IT Services Santa Monica, CA, USA
"Al-Powered Software Transforming Data Intelligence with Unified & Reliable Audits. Driving innovation in compliance, governance, & risk with deep learning"
Executive Summary
Management
Founder I Michael Brown (25 yrs exp). ARV (Marriott Acquired), lnstantis (Oracle Acquired 2001). CoFounder I Gilles Favey (30+ yrs exp) WHO, Swissquote, United Nations. CTO I Nicolas Jorand (25yrs exp). Chief Architect Phillipe Therien (25yrs exp). Data Scientist Valentin Petrov (25+ yrs). Engineer I Etienne Phelippon (30yrs IT exp). BusDev ISahra Kott ( 25yrs exp). Reinold Binkhuijsen EU ( 25yrs exp).
Customer Problem
Enterprises are no longer able to manage data silos with the legacy systems currently in place. These organizations are still using manual processes to manage data silos due to the regulations for each industry which affects outcomes for enterprises. Legacy systems are complex because these data stores are unconnected or inconsistent in structure.
Company
Founded: November 2020
Employees: 8
Entrepreneur
Michael Brown
310-751-4589 (Work)
Round Overview
Funding Stage: series_seed Capital Raised: $500k Capital Seeking: $5M
Pre-Money Valuation: $25M
Run Rate: $5M
Net Burn: $29.7k
Team
Michael Brown
Social
https://www .linkedin.com/company/ c9ai
Deep learning software allows for the data to be analyzed instantly, or as data is being created.
Product/Services
Deep learning software consolidates scattered and varied data into a cohesive system. Data models are analyzed instantly or as it is generated, without significant delays. Handling data from various sources, formats, or systems that are typically unconnected or inconsistent in structure. All the data, despite coming from different sources, is integrated or standardized so it can be reviewed, tracked, & analyzed within a single framework
Target Market
Manufacturing, banking, retail, healthcare, and government agencies. Enterprises currently searching for solutions with an innovation strategy or lab that will begin engagements with paid pilots. There is no need to rip or replace legacy systems currently in place, removing risk. In addition, global agencies are interested in licensing infrastructure due to the data privacy, governance, and compliance requirements of sovereign nations.
Business Model
The annual licenses are expected to retail between $500k and $1 m. The process begins with a paid pilot or 0POC (proofs-of-concept), which retails between $100k and $250k. We have at least four POCs that will begin at $2m each and generate over $8m in revenue. Our current pipeline is active, sorted by $1Om in paid POCs, with an additional $70m pipeline for enterprise licenses. The business is projected to operate at 70% margins.
Customers
Our path to profitability begins with our active POC and enterprise pipeline, which includes industries across any vertical. Revenue streams are direct customers or indirect via resellers. We expect to acquire additional clients from our academy boot camps, industry trade events, and conferences where we speak or exhibit. We have been asked to present at the CERN, MIT, and NASA science conferences. The pipeline includes public enterprises.
Sales/Marketing Strategy
$1Om POC pipeline: 1) Fraud Detection: Identify anomalies and prevent fraudulent activities instantly 2) Entity Resolution: Connect disparate records to uncover relationships & insights. 3) Data Integrity: Maintain consistent and reliable data for decision-making. 4) Compliance Monitoring: Meet regulatory standards with streamlined oversight. Empowering organizations to harness the full potential of their data with actionable intelligence.
Competitors
There are no direct competitors because the deep learning IP is unique to Cloudnine Al. The alternative technologies currently used include Palantir, C3.AI, Datarobot, and Snowflake, but they require human expertise with manual processes, which are costly and without a reliable outcome for achieving success. Our deep learning software reduces the risk by bringing data of any type into production for instant intelligence, regardless of origin
Competitive Advantage
Key advantages:1) Unified Data Integration: Our software consolidates scattered and varied data into a cohesive system, enabling seamless processing and analysis.2) Real-time: Deep learning algorithms ensure fast and accurate insights, even with highly complex or unstructured datasets.3) Compliance: Built to support industries with strict compliance requirements by delivering unified audits.4) Security: Encryption is classified as DoD IL6
CLOUDNINE Al Annual Financials
| | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | 2027
| DEEP | | | | | | |
| LEARNING SOFTWARE | | | | | | |
| Revenue$ | | 100,000 | 100,000 | 180,000 | 3,425,000 | 3,425,000 | 3,425,000
| Expenditure$ | 100,000 | 150,000 | 240,000 | 330,000 | 930,500 | 940,000 | 940,000
| Profit (Loss)$ | | -50,000 | -140,000 | -150,000 | 2,494,500 | 2,485,000 | 2,485,000
Updated January 13, 2025