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Registered on Startup India District

Genorova AI

Sectors as filed: Healthcare Technology

The website is as filed on the register. We have not checked that it resolves. Something wrong with this record?

Six things we look for on every record: DPIIT recognition, a CIN, a website, a description, a logo and a funding signal. Not held here: DPIIT recognised, CIN on file and Funding signal.

Where this is

District

Prayagraj

Uttar Pradesh

Startup India records the district. We do not have a street address for this company, and we will not invent one.

No point is drawn, because we do not have one.

Geocode confidence: medium

See all Prayagraj records on the map How we placed this record

What this record amounts to

Genorova AI is a Startup India record we can place no finer than Prayagraj district, which holds 1,450 records in this snapshot. 101 of those records are filed under Healthcare & Lifesciences, 7% of the district. It carries no funding signal of any class, which is true of 1,286 of the 1,450 records in Prayagraj.

Every figure above is counted from the 2026-08 snapshot and is the same number the page it links to prints.

In their own words

Genorova AI is an early-stage generative drug discovery startup building AI-powered pipelines to accelerate the identification of novel small molecule drug candidates. Founded by a pharmacy researcher with hands-on pharmacovigilance and computational chemistry experience, Genorova targets high-burden therapeutic areas beginning with Type 2 Diabetes (DPP-4 inhibitors) and Infectious Diseases (Gyrase B inhibitors).At its core, Genorova has independently built a Conditional Variational Autoencoder (CVAE) with 6.78 million parameters, combining a Transformer-based architecture with a custom BPE tokenizer trained on SMILES molecular representations. The model is trained on over 1.5 million drug-like molecules from the MOSES benchmark dataset and fine-tuned on curated pharma-grade DPP-4 inhibitor datasets, including compounds with sub-nanomolar potency. Phase 1 benchmarking achieved 70.9% molecular validity, 91.1% uniqueness, and 97.3% filter pass rate against PAINS and Lipinski criteria — competitive with published generative chemistry baselines.Phase 2 targets include scaling training data to 500K+ molecules, improving validity beyond 85%, reducing memorization below 5%, and validating generated hits through AutoDock Vina molecular docking with a target binding affinity below -8 kcal/mol.The long-term vision is a SaaS platform enabling pharmaceutical companies, biotech startups, and academic research institutes to run AI-guided hit generation and lead optimization pipelines — compressing early-stage drug discovery timelines from years to weeks.Genorova is pre-seed, founder-led, and actively seeking a technical co-founder from an ML or medicinal chemistry background.https://docs.google.com/presentation/d/1ZSi7kjCjLcZ6VnJ1TVfp0QTQtxcg5abI/edit?usp=drivesdk&ouid=100005341165146403915&rtpof=true&sd=true

Written by the company on its public Startup India profile. Not verified by us.

What the record says

Registered on Startup India
2026
Self-declared stage
Early traction
Healthcare & Lifesciences in Prayagraj
101 records
District
Prayagraj

The neighbourhood

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What we do not know

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