Formulating just got simpler.
In this release, we’ve focused on solving common pain points, enhancing workflows, and providing clearer guidance to help you achieve greater accuracy and efficiency.
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Sometimes mistakes happen—but they don’t have to stick.
A formulation with incorrect data gets uploaded. No biggie—until it misleads the AI, impacting the quality of recommendations for all future experiments.
With Undo & Re-train you can take control. Select the incorrect record, delete it, and the system will recalibrate instantly, using only accurate data to ensure your next experiments are on point.
No stress. Greater accuracy. Better formulations.
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No more guesswork. Get clearer guidance on constraints.
Conflicting constraints can make it difficult to find a feasible solution, leading to delays and frustration. Our new guidance messages pinpoint the issues, explain why they occur, and guide you in adjusting your constraints—helping you unlock a feasible solution and keep your progress on track.
- Cost Constraints:
Message: “Cost objectives are infeasible given the defined constraints. The minimum cost is [value].”
Example: You set a cost constraint of $0.60, but the minimum feasible cost is $0.61.
- Ingredient Constraints:
Message: “The problem is infeasible. Please adjust your constraints or bounds.”
Example: A garlic group constraint of 20% is impossible when garlic powder is limited to 15% and garlic extract to 0.7%.
- Cost Constraints:
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Enhanced History Tracking: Stay on top of your data.
How many times have you tried to see what lab test data was uploaded to the system, only to find there’s no easy way to do this? Frustrating, isn’t it?
Now, the History Tab in Execute Solutions provides a central place to see and track all lab data uploads, making it easier than ever to trace what was uploaded, when, and by whom.
You can now see the date, time, and user for each upload—and directly download the file as it was uploaded.
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Smarter uploads, because data isn’t set in stone.
Imagine setting your expected outcome boundaries, only to have a lab test yield a value outside of them—and the system doesn’t know how to handle this new data point that could be teaching us something. Now you’re stuck, unable to move forward.
Not anymore. The system is now smarter and more flexible. During data upload, it will warn you if an outcome falls outside the boundaries, letting you decide whether to proceed or adjust.
Getting stuck is no longer an option.
These changes are designed to save you time, reduce frustration, and keep your formulations on track. Let us know what you think!