Engineering trust, connected.

RAMSynapse is a connected RAMS engineering platform: reliability, availability, maintainability, and safety analyses that share one product model instead of living in separate files. Twelve modules are planned across the reliability, safety, maintainability, and in-service domains; eight are built today. When a failure rate, a function, or a BOM item changes, every analysis that references it sees the change.

A server environment inside your own infrastructure, RAMSynapse is installed on premise and operated by your organisation. Engineers connect through the browser; there is no per-seat desktop installation to roll out or patch.

All modules work against a shared product structure. Reliability targets set in Allocation sit next to the values Prediction computes, so compliance is visible without a spreadsheet. Predicted failure rates are referenced: not retyped, by RBD, FMECA, and Fault Tree. Change a component, and the analyses that depend on it are flagged for review rather than silently going stale.

Most teams start with a single pilot product: import or build the product structure, run Allocation and Prediction on it, then extend into FMECA or Fault Tree where the programme requires them. RAMSynapse is pre-launch, so the practical first step is to request a walkthrough through the contact page, and bring a real product structure to it.

As an on-premise installation. The platform runs on servers your organisation controls, in your data centre or on virtual machines inside your network, and is administered under your own IT and security practices. It is built for on-premise operation, not as a hosted service.

No. Product structures, failure data, and analysis results stay on the infrastructure you operate. The platform does not depend on an external cloud service to perform analyses, and nothing is transmitted outside your network as part of normal operation.

RAMSynapse is designed for on-premise operation, including restricted and disconnected networks, a common requirement in defence and other regulated programmes. If your environment has specific constraints around installation media, licence activation, or update procedures, raise them through the contact page so they can be answered against your actual setup rather than in the abstract.

A current web browser. Clients are browser-based, so there is no per-seat software to install, and access is governed by the accounts your administrators create.

Your organisation does, the same way you operate other internal engineering systems. Because the platform lives inside your infrastructure, backup, monitoring, and network policy follow the practices you already have.

Per organisation, under a customer agreement, not per download or through a public store. The agreement defines what your organisation is entitled to run; your administrators then decide who inside the organisation gets access.

By your own administrators, inside the platform. Admins create accounts, assign access tiers, and adjust them as teams and programmes change, no vendor involvement is needed for day-to-day user management.

Pricing is agreed per organisation as part of the customer agreement; there is no public price list. The honest way to get a number is to describe your organisation and intended use through the contact page.

Yes. RAMSynapse is pre-launch and there are no public downloads, so evaluation happens as a guided walkthrough, request one via the contact page and, ideally, bring a real product and a real analysis question to it.

Yes: the platform is open by design and exposes REST APIs. Anything your team needs to automate, from pushing product data in to pulling analysis results out, is done against documented endpoints rather than by scripting the database.

Yes. Product structures and BOMs can be brought in from ERP and PLM systems through the REST interface, so analyses are built on the same structure engineering releases, not on a copy that drifts.

Through ReqIF-capable requirements tools. Reliability and safety requirements exchanged via ReqIF can be linked to the analyses that demonstrate them, keeping each requirement and its evidence connected.

Yes. Component libraries carry the part data that Prediction and Derating consume (failure rate models, ratings, and reuse across projects), so the same part is not re-characterised for every new analysis.

The registry is the platform's record of connected external sources: which ERP, PLM, or requirements system supplies which data. Live data links keep imported items traceable to their origin: when the source changes, the linked items can be re-synchronised deliberately instead of being re-imported and reconciled by hand.

Eight modules are built today: Allocation, Prediction, RBD, FMECA, Testability, Fault Tree, FHA, and Derating. Together they cover reliability target-setting, prediction, availability modelling, and the core safety analyses.

Five further modules: Maintainability, MTA, LORA, FRACAS, and Weibull, extending the platform into maintainability engineering and in-service data. They are in development; no release dates are published, and the order is shaped partly by what early customers need first.

Through the shared product model. Targets from Allocation sit beside the values Prediction computes; predicted failure rates feed RBD, FMECA, and Fault Tree without re-entry; Derating draws on the same components and stress data as Prediction. When an input changes, dependent analyses are flagged so nothing goes quietly stale.

No. The modules share one model but do not require each other to be useful, a team can run Allocation and Prediction alone, then add safety or testability analyses when the programme calls for them.

Yes. Analyses can be exported as reports for reviews and deliverables, and the underlying data is available in open formats and over the REST API. Your data is not locked in a proprietary silo.