Oblivious offers a middleware platform that adds differential privacy to analytical queries, enabling data scientists to obtain insights without exposing raw records. Its confidential computing runtime runs workloads inside hardware secure enclaves, protecting data during processing, and both solutions integrate with major cloud and on‑premise data warehouses via standard APIs while providing compliance controls such as audit logging and ISO 27001/SOC 2 certification.
Funding
$6.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
ABABCV+1Founders
Product
Problem
Enterprises face fragmented data environments and lack mechanisms to protect sensitive information during storage, analysis, and processing, leading to exposure risks, compliance challenges, and limited collaboration across teams and partners.
Solution
Oblivious delivers privacy‑enhancing technologies that secure data throughout its lifecycle. The AGENT platform acts as a middleware layer that applies differential privacy to analytical queries, allowing data scientists to extract insights without revealing raw records. OBLV Deploy provides confidential computing by running workloads inside hardware‑based secure enclaves, isolating data from the host operating system and external threats. Both solutions integrate with existing data pipelines and cloud services via standard APIs, enabling seamless adoption without extensive re‑architecting. Built‑in compliance controls, audit logging, and industry certifications (ISO 27001, SOC 2) help organizations meet regulatory requirements while maintaining operational efficiency.
Target Audience
Primary customers are large enterprises in regulated sectors—such as finance, healthcare, and telecommunications—that need to run analytics and collaborative workloads on sensitive data while maintaining strict privacy and security compliance.
Features
- Differential‑privacy middleware (AGENT) that injects calibrated noise into query results to preserve individual privacy while supporting standard SQL‑like analytics
- Confidential computing runtime (OBLV Deploy) leveraging Intel SGX/AMD SEV secure enclaves for end‑to‑end data protection during processing
- Plug‑and‑play integration adapters for major cloud platforms (AWS, Azure, GCP) and on‑premise data warehouses, requiring minimal code changes
- Comprehensive compliance suite with ISO 27001 and SOC 2 Type 1/2 certifications, automated audit trails, and role‑based access controls
- Secure data sharing framework supporting multiparty collaboration, encrypted data exchange, and fine‑grained policy enforcement
- API and SDK (Python, Java) for programmatic access to privacy‑preserving analytics and enclave orchestration
- Built‑in key management and encryption‑at‑rest/in‑transit using hardware security modules (HSMs)