Everychart offers a SaaS knowledge platform that automatically extracts, validates, and links data from enterprise tools such as Jira, Slack, Salesforce, and Confluence. The system builds a real‑time knowledge graph, uses semantic search and continuous machine‑learning feedback to surface cross‑domain impacts, predict failures, and maintain an immutable audit log for compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often operate fragmented toolchains—such as Jira, Slack, Salesforce, and Confluence—where data silos, inconsistent quality, and undocumented downstream effects hinder decision‑making and increase the risk of workflow failures. Without a unified view, gaps in product requirement data can propagate errors across development, sales, and supply‑chain processes.
Solution
Everychart delivers an enterprise knowledge platform that automatically extracts, validates, and links data from critical workflows like product requirements. Secure “knowledge agents” authenticate via a passport system, sanitize inputs, and perform semantic searches to execute authorized functions across integrated tools. The platform builds an end‑to‑end knowledge graph that maps downstream impacts, enabling real‑time visibility into how a change in one domain influences others. A continuous machine‑learning feedback loop captures decision outcomes, surfaces trade‑off insights, and predicts potential failures before they materialize. All actions are recorded in an immutable audit log, supporting compliance and traceability. The service is offered as a subscription‑based SaaS solution designed for large‑scale organizations seeking cohesive data governance and actionable cross‑domain intelligence.
Target Audience
Primary customers are large enterprises with complex, multi‑tool workflows—such as product development, operations, and supply‑chain teams—that require unified data governance and cross‑functional impact analysis.
Features
- Agentic infrastructure with passport‑based authentication, data sanitization, and full audit logging for secure, compliant operations
- Semantic search engine that enables agents to locate and invoke authorized functions across Jira, Slack, Salesforce, Confluence, and other enterprise systems
- Automated data‑quality analysis that identifies gaps, normalizes fields, and scores workflow health in real time
- End‑to‑end knowledge graph that maps downstream impacts, providing visual “focus” nodes for each workflow area
- Continuous machine‑learning feedback loop that ingests outcome data, learns cross‑domain dependencies, and predicts failure scenarios
- Multi‑tool integration layer (knowledge fabric) that synchronizes context across disparate platforms without manual data stitching
- Configurable dashboards and API endpoints for downstream analytics, reporting, and integration with existing BI tools