We’re Ankith and Ananth, brothers and co-founders of MangoDesk.

We help AI teams accelerate the creation of custom evals and post-training data by generating bespoke annotation pipelines in seconds. Bring your own annotators or leverage MangoDesk’s expert pool of annotators with the click of a button.

Demo: https://www.youtube.com/watch?v=87orKYBru9A

Problem: If you’re looking to create custom evals or post-training data, you have two options -

1. Managing the whole effort in-house, which takes weeks building custom interfaces, writing instructions, sourcing/managing annotators, and wiring review/QA—slowing launches and hurting data quality.
2. Working with a big box data labelling company, which comes with expensive back and forth, long turnaround times, and a lack of transparency and control.

We think creating evals and post-training data should be as simple as describing what you’re looking for in natural language, and that’s why we built MangoDesk.

If you’re creating evals, training your own models or running data annotation ops and would like to accelerate your efforts, get in touch!

Email: founders@mangodesk.com

Book a demo: https://calendly.com/mangodesk/30min

How MangoDesk works.

• Describe your custom eval or data needs in natural language; MangoDesk auto‑generates the annotation pipeline - not just the interface, but also all the little details like annotator instructions and QA systems to ensure your data is of high quality. Make updates via natural language.
• Bring your own annotators or leverage our vetted pool of experts, with one click. We ensure that annotators are set up to be productive and do their best work
• Download your dataset when it’s ready, and rest easy in the meantime

About Us: Ankith (CEO; ex‑Scale AI) built GenAI data labeling infrastructure at Scale AI. Ananth (CTO; ex‑Founder 7‑figure ARR) built AI systems for Fortune 500s.