, Automated From Intake to Review

Route tasks, enforce quality control & plug into your AI models AI Model Hub with workflows battle-tested across 800 M+ tasks

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No-Code Modules for rapid setups

Drag'n Drop to Build Custom UIs, No Engineering Ticket Required

Labeler Friendly Tasks

Optimize average handling time, minimize the learning curve, and blaze through projects faster.

Role Management

Set privileges, permissions, and milestones for your team, and curate roles for everyone.

Use pre-built templates to configure fields, labels and attributes for a new project

Seamlessly edit and deploy complex agile workflows and labeling efficiency never takes a hit

Codify SOPs so that your labeling team can increase speed, avoid errors and get better ROI

Quality Training Data for Wicked Smart AI

Maker-Checker, Maker-Editor, and Consensus review, tiered by task risk. The same QC discipline robotics and DICOM teams need before a labeled frame reaches production.

Infuse your ML Ops and Data Ops with human intelligence to tackle complex annotations and edge cases, effortlessly.

Increase model accuracy by leveraging our workflow designer for tighter human feedback loops

Generate new ground truth and audit model predictions, to fine-tune your AI's inference

Process Logic

Fine-tune model accuracy with pre-defined numeric logic that avoids human error.

QC Execution Levels

Tier review depth to labeler expertise: light QC where confidence is high, full review where it isn't.

That's how customers slash labeling costs by 26% and increase output by 2X.

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Route Every Task, Automatically, Down to the Field Value

Granular task assignment logic that you won't find anywhere else.

Percentage & Attribute Routing

Route a set percentage of tasks for review, scoped by project, batch, or user, or route by user attribute and field-value match. QC load you set, not a fixed reviewer queue.

Clarification Flow

A dedicated clarifier role fields pre-submission questions before a task ships: ambiguity resolved before it becomes rework.

Predefined & Random Affinity

Route by field value with predefined affinity, or use sticky random affinity so LiDAR annotators stay on LiDAR and CV reviewers stay on CV.

Process Pipeline

Unparalleled feature that links projects across modalities so one stage's output feeds the next stage's input automatically: no manual handoff between labeling, review, and export.

Collaboration that doesn't break the bank.

Skilled Domain Experts, a Few Clicks Away

APIs for Data Export

Export analytics to PowerBI or Tableau so the numbers speak better.

Async Collaboration

Leave feedback, send team messages, and communicate securely with outside teams.

Infuse your ML Ops and Data Ops with human intelligence to tackle complex annotations and edge cases, effortlessly.

Increase model accuracy by leveraging our workflow designer for tighter human feedback loops

Generate new ground truth and audit model predictions, to fine-tune your AI's inference

Nimble - A perfect data diet for ML Models

Taskmonk Nimble collects only the data that enhances your ML model intelligence, supercharging your workflows in real time.

The Companion App every annotation project needs

Choose the data type and collect only the data you want to train

Enrich the collected data with relevant attributes on-the-go for better accuracy

Enhance localised ML training with targeted data collection workflows

Zero Setup Costs, Zero Fingerprinting or Tracking

A dedicated Consent Module blocks work until consent is accepted, privacy-by-design for field teams collecting regulated data.

Create a Project in Taskmonk Web and assign users for the data type to be collected

A seamless background sync transfers the data onto the platform which means you start annotating immediately

Nimble doesn't monetize field data, track devices, or fingerprint users.

Every collection project is scoped to the users assigned to it, gated by the Consent Module, and aligned to GDPR consent requirements, so what's captured goes to one place: training your model.