Osium AI Analysis: $3M Raised
What is Osium AI?
Osium AI builds a cloud platform for materials and chemicals R&D, covering property prediction, characterization, design, and scale-up planning. Its proprietary AI models are trained on data the company says it owns, and the platform is positioned to handle sparse, incomplete, and unstructured experimental data. The company says more than 50 materials and chemicals innovators use its software, including organizations in chemicals, alloys, aerospace, healthcare, clean energy, construction, cosmetics, and textiles.
Location
41 Rue du Colisee, Paris, France
Employees
1-10
Founded
2023
Revenue
$100K-5.0M
Product Features & Capabilities
- Speed and properties prediction, materials and chemicals design, characterization, processes optimization, scale-up planning, quality control.
How much Osium AI raised
Funding Round - $2.6M
November 2023Lead Investor: Bpifrance
Who are the founders of Osium AI
SN
LB
Investors
- Y Combinator
- Singular
- Kima Ventures
- Collaborative Fund
- Atomico
- Climate Capital
- Ebert HERA
- Elizabeth Wessel
Business Model
AI-driven solutions for materials development; revenue from software subscriptions and partnerships.
Market Focus
Osium AI primarily focuses on the market of sustainable and high-performance materials and chemicals, utilizing AI-powered software to accelerate their development.
Competitors Overview
Osium AI operates in the market for AI-powered software focused on sustainable and high-performance materials and chemicals. Its main competitors include:
-
Shift: Specializes in AI solutions for optimizing chemical processes and sustainability. They focus on reducing waste and improving efficiency in material production.
-
Prophesee: While primarily known for its event-based vision systems, it also applies AI in various industrial applications, including materials science, which may overlap with Osium AI's focus.
-
Kayrros: Provides data analytics and AI solutions for the energy and materials sectors, focusing on sustainability and efficiency, which positions them as a competitor in the sustainable materials space.
-
Wiro.ai: Offers AI-driven solutions for various industries, including materials science, but lacks a specific focus on sustainability compared to Osium AI.
-
Kive: Focuses on AI applications in materials science, providing tools for material discovery and optimization, similar to Osium AI's offerings.
-
BioPhy: Engages in AI-driven research for sustainable materials, particularly in bioplastics and other eco-friendly materials.
-
SnapLogic: While primarily an integration platform, it offers AI capabilities that can be applied in the materials and chemicals sector.
-
DataRobot: Provides a machine learning platform that can be utilized across various industries, including chemicals, but does not specialize exclusively in sustainable materials.
-
Teraki: Focuses on data optimization for IoT applications, which can be relevant in the materials sector but does not directly compete with Osium AI's core offerings.
Notable differences include Osium AI's specific focus on accelerating the development of sustainable materials, which may give it an edge in niche markets compared to broader competitors like DataRobot and SnapLogic.
See something that needs updating? Suggest edits to this profile.