Network Science

What Network Science does

Network Science is a London-based, privately held enterprise AI company founded in 2020 that positions itself as an "Advise to Execute" partner helping enterprises operationalize AI and GenAI deployments. It commercializes a single product, NSOffice.AI, an enterprise AI platform that the company describes as an "Enterprise Brain" built on a proprietary "System of Context" architecture. The platform connects to more than 100 enterprise systems — including SAP ERP and Salesforce CRM cited specifically — through native connectors spanning ERP, CRM, HRMS, BI, communication, document, and supply-chain layers, with claims of zero rip-and-replace integration.

The technical stack comprises six architectural layers (System of Records, System of Integration, System of Orchestration, System of Action, System of Knowledge, and System of Activity) supporting a "Metric Backward Approach" that maps AI workflows to specific business outcomes in finance, marketing, sales, operations, and executive functions. NSOffice.AI deliberately avoids LLM lock-in by supporting multiple foundation models — Claude, ChatGPT, Gemini, Mistral, and Grok — with workflow-level cross-model validation. The platform maintains an enterprise-grade security posture: ISO 42001 certified (among roughly 50 firms globally), GDPR compliant, with private LLM deployment ensuring customer data never trains external models. The company cites 1,000+ pre-built workflows, 100+ enterprise customers including JPMorgan Chase, Schneider Electric, H&M, Sun Pharma, Adani, Etihad Airways, Perfetti, Encube, TASC, and Genus, and claimed outcomes including 8x ROI, 30–50% faster finance close cycles, and 99%+ forecast accuracy.

Network Science operates a hybrid go-to-market: direct enterprise field sales globally, supplemented by a strategic channel partnership with Tech Data announced 2026-04-16 covering India with planned Asia Pacific and Japan expansion. The firm maintains 11–50 employees and discloses no funding rounds or revenue figures. Leadership disclosed in source material comprises co-founder and managing partner Asavari Hardikar; broader management team details are not provided.

Name

Network Science

Legal name

Network Science

Website

https://networkscience.ai

Company type

Private

Founded year

2020

Operating status

Operating

Headcount range

11–50 employees

Short description

Network Science is a London-based enterprise AI company that helps enterprises operationalize AI through its NSOffice.AI platform — a System of Context architecture with 100+ enterprise connectors — serving 100+ global customers including JPMorgan Chase, Schneider Electric, H&M, and Sun Pharma.

Ownership category

akta.pro rank

Product category

Enterprise AI Platform

NAICS

Software Publishers (5132), Software Publishers (513210), Computer Systems Design and Related Services (54151)

SIC

Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI) (HDAEANAI)

akta.pro secondary industries

End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA), Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG), Enterprise AI Governance, Risk & Compliance Platforms (Model Risk, Audit, Policies) (HDAEANAE), Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL)

Keywords

• Enterprise AI platform
• AI workflow automation
• Context-aware AI
• Enterprise AI agents
• AI advisory services

Headquarters

HQ city

London

HQ country

United Kingdom

HQ region

Europe

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations

Revenue model

1. NSOffice.AI Platform Subscription: Enterprise AI platform subscription model providing access to the System of Context architecture, 100+ enterprise connectors, and autonomous workflow capabilities. Revenue derived from enterprise licensing with advisory services bundled.

Go-to-market motion2 records

Distribution channels3 records

Marketing channels7 records

Core offering

Network Science sells NSOffice.AI, an enterprise AI platform built on a proprietary System of Context architecture that connects to 100+ enterprise systems (ERP, CRM, HRMS, BI, documents) through native connectors. It combines a System of Records (data layer), System of Orchestration (routing, reasoning, caching), and System of Action (autonomous workflows and specialized agents) to execute business workflows across finance, marketing, sales, operations, and executive functions with enterprise-grade AI governance.

Product overview

Network Science offers NSOffice.AI as a single unified enterprise AI platform built on its proprietary 'System of Context' architecture. The platform is delivered as a unified product combining three integrated subsystems: (1) System of Context — handles query routing, context management, and reasoning with multi-model AI; (2) System of Records — provides 100+ native enterprise connectors to ERP, CRM, HRMS, BI, and document systems; and (3) System of Action — enables autonomous workflow execution via specialized agents (Search, Domain, Conversational, Design, Monitoring, Orchestration). The platform targets enterprise-wide deployment across finance, marketing, sales, operations, and executive functions, with quantitative claims of 8x ROI and 30–50% faster finance close cycles.

Differentiator

Problem solved

Functional benefit

Products and services

• NSOffice.AI Enterprise AI platform that serves as an 'Enterprise Brain' for business context management, built on the proprietary 'System of Context' architecture. Combines a System of Records (100+ enterprise connectors), System of Orchestration (query routing, context management, reasoning, caching), and System of Action (autonomous workflows via search, domain, conversational, design, monitoring, and orchestration agents) to deliver 1,000+ pre-built workflows across finance, marketing, sales, operations, and executive functions. Targets enterprise customers (e.g., JPMorgan Chase, Schneider Electric, H&M, Sun Pharma, Etihad Airways) and claims 8x ROI, 30-50% faster finance close cycles, and 99%+ forecast accuracy.

Quantifiable outcome

• 8x ROI for enterprise customers
• +3 more outcomes

Named customers10 records

Segments10 records

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration2 records

AI capability11 records

Feature6 records

Partnerships

One partnership is on record.

• Tech DatacoreChannel Partner/ Reseller/ Distributor · 16 April 2026Tech Data serves as the preferred distribution partner for Network Science's NSOffice.AI platform across India, with plans to expand into the Asia Pacific and Japan region. Network Science recognizes Tech Data as its preferred go-to-market and channel partner. The partnership combines Network Science's platform and advisory services with Tech Data's Destination AI and AI Game Plan initiative to help enterprises overcome barriers to AI adoption and scale beyond pilot projects.

Scale indicators5 records

Recent moves5 records

Expansion highlights5 records

Direct peers

• C3.ai: C3.ai offers an enterprise AI platform that pre-builds industry applications and integrates with ERP/CRM/SCM systems, directly comparable to NSOffice.AI's vertical-agnostic, connector-driven approach to enterprise AI deployment.
• Glean: Glean is an enterprise AI search and assistant platform that connects to workplace data sources (CRM, documents, collaboration tools) and delivers context-aware answers — directly comparable to NSOffice.AI's enterprise search, knowledge retrieval, and Personal/Functional/Enterprise context layering.
• Moveworks: Moveworks provides an enterprise AI agent platform for IT, HR, and finance workflows, integrating with systems like Workday, ServiceNow, and Salesforce — comparable to NSOffice.AI's autonomous workflow execution across ERP/CRM/HRMS for back-office functions.
• Aisera: Aisera provides an enterprise AI agent platform with autonomous workflows, integrations to business systems (Salesforce, ServiceNow, Workday), and a focus on IT/HR/customer-service automation — overlapping NSOffice.AI's System of Action agent stack and connector strategy.
• Amelia (SoundHound for Business): Amelia provides an enterprise AI agent platform for customer service, IT, and back-office automation with multi-LLM support and enterprise integrations — directly comparable to NSOffice.AI's autonomous agents and multi-foundation-model orchestration.
• Kore.ai: Kore.ai offers an enterprise conversational and agent AI platform with multi-LLM orchestration, integrations to enterprise systems, and a focus on regulated industries — closely aligned with NSOffice.AI's multi-foundation-model support and enterprise governance positioning.

Emerging players

• H2O.ai: H2O.ai offers an enterprise AI platform including agentic AI applications, predictive analytics, and integrations with enterprise data systems — partial overlap with NSOffice.AI on the predictive modeling and connector ecosystem dimensions.
• DataRobot: DataRobot provides an enterprise AI/ML platform with model lifecycle management, connectors to enterprise data sources, and governance tooling — partial overlap with NSOffice.AI on the predictive analytics and governance layers, though more focused on classical ML than autonomous agents.

Broad incumbents

• Palantir Technologies: Palantir's Artificial Intelligence Platform (AIP) is an enterprise AI orchestration layer that connects to operational systems (ERP, CRM, sensors) and deploys AI agents with governance — the closest analogue to Network Science's 'System of Context' architecture, though Palantir operates at much larger scale and broader scope.
• Salesforce (Einstein / Agentforce): Salesforce's Einstein and Agentforce embed AI agents, governance, and data connectivity into the world's #1 CRM platform, directly overlapping NSOffice.AI's CRM-integrated workflows, and representing the most powerful bundled incumbent competitor.

Market position

Strengths1 record

Weaknesses1 record

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/NetworkScience3
• YouTubeyoutube.com/channel/UCgUIMPqg8wo3vqXonjT4ZKA
• LinkedInlinkedin.com/company/networkscience

Compliance2 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Network Science