In October 2026, Capot took a further step in bringing artificial intelligence together with chemical research and development by launching its independently developed ifBridge™ AI-assisted R&D platform, which supports synthetic route design, process screening, cost evaluation and commercial feasibility analysis.
ifBridge™ is not positioned to replace chemists. It helps researchers widen their route options, compare alternatives and identify potential risks earlier in a project. Final R&D decisions are still made by professionals who combine literature, experimental data, process experience and safety assessment.
More efficient R&D decisions, starting with route design
Traditional chemical process development usually relies on specialist databases, public literature and the experience researchers have accumulated over many years to search routes for a target molecule, analyse feasibility and run experimental verification. For structurally complex targets, or compounds with little published synthesis information, this process often takes a long time.
ifBridge™ combines AI-assisted retrosynthetic analysis with the process knowledge Capot has built up over time. It can compare known routes and propose potential alternative paths for target compounds that have no published synthetic precedent, for researchers to shortlist and verify.
Its value lies not in automatically producing a single answer, but in expanding the range of routes that can be evaluated and improving the efficiency of early screening.
Assessing technical feasibility and commercial factors together
For custom synthesis and process development projects, whether a route "can be made" is only the first step. Raw material cost, yield, number of steps, reagent and solvent consumption, process complexity and the conditions required for subsequent scale-up all affect whether a route is ultimately commercially viable.
ifBridge™ helps integrate these factors and carry out preliminary economic comparisons between routes, giving R&D teams a reference for identifying potential cost risks and commercial barriers. As experimental and project data accumulate, the analysis can continue to support process optimisation and project evaluation.
Moving intellectual property and process safety upstream
ifBridge™ also brings intellectual property risk and process safety factors into the early assessment of a route.
On intellectual property, the platform helps identify potential patent risks in published routes and provides information support for exploring different technical paths. On process safety, it helps screen high-risk reagents, reaction conditions and safety issues that may arise during scale-up.
All related analyses are supporting information for R&D decisions and still require confirmation by professionals through patent review, experimental verification and process safety assessment.
Four core capabilities that serve the professional judgement of chemists
ifBridge™ currently focuses on four areas of R&D support:
- Route design and screening: widening potential synthetic paths and comparing the technical feasibility of different routes.
- Cost and commercial assessment: preliminary economic analysis combining raw materials, yield, process complexity and other factors.
- Supporting IP and process safety assessment: helping identify potential patent and scale-up risks early.
- R&D knowledge accumulation and decision support: continually strengthening the R&D knowledge base with historical process experience and new experimental data.
AI expands the possibilities; chemists complete the verification and engineering
The core idea behind ifBridge™ is AI working together with chemists.
AI can help widen potential routes and speed up the organisation of information and the screening of options. Chemists rely on professional judgement, experimental verification and process engineering experience to decide which routes are genuinely feasible, and to turn them into manufacturing processes that can be scaled up and repeated.
ifBridge™ is therefore not a standalone software tool outside the R&D system, but part of Capot's process development capability.
From molecules to manufacturing, with data supporting better process decisions
The development and application of ifBridge™ is an important step in Capot's move towards digitalised R&D and a structured knowledge system.
By combining AI-assisted route design, cost evaluation, intellectual property risk identification and process safety analysis with hands-on process development experience, Capot aims to make more complete technical judgements earlier in a project and further improve the connection between route design, experimental verification, process optimisation and commercial manufacturing.
From Molecules to Manufacturing — Now Empowered by AI.
From molecules to manufacturing, with artificial intelligence supporting better chemical decisions.