Rasayan.ai RFP Automation Engine
Rasayan.ai’s RFP Automation Engine is designed to help pharmaceutical companies, CDMOs, CROs, and chemical manufacturers respond to customer Requests for Proposal faster and more efficiently.
Traditional RFP preparation can involve multiple teams manually reviewing molecule information, evaluating synthetic routes, estimating raw-material requirements, checking supplier availability, calculating costs, and coordinating inputs across R&D, sourcing, manufacturing, and commercial teams. This process can take several days or even weeks and may lead to delays, inconsistent quotations, or missed business opportunities.
The Rasayan.ai RFP Automation Engine brings these activities into a streamlined digital workflow. Users can enter the molecule or project requirement, and the platform supports the evaluation of potential synthetic routes, starting materials, reagents, intermediates, supplier options, and other relevant chemical information required for preparing the proposal.
The system helps teams quickly assess route feasibility, identify commercially available materials, compare possible approaches, and organize the information needed for costing and proposal preparation. By connecting scientific intelligence with commercial decision-making, Rasayan.ai enables Business Development, R&D, procurement, and costing teams to collaborate more effectively.
For CDMOs handling a high volume of customer enquiries, the RFP Automation Engine can significantly reduce repetitive manual work and improve response consistency. A process that traditionally may take up to three weeks can potentially be shortened to less than two days, depending on the complexity of the project and available information.
Key benefits include faster RFP turnaround, reduced manual effort, improved route evaluation, better sourcing visibility, standardized proposal workflows, and quicker go/no-go decisions.
With Rasayan.ai, RFP preparation becomes a more structured, dat
