Strain2DataBimefy is a construction site intelligence platform. It connects BIM, construction planning, cameras, reality capture and site data so teams can compare what was planned with what is actually happening on site.
Different data sources describe different aspects of a construction project. BIM says what was designed. The programme says what should happen and when. Reality capture shows what has been built. Sensors describe something none of those cover: what the physical construction environment is actually experiencing.
Strain2Data works with sensor systems used on construction and infrastructure projects. The Bimefy integration gives that data somewhere to land: measurements are submitted into a specific Bimefy project through a scoped partner token issued from the project's integration settings.
The submission endpoint is built for unattended pipelines. Batches can be retried safely, because a repeated submission is recognised rather than recorded twice, which matters when readings arrive continuously from equipment on a live site.
Once stored, measurements sit in project context rather than in an isolated monitoring tool. Bimefy is not a structural analysis product and does not interpret readings; it holds them alongside the model, the programme and the captured site so they can be read together.
What connecting sensor data to Bimefy gives a project team.
Sensor measurements are submitted to a specific Bimefy project through the integration API.
Submissions can carry an idempotency key, so a retried batch is recognised as a repeat instead of being stored twice.
Measurements are held against the project they belong to, not in a separate monitoring silo.
Readings accumulate over time, so the record covers the build rather than only the present moment.
Requests made with the integration token are logged, so submissions can be traced.
A scoped token and an endpoint built for continuous data.
A project administrator creates a partner token scoped to sensor submission for that project.
Readings are posted to the Bimefy integration API, in batches, with retries handled safely.
Measurements are recorded against the Bimefy project they were submitted to.
The data sits with the model, the programme and the captured site instead of in a separate tool.
Why sensor data is more useful in project context.
Readings stop being a separate dashboard and become part of the same project record as the model and the site.
When something changes in the data, the captures and the programme for that date are in the same place.
Engineers, project managers and site teams work from the same project rather than exchanging exports.
Measurements accumulate across the build, so later questions can be answered from the record.
Sensor data is precise but narrow. A reading on its own tells you a value; it does not tell you what was being built nearby that week, or what the model says should be there.
Bimefy supplies that surrounding context. The model, the programme and the captured site are already in the project, so measurements arrive somewhere they can be interpreted.
Strain2Data continues to own the sensing. Bimefy provides the project context and the shared record around it.
Roles that get the most out of this integration.
Other systems Bimefy connects with
Connect your own cameras, capture pipelines and sensor systems to Bimefy with scoped API tokens.
View integrationLet approved AI assistants read project data through the Model Context Protocol, with access scoped by token.
View integrationBring drone site captures into the project so repeated flights build a visual record over time.
View integrationSee how Bimefy can connect your existing construction systems and turn site data into project intelligence.
Trusted by innovation driven companies