Developing a lower-carbon, bio-based sealant
Follow a sealant team as it builds on a retired formulator's 2019 work: Ask Bodie, Objective Search, a designed experiment, model suggestions and the gate into scale-up. Fourteen steps, about four minutes.
What the tour shows
The tour follows one sealant from six targets to the gate into plant scale-up. Each step is a real platform screen filled with example data.
- A project spec with six targets: bio-based content, carbon footprint, peel adhesion to fiber cement, elongation, lap shear and tack-free time.
- Ask Bodie, Uncountable's AI Agent, which finds past formulations that meet two thresholds and shows who created each one.
- Objective Search, which ranks 22 past formulations by how close they come to the new spec, with each goal marked pass or miss.
- A 2019 formulation from a formulator who has retired, still credited to her and complete with its recipe and measurements.
- Advanced Screening from that formulation: three ingredients, two levels and three center points, 11 runs.
- Round 1 results ranked against the spec, with two runs meeting all six targets.
- Model suggestions for the next six runs, and a surface plot of what drives peel adhesion.
- The project in the portfolio, its Project Summary, and the recorded approvals for the gate from Pilot to Plant Scaleup.
About the example data
The project, the team and the ingredients are invented, and the chemistry is generic. The numbers stay consistent across all fourteen steps, so you can follow one sealant from the 2019 formulation to the gate.
The screens show the platform set up the way a sealant team might configure it. Each team configures its own fields, specs, workflow phases and data pipelines, so your version would follow your methods and test standards.













