AI-Powered Materials Science — Est. 2025

Accretion
Labs

We build AI systems that discover, design, and predict
novel materials — compressing years of R&D into
days of computation.

Work with us
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Materials discovery is broken.
The average material takes 10–20 years to go from
lab to market. We fix that.

Accretion Labs builds AI models trained on materials science data — predicting properties, generating synthesis routes, and screening candidate structures at a fraction of the cost and time of traditional experimentation. We work with R&D teams who need to move faster than the lab.

What we
build

Core capabilities
01
Materials Discovery Platform
LLM-powered platform for screening and generating novel material candidates. Researchers describe target properties in natural language — the system returns ranked candidate structures with predicted performance data, ready for experimental validation.
02
Property Prediction Engine
ML models trained on DFT simulation data and experimental literature to predict mechanical, thermal, electronic, and chemical properties — with near-DFT accuracy at millisecond inference speed. No simulation required.
03
Synthesis Route Generation
Automated synthesis planning powered by reaction prediction models trained on scientific literature. Given a target material, the system proposes viable synthesis routes, precursor availability, and estimated process conditions.
04
Scientific Data & APIs
Curated materials datasets, property benchmarks, and inference APIs for R&D teams integrating AI into existing workflows. Structured for production — not just research notebooks.
Application domains

Industries we
accelerate

Our models are domain-trained across six high-priority materials sectors.

01
Energy Storage
Cathode and anode materials, solid-state electrolytes, separator membranes — optimised for energy density, cycle life, and thermal stability. Longer-lasting batteries for EVs, grid storage, and consumer electronics.
02
Pharmaceuticals
Novel drug delivery materials, excipient screening, pharmaceutical polymers, and controlled-release coatings. We help pharma companies find the right material carrier faster — cutting formulation timelines significantly.
03
Architecture & Construction
High-performance concrete, smart insulation, self-healing structural materials, and low-carbon building composites. Helping architects and developers build structures that last longer and use less energy.
04
Semiconductors
Wide-bandgap semiconductors, 2D materials, high-k dielectrics, and interconnect materials for advanced logic and memory nodes — powering the next generation of chips.
05
Clean Energy
Photovoltaic absorbers, electrocatalysts for green hydrogen, CO₂ capture sorbents, and thermoelectric materials. Cheaper solar, greener hydrogen, and better carbon capture — at industrial scale.
06
Advanced Manufacturing
High-entropy alloys, metal-matrix composites, and structural polymers for aerospace, automotive, and industrial applications. Lighter, stronger, cheaper — all three at once.
07
Biomaterials & MedTech
Biocompatible polymers, implant coatings, surgical scaffolds, and wound-healing materials. Screened for cytotoxicity, degradation rate, and mechanical compatibility with human tissue.
08
Specialty Chemicals
Functional polymers, surfactants, adhesives, and specialty coatings for consumer, industrial, and agricultural applications — with predicted solubility, reactivity, and synthesis feasibility.
Who we work with

Built for anyone
who builds.

Our platform is used across industries — from Fortune 500 R&D teams to first-time founders.

🏭
Manufacturers
Find better materials for your products faster. Whether you're optimising an alloy for a car chassis or finding a better polymer for packaging — our platform gives your engineering team an AI co-pilot.
💊
Pharma & Biotech
Screen excipients and drug delivery materials in silico before committing to wet lab work. Cut formulation development time and reduce the number of failed experiments on the bench.
🏗️
Architecture & Construction
Specify better materials for your projects. Model thermal performance, structural properties, and embodied carbon of new building materials before a single sample is ordered.
⚗️
Research Institutions
Accelerate your hypothesis-to-experiment cycle. Use our property prediction and synthesis route APIs to filter candidate materials before committing lab resources.
🚀
Deep Tech Startups
Building a product that depends on a novel material? We help early-stage companies move from concept to validated material specification without a full in-house materials science team.
💼
Investors & VCs
We provide materials intelligence to investment teams evaluating deep tech companies — helping you understand whether a company's materials claims are scientifically credible and feasible.

Traditional materials R&D runs on intuition, trial and error, and decade-long timelines.
We run on data, compute, and foundation models — built specifically for materials science.

— Karthikeya Aduru, Founder & CEO, Accretion Labs
Get in touch

Work with
us.

Whether you're a manufacturer looking to source better materials, a pharma company optimising a formulation, an architect specifying a new composite, or a startup building a deep tech product — we have a solution for you.