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WrangleAI Logo

Enterprise AI Cost and Usage Visibility and Control

Pre-Seed Investor Deck

Vision

AI Is The Most Powerful Tool Of Our Generation β€” 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 β€” 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"

β€” Dave, Our Founder

Dave Maddock - Founder

The Problem We Solve

πŸ”΄ Enterprise AI Is A Black Box

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

πŸ”΄ "Our AI bill doubled overnight"

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

Real scenario: Marketing chatbot costs Β£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)

πŸ”΄ "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)

πŸ”΄ "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 Β£0.03/request GPT-4 for summaries that could cost Β£0.002 with GPT-3.5
Data: 30-40% of AI spend is wasted on inefficient optimization (McKinsey AI Report 2024)

πŸ”΄ "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)

πŸ”΄ "AI regulation is coming, and we're not ready"

With EU AI Act, US Executive Orders, and UK AI Safety Framework rolling out, enterprises need visibility, control, and auditability to demonstrate compliance. Without centralized AI governance, organizations risk regulatory penalties and reputational damage.

Real scenario: EU AI Act audit requires proof of AI usage tracking, risk assessment, and compliance controls - but there's no centralized system to provide audit trails
Data: 67% of enterprises are unprepared for AI regulation compliance (Gartner AI Risk & Governance Survey 2024)

βœ… WrangleAI: The Enterprise AI Control Center

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

βœ…

Unified Visibility

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

Result: Finance knows exactly where every Β£ goes
βœ…

Smart Optimization

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

Result: 30-60% cost reduction immediately
βœ…

Enterprise Control

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

Result: CIOs get the governance they need

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

Why Now?

πŸš€ AI Market Explosive Growth

$185B
2023 Market
(Statista Global AI Report)
β†’
$990B
2027 Projected
(IDC Worldwide AI Forecast)
40-55% Annual Growth
(Bain & Company "AI Revolution Report" 2024 + IDC Market Forecast)

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.

πŸ“Š 78% of orgs

Now use AI in at least one function

(McKinsey "State of AI" 2024)

πŸ“ˆ 175 zettabytes

Global data by 2025 - feeding AI hunger

(IDC Global DataSphere Report)

What WrangleAI Enables That No One Else Does

🎯 Real-time routing
Across multiple AI providers automatically
πŸ“Š Unified dashboard
All AI costs and performance in one view

🌱 Sustainability & Regulatory Compliance

Emissions Estimator

Organizations are increasingly required to track and report their carbon footprint. WrangleAI's Emissions Estimator enables enterprises to monitor GenAI carbon emissions across all models, identify which models are most/least green, and make sustainable AI decisions that align with ESG goals and regulatory requirements.

AI Governance & Regulation Readiness

As AI regulation evolves globally (EU AI Act, US Executive Orders, UK AI Safety Framework), organizations need governance platforms that provide visibility, control, and audit trails. WrangleAI's comprehensive platform enables enterprises to meet emerging AI regulations by tracking usage, enforcing policies, maintaining compliance records, and demonstrating responsible AI deployment.

WrangleAI Explainer

"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
(Forrester AI + McKinsey optimization data)
$12B
Serviceable Available Market
SAM
(Enterprise subset, Accenture 2024)
$360M
Serviceable Obtainable Market
SOM
(3% competitive capture rate)
  • 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 β†’ $70.2B by 2028, 22.8% CAGR (MarketsandMarkets)

πŸ’Ό Key Buyer Personas & Budget Control

πŸ‘”
CIOs

Strategic AI governance, cross-platform visibility, executive reporting

πŸ’°
FinOps Teams

Cost optimization, budget control, ROI tracking, vendor management

βš™οΈ
Platform Leads

Infrastructure management, developer enablement, operational efficiency

πŸ’‘ Enterprise buyers need unified dashboards, not just developer tools

TAM Methodology: $150B annual enterprise AI spend Γ— 30% requiring optimization = $45B defensible addressable market. Our revenue projections (Year 1: Β£55K, Year 2: Β£750K, Year 3: Β£3.86M) reflect conservative execution against this opportunity, targeting just 0.01% of TAM by Year 3.

Boy and Bot

Business Model & Revenue Growth Forecast (Yr 1-3)

Dual revenue streams: SaaS subscriptions + usage-based fees. Monthly revenue and customer growth derived directly from our forecasts (v1.3) – usage adoption ramps from 25% to 60%.

πŸ’° Revenue Sources

1. SaaS Subscriptions Predictable recurring revenue from tiered monthly subscriptions
2. Usage-Based Revenue 20% charge on LLM calls through Optimised AI Keys (scales with customer success)
Total Revenue (Β£) Total Customers
Y-axis (left): Revenue in Β£ | Y-axis (right): Customer count
Tier pricing
Developer Β£9/mo
Growth Β£199/mo
Enterprise Β£2,500/mo
Usage fees
  • We add a margin on every API call plus extra usage-based pricing features.
Year 1
Β£55K
240 customers by month 12 / 25% usage adoption
Year 2
Β£750K
830 customers / 40% usage adoption
Year 3
Β£3.86M
1,870 customers / 60% usage adoption

Initial goals

  • Validate demand with 240 customers in Yr1
  • Hit 830 customers + positive EBITDA in Yr2
  • Reach 1,870 customers + dominant usage revenue mix Yr3

Business engine

  • Subscription tiers provide predictable ARR
  • Optimised Key usage fees scale with adoption
  • Our forecasts show usage adoption ramping 25β†’60%

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
βœ… 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
πŸ”΄ No
PromptLayer
ML Engineers
Prompt versioning
No cost insights, no multi-provider view, no business intelligence
πŸ”΄ No
LangSmith
Developers
LangChain debugging
Framework-specific, no cost control, no provider switching
πŸ”΄ No
Arize
ML Engineers, Data Scientists
AI observability & evaluation
No cost optimization, no multi-provider routing, complex technical setup
🟑 Partial
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

πŸ’°

Cross-Provider Cost Comparison

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

πŸ“Š

Executive Dashboards

CIO-ready insights with business impact metrics

πŸ† The Bottom Line

WrangleAI is the only solution purpose-built for enterprise AI governance. While Arize focuses on technical observability and others serve developers, we serve the C-suite with cost control and ROI optimization.

Our Key Differentiators

πŸ”„

Native Multi-Model Support

Visualize usage across OpenAI, Anthropic, Google, and others

πŸ“Š

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

πŸ‘₯

Cross-Team Visibility

Centralized UI for devs, ops, product, and finance

🎯

Built for AI

Not repurposed ML tools β€” designed for token-based AI workloads

πŸ’°

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):
β€’ 10 years cloud architecture, 4+ years Cloud FinOps at enterprise scale
β€’ Ex-military precision meets AI operational reality
β€’ Direct enterprise network: Monzo, Deloitte, Vodafone, VirginMedia O2, HSBC

πŸ† Product Differentiators That Matter

πŸ”„

Smart Model Routing

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

Real Example: Summarization task β†’ routes to fast, cheap GPT-3.5 instead of expensive GPT-4 β†’ saves 80% cost with same quality
πŸ“Š

Team-Based Cost Tracking

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

Real Example: Marketing team's chatbot costs Β£500/month, R&D's code generation costs Β£2,000/month β†’ 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 β†’ switch with one click β†’ 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" β†’ actionable insights for CTO/CFO
⚑

SLM Orchestration

Intelligently route to Small Language Models (SLMs) instead of LLMs for cost reduction, faster response times, and often better accuracy for specific tasks.

Real Example: Summarization task β†’ routes to efficient SLM β†’ 60% cost reduction + 3x faster response vs. GPT-4
🌱

Emissions Estimator

Track GenAI carbon emissions across all models and identify which models are most/least green to make sustainable AI decisions.

Real Example: Discover Gemini emits 50x less CO2 than GPT-4o-Mini β†’ switch models β†’ reduce carbon footprint by 75%

πŸš€ Strategic Execution Advantages

⚑

Speed to Market

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

πŸ’°

Cost Leadership

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

🎯

AI-First Design

Purpose-built for GenAI workloads, not retrofitted ML tools

WrangleAI Dashboard

πŸ›‘οΈ 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

πŸ—ΊοΈ 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

βœ“

June 2025

βœ… COMPLETED

Problem validation, architecture designed, team assembled

βœ“

November 2025

βœ… COMPLETED

Production system live, marketing started, ready to scale

βœ“

Q1 2026

βœ… COMPLETED

Optimised AI Keys delivered β€’ Google Startup Programme β€’ Smart routing with 20%+ cost savings

🏒

Q2 2026

INITIAL HIRES & GCP MARKETPLACE

First sales & marketing hires, UK market focus, 10 paying customers. Launch on GCP Marketplace - leverage GCP GTM teams

🧠

Q3-Q4 2026

SCALE & GROWTH

Enterprise features, revenue growth, Series A readiness

πŸ“Š Early Traction (Dec 2025 - Jan 2026)

33
Developer Users
3
Demos (Dec)
1
Enterprise Pipeline
β€’ Production System: Live with active users
β€’ Google Startup Programme: Selected and participating
β€’ Optimised AI Keys: Delivered and in production
β€’ Date: January 10, 2026

βœ… Q1 2026 Achievements

  • Optimised AI Keys: Smart routing proxy delivered
  • Google Startup Programme: Selected for acceleration
  • Cost Savings: 20-30% demonstrated in production
  • Enterprise Ready: Security & governance controls live

🏒 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 β€” from usage tracking to cost optimization to infrastructure governance β€” creating the definitive AI operations platform before competitors can catch up.

Founder & Team

Dave Maddock - Founder

Dave Maddock

Founder & CEO β€’ AI Solution Architect β€’ Cloud Architect

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

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."

β€” Dave Maddock

The Ask: Pre Seed Funding

Production system is live and marketing has just begun. We're ready to scale with the right funding.

Β£300K

Investment for 10% equity

Β£3M

Post-money Valuation

πŸ’Ό Tax-Efficient Investment Opportunity

SEIS Eligible
Up to 50% income tax relief + Capital Gains Tax exemptions
EIS Available
30% income tax relief + Loss relief + CGT deferral

WrangleAI is SEIS and EIS eligible, making this a highly tax-efficient investment for UK investors

πŸ’° Use of Funds (Β£300K)

All funds focused on growth activities to accelerate customer acquisition and revenue growth.

Sales & Marketing Β£120K 40%
Sales Team Hires Β£70K 23%
Platform Development Β£60K 20%
Marketing Tools & Ops Β£30K 10%
Working Capital Β£20K 7%

Next Steps

Looking for collaboration with investors 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 β€” TOGETHER.

WrangleAI Logo

Contact

For a demo or to discuss next steps:

Dave Maddock - Founder

πŸ“§ Email: dave@wrangleai.com

πŸ“± Phone: +44 7901102559

🌐 Check out our website here: https://wrangleai.com/

Ready to Wrangle Your AI?

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