Oasis Labs
Palo Alto, US · Founded 2018 · Delaware corporation · 26 known investors
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Oasis Labs develops privacy-preserving data analytics and AI tools using differential privacy, homomorphic encryption, and zero-knowledge proofs for organizations that need to analyze sensitive data while protecting individual privacy. The platform serves enterprises, AI teams, and regulated organizations across healthcare, finance, and technology sectors.
Also known as Oasis Labs, Inc.
Founders & leadership
Oasis Labs was founded in 2018 by Dawn Song, Bobby Jaros, Noah Johnson, and Raymond Cheng.
Investors · 26
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Reported raises · per SEC filings
Form D private placements$30.2M disclosed across 2 rounds · 2018–2020
▶$3MraisedMar 2020 · 5 investors · Other TechnologyRule 506(c)
- Dawn SongExecutive Officer, Director
- David WuDirector
- Offering amount
- $3M
- Amount sold
- $3M
- First sale
- Feb 2020
- Incorporated
- Corporation, Delaware, 2018
- Federal exemptions
- 06c
▶$27.2MraisedMay 2018 · 42 investors · Other TechnologyRule 506(b)
- Robert Gilchrist JarosExecutive Officer
- Xiaodong SongExecutive Officer, Director
- Offering amount
- $60M
- Amount sold
- $27.2M
- First sale
- May 2018
- Incorporated
- Corporation, Delaware, 2018
- Federal exemptions
- 06b
Source: SEC EDGAR Form D. Amounts as filed; amended filings shown once at their latest values.
Company profile
researched Aug 2026Oasis Labs builds privacy-preserving data and artificial intelligence technology based on a combination of cryptographic and statistical techniques, including differential privacy, secure multi-party computation, homomorphic encryption and zero-knowledge proofs. Its stated aim is to let organizations run analytics and machine learning workloads on sensitive data without exposing individual records to any single party.
The company's product line includes PrivateSQL, privacy-preserving AI tooling, and an encrypted smart contract platform. It has also been described as a privacy-first cloud computing platform built on blockchain technology, intended to support cloud-scale applications with decentralized trust and privacy protection. Reported collaborators include Google Cloud, Meta, BMW Group and Equifax.
A representative deployment is a system built with Meta for measuring fairness and possible bias in AI models. The design combines highly sensitive demographic attributes held by one party with model classification and regression outputs held by another, using multi-party computation, homomorphic encryption, differential privacy and zero-knowledge range proofs, so that user data is not revealed and measurement results are visible only to the organization that owns the models. The system is described as operating at the scale of millions of users.
Founding story
Oasis Labs was founded in 2018 by UC Berkeley professor Dawn Song, who serves as Founder and CEO, with co-founders Bobby Jaros (COO), Noah Johnson (CPO) and Raymond Cheng (CTO).
Business model
Oasis Labs supplies privacy-preserving data and AI technology to organizations that need to compute on sensitive data, delivering it through products such as PrivateSQL, privacy-preserving AI tooling and an encrypted smart contract platform, and through joint engineering engagements with large enterprises and platform partners.
Traction
Reported working relationships with Google Cloud, Meta, BMW Group and Equifax; a fairness-measurement system built with Meta operating at the scale of millions of users; and a team of about 40 employees across San Francisco and New York.
▸Full profile — market position, technology, go-to-market, geography, history
Market position
Oasis Labs is positioned in the privacy-preserving computation and blockchain segment, tracked alongside companies such as Aleo, Civic, Phala and Findora, and is backed by a broad investor base that includes a16z crypto, Accel, Pantera Capital, Polychain Capital, Lux Capital, Salesforce Ventures and Winklevoss Capital.
The company combines several privacy technologies — multi-party computation, homomorphic encryption, differential privacy and zero-knowledge proofs — in a single system so that sensitive inputs and model outputs held by different parties can be jointly analyzed at large scale without either side disclosing its data, and it pairs this with an encrypted smart contract platform and blockchain-based confidential cloud computing.
Technology
The technology stack draws on differential privacy, secure multi-party computation, homomorphic encryption and zero-knowledge proofs, including zero-knowledge range proofs. These primitives underpin an encrypted smart contract platform, the PrivateSQL product and privacy-preserving AI tooling, and are described as supporting privacy-protected measurement across millions of users.
Go-to-market
Oasis Labs reaches customers through direct enterprise engagements and co-designed deployments with large platform and industry partners, including Google Cloud, Meta, BMW Group and Equifax.
Enterprises and large organizations that need to analyze sensitive or regulated data, including technology platforms, automotive and consumer credit companies such as Meta, Google Cloud, BMW Group and Equifax.
Geography
The company is listed with a San Francisco, California headquarters and a second United States location in New York.
History
The company was founded in 2018 by UC Berkeley professor Dawn Song, together with Bobby Jaros, Noah Johnson and Raymond Cheng, and introduced itself publicly in a November 2018 post from the Oasis Labs team. It subsequently built out an encrypted smart contract platform and privacy-preserving AI products, and worked with partners including Google Cloud, Meta, BMW Group and Equifax. A Binance Labs-backed $200M Oasis Ecosystem Fund was reported in January 2022.
Compiled by commissioned research from 6 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Timeline · 1
launches, deals, and filingsOasis Labs worked with Meta to design and build a system for measuring fairness and possible bias in AI models, combining multi-party computation, homomorphic encryption, differential privacy and zero-knowledge range proofs so that sensitive demographic data is not revealed to any party and model measurements are known only to the model owner.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
Legal entities · 1
corporate structureIn the news
▸Research sources · 6
primary sources listed
- Research Peptides for Sale | 99%+ Purity | Oasis Labsmyoasislabs.com · web
6 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Oasis Labs do?
- Oasis Labs builds privacy-preserving data and AI technology using differential privacy, MPC, homomorphic encryption and ZK proofs.
- Who founded Oasis Labs?
- Oasis Labs was founded by Dawn Song, Bobby Jaros, Noah Johnson, Raymond Cheng in 2018.
- Who are Oasis Labs's investors?
- Oasis Labs's investors include 1k(x), 1kx, 500 Global, Amino Capital, Andreessen Horowitz, AngelONE Capital, Ausum Ventures, Blockchain Capital and 18 more.
- How much funding has Oasis Labs raised?
- Oasis Labs has disclosed $30.2M raised across 2 rounds.
- Where is Oasis Labs headquartered?
- Oasis Labs is headquartered in Palo Alto, US.