Deepomatic Company Profile

Background

Deepomatic, established in 2014, is a French technology company specializing in artificial intelligence (AI) and computer vision solutions. The company's mission is to enhance the efficiency and accuracy of field operations across various industries by automating quality control processes through AI-driven image recognition. Deepomatic's vision is to revolutionize the way critical infrastructures are constructed, deployed, and maintained, ensuring high standards and sustainability.

Key Strategic Focus

Deepomatic's strategic focus centers on providing AI-based computer vision platforms tailored for companies operating critical infrastructures. The core objectives include:

Quality Control Automation: Implementing real-time AI verification to maximize the success of initial interventions, thereby reducing errors and rework.

Field Data Visualization: Offering comprehensive visibility into field operations through reliable data, facilitating better infrastructure deployment management.

Predictive Maintenance: Utilizing AI to monitor equipment health, enabling proactive maintenance before failures occur.

Asset Inventory Management: Synchronizing real-time network inventory with system records for efficient field operation planning.

Contractor Management: Streamlining contractor performance assessment and payment processes, fostering transparency between contractors and operators.

Deepomatic primarily targets sectors such as telecommunications, utilities, and green energy, addressing challenges in fiber optic network construction, smart meter installations, and renewable energy infrastructure deployment.

Financials and Funding

Deepomatic has successfully secured multiple funding rounds to support its growth and technological advancements:

September 2015: Raised $1.4 million (€1.2 million) from Alven Capital and business angels, including Pierre Valade and Jean-Charles Samuelian.

February 2019: Secured $6.2 million (€5.5 million) in a Series A round led by Hi Inov, with participation from Alven Capital and Bertrand Diard.

November 2022: Completed a €10 million Series B funding round, led by EnBW New Ventures and Orbia Ventures, with existing investors Hi Inov-Dentressangle, Alven, and Swisscom Ventures also participating.

The capital raised has been utilized to expand Deepomatic's international footprint, invest in technology development, and enter new verticals within field services.

Technological Platform and Innovation

Deepomatic's proprietary AI-based computer vision platform is designed to automate quality control by analyzing photos taken by field workers, providing instant feedback on job conformity. Key technological components include:

Image Recognition Engine: Utilizes state-of-the-art models, such as Vision Transformers, to streamline AI quality control processes.

Mobile Application: Enables technicians and field agents to capture and upload images seamlessly.

Browser-Based Business Solutions: Provides monitoring and support teams with tools to oversee operations.

API Integration: Facilitates integration with business software like ServiceNow, Microsoft Dynamics, and IFS.

Leadership Team

Augustin Marty: Co-founder and CEO. Marty has been instrumental in steering Deepomatic's strategic direction and growth since its inception.

Vincent Delaitre: Co-founder and CTO. Delaitre brings extensive expertise in image recognition, having worked on the technology for years prior to co-founding Deepomatic.

Leadership Changes

In 2022, Deepomatic appointed Julien Moreschetti as Vice President of Sales, aiming to bolster the company's market presence and drive sales growth.

Competitor Profile

Market Insights and Dynamics

The AI-driven computer vision market is experiencing significant growth, driven by increasing demand for automation and quality control in various industries. The market is characterized by rapid technological advancements and a competitive landscape with several key players.

Competitor Analysis

Deepomatic's primary competitors include:

MVF: Offers technology platforms enabling businesses to acquire new customers.

Footmarks: Provides beacon technology for digital intelligence in physical spaces.

Sublime Skinz: Specializes in digital skin-based advertising.

Verndale: A marketing technology agency focusing on customer connection strategies.

Strategic Collaborations and Partnerships

Deepomatic has established significant partnerships to enhance its market position and innovation capacity:

Telecommunications: Collaborates with major players such as Vodafone, CityFibre, Swisscom, Altice, Bouygues Telecom, SFR, Circet Ireland & UK, Unifiber, and Stellantis to improve smart meter solutions.

Utilities: Supports companies like Unit-T in deploying smart energy meters.

Operational Insights

Deepomatic's strategic considerations include:

Market Position: Leveraging its AI-driven platform to offer unique solutions in quality control automation.

Competitive Advantages: Providing real-time feedback and integration capabilities that distinguish it from competitors.

Distinct Differentiators: Focusing on critical infrastructure sectors and offering scalable, lean solutions that address specific industry challenges.