VapusData Introduces VapusData OS for Governed, AI-Native Enterprise Workflows
VapusData, an AI data operating system
company, has introduced VapusData OS,
a decentralised, secure and governed AI
Data Operating System designed to help enterprises run AI across the
data and systems they already use. The platform connects enterprise data, applications and
infrastructure with AI models, data products and agentic workflows,
enabling organisations to build and execute AI-powered processes without
creating separate environments for every use case.
VapusData OS is built around the
principle that AI should work within
existing enterprise systems, business rules and controls. The platform
brings together data connectors, governed data products and lineage, model
management, agentic orchestration, workflow automation, applications and APIs,
with governance, security,
observability and traceability built into the operating layer. One
application built on the platform is VapusFin,
which automates finance workflows across accounts payable, accounts receivable,
reconciliation, taxation, claims, accounting and reporting.
VapusFin is
already being used in production, having processed more than 2 million documents autonomously, including approximately 100,000 invoices a day
for one large retail organisation. Production use cases have recorded 99%+ first-pass extraction accuracy,
while one deployment saw the exception
rate fall from 18% to 2% and weekly
reconciliation effort reduce from 40 hours to 2 hours.
Commenting on
the launch, Vikrant Singh, CEO and Co Founder, VapusData, said, “We are launching VapusData OS at a
point when enterprise AI is moving from experimentation to execution.
Businesses have spent years building systems that hold their data, processes
and institutional knowledge. The next challenge is making AI work within that
environment without compromising control or forcing organisations to rebuild
what already works. We believe the future of enterprise AI is not about adding
another intelligence layer, but creating an operating environment where AI can
understand context, work across systems and act within business rules. This
launch is our step towards making that model of enterprise AI practical.”
A key part of VapusData OS is Nabhik AI, its agentic execution layer
designed to take workflows from trigger to outcome. Agents can extract,
validate, reconcile, apply rules, route approvals and write back to enterprise
systems, with policy controls, approval
checkpoints, human oversight and audit trails built into execution.
VapusData OS is designed to work with existing enterprise infrastructure,
supporting 50 production connectors
across ERP systems, databases, applications and model providers, including SAP,
Oracle, NetSuite, Microsoft Dynamics 365, Tally, Zoho Books, QuickBooks and
Odoo. It can be deployed across cloud,
on-premise and air-gapped environments and holds ISO 9001, ISO 27001, SOC 2 Type II and SLSA Level 3 certifications,
alongside GDPR compliance.
The platform is being applied across finance, retail, e-commerce, banking and
insurance, real estate, logistics, education and cash management.
Production deployments include more
than 3,000 vendors in automated claims processing, around 40,000 ATMs supported
through cash-management reconciliation and approximately 3,000 lease agreements
made queryable through document intelligence.
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