Coincidence Labs provides an AI-operable data and workflow platform that unifies structured and unstructured information from across an organization into a single context core. The platform enables teams to build tailored operational interfaces—such as review queues and submission authoring tools—that run on shared agents, with full auditability designed for regulated environments. It supports flexible deployment including on-premise, cloud, or isolated multi-tenant options.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations in regulated industries often struggle with data scattered across multiple systems, with critical information still trapped in paper-based processes. This fragmentation prevents AI agents from accessing a unified, queryable data layer, forcing teams to rely on manual workflows that are slow, error-prone, and difficult to audit.
Solution
Coincidence Labs provides a unified data foundation that structures information from every system a team uses and digitizes paper-based content into a single context core. This platform enables AI agents to read, query, and act on the data, turning manual processes into repeatable AI-driven systems. Users interact through tailored operational interfaces—such as process monitoring dashboards, review queues, and submission authoring tools—all running on the same agents and context core, so new applications are configured rather than built from scratch. The platform is designed for regulated environments by design, with every agent action visible and traceable, and automatic escalation to human experts when review is required.
Target Audience
Primary customers are pharmaceutical and life sciences companies, as well as other regulated enterprises that need to operationalize AI workflows while maintaining strict auditability, data sovereignty, and compliance with security standards.
Features
- Unified data layer that ingests and structures information from disparate systems and digitizes paper-based documents
- Configurable operational interfaces for process monitoring, review queue management, and submission authoring
- Full audit trail of every agent action with real-time decision tracking across functions
- Automatic escalation workflows that route tasks to the appropriate human expert for review
- Enterprise-grade security with TLS 1.2+ encryption in transit and AES-256 encryption at rest
- SOC 2 Type II and ISO 27001 controls for compliance
- Flexible deployment options including single-tenant on-premise, cloud, or fully isolated multi-tenant environments
- Model transparency features that make AI decision-making visible and explainable