Beyond the PoC: Why 74% of AI projects never see production
Most AI initiatives stall between demo and deployment. We break down the four organisational failure modes and how to design pilots that ship.
Pransam Technologies is a consulting and engineering studio for applied AI, product development and deep technology research — partnering with manufacturing, pharma, education and agritech leaders to move from pilot to production.
We don't sell decks. We embed with your team, ship real systems, and hand over the keys with documentation, monitoring and a trained internal team.
LLM copilots, computer vision, forecasting and MLOps — engineered for reliability, not demos.
Full-stack squads shipping SaaS, mobile and edge products from zero-to-one to scale.
Strategy, tech due-diligence and org design for leaders operationalising AI at scale.
Applied research squads exploring frontier techniques with clear paths to product.
Every industry has its own physics. Our teams pair deep domain partners with senior AI engineers — so you get advice that respects both.
Autonomous factories. Predictive supply networks.
We help discrete and process manufacturers modernise operations with computer vision, predictive maintenance and AI-driven planning — from the shop floor to the tier-N supplier.

Compress discovery. Accelerate compliance.
From molecule to market — we build AI systems for target discovery, clinical operations, regulatory intelligence and GxP-compliant manufacturing analytics.
Personalised learning. Institutional intelligence.
We help schools, universities and edtech platforms deploy adaptive learning, assessment AI and operational analytics — grounded in pedagogy, not hype.

Data on every acre. Insight to every farmer.
Satellite, drone and IoT signals fused with agronomic models — for FPOs, agri-input majors and food companies working across the value chain.
Most AI initiatives stall between demo and deployment. We break down the four organisational failure modes and how to design pilots that ship.
Sensors are cheap. Data fabric is not. A pragmatic playbook for connecting BOM, MES and QMS without a decade-long re-platforming project.
Grounding, citation and provenance — three non-negotiables for deploying LLMs inside a regulated pharma organisation.
Why WhatsApp-first, voice-first design wins over apps in Bharat — and how we route escalations to human agronomists.
Tell us what you're building. We'll respond within 24 hours with a senior engineer or partner on the thread — never a sales rep.
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