Nsoffice
Written by the Bee, read it before you send it
KPIMore first meetings turn into real deals, on less preparation time
first meeting for selling storage on prem
You've onboarded 22 enterprise customers since launch, and each one likely needs private-cloud, data-residency-compliant infrastructure behind it.
IT product distribution (servers, storage, data center hardware)
IT product distribution (servers, storage, data center hardware) high
Scaling NSOffice.AI enterprise deployments (currently 22+ customers)
Bhargav Petla
Co-Founder & Chief Revenue Officer, Network Science / NSOffice.AI · Multi-year with Network Science; prior stints at Dell Technologies, Orion Square, Verzeo
Bhargav Petla is a co-founder and revenue leader at Network Science, the AI studio behind NSOffice.AI, an enterprise AI productivity platform. He previously worked at Dell Technologies and Verzeo before moving into AI/deep-tech go-to-market roles.
- Scaling NSOffice.AI enterprise deployments (currently 22+ customers)
- Securing infrastructure for private-cloud, data-residency-compliant AI deployments
- Driving revenue growth as CRO across enterprise accounts
- Supporting rapid onboarding (24-hour deploy claims) which needs solid backend infra
- Positioning NSOffice.AI against fragmented enterprise tool sprawl
- Enterprise AI adoption and 'Shadow AI' governance
- Multi-LLM orchestration and contextual intelligence platforms
- AI-native enterprise productivity vs. legacy office suites
- Team culture and company milestones at Network Science
- Data sovereignty and governed AI usage
Colleague post tagging him at NSOffice.AI's DTIA 10 launch event
Network Science team offsite post referencing his 6 years at the company
NSOffice.AI messaging around 'Shadow AI' and enterprises needing to 'Own Your Context'
Nsoffice today
- Industry
- Enterprise AI software / AI productivity platform
- Size
- Small/early-stage; UK-registered entity with India (Mumbai) team presence
- HQ
- London, UK (registered) with operations/team based in Mumbai, India
- Footprint
- UK (Companies House registration) · India/Mumbai (Network Science team) · Global enterprise customer base (100+ enterprises claimed)
NSOffice.AI is an enterprise AI productivity platform built by Network Science, offering a single "Ask Bar" that unifies multi-LLM orchestration, contextual intelligence, and workflow automation across finance, sales, marketing, and ops. It positions itself as the AI-era successor to traditional office suites, integrating with 15+ business systems including CRM, ERP, HRMS, and email.
- Publicly unveiled/launched NSOffice.AI at the DTIA 10 event (per LinkedIn posts, late 2025)
- Onboarded 22 enterprise customers since launch, per BOLD Awards project listing
- Companies House verification of an officer (Sandeep Sudheer Hardikar) completed 18 Nov 2025
- Entered BOLD Awards 2026 in 'Boldest AI, Boldest Future of Work' category
- No published pricing, financial filings, or headcount details publicly visible
- Very new/early-stage product with thin independent press coverage beyond self-published sources
- Heavy reliance on self-reported metrics (8x ROI, 60% time savings) without third-party verification
- Multi-LLM orchestration across 10+ models (GPT-5, Gemini, Claude, O3, Flux)
- Enterprise-grade security posture: RBAC, private-cloud deployment, SSO, data residency controls
- Rapid deployment model promising 24-hour go-live and 4-6 week measurable ROI
Positioning
We distribute the on-prem storage and server hardware that private-cloud AI deployments run on, sourced multi-vendor so you're not locked to one OEM as you scale.
Pitches
IT product distribution (servers, storage, data center hardware)
Get multi-vendor server and storage hardware sourced and provisioned fast enough to match your 24-hour deploy commitments. This keeps your infra procurement from becoming the bottleneck as you add enterprise logos.
Tech Data Capital financing
Finance the storage buildout for new enterprise rollouts without tying up cash you'd rather put into GTM as CRO. Extends purchasing power so infra spend doesn't gate revenue growth.
Conversation arc
“Bhargav, congrats on the DTIA 10 launch — I wanted to talk about what's sitting behind NSOffice.AI's private-cloud promise to your enterprise customers.”
“Who's currently sourcing the storage and compute for your private-cloud deployments today?”
“We distribute multi-vendor storage and server hardware plus financing, so you can scale each new enterprise deployment without a single-vendor bottleneck or big upfront capex.”
“I hear you on wanting flexibility — that's exactly why we stay vendor-neutral rather than pushing one OEM's box.”
“Can we set 30 minutes with your infra lead to map your next few enterprise rollouts against our storage and financing options?”
Ask these
- Q1Who currently supplies the on-prem storage and servers for your private-cloud deployments?
- Q2With 22 enterprise customers onboarded since launch, how are you provisioning storage capacity for each new rollout — per-customer or shared pool?
- Q3Given your 24-hour deploy promise, what's the current bottleneck when a new enterprise customer needs private-cloud infrastructure stood up?
- Q4How are you funding the hardware buildout as you scale past your current customer base?
Feasibility
What they appear to run
- Product page states integration across 15+ business systems including email, drives, CRM, ERP, HRMS
- BOLD Awards listing names multi-AI access across 10+ leading models including GPT-5, Gemini, Claude, O3, and Flux
- Enterprise page describes private-cloud deployment, RBAC inheritance, and data residency/encryption controls