Production AI.
Real Organizations.
Measurable Outcomes.
From a clinical knowledge system built for India's Ministry of AYUSH to AI analytics across Southeast Asia's largest pharma enterprise — these are the things we've built that run in production today.
Building India's First AI-Powered Homoeopathic Clinical Knowledge System
CCRH — Council for Research in Homoeopathy · Ministry of AYUSH
The Challenge
CCRH India needed to make decades of clinical case data accessible to healthcare professionals, researchers, and students across all disciplines of homoeopathic medicine. High-volume case records existed in silos, making it impossible to surface clinically important information on common and rare conditions at the scale the Ministry required. Search was keyword-based. Discovery was manual. Clinical insight was buried.
What We Built
We designed and built the Homoeopathic Clinical Case Repository (HCCR) — an AI-powered knowledge platform that enables semantic search across structured and unstructured clinical case data. The system surfaces diagnostically relevant cases by condition, symptom pattern, treatment approach, and outcome — enabling rapid clinical insight retrieval that was previously impossible at scale.
Outcomes
- Clinical case data from decades of practice made searchable and navigable for the first time
- Healthcare professionals able to surface clinically relevant case precedents in seconds — not hours of manual search
- Researchers and students across all homoeopathic disciplines can access structured case intelligence by condition, treatment, and outcome pattern
- Common and rare condition coverage — not just high-frequency cases — discoverable through the AI retrieval layer
- Government-scale deployment trusted by Ministry of AYUSH for national clinical intelligence infrastructure
Domain
Government healthcare · Clinical AI · Knowledge management · India
AI-Driven Analytics Modernization Across Southeast Asia's Largest Pharma Enterprise
PT KALBE Farma Tbk · Jakarta, Indonesia
The Challenge
KALBE Farma operates across consumer health, pharmaceutical, and nutrition divisions spanning multiple Southeast Asian markets. Decision-making intelligence was fragmented across a multi-company portfolio — no unified view of demand signals, supply chain performance, or commercial outcomes. Data infrastructure was heterogeneous, analytics were siloed by division, and the organisation needed AI capabilities that could operate at enterprise scale without replacing systems that were already embedded in operations.
What We Built
We modernized KALBE's data infrastructure and deployed AI-driven analytics across the enterprise — unifying data from disparate sources into a coherent intelligence layer. Supply chain forecasting models, commercial performance analytics, and AI-driven reporting were deployed across the portfolio. The result: a decision-making capability that operates across KALBE's full business breadth, in real time.
Outcomes
- Unified analytics intelligence across consumer health, pharma, and nutrition divisions — previously siloed by business unit
- AI-powered demand forecasting across Southeast Asian markets, reducing manual forecasting cycles and planning lead time
- Data infrastructure modernized to support real-time analytics and AI workloads at enterprise scale
- Decision-making visibility across a multi-company portfolio that could not previously be viewed in one place
- AI-driven commercial performance reporting replacing manual consolidation processes across the KALBE group
Domain
Pharmaceutical · Consumer health · Supply chain · Southeast Asia
Domain Expertise
That Changes the Architecture
AI without domain context is generic. We build for industries where the data is complex, the stakes are real, and the regulatory context matters.
What Could We Build
For Your Organization?
Book a free 30-minute strategy session. We'll identify your highest-ROI AI opportunity and show you what a production deployment looks like on your data, with your team, in your timeline.
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