Consider implementation through one research task.

Amaterus AI is a RaaS (Research as a Service) platform that integrates chemistry AI to support R&D and decision-making. It connects knowledge and database creation, synthesis route exploration, reaction prediction and validation, and conceptual process design to guide how to make it. Knowledge & database creation AI：Convert internal experimental data, papers, patents, and other sources into organized knowledge that can be put to use. Synthesis route exploration AI：Multiple route exploration AIs generate diverse candidates, and consensus AI selects promising synthesis routes. Reaction prediction & validation AI：Check reaction feasibility in advance using data and quantum chemistry calculations. Conceptual process design AI：Develop a conceptual process design, including steps and reaction conditions, based on the synthesis route.

RaaS stands for Research as a Service. In Amaterus AI, you can access the knowledge, AI, and calculations needed for research as a service. Knowledge creation, exploration, validation, and conceptual design are connected in one platform, so you can apply the insights to your next experiments and candidate selection.

Multiple route exploration AIs generate diverse candidates, and consensus AI selects promising synthesis routes. The platform also connects knowledge and database creation, advance reaction validation, and conceptual design of process steps and reaction conditions.

Choose Core for synthesis route design and selection, Suite for knowledge reuse, reaction evaluation, and process design, or Enterprise for dedicated environments and internal integrations. Core and Suite are available as cloud Web apps. Suite is currently available to a limited number of companies. Core includes route generation, comparison, and decision records, up to five user databases, and basic quantum chemistry calculations, with about 5 standard users. Suite expands into advanced route design, knowledge creation, reaction evaluation, process design, and basic API and SSO capabilities, with about 20 standard users. Additional seats are available for both. Enterprise builds on Core or Suite with the capabilities, environments, and operations you need.

Suite is currently available to a limited number of companies. Contact us with the research tasks you want to address and your team size. We will discuss how you can use advanced route design, knowledge creation, reaction evaluation, and process design. We will review your data volume, compute resources, integrations, and dedicated-environment options, then discuss terms and pricing with you.

Kinerator, the reaction kinetics simulator, is standard in Suite and outside the standard Core scope. Enterprise scope is defined according to its base edition and requirements. Suite also includes process optimization and basic process simulation. Required compute resources and usage are specified in the contract, and computational findings are used alongside experimental checks.

Shorten development time：Connect knowledge organization, route exploration, reaction validation, and conceptual process design to advance R&D. Reduce R&D costs：Use accumulated knowledge and advance validation to reduce duplicated experiments and investigations. Improve decision quality：Evaluate diverse candidates using data and calculations to make evidence-based decisions. Focus research resources on promising candidates：Select promising synthesis routes and focus experiments, people, and computing resources on them.

Develop a conceptual process design, including steps and reaction conditions, based on the synthesis route.

Not without explicit permission. Permitted use, location, retention, deletion, export, and confidentiality are defined in the contract. Before evaluation, review input structures, uploaded documents, and calculation results separately: purpose, external service transfers, and access permissions. An initial inquiry does not require confidential data.

Enterprise offers dedicated cloud, your own VPC, on-premises, and other deployment options. To keep source documents and raw data inside your organization, consider Hybrid Knowledge Edge, which shares only approved knowledge data, search indexes, and metadata with the cloud. To retain internal access points and authentication, you can also connect to approved cloud services through an internal URL or gateway.

ELN, LIMS, internal database, and HPC integration is optional in Suite and custom-designed in Enterprise. Core offers optional API / external system integration, but advanced internal integration is outside its standard scope. Enterprise also covers enterprise reaction databases, Edge Knowledge / Crawler, and Hybrid Knowledge Edge. Integration scope, data boundaries, permissions, logs, and costs are defined during requirements definition and contracting.

Core starts at $31,000 per year and the standard Suite price starts at $125,000 per year. Suite is quoted individually based on your requirements. Enterprise is quoted after discussing the capabilities and configuration you need. USD reference exchange rate: US$1 = JPY 160. Prices exclude tax. Contracts are organization-based, with costs varying by users beyond the standard seats, compute, storage, data volume, external integrations, dedicated environments, and SLAs.

Yes. A paid proof of concept (PoC) lets you assess effectiveness and value using a real research task or selected data before an annual contract. Depending on the task, you can use Core-equivalent or agreed Suite capabilities for a limited period, with assistance using the service and reviewing results from TS Technology. Use the findings to consider an annual Core or Suite contract, or Enterprise where needed.

R&D teams in fine and specialty chemicals, custom synthesis, small-molecule CDMO, pharmaceutical CMC and process chemistry, and functional organic materials. Choose a representative task in knowledge and database creation, synthesis route exploration, reaction prediction and validation, or conceptual process design. Evaluate its impact on development time, costs, decision quality, and research resource allocation.