Founder profile
Founder · Principal AI Architect
Utpal works on the architecture of AI-assisted decisions: how evidence is retrieved and verified, how domain meaning is represented, and where controls and human review belong.
Utpal Kant on LinkedIn (opens in a new tab)
01Focus
Enterprise AI architecture · Document and knowledge intelligence · Ontology
His work translates enterprise requirements into production-oriented AI architectures, covering retrieval, agentic components, model and data integration, controls and operation.
He has a particular focus on document intelligence and ontology-led approaches for complex information environments, where extraction, verification, traceability and structured knowledge matter.
At ARVEC he leads engagement definition and technical direction for architecture, document-intelligence, knowledge-engineering and capability-assessment work, including the use of AIF7™ where an enterprise-capability view is relevant.
02Related expertise
03Prior experience
Selected experience of our founders. Prior professional experience of ARVEC’s founders, before ARVEC AI’s incorporation. Not ARVEC client engagements; organisation and product names omitted.
Banking · Prior independent architecture assignment
Designed and executed an enterprise-wide AI capability assessment spanning technical, product, governance, risk and business roles. Combined structured scoring, capability heatmaps and gap analysis to inform investment priorities and operating-model recommendations.
Prior experience of Utpal Kant
International trade and logistics · Prior research and engineering role
Architected and deployed multimodal document-intelligence models across trade and transport documentation, integrating them into live operational workflows. The work connected document interpretation, structured information and validation requirements within a commercial shipping platform.
Prior experience of Utpal Kant
Container shipping · Prior research and engineering role
Developed a shipping-domain ontology and applied semantic relationships and validation rules to document and operational information. Also developed and operationalised a confidence model for estimated arrival and departure data drawn from heterogeneous shipping sources.
Prior experience of Utpal Kant
Examples from Utpal’s previous roles and independent assignments, before ARVEC AI’s incorporation. The second and third examples describe work within the same previous role.
