Nova Doc provides an AI-native platform that automates and audits the entire vendor lifecycle for regulated enterprises. It integrates with existing ERP and procurement systems, runs all AI components locally within a VPC for deterministic behavior, and applies industry‑specific compliance frameworks to ensure audit‑ready, risk‑scored workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Regulated enterprises often manage vendors through manual, fragmented processes that are difficult to audit, prone to human error, and struggle to keep pace with compliance requirements.
Solution
Nova Doc offers an AI-native vendor lifecycle management platform that transforms these manual workflows into automated, auditable sequences. The system integrates with existing enterprise tools via a connective intelligence layer, enabling end‑to‑end vendor onboarding, assessment, monitoring, and off‑boarding. All AI components—including data storage and large‑language‑model inference—run locally within a VPC, ensuring deterministic behavior and data residency for highly regulated environments. Industry‑specific frameworks are fine‑tuned to align with each organization’s internal policies, providing deterministic, human‑supervised workflows that satisfy compliance audits.
Target Audience
Primary customers are regulated enterprises—such as pharmaceutical, financial services, and healthcare organizations—that must manage high‑risk vendor relationships while meeting strict compliance and audit requirements.
Features
- AI‑driven, deterministic workflows that automate each stage of the vendor lifecycle while maintaining full audit trails
- Connective intelligence layer that synchronizes data across existing ERP, procurement, and risk‑management systems
- Fine‑tuned, industry‑specific compliance frameworks that map directly to internal governance policies
- Local/VPC deployment of the entire AI stack, including secure data storage and on‑premise LLM inference for data sovereignty
- Human‑supervised workflow checkpoints that allow reviewers to intervene and certify decisions without breaking automation
- Real‑time risk scoring and alerts powered by AI models trained on regulatory standards and historical vendor performance