Fastformulator Inc
Chemical Manufacturing
1951 Nw 7th Ave
8 employees
- Employees
- 8
- Contacts
- 3
- Emails
- 3
- Phones
- 3
Fastformulator Inc Overview
- Headquarters
- 1951 Nw 7th Ave
- Website
- fastformulator.com
- Industry
- Chemical Manufacturing
- Employees
- 8
- NAICS
-
Chemical ManufacturingSoap, Cleaning Compound, and Toilet Preparation ManufacturingOther Chemical Product and Preparation Manufacturing
About Fastformulator Inc
Fastformulator's propriatary AI and Machine Learning models predict and optimize key product formulation performance controlling physico-chemical properties (rheology/flow curves, surface tension/interfacial tension, emulsion/suspension colloidal stability, foam volume and foam quality etc) for key formulation building block materials-surfactants, biosurfactants, polymers, biopolymers, proteins, enzymes, emulsions, suspensions. This includes formulation relevant mixtures of these materials under different formulation conditions (pH, salts, etc) These physico-chemical parameters of key formulation building block materials are key to optimized formulation design across cosmetics, laundry detergents, personal care, coatings, foods, pharma, biopharma, agro-chemicals etc. Talk to us about our product offerings: 1. AI/ML Model Software For Performance Control of Formulation Critical Materials: Design optimal emulsions (lotions, creams, makeup, mayonnaise, paints, pharma topicals), suspensions (agrochemicals), and surfactant/polymer systems (body washes, shampoos, detergents, Enhanced Oil Recovery Fluids), predicting rheology, stability, foaming, and surface activity. Choose ingredients from our extensive database or upload your own data for deeper customization. We can help further customize our models to fit your materials prior to subscription of AI model. Our AI models allow R&D to accelerate the selection of key raw materials for formulation performance and significantly reduce the extent of DOEs. 2. Custom Development of AI/ML Models Have specific physio-chemical parameters which you want to connect to performance attributes and link back to formulation and ingredient selection? Let us custom design your AI/ML predictor models for you. 3. AI/ML Enabled Lab Based Formulation and Product Design Dont have your own lab or have limited capacity in lab, no problem, let us design your cosmetic, food, agro-chemical, paint, coating etc using AI/ML and expert science
Fastformulator Inc Contact Details
- People in AeroLeads
- 4
- With contact data
- 3
- Email contacts
- 3
- 75.0% coverage
- Phone contacts
- 3
- 75.0% coverage
Fastformulator Inc Org Chart
Sample employees and titles| Name | Title | Location | Contact |
|---|---|---|---|
| Raquel Rodriguez | Voting Shareholder at Buchanan |
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| Samiul Amin | Professor of Practice at University | Miami, Florida, United States |
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Phone
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| Kaihan Krippendorff | Miami, Florida, United States |
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| John Casola | Rheology Technical Specialist | Miami, Florida, United States |
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Employees by Management Level
Individual contributor
3 profiles
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