The platform builds a living knowledge graph from a company’s data, processes, people, and financials, then uses AI to identify and resolve costly operational bottlenecks. It maintains full data sovereignty, offering real-time insights, risk detection, and skill mapping so leaders can obtain answers in days rather than months.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises struggle to obtain a unified, up‑to‑date view of how work actually gets done across fragmented data sources, processes, and employee knowledge. This lack of visibility leads to hidden inefficiencies, undetected risks, and missed growth opportunities, often requiring months of manual analysis to surface.
Solution
Pacific builds a living knowledge graph that continuously ingests data from existing systems (e.g., Slack, Jira, email, CRM) and augments it with structured voice interviews of employees at all levels. The graph unifies people, processes, skills, assets, and financial signals into a queryable model that reflects the organization’s real‑time state. Specialized AI agents traverse the graph to surface costly bottlenecks, early‑warning risk signals, and untapped expertise, enabling leaders to obtain actionable answers in days rather than months. Data sovereignty is preserved through node‑level advocate agents that mediate access based on requester role and owner preferences, ensuring that shared insights remain under the organization’s control.
Target Audience
Primary customers are mid‑size to large enterprises seeking operational intelligence, including senior leadership, risk and compliance teams, and HR or talent development groups that need visibility into process performance and employee expertise.
Features
- Automated ingestion of data from common enterprise tools without migration or disruption
- Voice‑driven interview workflow that captures employee perspectives without surveys or forms
- Continuous, queryable knowledge graph linking people, processes, skills, assets, and financials
- Domain‑specific AI agents that detect process inefficiencies, compliance gaps, and knowledge silos in real time
- Node‑level advocate system that enforces granular data access controls while maintaining full data sovereignty
- Real‑time risk and bottleneck alerts presented through a unified dashboard for rapid decision‑making