Nsoffice
Written by the Bee, read it before you send it
KPIMore first meetings turn into real deals, on less preparation time
selling on-prem storage
NSOffice.AI just won a Global Innovation Award at the ISG Star of Excellence 2025, announced Jan 12, 2026, putting fresh scrutiny on whether the infrastructure behind your governance claims can back up the win.
On-prem storage
On-prem storage (seller's actual product for this meeting) high
Supporting rollout of NSOffice.AI to its 100+ global enterprise relationships
Bhargav Petla
Ai-fication Specialist, Network Science (parent of NSOffice.AI) · Previously AI Consultant at Network Science; earlier roles at Dell Technologies, Orion Square, and Verzeo.
Bhargav Petla works on AI-fication initiatives at Network Science, the London-headquartered deep-tech firm behind NSOffice.AI, and was credited among the core team at the product's public launch. He is based between London and Mumbai and holds a BTech in computer science and electrical engineering from IISER Bhopal.
- Supporting rollout of NSOffice.AI to its 100+ global enterprise relationships
- Driving adoption of governed, sovereign AI positioning ("Own Your Context") post-launch
- Helping scale enterprise sales in regions like Mumbai per active hiring push
- Ensuring AI deployments meet governance/compliance expectations he publicly champions
- Enterprise AI governance and "Shadow AI" risk
- Multi-LLM orchestration and unified enterprise workspaces
- AI adoption culture at Network Science (offsites, team building)
- NSOffice.AI product launch and positioning
Was named among the NSOffice.AI launch team unveiled at DTIA 10
Associated with messaging that "Shadow AI isn't lurking in the shadows anymore" and needs governed alternatives
Tagged in a Network Science offsite post celebrating team culture and NSOffice.AI-generated content
Nsoffice today
- Industry
- Business/Productivity Software — Enterprise AI
- Size
- 53 total employees (PitchBook)
- HQ
- London, United Kingdom
- Footprint
- UK · India (Mumbai office, india.nsoffice.ai) · UAE · 150+ AI projects delivered across UK, UAE, India and beyond
Network Science is a London-headquartered deep-tech innovation accelerator that built NSOffice.AI, an enterprise AI workspace unifying multiple LLMs, search, and workflow automation behind a single "Ask Bar." The company positions itself as an "Advise to Execute" partner, working with global enterprise clients across FinTech, Industry 4.0, SalesTech and other sectors.
- Won a Global Innovation Award at the ISG Star of Excellence 2025, announced Jan 12, 2026
- Publicly unveiled/launched NSOffice.AI at industry event DTIA 10
- Posted an open Enterprise Sales role for NSOffice.AI in Mumbai, listed Feb 18, 2026
- Site messaging now emphasizes "Shadow AI" governance risk as a core pitch angle
- Actively hiring a Mumbai enterprise sales rep to build pipeline from scratch, suggesting thin regional coverage
- Marketing leans on "Shadow AI" framing, implying enterprise clients struggle with ungoverned AI tool sprawl internally
- Company itself sells a tool-consolidation platform, indicating its own past pain with fragmented software stacks
- Committed to a governed, sovereign AI model that never trains on customer data (GDPR compliant)
- Betting on multi-LLM orchestration (ChatGPT, Gemini, Claude, Canva, Gamma, etc.) as differentiator vs single-model tools
- Targeting CIOs, IT Heads, CHROs and Digital Transformation leads for enterprise-wide platform sales
Positioning
We provide on-prem storage infrastructure that keeps enterprise data physically resident and governed, which is the backbone your 'data never leaves the customer's governed environment' promise depends on. As NSOffice.AI scales private-cloud deployments across 22+ enterprise customers, the storage layer underneath that promise has to scale with it.
Pitches
On-prem storage
Gives you a concrete, auditable answer for enterprise customers asking exactly where their data sits, reinforcing the non-training, governed-environment claim you lead with. This directly supports the sovereign AI positioning you're pushing post-launch without adding sales friction to your 4-6 week deployment timeline.
Private-cloud deployment support (paired with storage)
Lets you offer customers a dedicated, isolated storage tier as an upsell within your existing private-cloud option, strengthening deals with security-sensitive Finance and Procurement buyers you already target. It turns your governance messaging into a physical, demonstrable feature rather than just a policy statement.
Conversation arc
“Bhargav, congrats on the ISG Star of Excellence award — I wanted to talk about the storage layer that sits underneath the governed, non-training AI promise you're making to enterprise customers.”
“When you're deploying that private-cloud, GDPR-compliant environment for a new enterprise customer, where does the actual data physically land today?”
“On-prem storage gives you a hard, auditable answer to 'where does our data live' that backs up the governance story you're already telling in the market.”
“I hear the concern on adding infrastructure overhead while you're still scaling the Mumbai sales team — let's look at how this slots into deployments you're already running in 4-6 weeks.”
“Can we get 30 minutes with whoever owns your deployment architecture to map this against one live enterprise rollout?”
Ask these
- Q1When NSOffice.AI onboards one of its 22 enterprise customers, who owns the decision on where their data is physically stored?
- Q2With the Mumbai enterprise sales role you're staffing up, are you seeing regional data residency requirements that push customers toward on-prem specifically?
- Q3Since your platform's pitch leans hard on 'Shadow AI' governance risk, how do you currently prove to a prospect that their data truly never trains a model?
- Q4As you orchestrate across 10+ models like GPT, Gemini, and Claude per your job listing, does that multi-model traffic ever create storage or data-locality headaches internally?
Feasibility
FAQs
We're focused on scaling sales headcount in Mumbai right now, not adding infrastructure vendors.
This isn't a new sales motion, it's a component that makes the deals your new reps are chasing easier to close by giving them a concrete governance proof point. It plugs into deployments you're already running in the 4-6 week window without slowing them down.
Our data already stays within the customer's governed environment on private cloud, we don't need on-prem.
Private cloud and on-prem aren't mutually exclusive — for enterprise buyers with strict residency rules, on-prem is often the deciding factor between a pilot and a signed contract. It strengthens the exact claim you're already making rather than replacing it.
What they appear to run
- Job listing names ChatGPT, Gemini, Gamma, Canva, Claude as integrated tools under NSOffice.AI
- Site states "100+ connectors" and "1,000+ autonomous workflows" on the platform
- Site states data is never used to train AI models and stays within customer's governed environment