Prescott Data offers a sovereign AI automation platform that runs entirely within an enterprise’s own perimeter, allowing regulated organizations to automate complex, data‑sensitive workflows without centralizing raw data or exposing credentials. Its suite of tools—Dromos for workflow orchestration, Odin for graph‑based decision intelligence, JarvisCore for self‑organising agents, and Nexus for zero‑trust authentication—delivers O(1) query latency, deterministic execution, and full audit trails, enabling banks, hospitals, insurers, and similar firms to extract intelligence from fragmented data while staying compliant.
Funding
Funding not disclosed
Founders
Product
Problem
Regulated enterprises such as banks, hospitals, and insurers must keep sensitive data within strict boundaries, yet many of their critical workflows remain manual, siloed, and unautomated because existing AI solutions require centralized data pools or expose credentials, creating compliance and security risks.
Solution
Prescott Data provides a sovereign AI automation platform that runs entirely inside an organization’s own perimeter, eliminating the need to share raw data or credentials. Its suite of systems—Dromos for workflow orchestration, Odin for deterministic graph‑based decision intelligence, JarvisCore for self‑organising multi‑agent execution, and Nexus for zero‑trust authentication—enables enterprises to build, coordinate, and audit autonomous agents on their own data. The platform delivers O(1) query latency and deterministic execution while preserving full audit trails, so regulated teams can automate complex processes, surface hidden correlations, and make real‑time decisions without violating compliance requirements.
Target Audience
Primary customers are regulated enterprises—financial institutions, healthcare providers, insurers, and other organizations that must automate high‑risk, data‑sensitive workflows while maintaining strict compliance and data sovereignty.
Features
- Air‑gapped, isolated deployment architecture that keeps all data, logic, and AI models within the enterprise boundary
- Dromos canvas and natural‑language tools for building deterministic, compliant workflows that integrate with 150+ native enterprise applications
- Odin graph engine that fuses fragmented data into a unified, queryable intelligence layer with auditable traversal paths and millisecond‑scale execution
- JarvisCore mesh networking (SWIM protocol) providing self‑organising agents with unified long‑term memory, crash recovery, and deterministic execution
- Nexus protocol delivering zero‑credential, scoped, cryptographic authentication for agents, enforcing tenant isolation and on‑behalf‑of access
- Real‑time decision briefs and daily operational summaries for human operators, combining AI insights with traceable actions
- Unlimited analysis units and O(1) processing latency for scaling across billions of connected entities