Turn Data into Better Products

Accelerate Innovation and Ensure Product Quality with
LabV’s Material Intelligence Platform

Intelligence at Every Step of the Process

for Smarter Decisions & Outcomes

Make well-informed decisions with precise and actionable insights delivered by our AI assistant.

Advanced Analytics

Precision Analytics: Uncover Patterns, Visualize Results, and Drive Confident Decisions with AI-Powered Insights.

Extensive Mathematical Function Library

Access over 6,000 integrated mathematical functions for rapid data analysis, enabling precise calculations and insights in seconds. LabV’s comprehensive library empowers users to perform complex analyses quickly and efficiently, supporting data-driven decisions.

Integrated Data Visualizations

An extensive library of visualization options, from basic charts to complex matrices, provided by LabV’s assistant to present results in insightful formats. These integrated visualizations help users interpret data effectively and communicate findings with ease.

Custom Company-Specific Analytics

Extend LabV’s assistant with tailored analytical capabilities unique to your organization. This feature allows you to integrate company-specific analysis methods, making the assistant an integral part of your team’s workflow and supporting decisions that align closely with your company’s goals and expertise.

Smart Document Search and Integration

LabV’s assistant can search through documents, including PDF reports and scientific papers, to extract relevant findings and combine them with current database information. This feature enables users to leverage both data for a comprehensive view, enriching analysis and decisions.

Trends & Comparisons

Leverage Historical Data to Identify Patterns, Compare Performance Over Time, and Uncover Trends.

Detection of Trends and Anomalies

Analyze historical data to uncover patterns and identify trends over time. This capability helps R&D and quality teams spot changes in key metrics, providing insights that support proactive decision-making and continuous improvement.

Benchmarking and Comparison

Flexible experiment setup that adapts to each new result, allowing teams to add and configure experiments. LabV’s dynamic design enables iterative testing and real-time adjustments, empowering users to refine formulations efficiently as new data emerges.

Customizable
Views

Filter and adjust data views based on metrics, dates, or specific projects, creating a tailored analysis experience. Customizable views empower teams to focus on relevant information, enhancing the precision of trend and comparison insights.

Aggregation of Data from Diverse Resources

Aggregate historical data from diverse sources into a single, unified view. This function enables a comprehensive analysis, allowing R&D and quality control teams to explore trends across various projects, formulations, and quality metrics, improving overall insight depth.

Recommendations

Intelligent Recommendations: Simplify Work with Suggested Formulations, Tests, and Project Elements.

Frequently Used
Elements

LabV recommends commonly used formulations, tests, and project elements based on your previous projects, making setup faster and ensuring consistency across new work. This feature draws on historical data to simplify recurring tasks.

Frequently Used Component Suggestions

Access commonly used ingredients and components through tagged materials in LabV, offering users a quick reference to frequently paired elements. This feature provides a straightforward guide based on past formulations, supporting users in selecting compatible ingredients efficiently.

Daily Recommendations

Access tailored recommendations directly on your dashboard, offering relevant suggestions for ongoing projects each day. This feature keeps users aligned with best practices and commonly used setups for efficient daily work.

Suggested Analyses

LabV’s assistant provides targeted suggestions for key actions and analyses. In quality control, for instance, users can request essential KPIs, and the assistant will recommend relevant metrics to monitor. This feature helps users quickly pinpoint critical data points, aligning analyses with specific goals for a more focused approach.

Machine Learning

Flexible Machine Learning Environment: Develop Custom Algorithms for Predictive Insights Tailored to Your Data.

Predictive Quality
Insights

LabV provides the environment and tools to help quality assurance teams prepare for predictive quality analysis. By leveraging historical and real-time data, teams can identify patterns that indicate potential quality risks and allows to reduce the likelihood of downtime from unexpected issues.

Smart Formulation Recommendations

Generate optimized formulation suggestions based on successful patterns from past projects. This feature assists R&D teams in accelerating product development by providing data-driven recommendations that align with specific performance goals, streamlining the formulation process.

Anomaly Detection

Identify and alert teams to any deviations in test results, production parameters, or formulation consistency. With automated anomaly detection, both R&D and QC teams can quickly respond to irregularities, maintaining product standards and reducing errors.

Data-Driven Optimization

Use machine learning to analyze production and quality data for process improvement opportunities, such as reducing material waste, improving yield, or shortening cycle times. This feature empowers quality assurance teams with actionable insights to enhance operational efficiency.

Intelligence at Every Step of the Process for Smarter Decisions & Outcomes

Transform your data into clear, actionable answers with our AI-powered assistant, guiding you to informed decisions every step of the way.

Advanced Analytics and Visualization: Perform complex calculations and present data visually, enabling you to quickly interpret results and identify key patterns to support data-driven decisions.
Historical Analytics for Trends and Comparison: Use historical data to make direct comparisons and identify trends, providing proactive quality control and faster time to market.
Contextual-Based Recommendations: Benefit from suggestions for commonly used formulations, tests, material data, and related data based on your previous work, helping streamline setup and ensure consistency across projects.
Machine Learning Capabilities: Utilize a flexible ML-ready environment, allowing you to harness your data to build and refine your own machine learning algorithms for tailored insights and predictive analysis.