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
For Project Managers

One Command Centre, quietly versatile

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

Spend Analytics

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

A/B Tests

Test data set outputs with different teams for proficiency
How Taskmonk helped a leading food aggregator localise their AI chatbot responses, increasing consumer retention by 3X
SEND ME THE CASE STUDY

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 a F500 enterprise used Taskmonk to scale a 750 member labeling team across 4 locations and saved $300K in 3 years
SEND ME THE CASE STUDY
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
Enrich data batches with APIs in real time by augmenting from multiple DBs and usingpre-trained models
Leverage human intelligence to handle custom annotations and any edge cases
For Annotation Teams

Annotator Centric at its core

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

Project Specific UI

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

Standardised Guidelines

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