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Expert Reasoning. Structured. Verified.

Transforming human expertise into durable, auditable knowledge.

01

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Origin

How to capitalise Expert reasonning pattern

Typical user cases

Same plant facing industrial performance issues solved with 3 different approaches

Conventional Approach

Expert consulting services

Conventional approach in plant 1

Advantages:

👤 Human contact ⚡ Quick fixes ✓ Immediate answers

Drawbacks:

💰 High costs 📚 No capitalization of knowledge ⏱️ Delayed reaction time

General AI Assistant

(Open AI, Anthropic, Google, specialised assistant)

General AI assistant in plant 2

Advantages:

✓ Immediate answers 🕐 24/7 availability 💰 Low costs

Drawbacks:

💭 No plant-specific memory 🔧 Generalist solutions 👨‍💼 Requires skilled teams 🔐 Data sensitivity

Solution

Qognyx Expert agent

QognyX expert system in plant 3

Advantages:

✓ Immediate answers 🕐 24/7 availability 💰 Low costs ✔️ Auditable 📚 Knowledge capitalization 🔬 Custom environment analysis 🧠 Expert-trained teams 📈 Continuous improvements

Business main figures

$31B
Estimated global industrial performance consulting market in 2025
+6% CAGR
60%
Enterprises don't use consulting due to costs
$250k
Average cost per year for consulting
$500k
Cost for an expert internal
$1M
Average Cost per year of knowledge turn over

"Targetting 1% of the business open up to $300M business opportunity"

02

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Solution

The future of augmented expertise

Solution

More than an AI assistant, a full Expert Reasonning Solution

🧠

Reasoning Engine

Detecting and structuring expert reasonning pattern.

• Based on llm agentic architecture • Dedicated models for critic, archiving, analysing.
🔒

Memory Vault

Store and structure exchanges and documentations for solution feeding.

• Based on RAG and vectorized database • Full hybrid search implemented.
🛡️

Self learning loop

Valid and ingest new reasoning patterns. refining of llm used in solution.

• Based on model finetuning technology • Direct knowledge reuseable through memory solutions. • Long term pattern through model fine tuning.

QognyX Logo Proposition

🎓

Expert-Trained AI

Specialists vs Generalists

Domain-specific expertise capture Specialist knowledge preservation Deep industry understanding

Cutting-Edge AI

Latest technological advances

State-of-the-art reasoning models Advanced neural architectures Continuous innovation pipeline
🧠

Persistent Memory

Cumulative vs Destructive

Knowledge builds over time No catastrophic forgetting Continuous learning capability
🏭

Enterprise Ready

Production-grade platform

Versioning & change control Learning validation loops Compliance frameworks
💰

Cost Optimization

Low-Cost Solution
Affordable for small businesses
Scalable Architecture
Grows with your business
Quick ROI
Proven results from pilot phase
Field Experience
Laurent's 2025 real-world validation

"The only AI platform that learns like experts, remembers forever, and scales affordably"

QognyX Logo Commercial Offering

☁️

SaaS Solution

Cloud-hosted subscription model
$10,000
per month per enterprise

What's included:

  • Full platform access
  • Up to 100 users
  • Cloud infrastructure
  • 24/7 support & maintenance
  • Regular updates & features
  • Data backup & security

QognyX Logo SaaS Profitability

Monthly Revenue $10,000
Monthly Costs $5,000
Monthly Profit $5,000
Profit Margin 50%
Annual Revenue per client: $60,000
🏢

On-Premise Solution

Self-hosted deployment
$100,000
one-time license + setup
Annual maintenance: $5,000
Training & support: $10,000

What's included:

  • Full software license
  • On-site installation
  • Custom configuration
  • Staff training (5 days)
  • 1-year support included
  • Source code access option

QognyX Logo On-Premise Profitability

Initial Revenue $100,000
Implementation Costs $30,000
Initial Profit $70,000
Profit Margin 70%
+ $5,000/year recurring revenue

Business Model Impact

Cash Flow
SaaS Predictable monthly revenue
On-Premise Large upfront payment
Scalability
SaaS High scalability, low marginal cost
On-Premise Custom implementation per client
Customer Lifetime Value
SaaS $180,000 over 3 years
On-Premise $125,000 over 3 years
03

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Future

How to capitalise Expert reasonning pattern

"Human expertise shall not be lost, it must be amplified and accessible to all."

QognyX Logo Roadmap

T0

Fundation

Core reasoning engine development

• Core brain • Memory store • Documentation Ingestion pipeline
Q2

Pilot demonstrated

Real case usage

• MVP • Expert trainings • Beta release
Q3

Enterprise Ready

Scalability & compliance features

• Multi-tenant architecture • Advanced analytics • Security certifications
Q4

Market Launch

Full platform deployment

• Production release • Partner integrations • Global availability
Currently in T0 Development Phase

QognyX Logo key of Succees

💰

Funding

€2.5M Seed funding for 18-month development
€500K Infrastructure & security certifications
👥

Key Talent

Senior AI Engineers 3-4 positions
Security Architect 1 position
Enterprise Sales 2 positions
🤝

Strategic Partnerships

• Enterprise clients for pilot programs • Cloud infrastructure partners (AWS/Azure) • Compliance & audit firms • Academic research institutions
⏱️

Critical Timeline

Next 3 months Secure seed funding & core team
6 months MVP ready for pilot customers

Ready to transform AI accountability together?

Let's build the future of trusted AI systems

THE ASK

We are raising
$500,000
at a pre-money valuation of
$3.2M
Post-money valuation: $3.7M
Equity offered: 13.5%

Use of Funds (12-18 months)

$500K
55% Product completion & pilot (LLM fine-tuning, industrial integrations, performance testing)
25% Go-to-Market & first client pilots (USA – factory prospecting, demos, LOIs)
10% Incorporation (Delaware C-Corp), legal, accounting, cloud tools
10% Buffer & contingencies
Target runway: 18 months

Key Objectives:

  • ✓ 100% operational product
  • ✓ 3-5 signed client pilots (manufacturing industry)
  • ✓ First SaaS or on-premise revenue
  • ✓ 15% pre-money option pool for future hires

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Reasoning. Structured. Trusted.