Powerful features

but not overwhelming

to glide through annotation projects.

We understand the complexity in training raw data
Which is why Taskmonk is built for every stakeholder, ensuring top notch training data, every time
For Project Managers
to effortlessly achieve optimal output, scale operations and blaze through datasets faster.
For Data Scientists
to get accurate training data, across data and annotation types, with seamless ML Ops integration.
For Annotation Teams
outsourced, in-house or hybrid to eliminate siloed working, embrace skill based task assignment with multi-level QA.
We understand the complexity in training raw data, which is why, Taskmonk is built for every stakeholder, ensuring top notch training data, every time.
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For Project Managers

One Command Centre, quietly versatile

Onboard new teams, deploy local instances and accommodate dynamic project changes, seamlessly
Onboard new teams, deploy local instances and accommodate dynamic project changes, seamlessly.
No-code and low-code setups: the goodness of drag'n drop supercharged with custom code.
Bring global teams together, with secure communications and real time progress analytics.
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Spend Analytics

Gather insights on handling time, active tasks and eliminate roadblocks for better ROI.

A/B Tests

Test dataset outputs with different teams for proficiency.
How An e-Commerce Titan Cut Costs By $930k In 15 Days With Taskmonk
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Spend Analytics

Handle large datasets and experience massive ROIs through economies of scale.

A/B Tests

Active learning, version control , advanced semantic annotation, and much more.
How an Industrial tech giant slashed customer activation time from 2 hours to 10 minutes with taskmonk
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For Data Scientists

A Platform that keeps pace with your AI

Cut your time spent in training data with customisable QC validation and review workflows
Cut your time spent in training data with customizable QC validation and review workflows.
Enrich data batches with APIs in real time by augmenting from multiple DBs and using pre-trained models.
Leverage human intelligence to handle custom annotations and any edge cases.
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For Annotation Teams,

Annotator Centric at its core

Customisable hotkeys and shortcuts to reduce annotator learning curve and cognitive load
Customizable hotkeys and shortcuts to reduce annotator learning curve and cognitive load.
Integrated Multi-level QA to minimize labeler rework and enhance quality & efficiency.
Built in communication channels and collaboration modules for better accurate feedback.

Project Specific UI

Design custom UIs with localized languages and project workflows suited best for each annotation team.

Standardized Guidelines

Easily accessible repository of training modules and project guidelines to ace labeling projects.

A heading about blogs and such

7 Signs that your AI data labeling operations need an upgrade
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Transforming eCommerce Catalog Management through AI adoption
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Eliminate AI bias through accurate data labeling
Combating Tool Sprawl in Enterprises through No Code solutions
Smart Merchandising: The ground zero for Retail AI
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