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Predict cost, stability, sensory, nutrition, and regulatory risk — simultaneously, before any pilot. Know what your product will do before you make it.
Most formulation failures are visible in the data, just too late. FIOS moves that visibility to day one — so product decisions are based on what will happen, not what already has.
The FIOS workflowFIOS connects the dots across the full product development lifecycle. R&D, regulatory, and commercial teams work from shared data and shared models — no handoffs, no silos.
FIOS brings seven core capabilities into a single connected workflow. Each is grounded in what global R&D teams told us they needed most.
Binder + particulates + coating. Wafer + chocolate + filling. One model.
Most real products are multi-component: a chocolate bar has chocolate, wafer, and filling — each with its own formulation, structure, and water activity. FIOS models each component and the interactions between them, optimizing the whole product simultaneously for sensory, nutrition, cost, and stability. Water migration between phases. Structural interactions. Scale-up behavior. Modeled together, not in isolation.
"When we make a chocolate bar, we make the chocolate on its own, the wafer, and the filling cream. We need to modulate each of these separately to give the whole nutritional package for the bar."
— Principal Technologist, global confectionery
Formulation decisions inform processing. Processing decisions inform formulation.
Most formulation failures happen at the handoff between R&D and manufacturing — when a recipe that worked in the lab breaks at scale. FIOS links formulation and process parameters in a single model, so extrusion settings, oven profiles, and fermentation conditions are optimized alongside ingredient choices. The result: fewer pilot failures, faster scale-up, and production runs that behave the way the bench predicted.
Active deployments reduce breakage and optimize shape consistency in extruded snacks — linking extrusion parameters to texture outcomes in a single predictive workflow.
— Snack, petcare, and bakery manufacturers
Hit your Nutri-Score target. Maintain taste. Protect margin.
Every CPG decision trades off nutrition, sensory, and cost. Reformulate for a lower sugar target and texture shifts. Swap to a cheaper ingredient and flavor profile moves. FIOS models all three dimensions together — predicting sensory outcomes from composition changes, checking nutrient profiles against Nutri-Score, HSR, and FDA Healthy criteria, and simulating ingredient substitutions with cost and performance deltas side by side.
Used to balance nutritional targets with processability, cost, and sensory quality across international Nutrient Profiling Models for global confectionery and snack portfolios.
— Multiple Fortune 500 CPG deployments
Estimate shelf-life for new SKUs without keeping samples for months.
In traditional food and beverage shelf‑life studies, samples are stored for the full intended shelf life, with testing at multiple timepoints (for example, early, mid, and end of life, and sometimes beyond) to confirm the claimed shelf life. FIOS predicts shelf-life and stability from formulation and process data, flagging higher-risk formulations for deeper testing and letting teams ship validated products faster. Water activity migration, ingredient degradation, and packaging interactions are modeled together.
Active pilots with global nutrition and supplement brands cutting time-to-market by reliably estimating shelf-life of new SKUs, avoiding real-time confirmation where possible.
— Nutrition, supplements, and dairy
Nutri-Score, HSR, FDA Healthy, EFSA health claims — modeled, not guessed.
Regulatory surprise is one of the most expensive failure modes in CPG — a product that clears R&D but fails a regional nutrient profiling model means months of rework. FIOS flags regulatory risk early, checks formulations against market-specific rules, and generates structured regulatory dossiers. The Digital Regulatory Dossier supports EFSA health claim submissions today, with FDA GRAS and food additive petition structures on roadmap.
EFSA-structured health claim dossiers shipping today. FDA GRAS and food additive petition dossiers on roadmap with pilot pet-nutrition partners.
— Pet nutrition and human nutrition deployments
Proprietary recipes, supplier TDS, production runs. Plus public data when it helps.
FIOS ingests your proprietary data in the formats you already have: recipes in Word, PDF, or Excel; supplier technical data sheets; raw material shelf-life records; manufacturing process logs. It can integrate with your PLM systems of choice. Your data stays yours. Public data and PIPA's curated knowledge bases extend what your team can reason over — used together when that adds value, kept separate when it shouldn't.
Deployed inside enterprise environments at global CPG and ingredient companies — ingesting proprietary recipe databases, material masters, and regulatory constraints alongside PIPA's scientific knowledge graph.
— Proprietary recipe and PLM integration
Permissions, project isolation, audit trails, live dashboards.
FIOS is designed for enterprise R&D environments: role-based access control, project-level permissions, cross-functional workspaces, and live dashboards for multiple tiers of users. Every formulation, experiment, and result is versioned. Teams can compare iterations, track changes, and roll back. One source of truth, from bench through manufacturing — visible to everyone who needs to see it.
Required and deployed by global enterprise R&D teams where R&D, regulatory, and manufacturing span continents and need shared visibility without duplicating work.
— Multi-site, multi-region R&D organizations
Most AI-for-food platforms are pure machine learning. Most simulation platforms are pure physics. FIOS combines four modeling approaches into a single prediction — which is why it works where either alone falls short.
Pattern recognition across millions of recipes and scientific papers. Learns what works from data humans can't hold in their heads at once.
First-principles simulation of extrusion, baking, and fermentation — heat transfer, mass transfer, phase change, chemical reaction, all coupled.
Reaction kinetics, degradation pathways, and omics-level ingredient data. The chemistry a formulation will actually do — not just what ingredients go in.
Continuously calibrated against real manufacturing runs. Each production batch improves the next prediction.
Off-the-shelf CAE tools don't handle food processes well — too much coupled physics, too much chemistry. So we build them from first principles, calibrated to real production data.
Predicts texture, expansion, and density. Optimizes screw configuration and thermal zones before committing to a run.
Maps moisture migration and Maillard browning. Ensures uniform structure at scale across oven configurations.
Models biomass growth and metabolite production. Optimizes yield and batch consistency across fermentation conditions.
Heat and mass transfer for spray, drum, and belt drying.
FIOS is in active deployment with global CPG teams across snacks, dairy, nutraceuticals, and supplements. Here’s what “faster, cheaper, better” looks like in numbers.
Security, deployment, and integration are not afterthoughts. FIOS operates today inside enterprise environments at some of the world’s most demanding CPG companies — clearing the procurement bars that come with them.