How fLaiv.ai Fits Into Your Lab Workflow
fLaiv.ai sits at the beginning of your experimental process, helping you make better decisions before materials are weighed and equipment is scheduled.
Define the Direction
Input flavor or scent keywords and basic constraints. Specify any banned ingredients or cost ranges if needed.
- Enter descriptive keywords (e.g., citrus, fresh, summer)
- Optional: Set constraints like cost range or prohibited materials
- Takes less than 2 minutes to input
AI Generates Candidates
fLaiv.ai proposes 3-5 experiment-ready options with ingredient structures, ratios, and risk assessments.
- Receive structured formula candidates with ingredient lists
- Each candidate includes priority scoring and risk notes
- Visual semantic mapping shows formula positioning
You Decide
Review candidates, select which ones to test, and record your decisions. fLaiv.ai learns from your choices.
- Compare candidates side-by-side
- Select formulas worth testing or reject unsuitable ones
- Add notes on why certain candidates were chosen or rejected
Built for Real Lab Environments
fLaiv.ai is designed with practical lab needs in mind
Data-Driven Insights
Visual charts and scoring help you understand the trade-offs between different formula candidates.
Risk Assessment
Each candidate includes stability risk notes and cost sensitivity indicators to inform your decisions.
Seamless Integration
Works before your existing workflow begins—no changes to equipment, processes, or team structure required.
What Makes fLaiv.ai Different
Traditional Approach
- • Relies solely on expert experience
- • Trial and error with high failure rates
- • No structured decision support
- • Difficult to scale or standardize
fLaiv.ai Approach
- • Combines AI with expert judgment
- • Reduces first-round failures by 30-50%
- • Structured, data-driven recommendations
- • Scalable across teams and projects
"We don't replace experts—we give them a better starting point."