With the rapidly changing R&D environment of today, formulation scientists are racing against the clock for faster innovation, better-performing products, and sustainable alternatives. Many teams are still navigating development through repetitive trial-and-error experiments and manually reviewed documents. The result is familiar: longer detours, repeated dead ends, unnecessary resource burn.
What if there is a way to turn years of experiments, recipes, and process data into a formulation compass that helps teams see the landscape ahead – revealing ingredient interactions, forecasting how your recipe behaves and getting recipe recommendations powered by AI?
Introducing Formulation AI, the latest module in LabVantage Analytics.
Before we dive in – we’re hosting a live webinar where scientists can see how Formulation AI is in action. Sign up here.
Why Formulation Development Demands a New Method
R&D has been the engine of creating innovative products and technologies.
But today’s environment demands more — and faster:
- Consumer tastes shift overnight
- Assay results and properties may live in custom spreadsheets or siloed ELNs.
- Sustainability and regulatory pressures intensify
The real challenge isn’t a lack of data, but the inability to access, interpret, and apply it efficiently, forcing teams into long, repetitive trial-and-error cycles that slow innovation and drain resources. To keep up, traditional R&D must evolve.
Meet your new lab partner: Formulation AI
LabVantage Analytics, powered by mcube brings AI-driven intelligence directly into your formulation workflow. By learning from historical recipes, experimental data, and process results, Formulation AI gives scientists the ability to test ideas virtually, predict performance instantly, and generate recommendations for optimal formulations long before they reach the lab.
Accelerate Innovation With Predictive Insights – Test Your Own Ideas
Have a recipe in mind? Test it virtually first. With Formulation AI your team can instantaneously figure out essential formulation properties that would have taken lab results several days or weeks to be known. Formulation AI considers ingredient combinations, concentration ranges, and historical performance to predict results such as viscosity, stability, texture and flow behaviour and sensory attributes.
The system can also cluster formulations with similar properties, helping your teams understand how small compositional changes influence final performance.
These predictive insights allow R&D teams to quickly screen formulation ideas, eliminate low-potential candidates, and focus on experimental resources where they matter most.
AI-powered Formulation Recommendations – Reach Your Formulation Goals Faster
Know your goal, but not the recipe? Let AI do the heavy lifting. Beyond prediction, Formulation AI includes a Bayesian Optimizer that recommends ingredient combinations most likely to meet your target properties. Scientists simply define:
- The properties they want to maximize or minimize with relative weights
- Constraints around properties or ingredients
- Cost or sustainability considerations
The system then evaluates the design space and generates a ranked list of the best possible formulations. This lets the team start with the most promising candidates instead of testing random combinations.
With Formulation AI, scientists gain a “digital co-pilot” that accelerates discovery and improves success rates during lab trials.
Connect Directly With Your LIMS Workflow
Because the module operates natively within the LabVantage ecosystem, all AI-generated insights, predictions, and recommended formulations are connected with your LIMS results and workflow to ensure consistency and avoid manual work. Interactive dashboards give teams instant visibility into:
- Property trends
- Prediction confidence
- Experiment Outcome
This seamless integration ensures consistency and eliminates manual work and ensures complete traceability from concept to product release.
Formulation AI accelerates innovation in sectors where speed, accuracy, and optimization matter most
Specialty Chemicals
By prediction of viscosity, adhesion, durability, and many more things, products like coatings, adhesives, and composite materials can be optimized.
Food & Beverage
By modeling sensory outcomes, texture, and stability, the formulation cycles can be significantly accelerated.
Consumer Products
By designing cosmetics, detergents, and home-care products, the products can be made to perform well, be of the right cost, sustainable, and meet the regulatory requirements simultaneously.
Energy & Industrial
Make lubricants, fuels, cement slurries, and drilling fluids better by prediction of flow behavior and additive interactions.
Formulation AI in LabVantage Analytics brings clarity, speed, and intelligence to a process that has long relied on inefficient trial-and-error. By turning historical data into predictive insights, generating optimized recipes, and integrating data with your LIMS workflows, it empowers scientists to innovate with confidence and deliver better products, faster. For organization leaders, Formulation AI gives clearer visibility into project progress and better predictability of outcomes across the entire R&D portfolio.
Experience the Future of Predictive Formulation
If you’re ready to see formulation AI in action, join our webinar on January 21 at 4 PM CET. Sign up here.
