FAQ’s
Review the most commonly asked questions about our platform
TaBlitz supports formulation development by leveraging advanced predictive tools and standardized methodologies, defined in USP <1062> (Tablet Compression Characterization), to optimize powder performance and tablet design. By integrating principles from USP <1062>, TaBlitz enables users to predict critical powder properties—such as flowability, compressibility, and compactability—using small sample sizes. This reduces the need for multiple experimental cycles and minimizes material waste, which is especially valuable prior to Phase 1 when resources and API quantities are often limited.
TaBlitz’s analyzes micromeritic data with our prediction models to generate formulation suggestions that enhance tablet quality and manufacturability. For example, the software can simulate powder behavior under compression, helping formulators identify optimal excipient blends and process parameters early in development. This predictive capability streamlines decision-making, reduces trial-and-error, and supports the creation of robust, scalable formulations that align with industry standards.
To integrate TaBlitz into your formulation workflow, users can document outputs—such as predicted powder performance metrics or tablet design specifications—as part of a traceable development process
TaBlitz reduces experimental iterations by implementing mechanics from USP to analyze key powder properties—such as flowability, compressibility, and compactability—using small sample sizes. By directly applying USP methodologies, TaBlitz’s algorithms generate formulation and tablet design recommendations from these outputs, minimizing trial-and-error. This optimizes early development, conserves materials, and accelerates timelines, particularly before Phase 1. Results can be documented for traceability in your quality management system, supported by TaBlitz’s user guides and technical references to USP and TSM standards.
Yes, TaBlitz can predict formulation risks such as poor compressibility, capping, and sticking by implementing USP mechanics to analyze key powder properties, including flowability, compressibility, and compactability, from small sample sizes. Its predictive algorithms evaluate these outputs to identify potential issues early, flagging risks like inadequate powder cohesion, excessive elasticity, or adhesion tendencies that could lead to capping or sticking during tableting. By providing data-driven formulation and process recommendations, TaBlitz helps mitigate these risks before scale-up, reducing experimental iterations and material waste.
Yes, TaBlitz supports the development of various release profiles, including Immediate Release (IR), Modified Release (MR), and Orally Disintegrating Tablets (ODT). By implementing USP mechanics, TaBlitz analyzes powder properties like flowability, compressibility, and compactability to tailor formulations for specific release characteristics.
Yes, TaBlitz allows users to input preferred excipients to customize formulation development. By integrating these inputs with USP mechanics, TaBlitz analyzes the selected excipients’ powder properties—such as flowability, compressibility, and compactability—to generate tailored formulation and tablet design recommendations. This ensures compatibility with your desired release profiles (e.g., IR, MR, ODT) while optimizing for manufacturability and minimizing risks like capping or sticking.
TaBlitz’s Design Score is a core component of our AI-powered software, providing a real-time index to evaluate and optimize tablet designs based on critical metrics. It quantifies four key aspects to ensure manufacturability and patient-centric outcomes:
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Tablet Manufacturability Index: Predicts and prevents compression-related issues like capping, sticking, picking, or core erosion by analyzing powder properties and design geometry.
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Tool Manufacturability Index: Assesses the complexity of producing tooling (e.g., punches) needed for the tablet design, ensuring feasibility and cost-efficiency.
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Swallowability Index: Evaluates patient-centric factors such as tablet size, shape, thickness, weight, density, and coating, using research on solid oral dosage form (SODF) swallowability to optimize for diverse patient populations, including those with dysphagia.
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Design Feasibility Index: Gauges overall design viability, ensuring compliance with industry standards like the Tableting Specification Manual (TSM) and USP <1062> mechanics.
The Design Score is generated from user inputs during the design process, leveraging deep learning models trained on historical tablet designs, material science data, and manufacturing outcomes. When scores indicate potential issues, TaBlitz’s AI suggests real-time adjustments to optimize the design, reducing risks like poor compressibility or sticking. Outputs are presented in an easy-to-digest format, enabling rapid refinement and documentation for traceability in quality management systems.
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TaBlitz is designed with industry standards in mind, including key principles from USP and the Tableting Specification Manual (TSM), which support robust formulation and tablet design processes. While TaBlitz itself is not a GMP-regulated product, it serves as a powerful tool to assist in generating formulation suggestions and tablet designs that align with GMP principles, such as consistency, repeatability, and traceability. For example, when using TaBlitz for micromeritics or tablet design, the software applies standardized methodologies that can be documented as part of your GMP-compliant development and manufacturing processes.
To ensure TaBlitz meets your qualification and validation needs, we recommend integrating its use into your existing GMP workflows. This might include documenting how TaBlitz outputs are verified and validated as part of your quality management system. While we don’t provide specific GMP validation documentation, we can offer supporting materials, such as user guides, technical references to USP and TSM standards, and case studies from industry partners, to help demonstrate how TaBlitz fits into a GMP environment.
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