Event · 27–28 October 2026 · Mumbai
SarthhakAI at the ChemPharma R&D Summit 2026
Enterprise AI Partner at the summit on Innovation, Digital Transformation and Sustainability.
- Role
- Enterprise AI Partner
- Dates
- 27–28 Oct 2026
- Venue
- Courtyard by Marriott, Mumbai International Airport
- Organisers
- Indian Chemical News · Indian Pharma Post
SarthhakAI was Enterprise AI Partner at the ChemPharma R&D Summit 2026, organised by Indian Chemical News (ICN) and Indian Pharma Post (IPP) on 27–28 October in Mumbai. Co-founders Trapti Kalra and Satvik Kalra led a platform session and joined a panel discussion.
Across both days, live demonstrations at the bodh scientific® booth led to many conversations with R&D leaders from chemicals, specialty chemicals and pharmaceuticals. Our thanks to ICN, IPP and everyone who stopped by.
Introducing bodh scientific® and what’s new
Trapti Kalra, Co-founder & CTO, introduced bodh scientific®, our AI-native R&D and manufacturing intelligence platform for synthesis and formulation R&D, running in each company’s own environment with ISO 27001 and GDPR compliance. She also outlined Continuum Labs, for autonomous virtual labs and physical lab integration, and Episteme Labs, for large industry models in materials science, packaging science and polymer chemistry.
She then presented what’s new on the platform:
Route Discovery
AI-suggested synthetic routes for a target molecule, worked back to available starting materials.
Patent Intelligence
A side-by-side comparison of a team’s own work against patent claims, showing where documented prior art sits.
Formulation trade-off view
The best achievable balance between two properties across thousands of candidate formulations, mapped before targets are fixed.
One platform for the full R&D workflow
Electronic lab notebook, design of experiments, formulation optimisation, retrosynthesis and patent intelligence, together in a single platform.
Panel: R&D Pipeline Resiliency and Managing Cross-Border Regulatory Constraints
Satvik Kalra, Co-founder & COO, joined a panel moderated by Pravin Prashant, Executive Editor, ICN, with Prof. V. N. Rajasekharan Pillai (Reliance Jio Institute), Dr. Richard Lobo (Tata Chemicals) and Prasenjit Purkait (Clariant IGL Specialty Chemicals).
On keeping regulatory timelines from delaying global launches, he shared three strategies:
- 1
Design once, for the strictest market. Build every target market’s toughest requirement in from the first experiment, using optimisation models to find formulations that meet all of them at once.
- 2
Connect the evidence and put AI on top. With connected, traceable development data, a regulator’s question becomes a lookup rather than a project.
- 3
Use AI to plan for post-launch change. Predict whether a new supplier or site keeps a product within specification before the change is made, so it can be agreed with regulators in advance.
On AI-driven regulatory intelligence, he described how AI can read new regulations, map them to a company’s products and raw materials, and turn new limits into design constraints. With rules such as the proposed EU PFAS restriction now defined by chemical structure, companies can see what is affected while a rule is still a proposal.