Company Overview
What We Do
Cloudnine AI uses proprietary Associative Intelligence to unify fragmented data, enabling fast, secure, and intuitive access—without queries or technical expertise. It’s a lighter, more innovative alternative to traditional systems, with built-in compliance and data quality tools.
Customer Problem
Organizations are drowning in data that’s hard to access, manage, and trust. Traditional systems require costly manual processes, struggle with compliance, and leave key insights buried. Most tools are slow, siloed, or fail to scale efficiently.
Our Solution
REL-1, Cloudnine AI’s flagship platform, non-destructively unifies data from any source. It creates a fully associated, tokenized, and anonymized model of your data — instantly searchable and secure.
Benefits include:
- No need for queries or schema knowledge
- Built-in anomaly and quality detection
- Lightweight deployment with real-time access
- High-level compliance (DoD IL6 classification)
Team
Led by seasoned innovators with decades of experience:
- Michael Brown, Founder (Marriott, Oracle exits)
- Gilles Favey, Co-founder (WHO, UN, Swissquote)
- Nicolas Jorand, CTO
- Philippe Thérien, Chief Architect
- Valentin Petrov, Data Scientist
- Sahra Kott, Business Development
- Araya Everett, CMO
- Ryon Everett, Chief Knowledge Officer
Target Markets
Industries with large, complex, or sensitive data:
- Government, Manufacturing, Banking, Retail
- Also applicable to R&D, Sustainability, Healthcare, and Logistics
Customer Profile
Forward-thinking enterprises with complex data challenges.
Example targets: Apple, BD, L’Oréal, Puig, ThyssenKrupp, TAG Heuer.
Competitive Landscape
Competitors: Databricks, Snowflake,
C3.AICloudnineAI Advantage:
1. Unified data across all sources
2. No-code knowledge discovery
3. Lightweight, high-speed architecture
4. Privacy-first with built-in compliance
5. Adaptable across industries and use cases
Business Model
- SaaS with staged enterprise onboarding
- Monetized through POCs and annual licensing
- Positioned for rapid scale with a robust enterprise pipeline
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