Oasis Labs

What Oasis Labs does

Oasis Labs, Inc. is a San Francisco-based private company founded in 2018 that builds a privacy-first cloud computing platform combining Differential Privacy, Multi-Party Computation, Homomorphic Encryption, and Zero-Knowledge Proofs. Its product portfolio is centered on two offerings. PrivateSQL is a differential privacy layer for SQL databases that automatically rewrites aggregate queries (COUNT, SUM, AVG, VAR, STDDEV, PERCENTILE, MIN, MAX, JOINs) to inject calibrated noise, tracks privacy budgets across teams and external parties, and self-enforces column-level access rules without manual whitelisting. Privacy-Preserving AI is a parallel product that uses the same cryptographic stack plus Zero-Knowledge range proofs to measure fairness and bias in AI models against sensitive demographic data without exposing user records, with a flagship deployment validating the system at Meta's scale.

The company is led by founder Dawn Song (a UC Berkeley professor in AI and security), co-founder and COO Bobby Jaros, and CPO and co-founder Noah Johnson. Oasis Labs monetizes through enterprise subscriptions on a quote-based pricing model with annual billing, and distributes PrivateSQL via the Google Cloud Marketplace for cloud-native deployment alongside direct enterprise field sales and self-serve developer onboarding through public documentation. The customer base spans healthcare (OSF HealthCare, with PrivateSQL certified HIPAA compliant under the expert determination clause), AI/ML organizations (Meta), Web3 and crypto (Equifax KYC partnership), and automotive (BMW Group), positioning the company as a horizontal privacy primitive rather than a single-vertical SaaS.

Name

Oasis Labs

Legal name

Oasis Labs, Inc.

Website

https://oasislabs.com

Company type

Private

Founded year

2018

Operating status

Operating

Headcount range

11–50 employees

Short description

Oasis Labs builds privacy-preserving data analytics and AI fairness assessment software using differential privacy, MPC, homomorphic encryption, and zero-knowledge proofs, selling to healthcare, AI, Web3, and automotive enterprises via subscriptions and the Google Cloud Marketplace.

Ownership category

akta.pro rank

Product category

Data Privacy Software

NAICS

Software Publishers (5132), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518)

SIC

Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Processing & Data Preparation (7374)

akta.pro primary industry

Confidential AI & Privacy-Preserving ML (federated learning, MPC, HE, TEEs) (HDAAAKAI)

akta.pro secondary industries

Privacy-Preserving ML & Data Protection (e.g., federated learning, differential privacy) (HDAAAMAD), AI Privacy Engineering & Data Governance (PII, consent, retention) (HDAAAKAB), Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG), Data Security & Privacy for Cloud (DLP, DSPM, Tokenization) (HDABAHAK), Data Privacy, Confidentiality & Statistical Disclosure Control (HLAJAJAN)

Keywords

• Differential privacy software
• Privacy-preserving analytics
• AI fairness assessment
• Secure data collaboration
• Privacy-enhancing computation

Headquarters

HQ city

San Francisco

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure

Revenue model

1. PrivateSQL Software Subscription: Cloud-based differential privacy service for SQL databases, available via Google Cloud Marketplace. Organizations pay for access to the PrivateSQL platform enabling privacy-preserving aggregate queries on their SQL databases.
2. Privacy Software and Services: Privacy software and services designed for developers, companies, and institutions to enhance data privacy, security, and compliance within their applications and services.

Pricing tiers

Go-to-market motion2 records

Distribution channels3 records

Marketing channels4 records

Core offering

Oasis Labs provides a privacy-preserving data analytics and AI software platform. Its flagship product, PrivateSQL, applies differential privacy to aggregate SQL queries (COUNT, SUM, AVG, VAR, STDDEV, PERCENTILE, MIN, MAX and JOINs) by automatically rewriting queries with calibrated noise, while its Privacy-Preserving AI offering combines MPC, Homomorphic Encryption, Differential Privacy, and Zero-Knowledge Proofs to assess fairness and bias in AI models using sensitive demographic data without exposing it.

Product overview

Oasis Labs provides a dual-product portfolio centered on privacy-preserving data technology. PrivateSQL is a differential privacy layer for SQL database analytics that enables organizations to run aggregate queries (COUNT, SUM, AVG, VAR, STDDEV, PERCENTILE, MIN, MAX) with mathematical privacy guarantees, automatically rewriting queries and tracking privacy budgets. Privacy-Preserving AI complements this by enabling fairness and bias assessment in AI models using cryptographic technologies (MPC, Homomorphic Encryption, Differential Privacy, Zero-Knowledge Proofs). Together, these products address the full spectrum of privacy-preserving data analytics and AI model accountability.

Differentiator

Problem solved

Functional benefit

Products and services

• PrivateSQL PrivateSQL is a differential privacy solution for aggregate SQL queries that automatically rewrites queries (COUNT, SUM, AVG, VAR, STDDEV, PERCENTILE, MIN, MAX, JOINs) with calibrated noise, tracks privacy budgets across teams and external partners, and self-enforces privacy by rejecting queries that would expose sensitive records. It is targeted at organizations that need to run analytics on sensitive SQL data and is available on Google Cloud Marketplace with HIPAA expert determination certification.
• Privacy-Preserving AI Privacy-Preserving AI is a platform that combines Multi-Party Computation, Homomorphic Encryption, Differential Privacy, and Zero-Knowledge Proofs to enable organizations to assess the efficacy, fairness, and bias of AI models using sensitive demographic data without revealing the underlying user data to any party. It is targeted at enterprises operating AI/ML models that must demonstrate fairness and inclusiveness.

Named customers1 record

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration1 record

AI capability4 records

Feature5 records

Partnerships

Five partnerships are on record, tiered core, flagship and strategic.

• EquifaxcoreStrategic or Co-development Partner · 26 October 2022Innovative identity and Know Your Customer (KYC) solution for Web3, helping facilitate compliance, prevent fraud, and build trust. Partnership announced via Fortune article on October 26, 2022.
• Google CloudcoreTechnology or IntegrationOasis Labs partnered with Google Cloud to pioneer differential privacy in data analytics and AI. PrivateSQL is now live on the Google Cloud Marketplace, enabling organizations to deploy state-of-the-art differential privacy technology directly within Google Cloud environments for responsible use of sensitive data in AI and analytics.
• MetaflagshipStrategic or Co-development PartnerFirst-of-its-kind initiative enabling inclusiveness and fairness for Meta's AI models using cutting-edge privacy technologies. Oasis Labs, in partnership with Meta, designed and built a groundbreaking system for measurement of fairness and possible bias in AI models using sensitive demographic information without revealing user data to any entity.
• BMW GroupstrategicStrategic or Co-development PartnerEarly-stage project with The BMW Group to build the next generation of data privacy technology. Initiative aims to leverage differential privacy for automotive data applications.
• OSF HealthCarecoreStrategic or Co-development PartnerWorking closely with Oasis Labs, OSF Innovation pioneered new approaches to data privacy in healthcare. Differential privacy technology is a cornerstone of their joint effort to responsibly use patient data and improve outcomes for patients everywhere. OSF HealthCare is certified HIPAA compliant under the expert determination clause.

Scale indicators1 record

Recent moves6 records

Expansion highlights6 records

Direct peers

• TripleBlind: TripleBlind offers a privacy-preserving computation platform for AI and analytics using federated learning and cryptographic techniques. It is the closest direct competitor in privacy-preserving ML on sensitive enterprise data, with overlapping customer use cases in healthcare and regulated industries.
• Duality Technologies: Duality Technologies provides a privacy-enhanced data collaboration platform using homomorphic encryption and secure multiparty computation for enterprise data sharing. It directly overlaps with Oasis Labs' MPC/HE-based offering and serves similarly regulated verticals including healthcare and government.
• Tumult Labs: Tumult Labs is a differential-privacy-focused platform for analytics on sensitive data, developed by the original Tumult team from Harvard. It is a direct technical competitor to PrivateSQL with overlapping target use cases in government statistics and enterprise analytics.
• Enveil: Enveil delivers privacy-preserving search and analytics using Fully Homomorphic Encryption, enabling encrypted data operations without decrypting inputs. It competes directly in the privacy-preserving enterprise analytics category where Oasis Labs' PrivateSQL operates.
• Apheris: Apheris offers a federated learning and privacy-preserving computation platform for life sciences and healthcare, sharing Oasis Labs' focus on regulated verticals and cryptographic ML. It is an emerging European competitor targeting similar buyer personas.

Emerging players

• OpenMined: OpenMined is an open-source community building federated learning and privacy-preserving ML tooling. While more community-driven than commercial, it represents the open-source competitive surface for Oasis's privacy-preserving AI offering.
• InfoSum: InfoSum provides a privacy-safe data clean room for cross-organization collaboration and audience analytics. It overlaps with Oasis's partner-studies and external-data-sharing use cases, particularly in advertising and marketing data collaboration.
• Skyflow: Skyflow offers a data privacy vault with tokenization and polymorphic encryption for sensitive customer data, primarily serving fintech and healthcare. It addresses a related but distinct subset of privacy-preserving data workflows versus Oasis's differential privacy and MPC focus.

Broad incumbents

• Privacera: Privacera provides unified data security and governance built on Apache Ranger, serving large enterprises with data access policy and masking capabilities. It addresses overlapping buyer pain points around compliant data sharing, though with less emphasis on differential privacy guarantees.
• Immuta: Immuta is a more established data security and governance platform with policy-based access control and de-identification. While it does not deeply focus on differential privacy or MPC, it competes in adjacent privacy/governance budgets at regulated enterprises.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks5 records

Key highlights6 records

Customer concentration

• GitHubgithub.com/oasislabs
• Xx.com/OasisLabs
• LinkedInlinkedin.com/company/oasis-labs

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Funding overview

Funding rounds7 records

Investors39 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Oasis Labs