Symrise expands Symvision AI for faster formula prediction and safer bets in NPD
Symrise has upgraded its Symvision AI platform with AI-based formula prediction tools built for flavor, beverage, and broader F&B development. For product teams, the promise is simple: fewer trial loops, clearer sensory targets, and faster moves from brief to shelf - especially for low-sugar and low-sodium launches.
The platform predicts sensory outcomes, suggests formulation adjustments, and blends machine learning with flavorist expertise. An interactive dashboard lets teams model options, see likely taste impacts, and pick the highest potential paths before committing to costly pilots.
What's new and useful for product development
- AI prediction for sensory performance (e.g., sweetness curves, taste intensity, and gaps in reduced sugar builds).
- Impact forecasting when you swap or resize ingredients, so you can course-correct early.
- Interactive design dashboard for targeted flavor development and faster decision-making.
- Recipe creation that fuses flavorist know-how with machine learning, adaptable to ingredient constraints and regulatory shifts.
- Focus on healthier profiles: low-sugar and low-sodium concepts without sacrificing taste.
"Evolving consumer expectations, sudden price shifts, and supply chain events drive the need for innovation and swift formula adjustments. Symvision AI delivers exactly that - it empowers us to innovate faster and smarter," says Leif Jago, global marketing manager for Food & Beverage at Symrise.
Predicting flavor profiles before you run pilots
Symvision AI's sensory design features provide an "interactive dashboard" that maps formulation choices to expected sensory outcomes. For reduced sugar, it models the likely sweetness profile, highlights intensity gaps, and recommends options - including symlife taste-balancing solutions - to close them.
This means fewer dead-end prototypes and a higher hit rate in sensory and consumer testing. You get clearer guidance on which levers to pull, and by how much.
Practical gains you can expect
- Shorter development cycles by front-loading insight with predictive modeling.
- Fewer physical prototypes and sensory rounds to reach a market-ready profile.
- Better risk management when ingredients become scarce or prices move.
- Scenario planning for swaps (sweeteners, masking systems, salt replacers) with forecasted impact.
- Faster commercialization with higher confidence in sensory performance.
How the workflow comes together
Symrise outlines a multi-step approach for faster, more confident formula selection:
- Ingredient selection: Screen the most promising raw materials from the Symrise portfolio.
- Prototype selection: Narrow options based on predicted sensory outcomes and feasibility.
- Sensory and consumer testing: Validate performance and refine predictive models.
- Flavoristic creation refinement: Use expert input to finalize formulas that fit market goals and constraints.
"We combine the profound expertise of our specifically trained flavorists with machine learning. This approach shortens development cycles and unlocks exciting possibilities in taste creation," says Gerhard Krammer, SVP Research & Technology at Symrise Food & Beverage.
Low-sugar and low-sodium: where this matters most
Reducing sugar and sodium without dulling taste is tough. Symvision AI helps you anticipate off-notes, sweetness curve shape, and overall balance, then points to specific adjustments - from sweetener systems and modulators to masking and balancing solutions - before you scale.
That makes it easier to hit nutrition targets while keeping the profile consumers expect.
For product teams: how to put it to work
- Use the dashboard early to set a realistic sensory target and shortlist viable routes.
- Run "what-if" ingredient scenarios to build resilience against cost and supply swings.
- Lock your validation plan: minimal but meaningful sensory and consumer checkpoints to confirm predictions.
- Document constraints (regional regs, label needs) so models suggest compliant paths from the start.
What's next
Symrise is sharing how Symvision AI spots new market opportunities and detects dish trends before they go mainstream in a dedicated webinar. If you're revising briefs for 2026 launches, the timing lines up with planning cycles.
If you want to brush up on sensory science fundamentals alongside AI methods, explore resources from the Institute of Food Technologists here. For teams building AI skills for product roles, you can browse focused programs at Complete AI Training.
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