RAW Labs SA provides a platform that enables real-time data integration and API development for AI applications, allowing businesses to securely access and utilize operational data from various sources without duplication. This technology addresses the challenge of fragmented data access, ensuring that AI-driven solutions operate with the most current and protected information.
Funding
$5.5M 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
Businesses struggle to integrate real-time data from diverse sources into AI applications, leading to delayed insights and potential security vulnerabilities due to data duplication and fragmented access. This complexity hinders the development and deployment of effective AI-driven solutions that require up-to-date and reliable information.
Solution
RAW Labs provides a platform for building APIs that drive AI agents, chatbots, and advanced AI analytics by enabling secure, real-time data integration. The platform offers a unified SQL interface to access and unify data from databases, SaaS applications, and data warehouses, eliminating the need for data duplication. RAW Labs facilitates rapid API development with features like low-code development using Snapi, a built-in IDE, and pre-built data connectors. The platform also includes enterprise-grade security features, such as data leakage protection, granular access control, and data lineage tracking, ensuring data interactions are secure, auditable, and compliant.
Target Audience
The primary customers are teams building AI-driven solutions, including AI agents, chatbots, and advanced AI analytics, who need secure, real-time access to operational data.
Features
- Low-code data service development using Snapi, a purpose-built language for real-time data analysis.
- Built-in IDE for coding, testing, and experimenting with data services.
- Out-of-the-box data connectors for widely-used databases, data formats, and data lakes.
- Push-to-deploy functionality for serving data as APIs with a single click.
- Integrated testing environment with GitHub pull request integration for safe API versioning.
- Built-in API management for enforcing usage policies, access control, and performance monitoring.
- OpenAPI-compatible data catalog automatically generated from API definitions.
- Guardrails to minimize AI hallucination through context-specific rules and validation checks.
- Data leakage protection and redaction to automatically protect sensitive data.
- Data drift detection and notification to alert teams of discrepancies in data quality.
- Granular access control and permissions to enforce role-based access to data.
- Real-time performance and anomaly detection to prevent errors and bottlenecks.
- Data lineage and audit trails for end-to-end traceability and regulatory compliance.
- Rate limiting and API throttling to control data flow and ensure system stability.
- Structured response validation for output consistency in specialized fields.