QognyX - Présentation

Expert Reasoning. Structured. Verified.

Transforming human expertise into durable, auditable knowledge.

01

Origin

How to capitalise Expert reasonning pattern

The Team

Laurent Masnou

Co-Founder & CEO

Roots from aeronautical industry , expert on industrial performance and optimisation in different working environment, long-term experience (30+ years) in composite industry tech innovation and passionate about human expertise capitalisation

Buchet Stéphane

Co-Founder & CTO

Technology architect (10+ years) and Steel manufacturing expert (20+ years) . Dedicated to building transparent, scalable and auditable AI solutions for enterprise.

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

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.

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"

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

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

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

Future

How to capitalise Expert reasonning pattern

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

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

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

Reasoning. Structured. Trusted.

www.qognyx.com LinkedIn contact@qognyx.com