Overview
Asula Labs is a data security platform that uses artificial intelligence to help enterprises protect sensitive information while enabling AI development. It scans and classifies data across data stores such as Snowflake, Databricks, and S3, then enforces security and privacy policies so only authorized users can access specific data and in ways that comply with regulations. A distinctive feature is generating privacy-preserving copies of data, which lets data science and engineering teams build and test AI models on realistic data without exposing the real sensitive details. The company operates on a B2B model targeting large enterprises that want to leverage AI and large language models securely, backed by investors like Y Combinator. The goal is to let organizations unlock the value of their data for AI applications without compromising privacy or compliance.
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Simplify's take
What believers are saying
- Simplify job posts updated November 2026 show active hiring across engineering roles.
- LinkedIn listed 1–10 employees in October 2026, keeping burn low.
- Y Combinator backing and roughly $6.7 million financing support runway.
What critics are saying
- No public customer logos or product documentation confirm real enterprise adoption.
- Search results conflate Asula Labs with bitcoin and geospatial firms, weakening brand discoverability.
- Competing against Immuta, Varonis, and Microsoft Purview compresses pricing and margins.
What makes Asula Labs unique
- Akshat Jain and Ankur Jain combine Meta, Microsoft, and large-scale data systems experience.
- Privacy-preserving data copies let teams train AI without exposing raw sensitive records.
- Snowflake, Databricks, and S3 coverage fits modern enterprise data estates.
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