Corvic AI, the company building the Intelligence Composition Platform (IC Platform), today announced three simultaneous milestones: the general availability of Corvic V3, the listing of Corvic Decision Intelligence Agents on Google Cloud Marketplace, and the opening of Individual Plans. Together, these announcements mark a defining moment in Corvic’s mission to eliminate data plumbing and make intelligent AI applications composable — for enterprise teams and individual practitioners alike.
Coinciding with Google Cloud Next ’26, the launches extend Corvic’s Intelligence Composition Platform across every deployment context: Enterprise customers can access prebuilt Decision Intelligence Agents directly through Google Cloud, while individual practitioners can sign up at www.corvic.ai and begin composing intelligence on their own data today.
From Pipeline Engineering to Intelligence Composition
Despite rapid advances in large language models, enterprise AI adoption continues to stall. Organizations spend the majority of their time and budget not on AI, but on the data plumbing required to make AI work: ETL pipelines, vector databases, embedding management, and fragile orchestration chains that break every time the underlying data changes. Corvic calls this Pipeline Tyranny — and V3 is built to end it.
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“Most enterprises are still stuck in the same loop — building pipelines, fixing pipelines, and rebuilding them again as data changes. What we’re introducing is a fundamentally different model. Instead of engineering infrastructure, teams can now compose intelligence directly across their data and deploy outcomes in days, not months.”
— Farshid Sabet, CEO and Co-Founder, Corvic AI
Corvic V3 replaces the traditional pipeline stack with three purpose-built engines that together handle the full logic layer from ingestion to execution, automatically. The result is what Corvic calls the magic moment: once data sources are connected, every subsequent step becomes prompt, click, and run. All the manual plumbing and stitching — eliminated.
Announcement 1: Corvic V3
The central breakthrough in Corvic V3 is what the company calls the magic moment: Once a team connects their data sources — whether cloud warehouses, databases, documents, or live web data — every subsequent step in building a Decision Intelligence Agent becomes prompt, click, and run. All the manual extraction, embedding, retrieval engineering, and orchestration wiring that once took weeks of data engineering — eliminated.
This is possible because Corvic V3 is built on three proprietary engines that replace the traditional pipeline stack end to end:
Agentic Data Transformation: Context Aware Processing & Augmentation (CAPA™). Autonomous ingestion and contextual parsing across structured and unstructured sources — PDFs, tables, images, emails — without brittle ETL or custom parsers
Multimodal Retrieval Fabric: Mixture of Spaces™ (MoS™). Natively combines vector embeddings, knowledge graph relationships, and tabular structure into a single unified retrieval model — not a vector database with a graph layer bolted on
Adaptive Agentic Orchestration: Explainable Chain of Adaptive Actions (ECoAA™). Handles the full reasoning and execution layer — routing tasks, sequencing operations, and adapting dynamically as data and context change — with every step visible, traceable, and auditable
Together, these engines power a new class of platform capabilities:
Connect data once, use it everywhere — Data Rooms serve as secure, unified vaults; connect warehouses, lakehouses, blob storage, and live web data once and every agent inherits access automatically
Web as a native data source — pull live data from the web directly, or automatically enrich internal data with real-time web context — no connectors required
Full visibility and traceability — see exactly which data sources each application draws from, and trace every AI-generated output back to its source with SOC 2 Type II audited controls
Bring your own tools via MCP — connect proprietary APIs, custom scripts, and external systems directly to Corvic agents; agents command your tools to act on your data without rebuilding integrations
Agent-to-Agent (A2A) collaboration — users specify a desired outcome and Corvic automatically selects, sequences, and executes the necessary agents, tools, and data operations — including coordinating with external agents across platforms like Salesforce and Google Cloud; sessions can be promoted into persistent, self-healing pipelines
Always-current data — automatic alerts when underlying data sources change, so agents never operate on stale information.
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