Enterprise AI Cost and Usage Visibility and Control

Pre-Seed Investor Deck

Vision

AI Is The Most Powerful Tool Of Our Generation — And The Most Opaque.

WrangleAI's vision is to bring visibility, control, and efficiency to the world's AI usage.

We believe every organization should be able to harness the full power of AI — without losing sight of cost, accuracy, speed, or responsibility.

"I've worked with C-suite level stakeholders for almost 10 years, I routinely hear about cloud and AI being the wild west. WrangleAI is here to help executives gain control and enable innovation"

— Dave, Our Founder

The Problem We Solve

🔴 Enterprise AI Is A Black Box

Teams are spending hundreds of thousands on AI with zero visibility, control, or optimization

🔴 "Our AI bill doubled overnight"

Teams deploy OpenAI, Claude, Azure AI across departments. Finance gets shocked by £50K monthly bills with no breakdown of what's driving costs.

Real scenario: Marketing chatbot costs £15K/month, but they don't know it until the invoice arrives

Data: 73% of enterprises lack visibility into AI costs across teams (Deloitte State of AI 2024)

🔴 "We have no idea what teams are doing"

CIOs can't see which departments use which AI models, for what purposes, or whether they're getting value for money.

Real scenario: IT discovers 8 different AI tools being used without approval or oversight

Data: 68% of IT leaders report shadow AI adoption across departments (Gartner 2024)

🔴 "We're paying premium for everything"

Teams default to expensive models like GPT-4 for simple tasks that could run on cheaper alternatives, wasting 30-60% of AI spend.

Real scenario: Using £0.03/request GPT-4 for summaries that could cost £0.002 with GPT-3.5

Data: 30-40% of AI spend is wasted on inefficient optimization (McKinsey AI Report 2024)

🔴 "We can't govern what we can't see"

Compliance teams need to monitor AI usage for security, privacy, and regulatory requirements but have no centralized monitoring.

Real scenario: GDPR audit reveals customer data being processed by unmanaged AI APIs

Data: 81% of companies lack proper AI governance frameworks (PwC AI Governance Survey 2024)

✅ WrangleAI: The Enterprise AI Control Center

One platform to see, control, and optimize all AI usage across your organization

✅

Unified Visibility

See all AI costs, usage, and performance across OpenAI, Claude, Azure, Google in one dashboard

Result: Finance knows exactly where every £ goes

✅

Smart Optimization

Automatically route requests to the most cost-effective model without sacrificing quality

Result: 30-60% cost reduction immediately

✅

Enterprise Control

Track usage by team, set budgets, enforce policies, and maintain compliance requirements

Result: CIOs get the governance they need

✅ Bottom Line: Turn AI from a cost center into a controlled, optimized business asset that delivers measurable ROI

Why Now?

🚀 AI Market Explosive Growth

$185B

2023 Market

→

$990B

2027 Projected

40-55% Annual Growth (Bain & Company 2024)

The Cloud Parallel + Data Growth Challenge

Cloud infrastructure was rapidly adopted throughout the 2010s, but most organizations failed to implement governance early. Now AI + exponential data growth create an even bigger challenge.

📊 78% of orgs

Now use AI in at least one function (McKinsey 2024)

📈 175 zettabytes

Global data by 2025 - feeding AI hunger (IDC)

What WrangleAI Enables That No One Else Does

🎯 Real-time routing

Across multiple AI providers automatically

📊 Unified dashboard

All AI costs and performance in one view

"WrangleAI is born out of pain points I've seen in my work across enterprises over the last 6 months... Its go time for AI Cost Governance solutions"

Market Opportunity

AI Cost Management & Optimization

$45B

Total Addressable Market

TAM

$12B

Serviceable Available Market

SAM

$360M

Serviceable Obtainable Market

SOM

Enterprise AI spending: $150B annually, growing 27% CAGR (Forrester, eWeek Research)
30-40% of AI spend is wasted through inefficient optimization (McKinsey)
65% of large enterprises actively using AI, 35% facing cost optimization challenges (Accenture)
AI Data Management market: $25.1B → $70.2B by 2028, 22.8% CAGR (MarketsandMarkets)

💼 Key Buyer Personas & Budget Control

👔

CIOs

Strategic AI governance, cross-platform visibility, executive reporting

💰

FinOps Teams

Cost optimization, budget control, ROI tracking, vendor management

⚙️

Platform Leads

Infrastructure management, developer enablement, operational efficiency

💡 Enterprise buyers need unified dashboards, not just developer tools

TAM Methodology: $150B annual enterprise AI spend × 30% requiring optimization = $45B defensible addressable market. Our revenue projections (Year 1: £179K, Year 3: £4.95M) reflect conservative execution against this opportunity, targeting just 0.01% of TAM by Year 3.

Revenue Growth Forecast (Yr 1-3)

Market Validation: Quantified Customer Pain Points

30-40%

AI spend wasted on inefficient prompts and over-provisioning

(McKinsey AI Report 2024)

73%

Of enterprises lack visibility into AI costs across teams

(Deloitte State of AI 2024)

$500K-$2M

Average annual AI spend per large enterprise

(Forrester Enterprise AI Survey 2024)

WrangleAI Target Impact: 15-30% AI spend reduction through optimization and visibility • Enhanced performance through balanced cost-accuracy-speed optimization

Tiered SaaS + Usage-Based Revenue Model

Developers: £19/mo

Basic tracking + 2 Optimised Keys

Growth: £199/mo

Full features + 5 Optimised Keys

Enterprise: £997+/mo

Unlimited + Infrastructure tracking

Optimised AI Keys: Base model cost + 20-30% uplift for intelligent routing and governance

Revenue Stream

Year 1

Accounts

Year 2

Accounts

Year 3

Accounts

Developers Tier

£46K

200 paid

£137K

600 paid

£274K

1,200 paid

Growth Tier

£95K

40

£501K

210

£1.41M

590

Enterprise Tier

—

0

£239K

20

£958K

80

Usage Revenue (Optimised Keys)

£38K

Early adoption

£485K

Growing usage

£2.31M

High adoption

Total Revenue

£179K

~240 total

£1.36M

~830 total

£4.95M

~1,870 total

264%

YoY Growth (Yr 2-3)

£2,650

ARPU by Year 3

66%

Usage Revenue Mix (Yr 3)

🔍 Usage-Based Revenue Validation

📊 Market Benchmarks

Datadog: 70% usage-based revenue by Year 3
Snowflake: $500K+ ARPU from usage model
Twilio: 2-3x faster growth through usage pricing
AWS AI Services: Pay-per-call drives 80%+ revenue

🎯 WrangleAI Assumptions

Conservative: 20-30% usage adoption vs 70% market norm
Customer value: Save 30% while paying 20% uplift = net 10% savings
Early indicators: 10 prospects identified value prop
Platform validation: MVP architecture proven scalable

💡 Revenue model validated against successful usage-based SaaS companies with similar value propositions

Competitive Positioning: Enterprise AI Governance

🎯 WrangleAI: The Only Enterprise-Grade AI Control Platform

Built for CIOs, FinOps, and Platform Leads - Not Just Developers

Company

Target User

Key Capabilities

Missing Enterprise Features

Enterprise Ready

WrangleAI

CIOs, FinOps, Platform Leads

AI Recommendations + Cross-Provider Cost Comparison + Real-time Routing

✅ COMPLETE SOLUTION

🟢 YES

AI Spend

Developers

OpenAI usage tracking

No cross-provider comparison, no AI recommendations, no enterprise governance

🟡 Partial

Helicone

Developers

LLM API monitoring

No cost optimization, no executive dashboards, dev-only focus

🔴 No

PromptLayer

ML Engineers

Prompt versioning

No cost insights, no multi-provider view, no business intelligence

🔴 No

LangSmith

Developers

LangChain debugging

Framework-specific, no cost control, no provider switching

🔴 No

AWS/Azure AI

Platform Teams

Native cloud integration

Single-cloud lock-in, no AI recommendations, complex setup

🟡 Partial

🎯

AI Recommendations

Automatic model suggestions based on cost, performance, and accuracy

💰

Cross-Provider Cost Comparison

Real-time pricing across OpenAI, Anthropic, Google, Azure

📊

Executive Dashboards

CIO-ready insights with business impact metrics

🏆 The Bottom Line

WrangleAI is the only solution purpose-built for enterprise AI governance. While competitors focus on developers, we serve the C-suite with the intelligence they need to control AI spend and maximize ROI.

Our Key Differentiators

🔄

Native Multi-Model Support

Visualize usage across OpenAI, Anthropic, Google, and others

📊

Synthetic Groups

Custom usage grouping by team, product, model, or API

🧠

AI-Powered Optimization

Balance cost-accuracy-speed tradeoffs: smart model routing, context optimization, performance tuning

👥

Cross-Team Visibility

Centralized UI for devs, ops, product, and finance

🎯

Built for AI

Not repurposed ML tools — designed for token-based AI workloads

💰

Cost Leadership

Competitive pricing with enterprise-grade features

Why We Win: Key Differentiators

How WrangleAI dominates the competitive landscape through unique advantages

🎯 Founding Team: Unmatched Enterprise AI Operations Expertise

Dave Maddock (Founder):
• 10 years cloud architecture, 4+ years Cloud FinOps at enterprise scale
• Ex-military precision meets AI operational reality
• Direct enterprise network: Monzo, Deloitte, Vodafone, VirginMedia O2, HSBC

Kevin Thompson (Strategic Advisor):
• C-level enterprise AI strategy consultant
• Fortune 500 Client Portfolio: Boeing, Rolls Royce, GM, Ford, Ministry of Defence
• 15+ years advising on digital transformation at the highest levels

🔗 Combined Network Effect: Direct access to C-suite decision makers across aerospace, automotive, defense, financial services, and telecommunications - representing our ideal customer base.

🏆 Product Differentiators That Matter

🔄

Smart Model Routing

Automatically choose the best AI model for each request based on cost, speed, and accuracy.

Real Example: Summarization task → routes to fast, cheap GPT-3.5 instead of expensive GPT-4 → saves 80% cost with same quality

📊

Team-Based Cost Tracking

Track AI costs by department, project, or product without complex tagging setup.

Real Example: Marketing team's chatbot costs £500/month, R&D's code generation costs £2,000/month → clear budget allocation

🌐

All-Provider Integration

Single dashboard for OpenAI, Claude, Gemini, Azure AI - compare costs and switch providers instantly.

Real Example: See that Claude is 40% cheaper for your use case → switch with one click → immediate savings

🧠

Industry Benchmarking

Compare your AI spending and usage patterns against similar companies in your industry.

Real Example: "Your fintech spends 23% more on AI than industry average" → actionable insights for CTO/CFO

🚀 Strategic Execution Advantages

⚡

Speed to Market

6 weeks concept-to-commercial vs 6+ months for competitors

💰

Cost Leadership

£19/mo entry vs £500+ for DataDog, Arize, enterprise competitors

🎯

AI-First Design

Purpose-built for GenAI workloads, not retrofitted ML tools

🛡️ Competitive Moat

Network Effects: More customers = better AI insights for all
Data Advantage: Cross-industry usage patterns create switching costs
Enterprise Relationships: Pre-built trust with F500 decision makers
Technical Depth: Proxy architecture creates lock-in through value

🗺️ Roadmap Advantage: Beyond Cost Tracking

Phase 1 (Q3/4 2025):
MVP + Optimised AI Keys

Phase 2 (2026):
Infrastructure Monitoring + Enterprise

Phase 3 (2026+):
AI Network Insights Platform

Vision (2027+):
Agentic AI Governance Layer

🎯 Why We Win: We're not just building AI monitoring - we're creating the central nervous system for enterprise AI operations. First-mover advantage in a market moving from "AI experimentation" to "AI governance."

Traction & Strategic Roadmap

From MVP to Market Leader: Our Execution Timeline

✓

June 2025

✅ COMPLETED

Problem validation, architecture designed, team assembled

⚡

July 2025

🚀 MVP LAUNCH

Commercial platform: multi-model tracking, cost monitoring, Synthetic Groups

🔑

Q4 2025

OPTIMISED AI KEYS

Smart routing proxy, 20-30% cost savings, 10 beta customers

🏢

Q1 2026

ENTERPRISE READY

RBAC, SSO, Infrastructure monitoring, GPU usage tracking

🧠

Q2-Q3 2026

AI INSIGHTS ENGINE

Network insights, industry benchmarks, ML training forecasting

📊 Current Execution Metrics

6

Weeks to MVP

4

Model Integrations

• Team Expansion: Onboarding AI/ML developer

• GTM Launch: Go-to-market motion starting end of July

• ISO 27001 Certification: Booked for September 2025

• Beta Pipeline: 10 enterprise prospects identified

🔑 Phase 2: Optimised AI Keys

Revolutionary proxy architecture
Smart model routing & cost optimization
20-30% cost savings demonstrated
Enterprise security & governance controls

🏢 Phase 3: Infrastructure Layer

GPU & cloud infrastructure monitoring
Real-time alerts for high-cost deployments
MFU tracking & efficiency optimization
Complete AI cost visibility stack

🎯 Strategic Execution: Each phase builds competitive moats — from usage tracking to cost optimization to infrastructure governance — creating the definitive AI operations platform before competitors can catch up.

Founder & Team

Dave Maddock

Founder & CEO

Ex-military officer with 10 years as cloud architect. 4+ years at forefront of Cloud FinOps. Brings technical foundation, strategic vision, and product-led growth mindset.

Previous Experience with:

Monzo, Deloitte, Vodafone, VirginMedia O2, Philips, IAG, M&G, HSBC, British Army

Kevin Thompson

Strategic Advisor

Strategic advisor with extensive experience in enterprise AI implementations and go-to-market strategy.

Previous Experience with:

Boeing, Rolls Royce, GM, Ford, Ministry of Defence

Current Team

Product Manager
4 Offshore Developers
Growth and Marketing Lead
1 x SDR

"I'm working closely with a team of offshore developers who I've worked with previously and have been thoroughly vetted. They deliver quality code and infrastructure management, with full IP protection agreements in place."

— Dave Maddock

The Ask: Pre Seed Funding

We have already built and tested our MVP that is launching end of July 2025.

£800K

Investment for 10% equity

£8M

Post-money Valuation

🎯 Milestone-Based Execution Plan

Q4 2025

Initial Hires & UK Market

Q1 2026

Geographic Expansion

Q2-Q3 2026

Scale & Revenue Growth

📍 Launch & UK Market

£280K Allocation

Onshore UX Lead (£80K)
Sales Rep - UK (£60K)
Offshore Dev Expansion (£90K)
Platform development (£50K)

Target: 10 Paying Customers

🌍 Geographic Expansion

£320K Allocation

Sales Rep - EMEA (£65K)
Sales Rep - USA East (£80K)
Sales Rep - USA West (£85K)
Marketing & operations (£90K)

Target: Global Presence

📈 Scale & Revenue

£200K Allocation

Enterprise features (£80K)
Compliance & security (£60K)
Performance optimization (£40K)
Working capital (£20K)

Target: Revenue Growth

🎯 Clear Execution Path: MVP launched end of July 2025 → 10 paying customers by Q4 2025 → Global sales presence by Q1 2026 → Sustainable revenue growth and Series A readiness by Q3 2026.

"Our funding strategy prioritizes sustainable, low-cost customer acquisition. We're building the data platform that enterprises will need as AI becomes mission-critical."

Next Steps

Looking for partners who:

01

Share our belief in the operational layer for GenAI

02

Understand the demand for AI spend control and governance

03

Want to help build the gold standard in AI observability

04

Can open doors within large Enterprises

LET'S WRANGLE THE AI FRONTIER — TOGETHER.

Contact

For a demo or to discuss next steps:

Dave Maddock - Founder

📧 Email: dave@wrangleai.com

📱 Phone: +44 7901102559