Funding
Funding not disclosed
Founders
Product
Problem
Organizations in regulated industries such as legal, healthcare, finance, defense, and pharmaceuticals must process highly sensitive data while complying with strict privacy and data‑sovereignty regulations. Using cloud‑based AI services risks data exfiltration, breaches, and non‑compliance, limiting the ability to leverage AI for internal workflows.
Solution
Springroll provides an on‑device AI platform that runs autonomous agents locally on a user’s hardware, ensuring that all data remains within the organization’s perimeter. A unified cockpit allows administrators to deploy, orchestrate, and monitor sovereign AI workloads across devices equipped with local GPUs. The system is built with SOC 2 architecture and supports industry‑specific compliance requirements, such as HIPAA for healthcare and data‑privacy mandates for legal and financial sectors. By eliminating network transmission of sensitive information, Springroll enables secure AI‑driven automation of tasks like document analysis, prior‑authorization drafting, investment memo generation, and drug‑discovery modeling without exposing proprietary or regulated data.
Target Audience
Primary customers are enterprises in regulated sectors—law firms, hospitals and health systems, financial institutions, defense contractors, and pharmaceutical companies—that require AI automation while maintaining strict data privacy and compliance.
Features
- On‑device execution of AI agents on local GPUs, guaranteeing zero data exfiltration
- Centralized cockpit for deployment, orchestration, and monitoring of multiple sovereign AI workloads
- SOC 2‑aligned architecture with built‑in compliance controls for HIPAA, financial privacy, and defense regulations
- Industry‑specific AI modules for legal document processing, healthcare clinical documentation, financial analysis, and pharmaceutical research
- Secure sandbox environment that isolates AI workloads per device, preserving data sovereignty across the organization