Litmus
Litmus provides an industrial data platform that turns fragmented machine data into a structured, governed foundation for deploying AI across manufacturing plants. The platform combines data connectivity, security, and Industrial DataOps capabilities to help teams standardize data and deploy use cases in days rather than months. Its product suite includes Litmus Edge for edge data collection and Litmus Edge Manager for centralized fleet management.
- Artificial Intelligence
- Industrial Automation
- Manufacturing / Industry 4.0
- Software Only
Funding
Raised to date
$42.6MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 4 rounds
BMCNot disclosed · Undisclosed
Announced Nov 2025 · from article date
Disclosed cumulative: $39M
Founders
Isha Sheth
Founder
Litmus • Founder
Naoki Ishida
Founder
Litmus • Founder
Product
Problem
Manufacturers have invested in connectivity and analytics, but raw machine signals don't translate into usable, consistent data. Without structure and governance, data pipelines break across sites, forcing teams to rebuild the same integrations repeatedly. Industrial AI initiatives stall before they scale because the underlying data architecture is fragmented and inconsistent.
Solution
Litmus provides a modern industrial data platform that turns fragmented operational data into a repeatable system for deploying AI across every plant. The platform delivers six coordinated capabilities—data connectivity, data security, Industrial DataOps, data governance, edge intelligence, and central management—that connect assets, structure data, secure flows, and manage deployments across sites. With this industrial data foundation, teams can standardize data and deploy use cases in days rather than the traditional 12–18 months required for Industrial AI deployments. The platform includes Litmus Edge for on-premises data collection and contextualization, Litmus Edge Manager for centralized fleet management, and Litmus Unify for unified namespace architecture.
Target Audience
Primary customers are manufacturing enterprises and industrial organizations that need to scale data-driven initiatives and AI deployments across multiple plants, including operations technology teams, data engineers, and industrial IT leaders.
Features
- Litmus Edge provides edge-native data collection, normalization, and contextualization across industrial protocols and assets
- Litmus Edge Manager enables centralized deployment, monitoring, and management of edge instances across hundreds or thousands of sites
- Litmus Unify supports unified namespace architecture for consistent, real-time data access across the enterprise
- Litmus Data Catalog provides data discovery, lineage, and governance for industrial data assets
- Litmus MCP Server enables AI/LLM integration with industrial data for generative AI use cases
- Pre-built solution accelerators include OPC UA/DA bridging, Kepware migration tools, synthetic data simulation, and production record databases
- Integrations with major cloud platforms (AWS, Azure, Google Cloud), data platforms (Databricks, Snowflake), and time-series databases (InfluxDB)