Using AI-assisted regression and generative models to identify optimal blend ratios from heterogeneous waste streams, ensuring target melt flow and mechanical integrity with minimal process changeover.
RequestPolySmart Solutions — AI‑driven sustainability
We harness artificial intelligence to design, predict, and optimize recycled polymers creating high-performance materials for a truly circular future
PolySmart Platform
A versatile, user-friendly toolkit for AI‑assisted materials design and process optimization. Build predictive models, explore reverse‑designed formulations, and deploy decision dashboards tailored to your datasets.
- Predict dozens of properties of recycled and virgin polymer blends with explainable models.
- Plan smarter experiments and screen candidates that meet target specs and constraints.
- Confidential by default: your data stays yours; NDA‑ready collaboration workflows.
About Us
PolySmart Solutions is an innovative platform founded by Oumayma Tajir, AI engineer and doctoral researcher. We help industries unlock the full potential of recycled polymers, transforming them into high-performance, sustainable materials through AI-driven design and optimization.
Our approach goes beyond research — we deliver practical, scalable solutions that bridge the gap between science and industry. By combining explainable AI, generative design, and advanced data analytics, we empower companies to reduce costs, improve performance, and accelerate their transition to the circular economy.
Our Values
Sustainability
Designing smart materials that drive a greener future.
Collaboration
Uniting academia, industry, and innovation partners.
Excellence
Ensuring accuracy, reliability, and scientific integrity.
Innovation
Applying AI to revolutionize material science and manufacturing.
Case Studies
PolySmart applies AI-driven modeling and reverse design to accelerate the development of recycled and bio-based polymers. Explore our case studies to see how advanced data analytics and experimental validation converge to deliver high-performance, sustainable materials.
Multi-objective optimization of recycled and bio-sourced polymer blends, balancing stiffness, toughness, and processing windows while integrating sustainability metrics and cost efficiency.
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Development of functional polymers with tailored dielectric, thermal, and barrier properties for next-generation energy storage and electronic packaging, validated with predictive modeling and lab-scale experiments.
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AI-Powered Predictions
Accurate melt flow and mechanical property predictions using explainable AI models.
Reverse Design Formulations
Generate optimal blends to meet cost, origin, and performance constraints.
Deployment of Solutions
From pilot projects to industry-scale deployment, we ensure practical adoption of AI workflows.
Process Optimization
Reduce material loss and energy use by tuning extrusion and manufacturing parameters with AI-driven guidance.
Digital Twins & Dashboards
Real-time KPI monitoring for materials and processes, with decision-support dashboards and alerts.
Advisory & Training
Workshops and hands-on coaching for R&D and operations teams adopting AI for materials.
Contact
- Email: oumayma.tajir@usherbrooke.ca
- LinkedIn: linkedin.com/in/oumayma-tajir