Pharmaceuticals businesses in India, and what technology actually fixes

Regulatory Document Intelligence for CDSCO & WHO Submissions

The problem. Regulatory documentation burden — CDMO dossiers, CDSCO filing packs, and annual returns consume months of manual review, and a single formatting error can delay approval by quarters.

What we build. A domain-tuned RAG system trained on your company's historical submissions, CDSCO/WHO guideline documents, and your internal SOPs — it drafts, cross-checks, and formats regulatory packets end-to-end, flagging missing data or inconsistent units before submission.

What changes. What used to take a regulatory affairs team six weeks of cross-checking PDFs and spreadsheets becomes a draft-ready packet in days, with an audit trail showing exactly where every claim was sourced.

You probably need this if: Your RA lead is still pulling 2019-2021 dossier formats off a shared drive to 'match the template,' and every new product launch means two months of manual compilation.

Delivered as Custom AI Build from ₹2,00,000 one-time

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Batch Quality Control Vision System for Tablet & Vial Lines

The problem. Batch quality control — visual defects (chipped tablets, discoloured capsules, particulate in vials) are caught too late, causing rework, rejection, and potential recall.

What we build. A computer-vision system mounted at critical inspection points on your tablet compression and filling lines — trained on your actual defect images, it flags out-of-spec units in real time and logs a trend dashboard per batch, per shift, per machine.

What changes. Defects surface during the run instead of after the batch is complete, reducing reject rate and giving you auditable quality records per Batch Manufacturing Record (BMR).

You probably need this if: You're still relying on manual QC sampling at the end of the line, and a recall notice from two years ago is still the scarcest memory in your quality head.

Delivered as Custom AI Build from ₹2,00,000 one-time

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Field Force Support Agent for Medical Reps

The problem. Field-force effectiveness — medical reps spend more time on admin (order follow-ups, stock checks, prescription queries) than on doctor engagement, and territory coverage is uneven.

What we build. An AI voice agent integrated with your CRM and distributor database that handles routine calls from chemists and doctors — stock availability, order status, prescription query triage — freeing reps for face-to-face detailing while capturing every interaction as structured data.

What changes. Reps close more calls per territory, chemist satisfaction rises on stock information, and you get a real-time view of what doctors are asking about across every segment.

You probably need this if: Your sales head measures success by calls made, not by what happened after the call — and your reps complain their CRM is a chore they fill in after the visit.

Delivered as AI Voice Agents & Support Automation from ₹1,25,000 one-time

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Cold-Chain & Dispatch Visibility Agent

The problem. Cold-chain and supply visibility — temperature-excursion events during drug dispatch go unnoticed until a receiving warehouse rejects the consignment, causing financial loss and compliance questions.

What we build. A multi-agent workflow that ingests IoT temperature-telemetry from your cold-chain vehicles, predicts excursion risk in real time, auto-alerts the dispatch supervisor, and generates a temperature-compliance report per consignment for auditor review.

What changes. Excursions are caught before the truck reaches the next hub, and every shipment carries a machine-generated compliance pack instead of a handwritten log.

You probably need this if: You lose a shipment to a temperature rejection once a quarter and still can't produce a clean audit trail when an inspector asks for it.

Delivered as Custom AI Build from ₹2,00,000 one-time

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R&D Literature-to-Hypothesis Assistant

The problem. R&D cost per molecule — scientists spend weeks manually screening literature for lead compounds, mechanism hypotheses, and prior-art patents before they can even start a screen.

What we build. A domain-tuned RAG and search agent that ingests PubMed, patent databases, and your internal research notes — it surfaces relevant prior work, suggests mechanistic hypotheses, and flags potential IP overlaps before a project hits the bench.

What changes. Researchers go from idea to testable hypothesis in days instead of months, and the IP team catches prior-art collisions early.

You probably need this if: Your lead scientist tells you the hardest part of a new programme isn't the chemistry — it's the three months spent reading papers before anything hits a plate.

Delivered as Custom AI Build from ₹2,00,000 one-time

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DPDP Act Compliance for Pharma Data Processing

The problem. Pharma companies collect and process large volumes of patient and healthcare-professional data — trial data, prescription patterns, adverse-event reports — and India's DPDP Act carries fines up to ₹250 crore for non-compliance.

What we build. A full DPDP readiness engagement mapped to pharma's data flows: consent architectures for clinical-trial participants, data-minimisation maps for prescription analytics, breach-notification procedures, and a data-protection impact assessment scoped to your actual processing activities.

What changes. You enter the new regulatory regime with a documented compliance posture instead of a worst-case fine exposure, and your legal team can show auditors exactly where patient data flows through your systems.

You probably need this if: Your CTO says 'we'll handle DPDP when we hear from the regulator' — and your legal team can't produce a single data-mapping document without pulling three people into a room for a week.

Delivered as DPDP Act Compliance (India) from ₹39,999 one-time

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Pharma Order-to-Cash Automation for Distributor Networks

The problem. Field-force and distribution teams lose days chasing order confirmations, invoice disputes, and credit-note cycles across a fragmented distributor network.

What we build. Custom automations that connect your ERP, distributor portals, and payment gateways — order acknowledgements, dispatch confirmations, and invoice reconciliation happen without manual intervention, with exception alerts only reaching your finance team.

What changes. Cash-collection cycles shorten, distributor grievances drop, and your finance team stops doing data entry that a system should have handled.

You probably need this if: Your accounts-receivable head spends half their month reconciling what distributors 'say they ordered' against what your ERP says was dispatched.

Delivered as Workflow Automation & AI Agents from ₹39,999 one-time

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How do I know if we need regulatory document intelligence for cdsco & who submissions?

You probably need this if Your RA lead is still pulling 2019-2021 dossier formats off a shared drive to 'match the template,' and every new product launch means two months of manual compilation. Once it is running, what used to take a regulatory affairs team six weeks of cross-checking PDFs and spreadsheets becomes a draft-ready packet in days, with an audit trail showing exactly where every claim was sourced.

How do I know if we need batch quality control vision system for tablet & vial lines?

You probably need this if You're still relying on manual QC sampling at the end of the line, and a recall notice from two years ago is still the scarcest memory in your quality head. Once it is running, defects surface during the run instead of after the batch is complete, reducing reject rate and giving you auditable quality records per Batch Manufacturing Record (BMR).

How do I know if we need field force support agent for medical reps?

You probably need this if Your sales head measures success by calls made, not by what happened after the call — and your reps complain their CRM is a chore they fill in after the visit. Once it is running, reps close more calls per territory, chemist satisfaction rises on stock information, and you get a real-time view of what doctors are asking about across every segment.

How do I know if we need cold-chain & dispatch visibility agent?

You probably need this if You lose a shipment to a temperature rejection once a quarter and still can't produce a clean audit trail when an inspector asks for it. Once it is running, excursions are caught before the truck reaches the next hub, and every shipment carries a machine-generated compliance pack instead of a handwritten log.

How do I know if we need r&d literature-to-hypothesis assistant?

You probably need this if Your lead scientist tells you the hardest part of a new programme isn't the chemistry — it's the three months spent reading papers before anything hits a plate. Once it is running, researchers go from idea to testable hypothesis in days instead of months, and the IP team catches prior-art collisions early.

How do I know if we need dpdp act compliance for pharma data processing?

You probably need this if Your CTO says 'we'll handle DPDP when we hear from the regulator' — and your legal team can't produce a single data-mapping document without pulling three people into a room for a week. Once it is running, you enter the new regulatory regime with a documented compliance posture instead of a worst-case fine exposure, and your legal team can show auditors exactly where patient data flows through your systems.