Provenonce offers Oresund, a coordination kernel that links enterprise AI agents with existing applications, data stores, and compute environments without vendor lock‑in. The platform routes agent requests, enforces shared policies, and transforms outputs, enabling consistent, governed autonomous workflows across CRM, ERP, data warehouses, and communication tools.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises deploying multiple AI agents face fragmented execution because each agent operates in isolation, policies do not propagate across system boundaries, and tool sprawl increases decision latency. This coordination gap forces knowledge workers to spend the majority of their time managing integrations rather than delivering value, causing most AI pilots to stall before production.
Solution
Provenonce delivers Oresund, a neutral coordination kernel that sits between enterprise applications and existing systems of record, execution environments, and outcome platforms. The infrastructure provides a provider‑agnostic, ledger‑agnostic, and substrate‑agnostic layer that routes agent requests, enforces shared policies, and transforms outputs without taking ownership of data. By decoupling agent execution from underlying architectures, Oresund enables safe, consistent autonomous workflows across CRM, ERP, data warehouses, and communication tools. The platform’s execution router and policy engine ensure that agents can act collaboratively while respecting organizational governance, reducing coordination overhead and accelerating AI production deployment.
Target Audience
Primary customers are large enterprises that run multiple AI agents across sales, customer operations, and support automation workflows, and need a unified coordination fabric to connect their existing systems of record and compute substrates.
Features
- Provider‑agnostic coordination layer that integrates with any cloud or on‑premise system without vendor lock‑in
- Ledger‑agnostic design allowing seamless operation across blockchain, database, or file‑based data stores
- Substrate‑agnostic execution router that dispatches agents to any compute environment (e.g., live servers, serverless, edge)
- Centralized policy engine that propagates governance rules across system boundaries in real time
- Output transformation module that formats agent results for downstream applications such as CRM, ERP, or communication platforms
- Path selection mechanism that dynamically chooses optimal execution routes based on context and resource availability