Where is MangoDesk located?

MangoDesk is headquartered in San Francisco, United States.

Is MangoDesk a funded company?

MangoDesk is a funded company, having raised a total of $***** in its 1st and only funding round.

Where does MangoDesk rank among its competitors?

MangoDesk ranks 29th amongst 64 active competitors, of which 4 are funded. It stands 11th in terms of total funding among its competitors. The most recent competitor to raise funding was xmemory, which secured $4M in Mar, 2026.

Who are the top competitors of MangoDesk?

MangoDesk's top competitors include Vectorize, DataChain and Datavolo. Among them, xmemory secured the most recent funding round in March, 2026.

MangoDesk - 2026 Company Profile, Team & Competitors

MangoDesk is an unfunded company based in San Francisco (United States), founded in 2025 by Ananth Subramanya and Ankith Subramanya. It operates as a Provider of AI-generated annotation pipelines for evals and post-training datasets. MangoDesk has not raised any funding yet. The company has 64 active competitors, including 4 funded and 1 that has exited. Its top competitors include companies like Vectorize, DataChain and Datavolo.

Company Details

Provider of AI-generated annotation pipelines for evals and post-training datasets. The platform lets AI teams describe evaluation or data needs in natural language, then automatically builds bespoke pipelines including interfaces, annotator instructions, routing, and quality checks. Users can bring their own annotators or tap into a vetted contributor pool, manage projects, and export high-quality labeled data for model evaluation and post-training. The company focuses on accelerating data creation workflows for teams training or fine-tuning AI systems in production environments.

Website: mangodesk.com
Email ID: *****@mangodesk.com

Key Metrics

Founded Year

2025

Location

San Francisco, United States

Stage

Unfunded

Ranked

29^th among 64 active competitors

Similar Companies

Vectorize & 62 more

View MangoDesk's full profile

MangoDesk has not raised any funding rounds yet.

The founders of MangoDesk are Ananth Subramanya and Ankith Subramanya.

Here are the details of MangoDesk's key team members:

Ananth Subramanya: Co-Founder of MangoDesk.
Ankith Subramanya: Co-Founder of MangoDesk.

View details of MangoDesk's Founder profiles and Board Members

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Top competitors of MangoDesk include Vectorize, DataChain and Datavolo. Here is the list of Top 10 competitors of MangoDesk, ranked by Tracxn score:

Rank	Company Details	Short Description	Total Funding	Investors	Tracxn Score
1st	Vectorize 2023, Dover (United States), Seed	Vectorize – RAG-as-a-Service that just works	$3.6M	True Ventures	45/100
2nd	DataChain 2018, San Francisco (United States), Unfunded	AI-powered data management platform	-	-	43/100
3rd	Datavolo 2023, Peoria (United States), Acquired	Multimodal data pipelines for AI	$21M	General Catalyst, MVP Ventures & 2 others	34/100
4th	Pixeltable 2016, San Francisco (United States), Seed	Provider of AI data infrastructure for multimodal applications	$5.5M	The General Partnership, South Park Commons ... & 6 others	34/100
5th	Unsiloed AI 2024, San Francisco (United States), Unfunded	Provider of APIs for converting complex, multimodal unstructured data into structured, LLM-ready formats	-	-	30/100
6th	xmemory 2025, London (United Kingdom), Seed	Developer of an AI memory layer for reliable AI workflows	$4M	Inovia Capital, Fly Ventures & 6 others	27/100
7th	Smabbler 2021, Wrocław (Poland), Funding Raised	Developer of automated knowledge graph construction and language processing solutions	-	Next Road Ventures	26/100
8th	BotForge Labs 2024, Chennai (India), Unfunded	Developer of foundation models for embodied AI and robotic systems	-	-	25/100
9th	Yupp 2024, San Francisco (United States), Unfunded	Online platform giving users free access to multiple AI models	-	-	24/100
10th	Gamgee 2025, Ahmedabad (India), Unfunded	Developer of knowledge infrastructure that models complex relationships across data	-	-	24/100
29th	MangoDesk 2025, San Francisco (United States), Unfunded	Provider of AI-generated annotation pipelines for evals and post-training datasets	-	-	16/100