Mstack has launched Chemstack AI, the first closed-loop AI ecosystem in the industry aimed at democratising essential knowledge in molecular synthesis.

This innovative platform significantly reduces the time for molecular synthesis and commercialisation from approximately 18 months to few days.

As rising tariffs and changing geopolitical conditions increase the demand for domestic chemical supply chains, a critical bottleneck has emerged.

The specialised knowledge required for local manufacturing is largely held by a limited number of global companies.

The platform launch coincides with business growth, as the company has achieved a tenfold increase in revenue alongside operational profitability.

Chemstack AI addresses this challenge by transforming development timelines through three key capabilities:

LiteratureIQ: This feature maps extensive datasets of chemical literature into detailed knowledge graphs.

MSTACK RetroRank: It generates and ranks viable synthetic routes with an impressive 98.6 per cent exact match recall and 72.6 per cent Top-1 accuracy, surpassing current industry benchmarks.

Experimentation Assist: Utilising Bayesian Optimisation, this tool intelligently navigates reaction configurations, establishing a closed-loop validation between AI insights and laboratory results.

The platform’s vertically integrated architecture fosters a powerful continuous feedback loop, setting it apart from fragmented point solutions.

This approach incorporates specialised AI modules that collaborate to replicate chemist intuition and strategic thinking, transforming traditional linear manual R&D processes into self-correcting, autonomous discovery engines.

'We’re not just another chemical company-we’re fundamentally redefining what’s possible when AI becomes the world’s smartest chemist,' said Shreyans Chopra, Founder of Mstack.

'Our 10x growth trajectory demonstrates that the market desperately needs innovation-driven supply diversification, and traditional players simply can’t innovate synthesis routes at the speed and scale necessary to create viable alternatives. While others are locked into legacy processes that haven’t been reimagined in decades, our AI scales knowledge across domains, enabling us to operate with the efficiency of large commodity players while maintaining the innovation agility of specialty companies.'