Partner Projects

Partner Projects

Speed up research with Artificial Intelligence

We leverage our technology and scientific expertise to enable disruptive decision-making for our partners

We accelerate research with Artificial Intelligence, leveraging our technology and scientific expertise to enable disruptive decision-making for our valued partners

AI at the heart of Life Science R&D

We combine our enterprise cloud applications with the expertise of our scientific teams to bring unmatched speed, accuracy, and scale across the business pipeline; from discovery to formulation and manufacturing optimization we turn conventionally costly and high-risk R&D programs to streamlined innovation engines.

Nutrition & Food Science

Oral Health Bioactives discovery

Leveraged LEAP™ to identify novel bioactive compounds in food ingredients that could potentially promote oral health through microbiota or host interactions.

Healthy aging bioactives

LEAP™ and in-house pipelines were used to recommend novel, plant-derived bioactives with senolytic/senomorphic activity for experimental validation and eventually for use in longevity-targeted foods.

Seafood flavor optimization

We combined proprietary AI and bioinformatics pipelines with LEAP to determine the optimal feed composition and aquaculture control parameters needed to improve the taste of shrimp.

Dairy knowledge SaaS tool

Could dairy be the prime supplier of bioactives for health benefits? PIPA and partners collaborated to answer this by developing the first dairy AI platform, powered by LEAP, which seamlessly integrated public and proprietary dairy data to uncover the relationships between dairy molecules and consumer health outcomes. Through the AI platform, our partner is advancing dairy innovation including accelerated research and discovery of molecules, new product development and reformulation and evidence synthesis to support product claims.

Diet recommendation

Predict diet interventions to reach a desired profile based on personalized information, microbiome and disease score analysis.

Ingredients Case Studies

Unlocking Ingredient Potential: Using LEAP™ to validate, characterize, and discover health benefits and flavor predictions for upcycled ingredients, informing future applications and nutritional claims
Health-promoting bioactives in upcycled ingredient

Using LEAP™ we validated and characterized, in silico, compounds in an upcycled ingredient with potential benefit for gut health. Promising potential Mechanisms of Actions were also recommended. The insights will inform future applications for the underutilized ingredient.

Health-promoting plant-based molecules

Uncovered the potential health effects of an upcycled ingredient’s polyphenolic and peptidomic content. Using LEAP™ we identified novel health benefits for its molecules and identified scientific evidence for its impact on human health. The insights will inform the nutritional and health claims of the product.

Flavor prediction

We predicted flavor from molecular analysis and application machine learning techniques. We created virtual sensory panels to produce sensory profiles without experimentation.

Consumer Health & Petcare

Disease predictors

Create onset of disease predictors from large scale biobank data, including Chronic Kidney Disease (CKD), Diabetes Mellitus and Arthritis.

Clinical trial de-risking

For a given indication and disease setting, focus on the cohort population and clinical trial design to maximize chances of success.

Multi-omics integration

Identify the Mechanism of Action and key contributors of health and disease states by integrating metabolome, microbiome and host transcriptome data.

Agriculture Case Studies

Smart farm

Predicting the optimal irrigation and pesticide schedule based on historical data.

Molecular breeding

Optimize yield and other traits by optimal breeding analysis through bioinformatics and ML predictors.

Food safety

Isolate analysis and genome assembly annotation of samples from food manufacturing centers to detect foodborne pathogens.

F&B Manufacturing Optimization

Enhancing F&B Manufacturing: Leveraging AI for snack manufacturing, fermentation control, supply chain optimization, and case fill rate predictions to improve efficiency and quality.
Snack manufacturing process optimization

Applied AI to streamline the food processing model while maintaining high quality standards on the sensory profile of the stuffed snack, including: texture, taste and nutritional value.

AI-driven fermentation

Controlling industrial fermentation through molecular composition analysis and optimal experimental design by applying AI techniques.

Optimal manufacturing

Anomaly prediction in industrial supply chain and adaptive process parameter tuning.

Case fill rate prediction

Optimal inventory management, risk prediction and recommendations for improvement across factories and distribution centers.

Business & Process Optimization

Optimizing Business Processes: From retail merchandising and financial forecasting to copy effectiveness analysis, we empower clients with data-driven solutions for impactful decision-making.
Retail merchandising

Built a KPI compliance prediction and recommendation engine that empowers our CPG client to confidently prioritize KPIs with the biggest impact on sales.

Financial forecasting

Predicted the daily business position, end of period, and net sales estimates based on time-series and real-time data for several countries and business segments for a multinational conglomerate.

Copy effectiveness

Analysis of copy data, including neurosensory and customer feedback. Recommendation system and optimal placement based on geographic location and market.

Let’s advance scientific discovery together

Get in touch to learn more about our AI driven case studies and partner projects and explore how we can unlock repeatable innovation for your business.

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