Scimplify has raised $25 million to expand an artificial-intelligence platform that helps turn specialty-chemical requirements into commercial production, TechCrunch reported. The Bengaluru-based startup is targeting manufacturers seeking alternative sources for critical materials used in semiconductors, energy systems and defense, where supply is often concentrated in China and a small number of other countries.

Hitachi Ventures led the all-equity strategic round. Scimplify customers Henkel and Teknor Apex joined as new investors, while Accel India, Bertelsmann India Investments, Omnivore and 3one4 Capital returned. A person familiar with the transaction told TechCrunch the deal values Scimplify at $250 million after the investment, up from $150 million after a $40 million Series B in March 2025. The company declined to disclose its valuation but said total equity funding has reached $80 million.

The startup, founded in 2023, is attempting to shorten the difficult stage between discovering promising chemistry and producing it reliably at scale. Manufacturers must design a production process, identify and qualify facilities, satisfy quality controls and navigate regulatory requirements. Co-founder Sachin Santhosh told TechCrunch that Scimplify has completed that journey in as little as two months for some orders, compared with what he described as a typical 12-to-18-month process.

A laboratory process expands into factory production through monitored checkpoints.
Scinode coordinates research, manufacturing, quality control, and regulatory requirements.

Scimplify develops manufacturing processes at research facilities in Bengaluru and Hyderabad before transferring them to partner factories. Its proprietary platform, Scinode, identifies possible production routes and suitable facilities while tracking quality and regulatory needs. Santhosh said specialized AI agents divide the work among research, manufacturing and quality-control functions, using the customer’s requested outcome as the starting point.

Human specialists remain part of the operation. Scimplify employs about 340 people, including roughly 70 scientists, and its internal team supervises production across more than 500 manufacturing sites. Approximately 90 percent of current manufacturing takes place in India, but the company plans to expand its production network in the United States and Japan during the next year.

The company says demand outside India is growing rapidly. Santhosh reported that Scimplify’s annualized US revenue run rate increased from about $10 million to $60 million in a year and now represents roughly 30 percent of the business. Customers outside India collectively generate more than half of revenue, he said, compared with less than 5 percent about 18 months earlier.

Linked factories route critical materials toward electronics and energy components.
The startup plans to extend its production network beyond India into the United States and Japan.

Across the company, Santhosh put annualized revenue run rate at about $200 million, triple the level a year earlier, with a target of $400 million over the next year. He also said Scimplify had been EBITDA-positive for two months and expected to become profitable after tax in October. Those figures and projections were supplied by the company and were not presented in the report as independently audited results.

Energy, electronics and defense now account for roughly 45 to 50 percent of revenue, up from less than 15 percent a year ago, according to Santhosh. Scimplify is developing tungsten derivatives from scrap and working on rare-earth materials, both areas in which supply chains are heavily dependent on China. Its customers include TDK, BASF and Hitachi, and the company says it has served more than 1,000 customers and delivered products to over 40 countries.

About $7.5 million of the new capital is earmarked for US expansion, including a wider manufacturing network, while another $2 million is planned for Scinode development. The investment tests a practical claim about industrial AI: that software agents can create value not by replacing the factory, but by coordinating the scientific, regulatory and production decisions needed to reach it faster.