Katara offers a purpose‑built Retrieval‑Augmented Generation (RAG) platform that embeds compliance controls directly into the retrieval layer. It enforces dataset boundaries, detects sensitive data (PII, PCI, health information) at ingestion and query time, and provides role‑based access controls with immutable audit logs, enabling regulated organizations to govern and audit AI workflows.
Funding
$2.2M 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.
Founders
Product
Problem
Regulated organizations deploying Retrieval‑Augmented Generation (RAG) systems often lack built‑in controls to enforce data‑set boundaries, detect sensitive information, and maintain auditable access logs. Consequently, AI workflows can inadvertently combine data across silos, expose PII/PCI/health records, and fail compliance audits.
Solution
Katara provides a purpose‑built RAG infrastructure that embeds compliance into the retrieval layer. It enforces dataset boundaries before context is assembled, flags sensitive content at ingestion and retrieval, and applies role‑based access controls that stay synchronized with organizational changes. All interactions are recorded in audit‑ready logs, enabling security, compliance, and technology teams to demonstrate data provenance on demand. The platform integrates with existing data sources, supports multi‑agent orchestration, and offers a knowledge‑base builder for governed AI applications in regulated sectors.
Target Audience
Primary customers are compliance, security, and technology teams in regulated industries such as financial services, healthcare, and legal sectors that require governed AI workflows.
Features
- Dataset boundary enforcement that prevents cross‑dataset joins from violating access policies
- Pre‑assembly sensitivity detection for PII, PCI, health data, and jurisdiction‑specific information at both ingestion and query time
- Role‑based access control that automatically updates with changes in user roles
- Comprehensive outbound monitoring with immutable audit trails for every retrieval and response
- Built‑in data ingestion, automated chunking, and continuous source refreshing
- Multi‑agent orchestration engine and sandboxed testing environment for safe workflow development