MoleQuant replaces years of failed experiments with 10-day AI-validated formulation sprints. Built in Doha. QCS compliant. The only platform of its kind in the GCC.
Every formulation we've delivered has passed validation in the client's own lab — zero failed experiments to date.
The only materials discovery platform purpose-built for the GCC — not adapted, not translated. Built from the ground up for the region's industrial environment: QCS standards, Arabic workflows, and local data sovereignty.
Deep computational materials science fused with AI architecture to deliver validated formulations that standard R&D cannot reliably produce. Our team brings 30+ years of combined experience across materials science, AI systems, and GCC enterprise.
When Qatar's sovereign development institution backs you, it signals one thing: the government trusts the science. QDB doesn't invest in ordinary — and neither do we.
R&D cost savings created for paying clients across Saudi Arabia and Oman — now live in Qatar. Cross-border demand validated, with zero failed tests across all delivered sprints.
72% gross margin · 100% pass rateEvery formulation is validated against Qatar Construction Specifications before a single experiment is run.
Your R&D data stays in Qatar. Local hosting meets the strictest enterprise security and government sovereignty requirements.
A complete R&D workflow in Arabic and English — RTL throughout. Live and operational today.
Generic AI guesses. MoleQuant reasons from real materials science — screening against the largest material datasets ever assembled and cross-checking every prediction against the laws of physics.
We screen candidate materials against GNoME — Google DeepMind's landmark dataset of 2.2 million crystal structures, including roughly 380,000 predicted-stable materials. It means we explore a materials space orders of magnitude larger than conventional R&D can reach.
Integrates data from established open databases — Materials Project, PubChem, NIST, NOMAD, OQMD and ChemSpider — so predictions stand on the sources researchers already trust.
Quantitative structure–property models predict band gap, density, stability score and formation energy before anything reaches a lab.
Our generative model proposes entirely novel candidate formulations — exploring chemistry beyond what's already been tried.
Multi-objective optimization tunes formulations across competing targets — performance, cost and compliance — at once.
Every AI-generated candidate is cross-validated against physical laws and manufacturing constraints. No black-box predictions — ever.
The platform is built to learn: lab feedback feeds an auto-learning knowledge base and retrains the models, so the engine sharpens with every sprint.
A simple, repeatable process — every time. No failed experiments. No wasted months.
Submit your materials challenge through the client portal — target properties, operating conditions and compliance requirements.
Our ML models analyse material properties and generate 50+ optimised candidates, ranked and scored entirely within our secure platform — delivering the top 2–3 validated options.
Every candidate is filtered through the Trust Engine — physical laws, manufacturing constraints and QCS compliance checks.
You receive a complete formulation package — synthesis pathway, cost analysis, compliance and safety documentation — in 10 days.
Every sprint returns not just a formulation, but its full scientific, compliance, safety and sustainability documentation — generated automatically, in Arabic and English.
Documents are decision-support and pre-validation outputs to accelerate your own approval process.
From oil fields to mega-project construction sites, MoleQuant delivers validated formulations for the region's most demanding industrial sectors.
A manufacturing-led economy with high R&D spend and zero AI materials-discovery competitors.
Qatar's industrial sector is expanding rapidly across Oil & Gas, Petrochemicals and Construction — all requiring advanced materials R&D.
No competitor occupies the fast-and-physics-validated quadrant. 10 days versus 12–18 months for legacy R&D platforms.
A single avoided failed experiment ($100K+) justifies an entire annual subscription.
Beyond sprints, MoleQuant is a platform. Connect validated materials intelligence directly into your own systems and scale it across your R&D organisation.
From a single proof-of-concept sprint to full enterprise deployment — a clear path at every stage.
Validated formulations for the region's most demanding environments.
A Saudi oil & gas client needed proppants able to withstand extreme downhole temperatures and pressures. MoleQuant delivered a validated formulation in 10 days — replacing a 14-month R&D cycle.
Qatar's high-salinity coastal environment and 55°C+ summer heat demand concrete that standard R&D cannot reliably produce. The Trust Engine delivered QCS-compliant, climate-validated formulations.
Tell us about your materials challenge. We'll show you exactly how MoleQuant compresses your R&D cycle and eliminates failed experiments. We respond within 24 hours — no commitment for the free sprint.
Qatar's sovereign development institution doesn't back ordinary ventures. QDB's investment signals that the highest levels of Qatar's government trust the science — and the team behind it.