Trusted by European Industry & Academia

The Secure R&D
Intelligence Platform
for Materials Science

BECT delivers a secure, multi-tenant ERP-like platform where every organisation — automotive, coatings, academic or industrial — builds their own private R&D knowledge base, powered by AI and protected by German data standards.

Trusted in
🚗 Automotive 🎨 Coatings 🔬 Academia 🏭 Industrial R&D 🇩🇪 Germany
BECT Platform · Secure Login
🚗
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
Alkyd coating formulations
247 entries
Automotive clearcoat systems
183 entries
Anti-corrosion coatings
96 entries
Automotive CoatingsSurface TechnologyPaints & PigmentsPolymer ResearchAcademic R&DLIMS / ELNAI FormulationREACH ComplianceISO StandardsCorrosion TestingDFG ProjectsEU HorizonMaterials WikiSecure Multi-Tenant Automotive CoatingsSurface TechnologyPaints & PigmentsPolymer ResearchAcademic R&DLIMS / ELNAI FormulationREACH ComplianceISO StandardsCorrosion TestingDFG ProjectsEU HorizonMaterials WikiSecure Multi-Tenant
The Platform

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

Every organisation gets a fully isolated, secure workspace. Your data is yours — always private. Yet collectively, BECT builds the world's most comprehensive materials science knowledge base.

🔐
Secure login & isolated workspace
Each organisation has its own encrypted, access-controlled environment. Sensitive formulations, research data and IP are completely invisible to other tenants.
🏗️
Build your own R&D simulation
Configure your workspace to mirror your exact research processes — coatings, polymers, automotive, academic grants. No two setups look the same.
📖
Contribute to the materials wiki
Organisations can optionally share anonymised, non-sensitive research data to build a growing collective knowledge base — the Wikipedia of materials science.
🤖
AI trained on your private data
BECT AI learns from your own experimental history first, then optionally draws on the wider platform knowledge — always with your permission, always transparent.
BECT Platform — Organisation View
All systems secure
🔒
Formulations Database
2,847 experiments · Private
Encrypted
🔒
Active R&D Projects
14 projects · 6 members
Private
🔒
IP & Patent Vault
38 documents · Confidential
IP Protected
🌐
Wiki Contribution
12 anonymised entries shared
Public Wiki
🤖
3 new formulation suggestions
Based on your last 12 experiments
New
⚠️
Anomaly detected — Batch #EXP-291
Adhesion result outside expected range
Review
Industry Focus

Proven across the most
demanding European sectors.

🚗

Automotive Industry

Clearcoat and basecoat formulation management, corrosion protection testing and surface finish simulation for OEMs and Tier 1 suppliers across Germany and Europe.

Clearcoat systemsOEM specsSalt sprayVDA standards
🎨

Paints & Coatings

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

Alkyd / EpoxyVOC complianceREACHColour matching
🔬

Academic Research

ERP-like project management for universities and research institutes. DFG grant tracking, EU Horizon reporting, publication management and student collaboration.

DFG / EU HorizonThesis trackingIP protectionPublication mgmt
⚗️

Polymer & Adhesives

Rheology, mechanical testing, curing kinetics and formulation optimisation for polymer systems, structural adhesives and sealing technologies.

RheologyDSC / TGACure kineticsMechanical props
🛡️

Surface Technology

Anti-corrosion protocols, functional coating development and surface treatment research for aerospace, heavy industry and offshore applications.

Corrosion testingPlasma treatmentNanocoatingsTribology
🌱

Sustainable Materials

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

Bio-basedLCACarbon footprintGreen chemistry
Platform Modules

Five modules.
One complete ecosystem.

ELN / LIMS
🧪

BECT Lab

Electronic lab notebook tailored for materials science. Capture experiments, formulations, test results and instrument data — structured, searchable, traceable.

Predictive AI
🤖

BECT AI

AI-driven formulation predictions and anomaly detection. Train models on your proprietary dataset. Get smart recommendations before running experiments.

Analytics
📊

BECT Insight

Advanced visualisation and reporting. Uncover hidden relationships across thousands of experiments. Interactive dashboards for management and researchers.

ERP-like
🗂️

BECT Projects

Full project lifecycle management. Grant tracking, milestone planning, resource allocation and team collaboration for academic and industrial R&D teams.

Compliance & IP
🔒

BECT Vault

Secure vault for IP, patents and regulatory documents. REACH, ISO and DSGVO compliant from day one. Full audit trails for every research action.

🇩🇪
Built in Germany.
For the world.
DSGVO-native · REACH-ready · ISO-aligned
Process

From raw data to
breakthrough discovery.

01

Sign up & configure

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

02

Import & structure

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

03

Simulate & predict

Run AI-driven formulation simulations. Get property predictions, anomaly alerts and optimisation suggestions before touching the lab.

04

Collaborate & scale

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

Early Feedback

What researchers
are saying.

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

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

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

SB
Prof. S. Bauer
Materials Science, RWTH Aachen

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

TH
T. Hoffmann
R&D Director, Industrial Coatings GmbH

Ready to build your
R&D intelligence workspace?

Join the growing community of European industrial and academic organisations using BECT to accelerate discovery, protect their IP and contribute to a shared materials future.

Request a Demo → Explore Platform

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