Intellect Design Arena Ltd · NSE:INTELLECT
Intellect Design Arena — Investor Presentation (May 2026)
41 slides from Intellect Design Arena's investor presentation, May 26, 2026
Slide 1: Updates on Investor Conference
IDAL/20256-27/SE/29 May 26, 2026 National Stock Exchange of India Ltd. Scrip Symbol - INTELLECT BSE Ltd. Scrip Code - 538835 Dear Sir/Madam, Sub: Updates on Investor Conference 1. This is to inform that the Company’s representatives will be participating in the following investor conference for grou
Slide 2: Enterprise AI: The Next Frontier
Enterprise AI: The Next Frontier Opportunity & Strategic Vision 2026 Arun Jain Chairman & Managing Director Intellect Design Arena Limited
Slide 3: Legal Disclaimer
Legal Disclaimer Strategic Discussion Only This document is provided for informational and educational purposes to share strategic perspectives on Enterprise AI. It does not constitute a financial forecast, revenue guidance, or an offer for investment. It is intended as a friendly briefing to learn fr
Slide 4: Executive Agenda
Executive Agenda Section 1 Section 2 Section 3 Section 4 The Impact of AI Defining the AI Stack: Tech Stacks and Human Where AI Works: From ML to Agentic AI Benefits: The Enterprise Navigating Promises vs Reality Reality Section 5 Section 6 Section 7 Conclusion At Intellect: The Purple Revenue Perspec
Slide 5: The Impact of AI
SECTION 01 The Impact of AI
Slide 6: The Massive Financial Tech Tailwinds
The Massive Financial Tech Tailwinds Macro Value Injections According to comprehensive industry consensus models, GenAI stands to inject between $200 Billion and $340 Billion in annual $340B Annual Global Banking AI Value Lift operating value directly into the global banking sector. This is not an i
Slide 7: The Dual Impact of AI
The Dual Impact of AI IT Industry Transformation Global Sector Influence Shift from labor-intensive to intelligence-dense models Industrialisation of cognitive decision-making Compression of development and testing life cycle Hyper-personalisation of the digital experience Competitive edge redefined
Slide 8: Three Pillars of AI Impact
Three Pillars of AI Impact IT Industry Mainstream Industry Intellect Design Migration from manual coding to Transition from legacy batched AI-First design since 2023. autonomous multi-agent processing to real-time deterministic Transitioning from point-solutions to orchestration. Structural compress
Slide 9: AI Impact on Intellect
AI Impact on Intellect Intellect is pivoting from a product company to a full-stack AI-first 80% platform company Architectural Advantage: Leveraging eMACH.ai to integrate intelligence at the core Intellectual Property: 36+ Patents securing the deterministic AI moat Potential acceleration in non-func
Slide 10: The AI Taxonomy: What is AI?
SECTION 02 The AI Taxonomy: What is AI?
Slide 11: The Evolution of AI
The Evolution of AI Algorithmic AI Generative AI Agentic AI Machine Learning and structured Foundation models capable of Autonomous agents with algorithms focusing on pattern creating new content, but often self-judgment capabilities, designed recognition and linear logic lacking deterministic relia
Slide 12: The Modern Ecosystem
The Modern Ecosystem Foundation Stacks Leading Frontier Tools Vectorization: The process of converting data into mathematical Orchestrating intelligence through best-of-breed ecosystem dimensions for AI retrieval components: Neural Networks: The "wiring" that enables deep learning and complex infere
Slide 13: 3D Intelligence vs Linear Logic
Cognitive Amplification 3D Intelligence vs Linear Logic The ultimate outcome of the AI stack is not just automation, but Cognitive Amplification — augmenting human intelligence to solve multidimensional problems with higher accuracy and speed
Slide 14: Tech Stacks Translating to Human Benefits
SECTION 03 Tech Stacks Translating to Human Benefits
Slide 15: Progression of Automation
Progression of Automation CNC Machines Robotics Robotic AI Autonomous Systems Deterministic Programmable Introduction of Self-decision AI with sequence of automation for self-judgment within deterministic mechanical actions repetitive tasks fixed boundaries outcomes
Slide 16: What is Enterprise Software?
What is Enterprise Software? Multidimensional Architecture Complexity Index Enterprise systems are not simple apps; they are MDML The high complexity index means every small change generates more (Multi-dimensional Multi-layer) constructs: work disproportionate to the cost savings promised by legacy
Slide 17: Software Workstreams
Software Workstreams 01. Requirements 02. Architecture 03. Build Managing the "What" and "Why" Designing the structural integrity The core development and engineering phase 04. Testing 05. Security 06. Maintenance Functional & Non-functional Inherent defense-in-depth design 24x7 operational reliabil
Slide 18: Problems We Solve for the Industry
Problems We Solve for the Industry Customer Experience Operational Excellence Digital Experience design and hyper-personalized interaction layers Streamlining efficiency through intelligent process automation Risk & Security Product Innovation Advanced risk management and 24/7 security design protoco
Slide 19: Heatmap: AI Impact of Workstreams
Heatmap: AI Impact of Workstreams Requirement Management Low (25%) Solution Architecture Low (30%) Solution Build Functional Testing Non-Functional Testing Maintenance Low (20%)
Slide 20: Where is AI Working & Where is it Not?
SECTION 04 Where is AI Working & Where is it Not?
Slide 21: AI Success Domains
AI Success Domains AI is delivering measurable value today in domains where "close enough" is effective or where high-speed extraction is key: Customer Service Voice Systems Doc Extraction Managing inquiries where 80% Natural language recognition and Rapid identification and extraction of accuracy fu
Slide 22: The Benefit Gap
The Benefit Gap Why the Promise is Unfulfilled Systemic Issue Cost Barrier: Extremely high LLM and Token expenditure Gen AI is often applied linearly to 3D enterprise problems. This Wasted Intelligence: Massive token waste due to poor architectural mismatch creates hallucinations and reliability fai
Slide 23: Intellect Research #1
Intellect Research #1 Linear AI Application 3D Enterprise Intelligence One input leads to one output. Great for chat, poor for complex Context-aware, multidimensional reasoning. Cross-referencing banking transactions. regulations, historical data, and current state. Enterprise Problems are 3D. They
Slide 24: Human intelligence vs AI
Human intelligence vs AI PERSPECTIVE Intent/purpose Belief Imagination Empathy Experience KNOWLEDGE S1 S2 S3 S4 EXPERTISE Courage Reasoning Judgement Decisioning Thoroughness Sense of Urgency TRAITS
Slide 25: Intellect Research #2: The 14-Layer AI Iceberg
Intellect Research #2 The 14-Layer AI Iceberg Just as Palantir architects intelligence, Intellect’s 14-layer architecture USER ensures orchestration beyond the surface. INTERFACE Visible: Digital Interface & Simple Bots. 14 HIDDEN Deep Layers: Vector Databases, Contextual Reasoning, Deterministic LA
Slide 26: Wiring of 14-Layer Architecture of AI
Wiring of 14-Layer Architecture of AI UI for AI Agent APIs Below the surface lurks the real challenge of ❑ Out of Box Conversation UI ❑ Agent APIs sustainable enterprise AI, capable of business ❑ Embed in 3rd Party Messenger App ❑ Multi-Agent APIs impact delivery at scale ❑ Build Your Own Agent App
Slide 27: Intellect Research #3: Intelligence Accuracy Framework
Intellect Research #3 Intelligence Accuracy Framework K R C Knowledge Reasoning Calculation The base layer of truth and enterprise The logic applied to knowledge to Deterministic verification of the data derive intent reasoned output
Slide 28: At Intellect: The Purple Fabric Platform
SECTION 05 At Intellect: The Purple Fabric Platform
Slide 29: Purple Fabric
Purple Fabric Business Impact AI Platform Purple Fabric is engineered not for experimentation, but for solving Core DNA high-consequence enterprise problems Deterministic Knowledge: Ensuring the AI never operates outside the bounds of defined enterprise 8 18 truths Stacks of Technology Research Group
Slide 30: Corporate Knowledge Capital
Corporate Knowledge Capital The Macro Real Estate Shift Over the last 30 years, global banks invested billions to deploy Private Cloud Realities modern relational databases to manage structured tracking data Systemically critical financial organizations cannot risk shared public cloud multi-tenant ex
Slide 31: Defensible Infrastructure Moats
Defensible Infrastructure Moats 36 22+ Granted Global Patents Active Multi-Agent Patents in Pipeline Domain Specialization Upcoming Horizons Generic technology suppliers view banking logic as a secondary Rolling out across subsequent system iterations: PF Zero-Trust Security addressable market verti
Slide 32: 5 Phases of Platform Adoption
5 Phases of Platform Adoption 1 2 3 4 5 Platform Platform Extensive Success Scale Out Design Education & Conversation, References Awareness POCs & Early Wins
Slide 33: Stages of Enterprise AI Progression
6 Stages of Enterprise AI Progression 01 02 03 04 05 06 Ad-hoc Manual Single tasks Information Black box Pilot experiments chatGPT labour to to silos to the risks to to Real Business usage to Copilot-powe collaborative ‘Corporate production-gr Impact Institutional red intelligence Brain’ ade trust M
Slide 34: Our Promise and Thesis
Our Promise and Thesis Enterprises will need their own platform like ERP to manage their knowledge moat. Large banks will have their own platform on their own cloud. All employees of Service sector must participate in AI journey not use case based. Enterprises will need integrated Digital workforce
Slide 35: Revenue Forecast & Operational Impact
SECTION 06 Revenue Forecast & Operational Impact
Slide 36: Purple Fabric's Revenue Impact
Purple Fabric’s Revenue Impact AI-First Products Internal Productivity Better value and winning rates across our core offerings. PF-enabled Utilizing PF for Intellect's own engineering and operations, driving products deliver measurable outcomes that legacy competitors cannot significant cost reducti
Slide 37: eMACH.ai: Cognitive Disciplines
eMACH.ai: 4 Cognitive Disciplines Design Thinking First Principles Framework Thinking System Thinking User-centric problem Deconstructing Structured scalability Integrated, holistic logic solving complexity Result: Fully composable and contextual products that define the next generation of banking so
Slide 38: Operationalising AI for Business Impact
SECTION 07 Operationalising AI for Business Impact
Slide 39: Monetisation & GTM Strategies
Monetisation & GTM Strategies Revenue Stream Application Area Value Proposition Direct Impact AI Insurance Underwriting, Submissions 24/7 automated ingestion & risk assessment. Applied Modules PF Credit, Trade, GRC, Advisory AI-First overlays for legacy structural cores. Platform (Big Bet) Sovereign
Slide 40: The Outlook
Conclusion: The Exciting AI Track The Outlook “We have built something which is unique and perhaps much ahead of the market need. I am here to learn from you on how we can monetize this asset, together”
Slide 41: © 2026, Intellect Design Arena Limited. All rights reserved. These materials are confidential and
© 2026, Intellect Design Arena Limited. All rights reserved. These materials are confidential and proprietary to Intellect and no part of these materials should be reproduced, published in any form by any means, electronic or mechanical including photocopy or any information storage or retrieval sys
Intellect Design Arena — Investor Presentation (May 2026) on 6ix