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This Investor Presentation ("Presentation") has been prepared by MADignite.ai, Inc., a Delaware C-corporation, and contains only preliminary information. It must be read in conjunction with the full Private Placement Offering Memorandum and all Risk Factors therein.

CONFIDENTIAL & PROPRIETARY. Any use of this material without specific permission of MADignite.ai is strictly prohibited. By proceeding, you confirm you are an accredited investor as defined under the Securities Act of 1933, as amended.

This document does not constitute an offer to sell or solicitation of an offer to purchase any security. An investment in this Offering is highly speculative — an investor could experience an entire loss of principal, and the investment is illiquid for an indefinite period of time.

Key Risk Factors Include:

  • Offering conducted on a "best efforts" basis with no minimum requirement to close.
  • Early-stage business with limited operating history and no assurance of commercial success.
  • Future capital needs are uncertain; additional financing may result in significant dilution.
  • No public or secondary market exists or is anticipated for these securities.
  • Distributions are not guaranteed.
  • AI-related regulatory requirements continue to evolve and may affect product deployment.
  • The platform may not perform as intended or deliver projected outcomes.
  • Enterprise sales cycles are long and unpredictable, which may delay revenue generation.
  • Competition from more established or better-capitalized companies may reduce demand.
  • The pre-seed raise may not be sufficient; no guarantee additional capital will be available on favorable terms.
  • Success depends on the ability to recruit and retain key technical and operational talent.
  • Forward-looking statements and projections are not guaranteed and should not be relied upon.

Any simulations, projections, valuations, and statistical analyses herein are based on subjective assessments and assumptions. Past performance is not indicative of future results. THESE ARE HIGHLY SPECULATIVE AND ILLIQUID SECURITIES INVOLVING A HIGH DEGREE OF RISK.

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Reg D 506(c) · Pre-Seed Raise

Autonomous Execution for the Enterprise

MADignite™ is the AI-native platform that connects strategy, execution, and value realization - recovering millions in value that enterprise initiatives consistently leave on the table.

We are raising $5M to unlock value realization across $10T+ in enterprise initiatives in an AI-driven world.

$10T+ Annual Enterprise Initiative Spend
$4T Lost to Poor Execution
$5M Pre-Seed Raise Target
10+ Active Pilot Discussions

Enterprises Govern Work.
Not Value.

Big promises of savings and growth. Outcomes consistently fall short. Expensive consultants patch symptoms, not execution. Business cases underdeliver - only 60–65% of value is realized.

$3–4T Value lost annually due to poor execution
65% Maximum value realized from enterprise initiatives
1
Blind Spots
Risks and issues surface too late - after they've already eroded value and disrupted timelines.
2
Unmanaged Dependencies
Cross-team dependencies slip through the cracks, creating cascading delays across functions.
3
Fragmented Workplans
Work is siloed across teams and tools with no unified visibility into cross-functional execution.
4
Poor Value Governance
Activity is tracked meticulously. Value is not. Tasks completed ≠ value realized.
5
Manual Overload
Teams stuck updating status decks instead of driving outcomes that matter to the business.

MADignite™ - Value-Driven Execution

A new category of enterprise software. AI agents collaborate with people to orchestrate execution, surface risks, manage dependencies, and track value realization - continuously, in real time.

Connect Execution to Value
Every milestone linked directly to measurable business outcomes. Value drift flagged before it compounds. No more activity-tracking masquerading as governance.
Dynamic, Adaptive Workplans
AI agents build and continuously adapt workplans as conditions change. Static plans become dynamic execution engines that evolve with your initiative.
Proactive Risk & Dependency Management
Cross-functional dependencies detected and corrected in real time. Risks surfaced predictively - not reactively - with clear mitigation paths.
Orchestrated Cross-Functional Work
A unified execution layer across Finance, Legal, HR, IT, and Operations. No more siloed workstreams. No more missed handoffs.
$10–15M

Recovered per $100M execution initiative - the MADignite management objective

How MADignite Drives Value Realization

Today's Enterprise Execution Architecture
Project & Task Management
🟩 MS Project
✅ Smartsheet
🔷 Jira
— Disconnected Workstreams —
Financial & Planning Systems
🗄 ERP (SAP/Oracle)
∧ Anaplan
📊 CRM
— Isolated Value Systems —
Reporting & BI Tools
📈 Power BI
📊 +tableau
— Fragmented Reporting —
Gaps & Silos
⚙ Dependency Issues→ ? ? ?⏱ Delayed Risks
Are We Achieving the Value?
📗 Excel ✉ Emails 📅 Meetings 📋 RAID Logs
— Spreadsheets & Ad-Hoc Processes —
Enterprise Execution with MADignite.AI
Value Governance
All Work Aligned to Value Objectives
MADignite.AI
Execution Intelligence Layer
Value Mapping | Risk & Dependency Engine
Real-Time Monitoring | AI Insights
Value & Benefit Tracking
Work Management
Project Plans · Agile Tasks · Spreadsheets
🟩 🔷 📗
Financial & KPI Systems
🗄 ERP · ∧ Anaplan
Collaboration & Reporting
Power BI · Tableau · Slack
No Work Without Clear Value Alignment
  • - Tasks and activity drive plan
  • - Work disconnected across tools
  • - Value measured after the fact
  • Value-driven execution across all work
  • Dependencies and risks managed proactively
  • Value continuously measured and optimized in real time

Built for Enterprise Scale

Layer 1
Value Governance
Value Intelligence · Executive Summary · Compliance · Data Room
Layer 2
Intelligence & Orchestration Engine
Orchestrator · Workplan · Dependencies · Risk · Task Structuring · Industry Intelligence
Layer 3
Enterprise Work Execution
Finance · Legal · HR · IT · Operations · Sales · Procurement
Layer 4
Enterprise Systems & Data
MS Project · Jira · Smartsheet · SAP · Anaplan · Oracle · Power BI · Tableau · Slack

Value Across Real Scenarios

Use Case 01
Global ERP Rollout
120 countries, 45,000 employees tracked in disconnected spreadsheets
Regional PMOs misaligned, operating independently
High risk of cost overruns and business disruption
Auto-detects cross-region dependencies (e.g., payroll before finance cutover)
Unified sequencing with real-time visibility
Avoids millions in overruns and prevents value leakage
Use Case 02
Digital Transformation
IT, OT, and Engineering teams operating in silos
Poor sequencing across cybersecurity and network upgrades
Downtime risk eroding expected efficiency gains
Dependencies mapped directly to business value
Risks surfaced early with clear mitigation paths
20–30% improvement in execution efficiency
Use Case 03
Large Bank Merger
Workstreams planned in isolation across functions
IT, HR, compliance dependencies identified too late
Regulatory delays threatening planned synergies
Full dependency visibility with real-time risk alerts
Accelerated integration timelines
Secures high percentage of planned synergies

A $80–120B Opportunity

Total Addressable Market
$80–120B
Enterprise Execution Software - PM, Work & Strategy Execution, Transformation & Orchestration Platforms
Serviceable Addressable Market
$30–50B
Strategic Execution Control Layer - Cross-functional platforms, Transformation & M&A consulting, Enterprise dependency management
Serviceable Obtainable Market
$75–120M
3–5 Year Initial Segment - Fortune 1000 + PE-backed companies, High-complexity programs (M&A, ERP, carve-outs)

The Only Value-Driven Execution Platform

Existing approaches optimize activity - not outcomes or business value.

Competitive Landscape
Capability MADignite Work Mgmt Tools Workflow Automation Consulting
Execution Model Value-driven Task-driven Process-driven Relationship-driven
Business Value Linkage ✓ Direct, measurable ✗ None ~ Limited ~ Discussed, not enforced
Dependency Management ✓ Continuous detection ✗ Blind spots ✗ Static, pre-defined ~ Periodic, manual
Automation ✓ Autonomous AI agents ✗ Manual ~ Requires redesign ✗ Manual coordination
Governance ✓ Real-time, embedded ✗ Retrospective ~ Process-tied ✗ Episodic, exits with engagement
Cost Structure Scalable platform economics Per-seat + labor burden Design + maintenance overhead High-cost, billable model

Proven Across $200B+ in Enterprise Initiatives

Uma Nidmarty
CEO & Co-Founder
Execution transformation leader with 20+ years across Fortune 500 digital transformation, M&A, and operating model redesign. Founder of MAD Advisory. Former executive at Mercedes-Benz, PepsiCo, EMC², Altria Group.
Sandeep Kumar
COO, CMO & Co-Founder
Go-To-Market Strategist with 20+ years scaling enterprise SaaS. Led marketing and category creation across acquisitions, IPOs, and PE transitions. Expert in aligning product, sales, and messaging at global scale.
Shashi Kalsha
CTO & Co-Founder
Founder and CEO of Qodequay. Deep expertise in cloud, AI/VR/MR, and distributed systems. Specializes in modernizing legacy ecosystems into high-performance enterprise-grade architectures.
Rahul Satya
Chief AI Architect & Advisor
AI Architect with 20+ years leading large-scale program execution. Former Amazon leader driving AI technology, brand protection, and learning initiatives. Expert in applying AI to real-world enterprise challenges.
$35B Capital One / Discover Acquisition $35B Kraft Foods Divestiture ~$7B Eli Lilly / Elanco Divestiture ~$8B Elanco / Bayer Animal Health $5B Trinseo Divestiture $3.9B Novartis / Advanced Accelerator Mercedes-Benz Financing Entity $2.7B Allison / Dana Acquisition

Partner With Us to
Transform Enterprise Execution

$5M
Pre-Seed Raise · Reg D 506(c)

We are raising $5M to build the AI-native platform that unlocks value realization across $10T+ in enterprise initiatives. Capital is being deployed across four focused phases.

  • 1
    Build the AI-Native Platform
    Core agentic capabilities and scalable enterprise architecture
  • 2
    Launch, Pilot & Validate
    Deploy MVP, run enterprise pilots, validate product-market fit
  • 3
    Scale Revenue & Customers
    Expand go-to-market, convert early adopters, drive growth
  • 4
    Advance Innovation & Roadmap
    Accelerate AI capabilities and deliver continuous innovation
Year 2
$2M
First paying customers
Year 3
$7M
Expanding customer base
Year 4
$15M
EBITDA positive
Year 5
$27.5M
238 enterprise customers
Capital Allocation (Full Raise)
R&D - $1.14M
Sales & Marketing - $553K
G&A - $513K
Cost of Revenue - $137K

Projections assume full $5M raise. An additional $10–15M in growth capital is anticipated within 18 months. Projections are forward-looking and not guaranteed.

Ready to Realize the Value?

Qualified accredited investors are invited to connect with the MADignite team for an in-depth evaluation and access to the Virtual Data Room.

Investment Banker CIM Securities, LLC
Member FINRA / SIPC