Theia Ventures Leads Pre-Seed Round in Lemnisca to Scale AI-Driven Biomanufacturing

The investment will support Lemnisca’s Bengaluru lab expansion, AI platform development, and early-scale pilot programmes targeting sustainable industrial bioproduction.

Theia Ventures has led a pre-seed funding round in Lemnisca, a Bio-AI startup developing AI-driven systems to scale biomanufacturing.

The investment will support Lemnisca’s Bengaluru lab expansion, AI platform development, and early-scale pilot programmes targeting sustainable industrial bioproduction. PointOne Capital and Dr. Satakarni Makkapati also participated in the round.

Lemnisca plans to initially collaborate with fermentation-led manufacturers while building its internal product pipeline. The AI platform aims to cut development timelines by up to 50%, improve operational efficiency by 25%, and promote the use of renewable and waste-carbon feedstocks, enabling faster validation and scalable impact. The company is inviting pilot collaborations and strategic partnerships across CDMOs, OEMs/SIs, and global ingredient brands.

“We are delighted to be early partners in Lemnisca’s journey, where advanced digital simulators can predict microbial processes before industrial scaling,” said Priya Shah, Partner at Theia Ventures.

This is Theia Ventures’ third investment from its new fund, anchored last month by British International Investment. The fund has already invested in Sarla Aviation, an electric aircraft company, and Climitra Carbon, a biochar firm for the steel sector, with three more investments planned this financial year.

“From day one, our question was simple: how do we make biomanufacturing the default manufacturing mode globally? Our focus is to build a digital operating system that brings biology from lab to factory, making scale-up faster, smarter, and globally accessible,” said Pushkar Pendse, Co-founder and CEO of Lemnisca.

Lemnisca is developing an AI companion for fermentation that integrates wet-lab experimentation with dry-lab modelling to predict, steer, and optimise production in real time. The system continuously learns, improving efficiency, predictability, and reliability in industrial biomanufacturing.

“We are rethinking everything, from lab workflows to model architectures, to ensure fewer surprises at scale and faster, repeatable success,” added Shilpa Nargund, Co-founder and CTO of Lemnisca.

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