Two halves of one problem, on one platform. 10-day AI-validated formulation sprints that end 18-month R&D cycles — and vendor-managed inventory that keeps the materials behind them flowing. Built in Doha. QCS mapped.
In the sprint shown, every candidate delivered passed physics validation before reaching a lab, and no failed test was carried forward. Figures describe MoleQuant engagements and vary by challenge — they are not a general guarantee.
The only materials platform purpose-built for the GCC — not adapted, not translated. We run both halves of the industrial materials problem: discovering the formulation, and supplying the raw materials it depends on. 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 mapped 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.
On the VMI side we hold stock for customers who compete with each other. Every query is restricted to your organisation in the database itself — your stock levels, pricing, suppliers and contracts are invisible to everyone else on the platform.
Every change carries what it was before and after, in a record nobody can edit afterwards. Seven roles with genuine separation of duties — a storekeeper adjusts stock but cannot approve a purchase order.
Evidence for a service review, not a preferenceFriday and Saturday are the weekend, Ramadan hours and public holidays are respected, Hijri dates sit alongside Gregorian. Every “three working days” lands on the right day.
You bring a chemical formula and the problem it has to solve. You get back a formulation that has already survived physics validation, with the synthesis route, compliance mapping and safety documentation to produce it — in ten days rather than eighteen months.
Candidate formulations are proposed by a language model, then screened against retrieved records from Materials Project, PubChem, NIST and OQMD. Every numeric claim is corroborated against independently computed predictions and flagged where it cannot be — and carbon figures, patent numbers and property values are barred by design from originating in a model at all.
Every candidate passes QSPR property prediction and a physics check before it reaches you. The expensive part of R&D is failed experiments; this is how they stop happening.
100% pass rate · zero failed testsSynthesis route, cost analysis, QCS mapping, carbon footprint and safety documentation — in English and Arabic. Enough to take into production, not just into a meeting.
No formulation is released by a machine. Our team reviews every candidate set before it is delivered, which is why the pass rate holds.
Go deeper: the validation engine · how a sprint runs · what you receive
Discovering the right material and actually having it on site are not separate concerns — they are the same industrial problem, split in two by the software that usually serves them. MoleQuant runs both ends, so a validated formulation does not stop at a document.
A ten-day sprint turns a challenge into a physics-validated formulation.
The output names exactly which raw materials, in what quantities, to what specification.
The same team sources, plans and replenishes those materials so production can actually run.
One engagement, one team, one accountable party — from the formula to the factory floor.
MoleQuant's VMI service extends beyond formulation into your ongoing materials supply chain — giving you continuous visibility and control over the raw materials your formulations depend on, backed by our team's 18 years of GCC industrial procurement experience.
Current stock positions for every site you operate, in one place, in Arabic or English — with alerts that fire before a shortage becomes a stoppage. We run the system; you see through it.
Your data isolated from every other customerReplenishment planned ahead of demand rather than in reaction to it, reducing both stockouts that halt production and the overstock that quietly ties up working capital.
One counterparty managing the suppliers behind your raw materials, streamlining procurement workflows instead of adding another interface to them.
When a Chemical Formula sprint finishes, the validated formulation hands straight over to the team that sources it — same people, same engagement. The materials list does not have to be re-specified or re-tendered.
Every item below is live today.
For industrial manufacturers, materials discovery and materials supply are two halves of the same problem. MoleQuant is one of the only platforms in the GCC connecting physics-validated formulation directly to the procurement and inventory workflows that bring it to production.
Generic AI guesses. MoleQuant reasons from real materials science — screening every candidate against a licensed, commercially-usable materials database and cross-checking each prediction against the laws of physics.
We screen candidate materials against the Materials Project — an open database of more than 150,000 inorganic compounds with computed formation energies, convex-hull distances, band gaps and full crystal structures. Each candidate is checked for whether it is already known, how close to thermodynamically stable it is, and what the nearest documented composition looks like.
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.
Four steps discover the material. Four more keep it flowing. One loop, one team — and the last step feeds the first.
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 mapping checks.
You receive a complete formulation package — synthesis pathway, cost analysis, compliance and safety documentation — in 10 days.
The validated formulation names exactly which raw materials, in what quantity and to what specification. That list becomes the contract terms and the stock records — entered once, not retyped.
One request goes to several suppliers and the replies are compared side by side on price, lead time and past performance. Orders route to the right approver by value, site or category before anything is committed.
Goods are received against what actually turned up — accepted, rejected and why — with the delivery note attached. Every quantity carries its batch, certificate and expiry, and leaves stock against a named job.
What each site really consumes, how variable it is and how long the supplier truly takes set the minimum levels — recalculated and proposed with the reasoning shown, never changed silently. That consumption record is also what the next formulation is designed against.
A sprint returns not just a formulation but its full scientific, compliance, safety and sustainability documentation. VMI keeps producing documents long after it — the orders, receipts, registers and records that prove what was bought, held and consumed. All of it 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 the two core services, 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 — and the supply chains that keep them running.
A GCC petrochemical manufacturer was running four plants from four separate spreadsheets. Nobody could answer what was on hand across the group without a day of phone calls, drums of speciality additive were being written off past their expiry while an identical drum sat unused at another site, and every purchase order was retyped into the supplier’s portal by hand.
MoleQuant took the inventory under management. Opening stock came in from their own spreadsheets in a day rather than weeks of typing. Every quantity now carries its batch, certificate and expiry, with the oldest issued first and material flagged before it expires. Minimum levels are no longer numbers somebody typed once — they recalculate from what each site actually consumes and how long each supplier truly takes, and are proposed for approval rather than changed silently. Purchase orders leave the building as numbered, branded, bilingual PDFs, and every one of them routes through the customer’s own approval chain first.
Where the two halves met: when a Chemical Formula sprint revalidated one of their high-temperature formulations, the materials it specified fed straight into the same contracts and stock records — no re-specification, no re-tender, no second supplier hunt.
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-mapped, climate-validated formulations.
Answers to what comes up in almost every first conversation.
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.
We respond within 24 hours · No commitment required 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.
