At Intelimek, we are transforming pharmaceutical manufacturing by offering a complete Software-as-a-Service (SaaS) solution that integrates advanced Digital Twin technology with comprehensive support services. Our offering isn’t just a digital twin platform—it’s a full-service web application that performs high-fidelity simulations, AI/ML model training, and process optimization across critical unit operations such as blending, granulation,film coating, drying, direct compaction. By combining state-of-the-art simulation techniques (FEA, DEM, CFD) with AI, cloud-based processing and expert services, we help you enhance process efficiency, reduce waste, and ensure the highest product quality.
Our Digital Twin serves as a dynamic, virtual replica of your
manufacturing
processes.
It continuously
integrates real-time production data, laboratory results, historical insights
and physics-based
process
models to deliver actionable intelligence.
Ensure uniform mixing, coating, and granulation for superior quality and reduced variability.
Lower material, energy, and operational costs with AI-driven process optimization.
Accelerate R&D to production with fewer trials and reduced scale-up risks.
Meet FDA and EMA standards to build regulatory trust and ensure product quality.
Enable easy adoption, standardize best practices, and empower teams with consistent, scalable technology.
Intelimek combines deep domain expertise in
pharmaceutical manufacturing with advanced AI-driven process optimization. Our solutions are
purpose-built to tackle industry challenges—ensuring consistent quality, reducing costs, and
accelerating scale-up.
With years of experience delivering scalable, compliant, and
production-ready systems, Intelimek empowers pharma companies to adopt smart manufacturing with
confidence. We simplify complex technologies, enabling teams to work more efficiently, achieve
regulatory compliance, and unlock sustainable value across the enterprise.
| Industry Challenges | Intelimek Solutions |
|---|---|
Data Integration ComplexityMerging real-time production, sensor, and historical batch data is difficult and time-consuming |
Unified Data PipelineOur SaaS platform aggregates, cleanses, and visualizes multi-source data for real-time process insights. |
Model Calibration NeedsAccurate modeling of blending, granulation, and coating demands precise calibration and validation. |
Robust Model CalibrationML-driven experiments and advanced techniques ensure reliable, physics-aligned, customized process models. |
High Computational DemandDetailed simulations like DEM and CFD require significant computing resources and expertise. |
Scalable Cloud SimulationsCloud HPC and AI-based surrogate models deliver fast, scalable simulations—no local infrastructure needed. |
Specialized Expertise RequiredAdvanced modeling tools can be hard to adopt without specialized knowledge or training. |
User-Friendly Platform & TrainingGuided workflows and expert-led programs empower teams to leverage AI, DEM, and CFD models. |
Regulatory & Cost BarriersHigh costs and regulatory challenges slow digital adoption in pharma manufacturing. |
Compliance-Ready SaaS SolutionFDA/EMA-compliant frameworks ensure smooth, cost-effective adoption with strong ROI. |
Merging real-time production, sensor, and historical batch data is difficult and time-consuming
Accurate modeling of blending, granulation, and coating demands precise calibration and validation.
Detailed simulations like DEM and CFD require significant computing resources and expertise.
Advanced modeling tools can be hard to adopt without specialized knowledge or training.
High costs and regulatory challenges slow digital adoption in pharma manufacturing.
Our SaaS platform aggregates, cleanses, and visualizes multi-source data for real-time process insights.
ML-driven experiments and advanced techniques ensure reliable, physics-aligned, customized process models.
Cloud HPC and AI-based surrogate models deliver fast, scalable simulations—no local infrastructure needed.
Guided workflows and expert-led programs empower teams to leverage AI, DEM, and CFD models.
FDA/EMA-compliant frameworks ensure smooth, cost-effective adoption with strong ROI.
Our solution is designed to integrate seamlessly into your manufacturing operations through a three-step approach:
We calibrate material properties using advanced techniques (e.g., rotating drum with machine vision) tailored for your specific processes.
Our service analyzes key parameters—such as particle size distributions for blending and spray dynamics for coating—to build robust simulation models.
Automation of Solvers: We automate the process modeling strategy within the solver by tuning the models for the operating range of the parameters
Deployment as Web Apps: Automated process models are deployed as Web Apps including simulation data management and post processing.
Machine Learning Models: Generation of insights from simulation tales time due to computational time. We develop Reliable AI models from simulations data for quick predictions
Insights from Various Data Sources: We leverage the data from simulations, experiments, actual process parameters and sensors data to develop comprehensive machine learning models
Our web application connects directly with manufacturing sensors, providing real-time monitoring and control across all unit operations.
AI-based recommendations enable batch-to-batch adjustments, ensuring consistent quality.
The Digital Twin continuously updates with live production data, driving long-term process optimization as part of our ongoing service support.
Contact us today to discover how our all-in-one SaaS solution can propel your operations into the future.
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