Investor Presentation · April 2026
Df-OS Digital Factory Operating System logo

Df-OS.
From PMF to
Profitable Scale

Digital Factory Operating System — a proven enterprise-grade platform transforming factories into connected, AI-enabled smart factories.

20K+

Daily Active Users

650+

Factories Digitized

70%

Gross Margin

Confidential · For Authorized Recipients Only
Modern factory floor with automated machinery, industrial smart manufacturing environment
01

Product Stack

Layer 3

Autonomous Factory

Vish LRM · Decision AI

Layer 2

Intelligence Engine

Vish LRM · Reasoning

Layer 1

Df-OS Platform

Process Digitization

Deck Contents

02The Problem
03Product Stack Architecture
04Our Solution
05Vish LRM
06Traction & Clients
07Market Opportunity
08Business Model
09Competitor Analysis
10Financial Inflection
11Investment Thesis
02
The Problem
Slide 02 · The Problem

Disconnected by Default.

Factories are not data-ready — and the gap is widening.

85%

Not Data Ready

Of factories globally are not collecting data through any system — ERP, MES, SCADA, or IIoT

Source: SIRI by World Economic Forum

100K

Factories Not AI-Ready

Factories globally with $15M+ revenue each — not data-ready for AI. Total market: $2.5 Trillion

Massive greenfield opportunity

95%+

Weak Process Infrastructure

Of shopfloors have weak process infrastructure — largely legacy, manual, and shadow IT-based

Excel, WhatsApp, paper-based SOPs

The Diagnostic

Gap

Siloed organizations with poor cross-discipline use cases across R&D, production, quality, safety, logistics

Gap

Manual/paper processes and shadow IT — Excel, Word, WhatsApp, phone-based workflows

Gap

Lack of integration and data discontinuity across PLM, MES, ERP, and engineering systems

Root Cause

Poor shopfloor connectivity and weak external collaboration with regulators, suppliers, customers

Core Insight

“Factories run on processes, not machines. Every solution digitizes machines. The process layer remains untouched.”

0

Process-layer solutions at scale

Market opportunity remaining

03
Product Stack Architecture
Slide 03 · Product Stack Architecture

Three Layers. One Unified Platform.

From process digitization to autonomous factory intelligence.

Layer 3

Autonomous Factory

Vish LRM · Decision & Action

03

Self-optimizing operations. Autonomous recommendations, workflow adjustments, and predictive interventions.

Autonomous process optimizationPredictive maintenance triggersReal-time decision execution

Layer 2

Intelligence Engine

Vish LRM · Reasoning & Insight

02

Factory-trained reasoning model that interprets process data, identifies patterns, and generates actionable intelligence.

Anomaly detection & root causeBottleneck predictionPerformance benchmarking

Layer 1

Df-OS Platform

Process Digitization & Data Capture

01

No-code factory operating system that digitizes every SOP, workflow, and process — creating the structured data foundation.

No-code process builderStructured data captureCross-plant deployment

Data Flow Architecture

01👷Worker executes process on shopfloorInput
02📊Df-OS captures structured data in real-timeCapture
03Data streams to Vish LRM engineProcess
04🧠Vish reasons & generates insightReason
05Action recommendation delivered to managerAct
06🔄Outcome feeds back to improve modelLearn

The Flywheel Effect

More plants → More process data → Better Vish LRM → More value per plant → More plants.

More Data

Better AI

More Value

04
Our Solution
Slide 04 · Our Solution

Df-OS: Hyper-Integrated Manufacturing Apps

Create AI-enabled manufacturing apps in 3 easy steps.

01

Create Digital Blueprints

Step 1

Build the foundation for scalable transformation. Digitize core processes visually and modularly — map every process, role, and rule into a digital layer. No coding required.

< 4 hrs to deployAny process typeNo-code builder
02

Connect Silos

Step 2

Integrate blueprints with real-time data streams. Break data silos by linking machines, people & processes — enable seamless information flow across departments and supply chains.

Real-time data streamsERP/PLC/SCADA integrationCross-plant visibility
03

Intelligent Decision Making

Step 3

Turn connected data into AI-driven decisions. Let AI guide actions based on live operational insights — automate what can be, escalate what must be handled manually.

AI-powered automationLive dashboardsEscalation engine

Key Platform Advantages

Built for Scale

50+ factories/month rollout

Lightweight Deploy

Works with existing ERP/PLC/SCADA

No-Code Customization

1/12 time-to-floor for new initiatives

Shift-Aware Architecture

Designed for 24×7 FMCG operations

Competitive Positioning

CapabilityDf-OSIoTERPMES
Process-level digitization
No-code deployment
Human workflow capture
Works without machines
AI reasoning layer
Deploy in weeks
Shift-aware architecture

Df-OS is the only platform designed ground-up for process-layer digitization with native AI readiness.

Product Demo

See Df-OS in action — live platform walkthrough

05
Vish LRM
Slide 05 · Vish LRM

Knowledge Topology Engine — Graph RAG for Factories.

Factory SQL → Semantically enriched knowledge graph → Natural language intelligence.

🏭

650+

Factories

Exclusive training data

📋

10K+

Processes

Digitized & mapped

5–18ms

Retrieval

Warm graph latency

🔒

4-Layer

SQL Security

Zero raw DB access

How Vish LRM Works

🏭

Factory SQL Database

Raw schema, machine records, production logs

🔗

Knowledge Topology Engine

7-stage pipeline → enriched graph

📊

Knowledge Graph

Typed edges, clusters, confidence weights

🤖

Reasoning Agent

Graph traversal → SQL → insight

Factory Intelligence

NL answers, dashboards, OEE reports

Graph RAG vs. Vector RAG

Vector RAG

🔴Flat topology
🔴High hallucination
🔴20–80ms latency
🔴Full re-embed on change

Graph RAG

🟢Typed-edge hierarchy
🟢Low hallucination
🟢5–18ms latency
🟢Delta ingestion only
Hallucination Reduction~70% lower

7-Stage Knowledge Topology Pipeline

DeterministicAlgorithmicRL-LearnedLLM-Driven
📥
01

Schema Ingestion

Deterministic
🗂️
02

Schema Layer

Deterministic
🌡️
03

Region Analysis

Deterministic
🔗
04

Clustering

Algorithmic
05

Learned Filters

RL
🔍
06

Join Discovery

RL
🧠
07

LLM Summarise

LLM
🔄

Self-improving loop: Query traffic → confidence signals → Stage 4 cluster dendrogram self-corrects over time.

5-Layer System Architecture

5 · Generation

LLM · Analyst Mode · Deep Research

⚙️

4 · Processing

Query Encoder · Agent Orchestrator

🔍

3 · Retrieval

Schema Search · SQL Generation · Ranking

🕸️

2 · Graph DB

Topology Graph · Ontology · Middle Table

🗄️

1 · Data Sources

DDL/FK · High-Valence Rows · Query Logs

The Data Flywheel

🏭More Plants
📊More Data
🧠Better AI
💡More Value
↩ Compounding moat

Query Modes

💬

Analyst Mode

NL Q&A over factory data

📑

Deep Research

Full narrative + KPI reports

🤖

Autonomous

Self-optimizing decisions

06
Traction & Clients
Slide 06 · Traction & Clients

Enterprise Adoption at Scale.

Proven ROI across India's largest manufacturers.

0+

Daily Active Users

Across all factories

0+

Factories Digitized

FMCG, Auto, Electronics

0+

Processes Digitized

Structured data streams

0+

Machines Connected

IoT & sensor integration

Active Users — Client Wise

Companies with most active users

  • Heromoto2,122
  • PPAP501
  • Amber421
  • Mondelez333
  • SKH278
  • CEAT218

Df-OS Adoption Analysis — FY 2025-26

Total Submissions

1.12M

Avg Daily

3,401

Enterprise Clients

20

Active Users: Aug vs Feb (per client)

Total Submissions by Client

Submission Growth % (Sep–Feb)

≥200% growth
100–199%
<100%
New Activation

Marquee Clients

UN

Unilever

FMCG

HE

Hero

Automotive

DA

Dabur

FMCG

IT

ITC

Conglomerate

MA

Marico

FMCG

NE

Nestlé

FMCG

DA

Danone

FMCG

TV

TVS

Automotive

BA

Bajaj

Automotive

MO

Mondelez

FMCG

SU

Suzuki

Automotive

AM

Amber

Electronics

FY 25-26 Revenue

₹7 Crore

Strong year-over-year growth

Gross Margin70%

Proven ROI — Case Studies

World's Biggest FMCG (Unilever)

14→1 day

AI planning cycle

More SKUs

Labor productivity

$924K/yr

Total impact

First Lighthouse Factory in NE India — now a global blueprint for 10+ sites. 74% boost in product superiority.

India's Major AC Manufacturer

60%→70%

OEE improvement

+13%

Throughput gain

$24K/yr

Energy savings

$775K/yr

Total impact

OEE increase = $520K/year alone. $120K/year throughput savings.

World's Largest 2-Wheeler Manufacturer (Hero)

430+

Vendor audits digitized

40%

QAV cycle time reduction

38%

NG part rejections down

$1.12M/yr

Total impact

India's largest digital vendor transformation. FTR increased by 25%.

07
Market Opportunity
Slide 07 · Market Opportunity

A Once-in-a-Generation Market.

100,000 factories globally — not data-ready, not AI-ready. The process layer remains untouched.

$5B+

TAM

Manufacturing process digitization market per year

100K

Target Factories

Factories with $15M+ revenue — not data-ready for AI

85%

Greenfield

Of factories collecting zero operational data today

Why Now

Catalyst

AI maturity has reached a tipping point — factories need structured data to unlock LLM value

Catalyst

Post-COVID supply chain disruptions accelerated digital transformation mandates globally

Catalyst

Regulatory pressure (ESG, traceability, compliance) forcing process documentation at scale

Window

No dominant process-layer OS exists — the market is wide open for a category-defining platform

Expansion Vectors

USA & UAE Expansion

Entering high-value markets with proven enterprise playbook and existing client referrals

Existing Customer Penetration

Deepening wallet share across 650+ digitized factories — upsell Vish LRM and advanced modules

AI Roadmap Monetisation

Vish LRM as a standalone SaaS product — factory-trained reasoning model with unique data moat

08
Business Model
Slide 08 · Business Model

Built to Scale.

Annual Recurring Revenue (ARR) model — land on base platform, expand with nodes, add-ons, and solution packages.

ARR / Recurring Year on YearNode-Based ExpansionLand & ExpandVolume Discounts
Platform AARR

Df-OS Platform

Base platform + node library. Run any process in production.

₹15,00,000

Platform Cost / year

₹50,000

Per Node / year

₹2,00,000

Dashboard Base Pack

₹50,000

Add-on Pack of 2

* Mandatory base pack. Customer buys nodes separately to run production processes.

Platform BARR

Vish Platform

AI reasoning layer. Works on base pack of Platform A.

₹15,00,000

Base Cost / year

500 Tokens

Included / year

₹36,00,000

1.5Bn OTs / year

5 Users

Pool of OTs

* Requires Platform A base pack. Multiple OT bundles can be added.

Add-on Node Pricing Tiers

Volume discounts apply automatically — upsell triggers next-tier pricing

Per Node / Year

1–9

₹50,000

0%

10–24

₹47,500

5%

25–49

₹45,000

10%

50–74

₹42,500

15%

75–99

₹40,000

20%

100–149

₹37,500

25%

150–200

₹36,000

28%

200+

₹35,000

30%

For IoT — OEE License

1 node / machine · ₹50,000/node

For IoT — CBM

1 node / 5 sensors · ₹50,000/node

For IoT — EMS

1 node / edge device · ₹50,000/node

Solutions Packages

ARR · Per Location

ESG / Location

₹15,00,000

Expense Management / Location

₹20,00,000

Digital Twin / Location (Sim Engine)

₹2,00,000

Control Tower Solution – COC

₹2,00,000

Traceability / Location

₹50,00,000

Project Management Tool / Location

₹15,00,000

* All solutions require Platform A base pack. Priced per location/year.

Revenue Model at a Glance

🔁

License Type

ARR

Annual Recurring Revenue

📅

Validity

Apr 2026–Mar 2027

Renewal at prevailing price

📈

Upsell Trigger

Auto Tier Drop

Next-level discount on upsell

🔒

Renewal Policy

100% Advance

5%/month penalty on delay

09
Competitor Analysis
Slide 09 · Competitor Analysis

Why Df-OS Wins.

Positioned at the intersection of process digitization, AI, and factory-native deployment — a space no incumbent occupies.

Combined Stack

Combined Benefits of Df-OS + Vish.ai

🏭

End-to-End Factory Intelligence

Df-OS digitizes every process layer while Vish.ai adds a GraphRAG reasoning engine on top — giving factories both structured execution and intelligent querying from a single unified stack.

No-Code Deployment + Instant Answers

Factory managers deploy apps without code via Df-OS and get sub-18ms AI-powered answers via Vish.ai — eliminating both IT dependency and decision latency simultaneously.

🔗

Process Data × Knowledge Graph

Df-OS captures 10,000+ live process records; Vish.ai converts them into a dynamic knowledge graph — creating a compounding data moat no competitor can replicate.

🛡️

Secure, On-Premise AI

Vish.ai's 4-layer security model (AES-256, RBAC, audit trails, air-gap support) ensures enterprise-grade data sovereignty — critical for regulated industries using Df-OS.

📈

Continuous Learning Loop

Every new factory onboarded via Df-OS enriches Vish.ai's training corpus — creating a self-reinforcing flywheel where scale drives AI accuracy and AI accuracy drives scale.

🌐

Cross-Plant Visibility + AI Benchmarking

Df-OS aggregates multi-plant operations; Vish.ai benchmarks performance across all nodes — enabling group-level insights and AI-driven recommendations at enterprise scale.

Df-OS + Vish.aiPlatforms Combined
650+Factories Covered
10,000+Processes Digitized
5–18 msAI Retrieval Speed
No-Code + On-Prem AIDeployment Model
Full capability
Partial / limited
Not supported
Dimension
Df-OSProcess OS
SAP MEERP/MES
SiemensMES
RockwellSCADA
HoneywellDCS
Azure IoTIoT
Process-level digitization
No-code deployment
Human workflow capture
Works without machines
AI reasoning layer
Deploy in weeks
Shift-aware architecture
Cross-plant visibility
No-code customization
Factory-native design
Score / 10103+4~3+3~1+2~1+1~1+2~

Df-OS Competitive Moats

Data

Exclusive training data from 650+ factories — 10,000+ digitized processes no competitor can replicate.

Process

Only platform targeting the process layer — not machines, not ERP, not IoT. An entirely uncontested space.

No-Code

Non-technical factory managers can build & deploy apps in hours — 1/12th the time of any competitor.

Network

Every new factory makes Vish LRM smarter — compounding data moat and AI advantage over time.

GTM

15+ GTM partners (KPMG, EY, Grant Thornton) co-selling into enterprise accounts across sectors.

Positioning Map

AI Readiness →
Process Depth →
IoT / CloudDf-OS ZoneLegacy MESERP / MES
Df-OS
SAP ME
Siemens
Rockwell
Honeywell
Azure IoT

Df-OS occupies the high process-depth × high AI-readiness quadrant — a space no incumbent currently serves.

10
Financial Inflection
Slide 10 · Financial Inflection

₹7 Cr FY 25-26 Revenue.

Strong YoY growth with 70% gross margin — path to profitability clear.

Revenue Growth (₹ Crore)

2× YoY
FY 22-231.2CrFY 23-242.5CrFY 24-255.5CrFY 25-267CrFY 26-27E35Cr0Cr10Cr20Cr

₹7 Cr

FY 25-26 Revenue

Strong year-over-year growth

70%

Gross Margin

Strong unit economics

₹2.6 Cr

Total Assets

Strong balance sheet

₹75L

Liabilities

<30% of assets — capital efficient

Capital Efficiency

Total Assets₹2.6 Cr
Total Liabilities₹75L
Debt-Free Ratio>70%

Valuation Journey

2020₹9 CrFounded
2023₹45 CrSeries A
2025₹94 CrPMF achieved
2026₹170 CrCurrent round

19× growth from 2020 → 2026

11
Investment Thesis
Slide 11 · Investment Thesis

Disrupt without Disruption.

The right platform, at the right moment, with the right proof.

01

Enterprise Adoption

Deployed at Unilever, Hero, Dabur, ITC, Marico — not a pilot, a platform. 650+ factories, 20K+ daily users.

02

Strong Financials

₹7 Cr FY 25-26 revenue, 2× YoY growth, 70% gross margin. ₹2.6 Cr assets vs ₹75L liabilities. ₹35 Cr FY 26-27E projection.

03

Massive Market

$5B/year TAM. 100K factories globally not data-ready. 85% collecting zero data. Greenfield opportunity.

04

AI Intelligence Layer

Vish LRM: factory-trained reasoning model. Unique data moat. 10,000+ digitized processes — no competitor can replicate.

The Vision

“UPI for Factories — a universal process layer. Vish LRM as the AI brain on top. Default operating system for the $5B+ manufacturing process economy.

Df-OS

Confidential · 2026