Sarus
Sarus is a Paris-based privacy middleware platform that lets data scientists run analytics and machine learning on sensitive datasets without direct access, using differential privacy. It serves enterprises across finance, healthcare, marketing, and the public sector.
- Company typePrivate
- Founded2020
- HeadquartersParis, France
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Sarus does
Sarus Technologies is a Paris-based privacy middleware company founded in 2020 that enables data scientists and analysts to run analytics and machine learning on sensitive datasets without direct access to the underlying records. The platform is built on a differential privacy foundation, combining mathematical guarantees (epsilon/delta accounting via recursive DP compilation and Privacy Unit tracking) with privacy-preserving synthetic data generation from generative AI models and an on-the-fly SQL query rewriter (Qrlew) that transforms standard queries into differentially private equivalents. The core product surfaces include the Sarus privacy platform, SarusLLM for DP-SGD fine-tuning of open-source LLMs (Mistral, Llama 2), Sarus Activate for privacy-safe data actioning, and a Secure Data Cleanroom for multi-party data collaboration. Deployment options span Docker and Kubernetes on-premises or major public clouds, with an Azure Confidential Clean Rooms integration announced at Microsoft Ignite 2024 providing a two-layer defense-in-depth architecture.
The company operates a B2B enterprise software model with subscription/multi-year contract pricing that is quote-based rather than publicly disclosed, supplemented by a self-serve demo environment (demo.sarus.tech) for technical evaluation. Go-to-market combines direct enterprise sales (targeting finance, healthcare, marketing, and public-sector buyers) with ecosystem-led distribution through integrations with Microsoft Azure, Snowflake, Databricks, MongoDB, BigQuery, Metabase, Tableau, Mistral, Llama 2, and OpenAI/Anthropic APIs, plus partnerships with Dataiku, EY, Google for Startups AI First, and the European Innovation Council's ELSA Innovation Lab. Documented customers include EY (AML transaction monitoring), CHUV (medical research), ACPR (French Prudential Supervision and Resolution Authority for multi-bank financial crime analytics), Hôpital Foch, Société Générale, EDF, Artefact, Medicen, and May App (DP-fine-tuned LLM for pediatric Q&A).
The company was founded by Maxime Agostini (CEO), Nicolas Grislain (CSO), and Vincent Lepage (CTO), who previously cofounded AlephD, acquired by Verizon Media in 2016. Funding to date comprises a €2M seed round led by Serena with XAnge in April 2020, Y Combinator participation (~$500K) in April 2022, a Bossa Invest / Team Ignite Ventures round in October 2022, and selection for the EIC Accelerator program in January 2024, alongside grants such as the ELSA Industry Call win in 2024. The company is privately held, headquartered at 128 rue La Boétie, 75008 Paris, and operates as a société par actions simplifiée (RCS B 879 906 055) with a small team (1-10 employees) actively hiring across engineering, data science, business development, and marketing functions.
Sarus firmographics
Firmographics- Name
- Sarus
- Legal name
- Sarus Technologies
- Website
- https://sarus.tech
- Company type
- Private
- Founded year
- 2020
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Sarus is a Paris-based privacy middleware platform that lets data scientists run analytics and machine learning on sensitive datasets without direct access, using differential privacy. It serves enterprises across finance, healthcare, marketing, and the public sector.
- Ownership category
- akta.pro rank
Sarus industry classification
Industry- Product category
- Privacy-Enhancing Technology / Data Privacy Software
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518), Computer Systems Design and Related Services (54151)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Integrated Systems Design (7373), Services-Computer Processing & Data Preparation (7374)
- akta.pro primary industry
- Data Privacy, Consent & Compliance Management (HDAEADAG)
- akta.pro secondary industries
- Data Security & Privacy for Cloud (DLP, DSPM, Tokenization) (HDABAHAK), Data Security & Access Governance for Data (Entitlements/Policy Enforcement) (HDAEADAH), Privacy Management (Consent, DSAR, RoPA) (HDADAFAH)
Keywords
Where Sarus is headquartered
LocationHeadquarters
- HQ city
- Paris
- HQ country
- France
- HQ region
- Europe
Offices1 record
Markets served
Sarus business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- Enterprise Software Licenses: Enterprise deployment of the Sarus privacy platform. Organizations deploy Sarus in minutes using Docker or Kubernetes on-premises or in their public cloud. Pricing appears quote-based for enterprise deployments.
- Cloud-based Platform Access: SaaS deployment option alongside on-premises deployment, with integration into Azure, Google Cloud, and other cloud platforms.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Multi-year contract | Enterprise deployment with custom pricing |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels8 records
Sarus product offering
Product offeringCore offering
Sarus is a privacy middleware platform that enables data scientists and analysts to query sensitive datasets without ever accessing the underlying data directly. Built on differential privacy, privacy-preserving synthetic data generation, and on-the-fly query rewriting (via its Qrlew technology), the platform supports SQL, Python/pandas/sklearn workflows and privacy-preserving LLM fine-tuning (SarusLLM). Deployable on-premises or in any major public cloud via Docker or Kubernetes, it is used for multi-party data collaboration, data cleanrooms, and privacy-safe analytics across finance, healthcare, marketing, and public sector organizations.
Product overview
Sarus is a privacy middleware platform positioned as 'The Privacy Layer for Analytics & AI.' The core platform provides differential privacy, synthetic data generation, and query rewriting capabilities that sit between data consumers and sensitive data sources. The primary product is the Sarus privacy platform, with SarusLLM as the dedicated module for privacy-preserving LLM workflows. Supporting capabilities include the Python SDK for developers, Qrlew (open-source SQL rewriting library), Arena (open-source LLM framework), and DP-XGBoost (open-source ML library). Key use-case products include Secure Data Cleanroom for multi-party collaboration, Data Portal for data democratization, Activate for privacy-safe data actioning, and High-Fidelity Test Data for development. The platform integrates with Azure Confidential Clean Rooms, cloud data warehouses (Snowflake, BigQuery), databases (MongoDB, PostgreSQL), BI tools (Metabase, Tableau), and LLM providers (Mistral, Llama, GPT, Claude).
Differentiator
Problem solved
Functional benefit
Brands
- Qrlew: Open-source library that functions as a SQL-to-SQL rewriter, transforming standard SQL queries into differentially private versions
- SarusLLM
- Sarus Activate
- Sarus-AI
Products and services
- Sarus Privacy Platform (Core Platform) Core privacy middleware platform enabling data scientists and analysts to query sensitive data without direct access. Uses differential privacy, synthetic data, and query rewriting to guarantee privacy-by-design while preserving data utility for analytics and AI workflows. Deployable on-premises or in any public cloud via Docker or Kubernetes.
- SarusLLM Privacy layer for large language models enabling fine-tuning of open-source LLMs (Mistral, Llama 2) on private data with differential privacy guarantees. Includes clean room for LLM projects and differentially-private LLM fine-tuning as main capabilities.
- Sarus Activate Feature enabling data scientists to push selected user or transaction-level information to external trusted endpoints (e.g., compliance systems, marketing tools) without ever viewing the underlying private data.
- Python SDK Python SDK for privacy-preserving data science enabling data exploration, preprocessing, model training, and inference without exposing sensitive data. Supports pandas, sklearn, and integration with standard ML/BI tools.
- Qrlew (Open-Source SQL Rewriter) Open-source Python library that rewrites standard SQL queries into differentially private SQL equivalents. Uses proprietary Intermediate Representation called 'Relation' and advanced range propagation techniques (k-Intervals, Piecewise-Monotonic Functions).
- DP-XGBoost (Open-Source) Open-source fork of XGBoost enabling privacy-preserving gradient boosted tree training with differential privacy guarantees at scale.
- Arena (Open-Source LLM Framework) Open-source Python framework for building privacy-preserving LLM applications, including PII replacement utilities for OpenAI, Mistral, and Anthropic APIs.
- Secure Data Cleanroom Multi-party data collaboration environment where multiple organizations pool data and grant query-only access. Analysts from each party access only privacy-safe insights without risk of leaking confidential or personal data.
- Sarus Data Portal Data democratization feature enabling data consumers to explore available datasets, preview synthetic data samples, and define extracts for their analytics needs without privacy risk.
Quantifiable outcome
- 96.1% accuracy for disease prediction and 94.6% accuracy for drug prediction with fine-tuned Mistral 7B model using differential privacy
- +2 more outcomes
Companies that use Sarus
Customer profileNamed customers6 records
Segments7 records
Ideal customer profiles5 records
Sarus technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration12 records
AI capability10 records
Feature9 records
Sarus partnerships and signals
Strategic signalPartnerships
Seven partnerships are on record, tiered flagship and notable.
- Microsoft AzureflagshipSarus launched on Azure Confidential Clean Rooms enabling multi-party data collaboration with hardware-level protection and automated privacy enforcement. Announced at Microsoft Ignite 2024 in Chicago.
- EYflagshipPartnership with EY for pooling financial transaction data to address financial crime. EY provides domain expertise while Sarus provides privacy technology for multi-party data analysis.
- Lindsey AllennotableLindsey Allen, VP of Engineering and GM of Azure-Databricks AI & Innovations at Microsoft, joined as advisor bringing 30+ years of experience in data and AI.
- ELSA (European Language Resources Association)notableELSA Innovation Lab collaboration extending Sarus capabilities with Private LLM Fine-Tuning with advice from world-class AI researchers within ELSA and ELLIS networks.
- Google (AI First Program)notableSelected for Google for Startups Accelerator AI First program providing mentorship and resources for AI-focused startups.
- DataikunotablePartnership with Dataiku to offer privacy-safe LLMs for healthcare applications, combining Dataiku's data science platform with Sarus's privacy layer.
- MongoDBnotableMongoDB integration enabling privacy-safe AI and analytics on MongoDB healthcare data, providing data connectors for NoSQL data sources.
Scale indicators5 records
Recent moves6 records
Expansion highlights7 records
Sarus competitors and assessment
Company assessmentDirect peers
- Gretel.ai: Gretel.ai is a synthetic data and privacy-preserving AI platform that lets developers generate differentially private synthetic data and fine-tune models. It is one of the closest direct competitors to Sarus's synthetic-data + DP-SGD offering.
- Tonic.ai: Tonic.ai provides synthetic data and data masking for software development, testing and analytics. It competes directly with Sarus's synthetic data, test data and privacy-safe analytics use cases.
- Mostly AI: Mostly AI is a synthetic data platform with strong statistical fidelity, including for multi-table relational data. It directly competes with Sarus's differentially private synthetic data generation across finance and healthcare.
- Hazy: Hazy is an enterprise synthetic data vendor focused on banking and financial services. It overlaps with Sarus's financial services and privacy-safe analytics positioning, particularly for AML and fraud-adjacent workflows.
- TripleBlind: TripleBlind offers privacy-preserving computation across enterprises using cryptographic and statistical techniques. It is a direct peer in the privacy-enhancing technologies space targeting regulated industries.
- Duality Technologies: Duality Technologies provides privacy-enhanced data collaboration based on homomorphic encryption and secure computing, directly competing with Sarus's secure multi-party data collaboration and cleanroom use cases.
- Enveil: Enveil delivers secure search and analytics over encrypted data using homomorphic encryption and other PETs. It competes with Sarus on privacy-preserving analytics against sensitive enterprise datasets.
- Statice: Statice (now part of Roche) provides privacy-preserving synthetic data generation for healthcare and life sciences, overlapping directly with Sarus's healthcare-focused synthetic data and DP-LLM offerings.
Broad incumbents
- Microsoft (Azure Confidential Compute / Purview): Microsoft provides Azure Confidential Computing, Purview DLP, and integrated DP tooling that overlap with Sarus's privacy layer. While Sarus is also a Microsoft partner, Microsoft is also a broad incumbent whose native capabilities compete with Sarus in many deals.
- Google Cloud (BigQuery / Vertex AI DP): Google Cloud offers differential privacy in BigQuery and data governance tooling that overlaps with Sarus's query rewriting and privacy guarantees, positioning Google as a broad incumbent alternative for analytics buyers.
Market position
Strengths4 records
Weaknesses5 records
Competitive moat6 records
Key risks7 records
Key highlights7 records
Customer concentration
Sarus social profiles
Digital presenceSarus financial estimates
Financial estimateRevenue estimate
Valuation estimate
Sarus leadership team
Management profileNumber of profiles
Profiles5 records
Sarus funding detail
Funding detailFunding overview
Funding rounds5 records
Investors8 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Sarus 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 Sarus
What does Sarus do?
Sarus is a privacy middleware platform that enables data scientists and analysts to query sensitive datasets without ever accessing the underlying data directly. Built on differential privacy, privacy-preserving synthetic data generation, and on-the-fly query rewriting (via its Qrlew technology), the platform supports SQL, Python/pandas/sklearn workflows and privacy-preserving LLM fine-tuning (SarusLLM). Deployable on-premises or in any major public cloud via Docker or Kubernetes, it is used for multi-party data collaboration, data cleanrooms, and privacy-safe analytics across finance, healthcare, marketing, and public sector organizations.
Is Sarus a public or private company?
Sarus is a private company. It is classified as venture growth investor backed and is currently operating.
When was Sarus founded?
Sarus was founded in 2020. It employs 1 to 10 people.
Where is Sarus based?
Sarus is headquartered in Paris, France, in the Europe region.
How does Sarus make money?
Two revenue lines are on record. Enterprise Software Licenses are the primary driver. The others are cloud-based Platform Access.
Who are Sarus's main competitors?
Direct peers on record are Gretel.ai, Tonic.ai, Mostly AI, Hazy, TripleBlind, Duality Technologies, Enveil and Statice. Broad incumbents are Microsoft (Azure Confidential Compute / Purview) and Google Cloud (BigQuery / Vertex AI DP).
Does Sarus have an API?
Yes. Sarus provides a Python SDK that enables developers to programmatically perform privacy-preserving data science tasks including SQL querying, synthetic data generation, and LLM fine-tuning with differential privacy guarantees. The SDK wraps data processing jobs (SQL, Python/pandas/sklearn) and enforces privacy policies automatically. Deployment options include Docker and Kubernetes for on-premises or public cloud installations. Developer documentation is at docs.sarus.tech.
What industry is Sarus in?
Sarus's product category is Privacy-Enhancing Technology / Data Privacy Software. Its primary akta.pro industry code is HDAEADAG, Data Privacy, Consent & Compliance Management, with a secondary code of HDABAHAK, Data Security & Privacy for Cloud (DLP, DSPM, Tokenization). Its NAICS code is 518 and its SIC code is 7370.