Oasis Labs
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.
- Company typePrivate
- Founded2018
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
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.
Oasis Labs firmographics
Firmographics- 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
Oasis Labs industry classification
Industry- 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
Where Oasis Labs is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Oasis Labs business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
Revenue model
- 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.
- 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
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise tier with custom pricing |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels4 records
Oasis Labs product offering
Product offeringCore 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.
Companies that use Oasis Labs
Customer profileNamed customers1 record
Segments4 records
Ideal customer profiles4 records
Oasis Labs technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration1 record
AI capability4 records
Feature5 records
Oasis Labs partnerships and signals
Strategic signalPartnerships
Five partnerships are on record, tiered core, flagship and strategic.
- EquifaxcoreInnovative 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 CloudcoreOasis 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.
- MetaflagshipFirst-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 GroupstrategicEarly-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 HealthCarecoreWorking 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
Oasis Labs competitors and assessment
Company assessmentDirect 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
Oasis Labs social profiles
Digital presenceOasis Labs compliance and trust
Trust signalCompliance1 record
Oasis Labs financial estimates
Financial estimateRevenue estimate
Valuation estimate
Oasis Labs leadership team
Management profileNumber of profiles
Profiles3 records
Oasis Labs funding detail
Funding detailFunding overview
Funding rounds7 records
Investors39 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Oasis Labs M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Oasis Labs
What does Oasis Labs do?
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.
Is Oasis Labs a public or private company?
Oasis Labs is a private company. It is classified as venture growth investor backed and is currently operating.
When was Oasis Labs founded?
Oasis Labs was founded in 2018. It employs 11 to 50 people.
Where is Oasis Labs based?
Oasis Labs is headquartered in San Francisco, United States, in the North America region.
How does Oasis Labs make money?
Two revenue lines are on record. PrivateSQL Software Subscription is the primary driver. The others are privacy Software and Services.
Who are Oasis Labs's main competitors?
Direct peers on record are TripleBlind, Duality Technologies, Tumult Labs, Enveil and Apheris. Emerging players are OpenMined, InfoSum and Skyflow. Broad incumbents are Privacera and Immuta.
Does Oasis Labs have an API?
Yes. PrivateSQL offers a REST API for querying SQL databases with differential privacy guarantees. The API automatically rewrites queries to be differentially private, enables specification and tracking of privacy budgets across teams and external parties, and supports self-enforcement by automatically rejecting queries that expose sensitive records or violate column access rules. Available interfaces include REST API, Jupyter Notebooks clients, and Intuitive CLI. Developer documentation is at docs.oasislabs.com.
What industry is Oasis Labs in?
Oasis Labs's product category is Data Privacy Software. Its primary akta.pro industry code is HDAAAKAI, Confidential AI & Privacy-Preserving ML (federated learning, MPC, HE, TEEs), with a secondary code of HDAAAMAD, Privacy-Preserving ML & Data Protection (e.g., federated learning, differential privacy). Its NAICS code is 5132 and its SIC code is 7372.