Vishleshan means "to analyse" in Sanskrit. That's exactly what we've been doing for over two decades — taking complex enterprise problems apart and building digital systems that actually solve them.
We are an enterprise AI and digital transformation company. We build production-grade, open-source digital and AI solutions that operate reliably at scale in complex, high-volume environments. Our work spans manufacturing, supply chain and logistics, sales and dealer operations, aftermarket and service, and finance.
We work with Fortune 500 OEMs across automotive, FMEG, and power utilities — enterprises that operate at scale, in complex multi-tier ecosystems, where reliability and adoption matter as much as the technology itself.
In 2025, our work in commercial vehicle digital transformation was recognised with the NVB Excellence Award at a Tier 1 automotive OEM's Annual Supplier Conference — a reflection of what we believe matters most: not just building something, but building something that gets adopted at scale and delivers measurable outcomes.
Our philosophy is simple: we augment what already works. We layer intelligence on top of existing ERP and legacy infrastructure using an AI-native, API-first, cloud-native stack, and mobile-first, built for adoption across large dealer and field ecosystems.
20+ years of industry experience. 300+ digital products delivered. 10+ Fortune 500 customers. 90 days to MVP.
Across four solution families — Revenue, Operations, Service, and Sustainability — we have built and deployed platforms covering B2B2C commerce, dealer sales, channel loyalty, aftermarket marketplaces, warehouse and logistics management, field service, technician enablement, and circular economy.
Deployed solutions include commercial vehicle fleet intelligence, D2C dealer commerce, technician plus (field and workshop service), and channel loyalty.
Agentic AI, conversational AI, industrial AI, and AI-powered search — all embedded directly into enterprise operations, not bolted on.
Vidura is the infrastructure layer for enterprise AI agents. It handles gateway access, context delivery, and governance in a single agent-agnostic platform — purpose-built for production deployments in regulated, high-volume enterprise environments. https://vishleshan.ai/vidura-agentic-platform
Intelligent Gateway: Secure authentication, intelligent routing, and governed access to enterprise systems for every AI agent. MCP-native, zero-trust, agent-agnostic.
Context Manager: Persistent agent memory, enterprise context delivery, and real-time guardrails via MCP. Keeps every agent informed and within bounds.
Governor: Policy-based control, compliance enforcement, and audit trails across all agentic workflows.
Manufacturing enterprises face a specific challenge that neither pure-play IT vendors nor industrial automation companies have fully solved: the gap between what happens on the shop floor and what reaches the decision-maker.
Litmus closes the gap at the machine edge — connecting plant-floor assets, normalising real-time data, and surfacing OEE intelligence from equipment that was never designed to talk to modern systems.
Vishleshan closes the gap at the enterprise layer — taking that operational intelligence and turning it into agentic workflows, service applications, dealer integrations, and AI-powered decision tools that field teams and business leaders actually use.
Together, the offering is end-to-end. Litmus handles asset connectivity, edge data collection, and machine-level analytics. Vishleshan handles the enterprise AI orchestration layer, the mobile and conversational interfaces, and the integration with ERP, CRM, and partner ecosystems.
For a manufacturing CTO, this means a single architecture, from sensor to insight to action. No stitching together multiple vendors. No data stranded at the edge. No AI that only works in a dashboard.
Every platform we ship runs in live enterprise environments across automotive OEMs, FMEG manufacturers, and power utilities at scale, in multi-tier dealer and field ecosystems. Our benchmark is adoption at scale, not a successful POC.
We layer intelligence on top of what enterprises already have i.e. their ERP, their legacy systems, their existing data infrastructure. Our API-first, open-source architecture means no lock-in and no core disruption.
We don't add a chatbot to an existing product and call it AI. Our Vidura platform handles agent orchestration, context management, and governance at the infrastructure level so every application we build has agentic and AI capabilities natively.
90 days to MVP is a commitment, not a marketing line. Our teams are small, cross-functional, and stay with the product long after go-live.
Two decades of work across automotive, FMEG, power utilities, and industrial manufacturing means we understand the operational reality such as shift patterns, SKU complexity, dealer hierarchies, multilingual field teams. We don't need to be educated on the domain.
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