Matgenix
Matgenix is a Belgian R&D services firm that applies machine learning, data analytics, and first-principles simulations to accelerate materials and chemistry discovery for industrial clients such as BASF, Umicore, Toyota, Richemont, and Synfuels.
- Company typePrivate
- Founded2020
- HeadquartersGozée, Belgium
- Headcount1–10
- GTM typeB2B
- OfferingServices
What Matgenix does
Matgenix is a Belgian materials science and chemistry R&D services company founded in 2020 and headquartered in Gozée, Belgium (Charleroi area). The firm provides tailored computational solutions to industrial clients by combining machine learning, advanced data analytics, database curation, and first-principles/ab initio simulations to accelerate the design, screening, and optimization of new materials, compounds, and processes. The team is anchored by PhD-level computational materials scientists from UCLouvain and operates as a bridge between academic research and industrial R&D execution.
The service portfolio spans end-to-end research project support—from specification definition through commercialization—and custom in-house software development, including ML models, scientific workflows, and automated simulation pipelines. The most visible technical artifact is turbomoleio, an open-source Python interface for the TURBOMOLE quantum chemistry package co-developed with BASF. Matgenix also participates in EU-funded consortia, notably leading design and modeling tasks in the NICKEFFECT Horizon Europe project (2022–2026) covering low-PGM catalytic materials across seven EU countries, and runs the BEWARE Fellowship with UCLouvain to support ML-for-materials PhD research. The team is approximately 10 personnel across a small leadership group (CEO David Waroquiers, CIO Gian-Marco Rignanese, CTO Guido Petretto) and R&D engineering roles.
Matgenix generates revenue through professional services (B2B research projects and custom software development) and managed services delivered through EU-funded research consortia. Its disclosed client base spans major enterprises across materials and chemicals (BASF, Umicore, Synfuels), automotive (Toyota), and luxury goods (Richemont). The go-to-market is sales-led and relationship-driven, with commercial channels anchored on direct enterprise engagement, EU research consortium participation, and membership in Wallonia's MecaTech industrial cluster.
Matgenix firmographics
Firmographics- Name
- Matgenix
- Legal name
- Matgenix
- Website
- https://matgenix.com
- Company type
- Private
- Founded year
- 2020
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Matgenix is a Belgian R&D services firm that applies machine learning, data analytics, and first-principles simulations to accelerate materials and chemistry discovery for industrial clients such as BASF, Umicore, Toyota, Richemont, and Synfuels.
- Ownership category
- akta.pro rank
Where Matgenix is headquartered
LocationHeadquarters
- HQ city
- Gozée
- HQ country
- Belgium
- HQ region
- Europe
Offices1 record
Markets served
Matgenix business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Technology or R&D, Operations
Revenue model
- Research Projects Services: Supporting customers throughout the entire innovation process from idea to commercialization of new materials and compounds. Includes defining specifications, tailored work plans, candidate identification, and implementation support.
- In-house Software Development: Developing tailored software solutions for applications: machine-learning models, scientific workflows, automated simulations. Includes analysis, architecture design, implementation, deployment, support and maintenance.
- EU Research Project Funding: Participation in EU-funded projects like NICKEFFECT (Horizon Europe) where the company carries out materials design tasks.
Go-to-market motion1 record
Distribution channels3 records
Marketing channels4 records
Matgenix product offering
Product offeringCore offering
Matgenix provides tailored R&D solutions in materials science and chemistry, combining machine learning, curated databases, and first-principles physical simulations to accelerate the optimization, design, and development of new materials, compounds, and processes for industrial clients. The company supports customers from specification definition through candidate identification to commercialization, and also develops custom in-house software solutions including ML models, scientific workflows, and automated simulations. It additionally co-maintains the open-source turbomoleio Python package for quantum chemistry computations.
Product overview
Matgenix is a technology services company that does not offer a single unified product but rather provides tailored professional services and software solutions. The core offerings consist of Research Projects Support (end-to-end innovation consulting for materials and process development) and In-House Software Solutions Development (custom machine-learning models, scientific workflows, and automated simulations). Additionally, Matgenix co-developed and releases the open-source turbomoleio package with BASF, which provides Python tools for automating quantum chemistry simulations. The company also offers AI/ML integration services to embed advanced analytics into customer business systems.
Differentiator
Problem solved
Functional benefit
Products and services
- Research Projects Support End-to-end R&D support for industrial customers developing new materials, compounds, and processes — from specification definition and tailored work plan design, through candidate identification via execution, to implementation and up-scaling support for commercialization.
- In-House Software Solutions Development Custom software development for industrial applications, including machine-learning models, scientific workflows, and automated simulations. Includes needs analysis, architecture design, implementation, deployment, and ongoing support and maintenance.
- AI/ML Integration Services Integration of machine-learning tools, data science, and advanced analytics combined with curated databases and physical simulations directly into customer business decision support systems, enabling digital transformation for production and R&D activities.
- turbomoleio Open-source Python package facilitating setup and analysis of quantum chemistry computations using Turbomole software, enabling automation of simulations for high-throughput searches. Co-developed and co-copyrighted with BASF, released under GPL v3.
Quantifiable outcome
- Accelerate materials discovery and design through ML techniques
- +1 more outcomes
Companies that use Matgenix
Customer profileNamed customers5 records
Segments2 records
Ideal customer profiles2 records
Matgenix technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Feature5 records
Matgenix partnerships and signals
Strategic signalPartnerships
16 partnerships are on record, tiered core and minor.
- UCLouvain (BEWARE Fellowship)coreJoint Matgenix-UCLouvain BEWARE Fellowship with Matthew Evans working on ML techniques to accelerate materials design. Project MLxLMD aims to automate first-principles simulations for more realistic systems and larger range of materials over three years.
- NICKEFFECT ConsortiumcoreNICKEFFECT is a Horizon Europe project (June 2022 - June 2026) with 12 partners from 7 EU countries. Matgenix leads Materials Design tasks using high-throughput ab initio calculations and machine learning. Project aims to develop Ni-based coating materials to replace scarce Platinum Group Metals.
- CIDETECminorPart of NICKEFFECT consortium - leads the overall project. Multidisciplinary team including 12 partners from 7 countries covering scientific developers, technology providers, end-users, and transversal partners.
- Universidad Autonoma de BarcelonaminorPart of NICKEFFECT consortium (7 countries: Belgium, France, Germany, Greece, Ireland, Spain, UK).
- Vrije Universiteit BrusselminorPart of NICKEFFECT consortium.
- ElsycaminorPart of NICKEFFECT consortium.
- IRESminorPart of NICKEFFECT consortium.
- CEAminorPart of NICKEFFECT consortium.
- Advanced EnergyminorPart of NICKEFFECT consortium.
- Singulus TechnologiesminorPart of NICKEFFECT consortium.
- F6SminorPart of NICKEFFECT consortium.
- Asociación Española de NormalizaciónminorPart of NICKEFFECT consortium.
- BASFcoreJoint release of turbomoleio open-source package for quantum chemistry computations. BASF and Matgenix are co-holders of copyright. Matgenix maintains and develops the package with close collaboration with BASF. Turbomoleio enables automation of simulations for high-throughput searches.
- MecaTech ClustercoreMatgenix became a member of the MecaTech cluster, a powerful innovation engine in Wallonia with 300+ members including SMEs, large companies, academic institutions and research centers. Cluster focuses on materials and surfaces, microtechnologies, mechatronics, and intelligent maintenance.
- Dartmouth College (Thayer School of Engineering)minorFormer Chief Scientific Officer Geoffroy Hautier joined Dartmouth as Hodgson family Associate Professor of Engineering. Previously faculty at UCLouvain.
- Co.Station CharleroiminorMatgenix joined Co.Station, a tech coworking community in Charleroi located on banks of Sambre river. Co.Station creates innovative workspaces gathering tech startups, scaleups and companies to grow together.
Scale indicators3 records
Recent moves7 records
Expansion highlights6 records
Matgenix competitors and assessment
Company assessmentEmerging players
- Intellegens: UK-based AI-for-materials startup applying ML to experimental and computational materials data. Comparable in size and stage to Matgenix, with similar industrial customer focus.
- QunaSys: Quantum chemistry software and algorithms company with overlap in ab initio/ML methods. Targets similar scientific R&D buyers and benefits from the same EU/Japan research ecosystem.
- SandboxAQ: AI + quantum-focused spinout building enterprise solutions for materials, chemistry, and sensing. Compares on the methodological mix (AI + simulation) and large-enterprise customer profile.
- Tilde Materials: Computational materials informatics company applying data-driven methods to industrial materials design. A smaller, similarly positioned peer in the ML-for-materials R&D services niche.
Direct peers
- Citrine Informatics: AI-powered materials informatics platform serving industrial R&D customers. Highly comparable to Matgenix in combining materials data, ML, and domain expertise to accelerate materials discovery for enterprise clients.
- Kebotix: AI- and robotics-driven materials discovery company serving industrial applications. Similar focus on accelerating materials R&D through ML and automation, with comparable customer base in chemicals and energy.
- MaterialsZone: Materials informatics platform that combines curated datasets, ML, and collaborative R&D tools for industrial materials development. Competes directly with Matgenix in the AI-for-materials discovery space.
Broad incumbents
- ANSYS: Multi-billion-dollar engineering simulation platform with materials and process modules. Already a NICKEFFECT consortium partner alongside Matgenix; represents the platform-vendor competition Matgenix faces.
- Schrödinger: Public computational chemistry and materials simulation platform with deep ab initio and ML capabilities. Covers Matgenix's quantum chemistry space but operates at much larger scale and primarily drug-discovery focus.
- Dassault Systèmes (BIOVIA): Enterprise PLM and materials modeling platform (BIOVIA) serving chemicals and materials R&D. A broad incumbent whose portfolio embeds capabilities that overlap with Matgenix's bespoke services.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks6 records
Key highlights7 records
Customer concentration
Matgenix social profiles
Digital presenceMatgenix financial estimates
Financial estimateRevenue estimate
Valuation estimate
Matgenix leadership team
Management profileNumber of profiles
Profiles4 records
Matgenix funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Matgenix M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Matgenix
What does Matgenix do?
Matgenix provides tailored R&D solutions in materials science and chemistry, combining machine learning, curated databases, and first-principles physical simulations to accelerate the optimization, design, and development of new materials, compounds, and processes for industrial clients. The company supports customers from specification definition through candidate identification to commercialization, and also develops custom in-house software solutions including ML models, scientific workflows, and automated simulations. It additionally co-maintains the open-source turbomoleio Python package for quantum chemistry computations.
Is Matgenix a public or private company?
Matgenix is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Matgenix founded?
Matgenix was founded in 2020. It employs 1 to 10 people.
Where is Matgenix based?
Matgenix is headquartered in Gozée, Belgium, in the Europe region.
How does Matgenix make money?
Three revenue lines are on record. Research Projects Services are the primary driver. The others are in-house Software Development and EU Research Project Funding.
Who are Matgenix's main competitors?
Emerging players on record are Intellegens, QunaSys, SandboxAQ and Tilde Materials. Direct peers are Citrine Informatics, Kebotix and MaterialsZone. Broad incumbents are ANSYS, Schrödinger and Dassault Systèmes (BIOVIA).
Does Matgenix have an API?
No public API is recorded for Matgenix.