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Latent

Latent provides an on‑premise conversational AI that unifies data from PLM, ERP, MES, Jira, GitHub and other enterprise systems, allowing users to ask natural‑language questions and receive real‑time, context‑rich answers. The platform includes pre‑built, read‑only connectors with full audit logs and supports custom integrations for legacy tools, ensuring secure, up‑to‑date insights without manual data extraction.

Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Manufacturers often struggle to obtain up‑to‑date information from multiple siloed systems such as PLM, ERP, MES, Jira, and GitHub, requiring manual data extraction and cross‑referencing that is time‑consuming and error‑prone.

Solution

Latent delivers an on‑premise conversational AI layer that connects directly to these core enterprise systems and provides real‑time, read‑only insights via natural‑language queries. By keeping the AI engine within the corporate network, data never leaves the internal environment, and all interactions are recorded in audit‑ready logs. Pre‑built connectors enable immediate access to PLM, ERP, MES, Jira, and GitHub data, while custom connectors can extend coverage to legacy or in‑house tools. The platform surfaces project risks, blockers, and status updates automatically, allowing users to ask a single question and receive a comprehensive, context‑rich answer across all integrated systems.

Target Audience

Primary users are engineering, product development, and operations teams in manufacturing enterprises that need unified, instant visibility into their R&D and production data.

Features

  • Real‑time read access to PLM, ERP, MES, Jira, and GitHub without batch imports
  • Read‑only default operation with optional write permissions under strict authorization
  • Pre‑built connectors for major PLM/ERP/MES platforms and support for custom integrations
  • Full audit trail logging every query and data access for compliance and traceability
  • On‑premise deployment ensuring data remains within the corporate network
  • Proactive risk monitoring that scores projects across multiple dimensions and flags issues
This profile is AI-generated and may contain inaccuracies.