DeepMatter Group

What DeepMatter Group does

DeepMatter Group is a Glasgow-based, LSE-listed (DMTR) technology company focused on industrialising AI for chemistry. Founded in 2015, the group operates the ChemAI platform (chemai.io), which integrates proprietary chemistry data assets with advanced AI tools to deliver three reinforcing capabilities: AI-powered route prediction for synthesis pathway identification, AI-driven reaction optimisation to improve yield and reduce waste, and autonomous closed-loop development and manufacturing workflows. The technical foundation has been assembled through a series of acquisitions — OpenIOLabs (2017), Infochem (2018) and ChemIntelligence (2022) — which collectively built the proprietary data and tooling stack that ChemAI now exploits.

The company serves a narrow vertical: selected global industry leaders in the chemistry sector seeking to integrate AI into their development and manufacturing operations. Its go-to-market is a selective, inquiry-driven enterprise partnership model — a "contact us" / "get in touch" approach rather than broad market distribution — with pricing not publicly disclosed. The group has 11-50 employees and a single disclosed venture round (O2h Ventures, 2019), and no revenue or ARR figures are publicly available. Leadership comprises Mark Warne as Chief Executive Officer and Alan Dunn as Chief Operating Officer.

From a revenue-mechanics standpoint, DeepMatter monetises through direct enterprise engagements with large chemistry players, with contract structures undisclosed. The combination of a small headcount, selective GTM, undisclosed pricing, and absence of disclosed revenue indicators implies a still-developing commercial scale, with the company's value proposition resting on domain specialisation in chemistry AI rather than broad distribution reach.

Name

DeepMatter Group

Website

https://deepmatter.io

Company type

Private

Founded year

2015

Headcount range

11–50 employees

Short description

DeepMatter Group operates the ChemAI platform, applying AI-powered route prediction, reaction optimisation, and autonomous closed-loop development and manufacturing to serve selected global chemistry industry leaders through enterprise partnerships.

Ownership category

akta.pro rank

Product category

AI Chemistry Software

NAICS

Computer Systems Design and Related Services (54151)

akta.pro primary industry

AI/ML Platforms for Drug Discovery & Experiment Optimization (HLAGAJAO)

akta.pro secondary industry

AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI) (HDAEANAI)

Keywords

• AI for chemistry
• Reaction optimisation software
• Chemical route prediction
• Autonomous chemistry manufacturing
• Cheminformatics platforms

Headquarters

HQ city

Glasgow

HQ country

United Kingdom

HQ region

Europe

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Operations, Marketing or Sales

Go-to-market motion1 record

Distribution channels1 record

Core offering

DeepMatter Group delivers ChemAI, an AI for Chemistry platform that combines proprietary chemistry data assets with advanced AI tools to enable route prediction, reaction optimisation, and autonomous closed-loop development and manufacturing. The platform is offered to selected global chemistry industry leaders on a partnership basis to help industrialise AI across their chemistry operations.

Differentiator

Problem solved

Functional benefit

Products and services

• ChemAI – AI for Chemistry AI-for-chemistry platform integrating proprietary chemistry data assets with advanced AI tools to deliver route prediction, reaction optimisation, and autonomous closed-loop development and manufacturing for global chemistry industry leaders.

Segments1 record

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Feature3 records

Recent moves5 records

Expansion highlights3 records

Emerging players

• Recursion Pharmaceuticals: Recursion combines high-throughput experimentation with AI/ML for drug discovery and chemistry optimization. It shares DeepMatter's emphasis on integrating automation with AI, though with a primary focus on pharmaceutical rather than industrial chemistry use cases.
• IBM RXN: IBM RXN is an open AI platform for chemistry reaction prediction and retrosynthesis, offering features directly comparable to DeepMatter's route prediction capability. Although distributed as an open/accessible tool, it represents a competing approach to AI-driven synthesis planning for chemistry R&D.

Direct peers

• Atomwise: Atomwise uses AI to predict chemical reactions and molecular properties, with applications spanning drug discovery and materials chemistry. It competes with DeepMatter for AI-driven chemistry prediction workloads in commercial R&D settings.
• Citrine Informatics: Citrine Informatics builds an AI platform for materials and chemistry R&D, serving industrial chemicals and materials science customers. It directly competes with DeepMatter in using AI to optimize reactions and accelerate chemistry workflows for industrial customers.
• Kebotix: Kebotix combines AI/robotics for materials and chemistry discovery, including closed-loop experimentation capabilities. Its emphasis on autonomous experimentation parallels DeepMatter's autonomous closed-loop development and manufacturing value proposition for chemical industry customers.
• Schrödinger: Schrödinger provides computational chemistry and molecular simulation platforms with AI/ML-driven prediction capabilities used by pharmaceutical and industrial chemistry R&D teams. It is the most established publicly-traded peer operating in the AI-for-chemistry category that DeepMatter targets.
• Insilico Medicine: Insilico Medicine applies AI for drug discovery and chemistry, including generative chemistry and reaction prediction. While its primary focus is pharma, its underlying chemistry AI capabilities overlap with DeepMatter's route prediction and reaction optimization features.

Broad incumbents

• Google DeepMind (Chemistry AI): Google DeepMind has produced landmark AI-for-chemistry results (e.g., AlphaFold for proteins, GNN-based molecular property prediction). While not a commercial direct competitor at the same SKU level, it shapes the competitive frontier and partner ecosystem for AI-driven chemistry and is referenced broadly across the company's market context.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat3 records

Key risks6 records

Key highlights5 records

Customer concentration

• Xx.com/deepmattergroup
• LinkedInlinkedin.com/company/18008673

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A3 records

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about DeepMatter Group