What is ThinkMaterial?

ThinkMaterial is an AI-powered materials science platform that accelerates research and development by combining foundation models, Bayesian knowledge engineering, and adaptive experimental design. It enables materials researchers to discover new materials faster, with fewer experiments, and at lower cost than conventional methods.

Who uses ThinkMaterial?

ThinkMaterial is used by materials researchers across diverse sectors including energy storage, catalysis, polymers, semiconductors, and specialty chemicals. Our users range from academic research groups and startups to R&D teams at global enterprises. The platform is valuable for any organization developing, optimizing, or applying advanced materials.

How is ThinkMaterial different from other materials informatics platforms?

ThinkMaterial differentiates itself through several key innovations:

1. Our MaterialLM foundation models combine the capabilities of large language models with materials-specific knowledge
2. Our Bayesian Knowledge Engineering approach explicitly handles uncertainty in scientific knowledge
3. Our Adaptive Experimental Design system reduces experimental requirements by 60-90% compared to traditional methods
4. Our integration of these components creates a seamless workflow from knowledge to prediction to targeted experimentation

Together, these capabilities enable results that are not possible with conventional materials informatics approaches.

What classes of materials does ThinkMaterial support?

ThinkMaterial supports diverse material classes including:

• Battery and energy storage materials
• Catalysts and electrocatalysts
• Polymers and soft materials
• Semiconductors and electronic materials
• Structural materials and alloys
• Nanomaterials and quantum materials
• Biomaterials and bio-inspired systems

Our platform architecture allows us to continuously expand to new material domains based on customer needs.

What deployment options are available?

ThinkMaterial offers flexible deployment options:

• Cloud-Hosted: Fully managed solution with immediate access
• On-Premises: Complete installation within your infrastructure
• Hybrid: Distributed architecture with sensitive components on-premises

The appropriate model depends on your security requirements, existing infrastructure, and usage patterns. Our team can help determine the optimal configuration for your needs.

How accurate are ThinkMaterial's predictions?

Prediction accuracy varies by material class and property type, but ThinkMaterial consistently outperforms conventional prediction methods by 30-65%. Our system provides explicit uncertainty quantification with each prediction, allowing researchers to evaluate confidence levels. Additionally, our adaptive experimental design process continuously improves prediction accuracy in the areas most relevant to your research goals.

What knowledge sources does ThinkMaterial incorporate?

ThinkMaterial integrates diverse knowledge sources including:

• Scientific literature (journals, patents, technical reports)
• Public materials databases and repositories
• Theoretical and computational knowledge
• Experimental data from our user community (anonymized and with permission)
• Your organization's proprietary data (kept strictly confidential)

Our Bayesian Knowledge Engineering approach allows us to systematically combine these sources while handling inconsistencies and uncertainties.

How much can ThinkMaterial reduce experimental requirements?

For material optimization tasks, ThinkMaterial typically reduces experimental requirements by 60-90% compared to traditional methods like Design of Experiments or high-throughput screening. The exact reduction depends on the complexity of the material system, prior knowledge availability, and desired confidence level. Our adaptive experimental design continuously recalculates the optimal experiment sequence based on accumulated results.

How much data do I need to provide to use ThinkMaterial?

ThinkMaterial can begin providing value with minimal initial data. Our pre-trained models and knowledge base allow us to make meaningful predictions even without customer-specific data. However, performance improves as more of your data is incorporated. For completely novel material systems, we recommend starting with at least 10-20 experimental data points, though even basic compositional information can enable useful predictions.

Can ThinkMaterial integrate with my laboratory systems?

Yes, ThinkMaterial offers comprehensive integration capabilities with diverse laboratory systems including:

• Electronic Lab Notebooks (ELNs) and LIMS
• Characterization instruments and data systems
• Automated synthesis platforms
• High-throughput screening systems
• Data analysis and visualization tools

We provide standardized connectors for common systems and can develop custom integrations for specialized equipment. See our Laboratory Systems Integration documentation for details.

How long does implementation take?

Implementation timelines vary based on deployment model, integration requirements, and organizational complexity:

• Basic cloud deployment: 1-2 weeks
• Standard implementation with moderate integrations: 4-8 weeks
• Enterprise implementation with extensive integrations: 2-4 months

Our Implementation Methodology uses a phased approach to deliver value rapidly while building toward comprehensive adoption. Most customers begin seeing value within the first month of implementation.

What training is required for researchers to use ThinkMaterial?

ThinkMaterial is designed with intuitive interfaces that minimize training requirements. Most researchers can begin using basic platform features after a 1-2 hour orientation session. We provide comprehensive training resources including:

• Interactive tutorials within the platform
• On-demand video training modules
• Live training sessions (virtual or on-site)
• Detailed documentation and user guides

For advanced features and system administration, we offer additional specialized training programs.

What implementation support does ThinkMaterial provide?

Our implementation support varies by plan level:

• Starter: Self-service implementation with documentation and support portal access
• Professional: Guided implementation with dedicated implementation specialist
• Enterprise: Full implementation consulting including workflow analysis, integration development, and change management

All implementations include access to our implementation methodology toolkit with templates, best practices, and planning resources. Additional implementation services are available as needed.

How customizable is ThinkMaterial?

ThinkMaterial offers extensive customization options:

• User interface: Configurable dashboards, reports, and workflows
• Data models: Custom properties, metadata, and relationships
• Integration: Connectors for your specific laboratory systems
• Models: Domain-specific prediction models for your material classes
• Workflows: Automated processes aligned with your research methodologies

Enterprise customers can access additional customization capabilities including white-labeling, custom module development, and proprietary model training.

How will ThinkMaterial change our research workflow?

ThinkMaterial enhances rather than replaces existing research workflows. The platform augments researcher capabilities by providing:

1. Knowledge-driven predictions to focus experimental efforts
2. Uncertainty quantification to guide decision-making
3. Optimal experiment selection to maximize information gain
4. Structured knowledge management to preserve insights

While the platform can dramatically improve research efficiency, researchers maintain full control over the research process, with ThinkMaterial serving as a powerful decision support tool.

How does ThinkMaterial handle data security?

ThinkMaterial implements comprehensive security measures:

• End-to-end encryption for all data in transit and at rest
• Role-based access control with detailed permission management
• Regular security audits and penetration testing
• SOC 2 Type II compliance (cloud deployments)
• Optional private cloud or air-gapped deployments for highly sensitive environments

Our Security & Compliance documentation provides detailed information on our security architecture and controls.

Who owns the intellectual property generated using ThinkMaterial?

Your organization retains full ownership of all intellectual property generated using ThinkMaterial. This includes:

• Materials discovered or optimized using the platform
• Experimental designs and research strategies
• Models trained on your proprietary data
• Custom workflows and methodologies developed

ThinkMaterial's role is strictly as a tool provider, with no claim to IP generated through the use of our platform. Our terms of service explicitly confirm your exclusive ownership of all research outputs.

How is my data used by ThinkMaterial?

By default, your data is used exclusively to provide services to your organization. We do not use customer data to train our general models without explicit permission. For cloud deployments, we may use anonymized performance metrics solely for platform optimization.

With explicit opt-in, customers can choose to participate in our collaborative improvement program, allowing anonymized data to contribute to model improvements. This is entirely optional and configured with granular controls to protect sensitive information.

What is ThinkMaterial's data retention policy?

For active subscriptions, we retain your data for the duration of our service agreement. When a subscription ends, we follow these protocols:

• Cloud deployments: Data is available for export for 30 days, then deleted within 90 days
• On-premises deployments: All data remains on your infrastructure
• Hybrid deployments: Cloud components follow cloud policy, on-premises data remains on your infrastructure

Custom retention policies can be established for Enterprise customers with specific compliance requirements.

How is ThinkMaterial priced?

ThinkMaterial offers tiered subscription plans based on usage scale and capability requirements:

• Starter: For small teams and initial exploration
• Professional: For focused research teams with moderate scale requirements
• Enterprise: For large organizations with advanced needs

Pricing is based on factors including number of users, prediction volume, deployment model, and required capabilities. See our Pricing page for detailed information on plan options and features.

What are the standard subscription terms?

Our standard subscription terms include:

• Monthly or annual billing options (with discounts for annual commitments)
• Flexible scaling to add users or capacity as needed
• No long-term contractual lock-in (except where custom development is provided)
• Clear SLAs for availability and support response

Enterprise customers typically have customized agreements based on their specific requirements. Multi-year commitments are available with additional discounts.

How do prediction credits work?

Prediction credits are consumed when using ThinkMaterial's prediction capabilities. Different prediction types require different credit amounts based on computational intensity. For example:

• Basic property predictions: 1 credit per prediction
• Multi-property predictions: 2-5 credits depending on complexity
• Inverse design queries: 5-20 credits depending on constraints

Each subscription plan includes a monthly allocation of prediction credits, with the ability to purchase additional credits as needed. Unused credits do not roll over to the next month.

What is the typical ROI timeframe for ThinkMaterial?

Most organizations achieve positive ROI within 3-6 months of implementation. Value is realized through multiple mechanisms:

• Reduced experimental costs (60-90% fewer experiments required)
• Accelerated development timelines (typically 50-70% faster)
• Higher-performing materials discovered
• Increased researcher productivity
• More comprehensive intellectual property coverage

Our ROI Calculator can help estimate the specific value potential for your organization based on your research profile.

Are academic discounts available?

Yes, ThinkMaterial offers substantial discounts for academic institutions, non-profit research organizations, and government laboratories. Our academic program provides access to platform capabilities at reduced rates for research and educational purposes. Contact our academic team for specific information about academic licensing options.

What support options are available?

ThinkMaterial offers tiered support options:

• Standard Support: Email and portal access with 24-hour response time (Starter plan)
• Priority Support: Email, portal, and scheduled calls with 8-hour response time (Professional plan)
• Dedicated Support: Email, portal, direct phone, and dedicated contact with 2-hour response time (Enterprise plan)

Additional support enhancements available include extended hours coverage, on-site support, and designated technical contacts.

What resources are available to help us succeed with ThinkMaterial?

ThinkMaterial provides comprehensive resources including:

• Detailed documentation with guides, tutorials, and reference materials
• Video training library covering platform features and best practices
• Regular webinars on platform capabilities and materials science topics
• User community forums for peer-to-peer knowledge sharing
• Professional services for specialized implementation support

Enterprise customers also receive access to our Customer Success program with proactive optimization recommendations and regular business reviews.

How can I request new features?

Feature requests can be submitted through multiple channels:

• Directly through the platform's feedback mechanism
• Via our support portal
• Through your account representative (Professional and Enterprise plans)

We prioritize feature development based on customer needs, technical feasibility, and alignment with our product roadmap. Enterprise customers have the option to fund accelerated development of specific capabilities through our custom development program.

How can I see ThinkMaterial in action?

We offer several ways to experience ThinkMaterial:

• Request a demonstration tailored to your specific research areas
• Register for an upcoming webinar showcasing platform capabilities
• Start a free trial to explore the platform with your own data
• Schedule a consultation to discuss how ThinkMaterial can address your specific challenges

For established research organizations, we also offer proof-of-concept projects focused on your specific material systems.