German-engineered · Trusted by European Industry & Academia

The AI Platform
for Materials Science
R&D Intelligence

BECT gives every organisation a secure private workspace to digitise, simulate and accelerate R&D — from automotive coatings to academic research. Powered by domain-specific AI trained on decades of materials science knowledge.

Trusted in
🚗 Automotive 🎨 Coatings 🔬 Academia 🏭 Industrial R&D 🇩🇪 Germany
BECT Lab · Project Dashboard
// Active Experiments — Alkyd Coating Series
🧪
EXP-2847 · TiO₂ / Alkyd B-42
Gloss coating · Automotive grade
✓ Complete
⚗️
EXP-2848 · Silica matting agent
Low-gloss variant · OEM spec
⟳ Running
🤖
EXP-2849 · AI-suggested formula
3 variants predicted by BECT AI
✦ AI
BECT AI — Property Prediction
EXP-2847
Gloss 60°
84.2 GU
Adhesion
GT 0
Dry time
3.2 h
Corr. resistance
1000 h
Confidence
94.7%
Similar exp.
247
Time saved
14 days
Used across
Automotive OEMs Tier 1 Suppliers Coatings Manufacturers Research Universities Fraunhofer Institutes Chemical Companies
Automotive CoatingsAI FormulationSurface TechnologyPaints & PigmentsPolymer ResearchAcademic R&DLIMS / ELNREACH ComplianceISO StandardsCorrosion TestingDFG ProjectsEU HorizonMaterials WikiSecure Multi-Tenant Automotive CoatingsAI FormulationSurface TechnologyPaints & PigmentsPolymer ResearchAcademic R&DLIMS / ELNREACH ComplianceISO StandardsCorrosion TestingDFG ProjectsEU HorizonMaterials WikiSecure Multi-Tenant
AI at the Core

Not just software.
An AI that thinks in molecules.

BECT's AI is trained specifically on materials science — coatings, polymers, automotive surfaces. It predicts properties, detects anomalies and learns from your own proprietary experiments. No generic ML. Domain intelligence from day one.

🧠

Domain-specific AI models

Pre-trained on decades of coatings and materials science data. Fine-tuned on your proprietary experimental history. BECT AI speaks your language from day one.

🎯

Formulation prediction & simulation

Enter raw materials and target properties — BECT AI predicts gloss, adhesion, drying time and corrosion resistance before a single experiment is run.

⚠️

Anomaly detection & alerts

AI monitors your results continuously and flags deviations before they become failures. Catch batch inconsistencies and process drift automatically.

📈

Adaptive learning

Every experiment makes BECT AI smarter for your specific materials system. The longer you use it, the more accurate and valuable the predictions become.

BECT AI · Formulation Analysis
// Input — EXP-2847 Alkyd Coating
ComponentAmountFunctionStatus
Alkyd resin B-4245.2 gBinder
TiO₂ (Rutile)18.5 gPigment
Silica matting3.8 gMatting
Cobalt drier0.4 gCatalyst
AI Predicted Properties
94.7% confidence
Gloss (60°)
84.2
Adhesion
GT 0
Dry time (h)
3.2h
Corr. resistance
1000h
Model conf.
94.7%
Similar exp.
247
Days saved
14
10×
Faster R&D development cycles with AI-driven formulation simulation
40%
Average reduction in redundant experiments across all active organisations
100%
Data traceability and audit trail for every experiment and decision
DSGVO
German-engineered, fully compliant, hosted in Germany with ISO alignment
Secure Workspace & Knowledge Wiki

Your private R&D vault.
A shared industry intelligence.

Every organisation gets a fully encrypted, isolated workspace. Your IP and formulations are yours alone. Optionally contribute anonymised data to build the world's most comprehensive materials science knowledge base.

🔐

Encrypted private workspace

Each organisation is completely isolated. Formulations, IP and research data are encrypted end-to-end and inaccessible to other tenants — always.

🏗️

Build your own R&D simulation

Configure your workspace to mirror your exact research processes — automotive clearcoat, polymer adhesives or academic grant projects.

📖

Contribute to the materials wiki

Share anonymised, non-sensitive research entries to build a growing collective knowledge base — the Wikipedia of materials science R&D.

🤖

AI trained on wiki + your data

BECT AI draws on your private experiments first, then optionally the wider wiki knowledge — always with your explicit permission.

BECT Platform — Organisation View
All systems secure
// Active Organisations
🚗
BMW Group R&D
Automotive · Surface Technology
🔒 Private
🎨
Coatings Lab NRW
Industrial · Paints & Polymers
🔒 Private
🔬
RWTH Aachen Chemistry
Academic · Materials Research
🏛 Academic
🛡️
Fraunhofer Institute
Research · Corrosion & Surface
🔒 Private
// Shared Materials Wiki
Alkyd coating formulations247 entries
Automotive clearcoat systems183 entries
Anti-corrosion coatings96 entries
Bio-based polymer systems74 entries
Industries

Proven across Europe's
most demanding sectors.

🚗

Automotive Industry

Clearcoat and basecoat formulation, corrosion protection and surface simulation for OEMs and Tier 1 suppliers.

ClearcoatOEM specsVDA standardsSalt spray
🎨

Paints & Coatings

Formulation lifecycle, colour science, film performance and regulatory compliance for industrial coatings manufacturers.

Alkyd / EpoxyVOCREACHColour
🔬

Academic Research

ERP-like project management for universities and institutes. DFG grants, EU Horizon reporting, IP protection.

DFGEU HorizonIPPublications
⚗️

Polymer & Adhesives

Rheology, mechanical testing, curing kinetics and AI-optimised formulation for polymer systems and structural adhesives.

RheologyDSC / TGACure kinetics
🛡️

Surface Technology

Anti-corrosion, surface treatment and functional coating R&D for aerospace, heavy industry and offshore applications.

CorrosionPlasmaNanocoatings
🌱

Sustainable Materials

Bio-based formulations, LCA analysis and circular economy compliance for green chemistry and low-VOC development.

Bio-basedLCAGreen
Platform Modules

Five AI-powered modules.
One complete ecosystem.

Predictive AI

BECT AI

Property prediction, anomaly detection and smart recommendations. Train on your private data. Simulate before you experiment.

Analytics
📊

BECT Insight

AI-driven dashboards and reporting. Uncover hidden relationships across thousands of experiments in seconds.

ERP-like
🗂️

BECT Projects

Full R&D lifecycle management — grant tracking, milestones, resource allocation and team collaboration.

Compliance & IP
🔒

BECT Vault

Encrypted vault for IP, patents and regulatory documents. REACH, ISO and DSGVO compliant with full audit trails.

🇩🇪
Built in Germany.
For the world.
DSGVO · REACH · ISO
How It Works

From raw data to
AI-powered discovery.

01

Sign up & configure

Create your secure organisation workspace. Configure it to mirror your exact research domain — coatings, automotive or academic grants.

02

Import & enrich

Connect instruments, import spreadsheets or LIMS data. BECT AI automatically structures, tags and enriches your experimental data.

03

Simulate & predict

Run AI formulation simulations. Get property predictions and anomaly alerts before touching the lab — saving weeks of work.

04

Collaborate & grow

Invite team members, manage projects and optionally contribute anonymised insights to the BECT materials wiki.

Early Feedback

What researchers
are saying.

Finally a platform that understands that formulation data is as sensitive as financial data. The secure workspace gives us confidence to digitise everything.

MK
Dr. M. Krause
Head of Coatings R&D · Automotive OEM · Germany

The wiki concept is brilliant. We contribute anonymised data and benefit from thousands of formulations we would never have had access to otherwise.

SB
Prof. S. Bauer
Materials Science · RWTH Aachen

We cut our coating development cycle from 18 months to under 6. The AI property predictions are remarkably accurate for our polymer adhesive systems.

TH
T. Hoffmann
R&D Director · Industrial Coatings GmbH · NRW

Ready to build your
AI R&D workspace?

Join European industrial and academic organisations using BECT to accelerate discovery, protect their IP and contribute to a shared materials intelligence.

Request a Demo → See the AI

BECT · Applied Payments Technology GmbH · Uerdinger Str. 532 · 47800 Krefeld, Germany
info@bect.eu