Vertical AI solutions built for India's highest-growth sectors — AgriTech, HealthTech, LegalTech, and more.
We build purpose-built AI products for India's most dynamic sectors. Each product is designed from the ground up for its industry context — integrating relevant data sources, using the right Claude model tier, and optimised for Indian languages, regulations, and workflows. From soil advisory chatbots to GST compliance assistants, our vertical AI products deliver immediate, measurable value.
Soil & crop advisory chatbot, pest detection from field photos, and weather-based farm alerts in regional languages.
Patient record summarisation, appointment triage bot with calendar integration, and medical report analysis.
Contract review and risk flagging using Claude Opus 4.6 reasoning — affordable legal AI for small businesses.
Adaptive tutoring assistant with extended thinking for STEM subjects — personalised to each student's learning pace.
Multilingual product description generator, customer review analysis, and AI-powered inventory recommendations.
GST, TDS, and compliance document assistant — extract, validate, and file-ready output for CAs and finance teams.
Crop advisory chatbot in Hindi and Marathi advising 10,000 farmers — pest photo analysis responding in under 5 seconds.
Patient triage bot for 200-bed hospital reducing front desk load by 60% and appointment no-shows by 35%.
SME contract review tool identifying 12 risk clauses in a 40-page agreement in under 2 minutes.
GST return preparation assistant reducing CA's per-client filing time from 3 hours to 25 minutes.
Sector-specific AI that understands your industry's terminology, regulations, and workflows
Built for India — regional language support, DPDP Act compliance, GST and Aadhaar integration ready
Right model for the right job — Haiku for speed, Sonnet for balance, Opus for complex reasoning
Faster ROI through vertical focus — no generic AI customisation costs
Let's discuss how Sector-Specific AI Products can drive real results for your organisation.
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