Corvic AI provides an Intelligence Composition Platform that lets enterprises connect to any data source—warehouses, object stores, APIs, or SaaS systems—without moving the data. Users can build pipelines visually or via natural‑language prompts, and the platform automatically handles ingestion, transformation, orchestration, and deployment while delivering explainable, traceable results as live dashboards or API outputs. This enables analyst and product teams to focus on outcomes rather than building and maintaining custom data pipelines.
Funding
$12M 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.
5OBVMVFounders
Product
Problem
Enterprises often spend months and significant engineering resources building custom data pipelines to ingest, transform, and analyze disparate data sources, resulting in high costs, delayed insights, and brittle integrations.
Solution
Corvic AI offers an Intelligence Composition Platform that lets organizations connect to any data source—warehouses, object stores, APIs, or SaaS systems—without moving the data. Users can build data pipelines visually or by describing desired outcomes in natural language, and the platform automatically handles ingestion, transformation, orchestration, and deployment. The system creates agentic workflows with modular skills (e.g., web search, code execution) and provides full traceability of each reasoning step, linking answers to the underlying source rows or documents. Results are delivered as live charts, tables, or metrics that can be shared or deployed via API, enabling teams to focus on outcomes rather than plumbing. The platform is offered through subscription tiers that include developer seats, AI token quotas, and web‑search query limits.
Target Audience
Primary customers are analysts, researchers, and product teams in enterprises that need rapid, reliable insights from heterogeneous data without maintaining a dedicated data engineering team.
Features
- Connect to any data source (Snowflake, BigQuery, S3, Azure Blob, CRM, ERP, APIs) with no data migration required
- Visual Data Composer for drag‑and‑drop pipeline building and an Agent Mode that creates end‑to‑end workflows from plain‑language prompts
- Agentic workflow engine with modular skills (search, analysis, code execution) and Model Context Protocol integration for external tools
- Explainable chain of reasoning with clickable references to source rows, tables, or documents for full auditability
- Live dashboards that turn agent outputs into up‑to‑date charts, tables, and metrics on a personalized homepage
- Fine‑grained access control and enterprise‑grade security, including SSO and compliance features for the Enterprise tier
- One‑click deployment via REST API, webhooks, or Python SDK, eliminating vendor lock‑in