Rocavo / Software engineering
Connect devices, guide operators, run tests, and turn measurements into useful results. Software engineering for instruments, machines, hardware products, and the workflows around them.
The Rocavo AI Engine ↗In development to connect requirements, design and verification.
01 / Engineering capabilities
An engagement can improve an existing application, connect a device to your workflow, or develop the software for a new system. Desktop applications, browser interfaces, APIs, and cloud connectivity are scoped around your equipment, environment, and users.
Coordinate instruments and sensors, manage acquisition sequences, and retain the context needed to interpret measurements. Define timing, data formats, and behavior when a device or reading is unavailable.
Typical scope outputsDevice interfaces · Acquisition workflows · Structured measurement data
Turn an agreed test procedure into a repeatable workflow. Define parameters, sequence the equipment, check results against acceptance criteria, and make each run traceable.
Typical scope outputsTest sequences · Result checks · Logs and reports
Give operators and engineers a clear way to configure equipment, start work, view status, and investigate results. Fit the application to its actual users and deployment environment.
Typical scope outputsUser workflows · Application interfaces · Configuration and installation
Connect equipment, applications, and data services through defined interfaces. Local or cloud connections can support job instructions, run results, monitoring, and integration with existing tools.
Typical scope outputsAPIs and adapters · Message and data definitions · Access and error behavior
Develop reproducible calculations and analysis workflows for engineering measurements. Specify assumptions, process data, calculate agreed metrics, and present results that can be checked.
Typical scope outputsAnalysis code · Reference-case checks · Plots and result exports
Develop models, simulated device interfaces, and utilities to explore system behavior or automate engineering work. State the model’s assumptions and distinguish simulated results from physical verification.
Typical scope outputsModels and scenarios · Development utilities · Documented limits
Develop processing workflows for sampled signals or images, from filtering and calibration to feature extraction and result interpretation. Define representative input data and acceptance checks before choosing the method.
Typical scope outputsProcessing pipeline · Reference datasets · Evaluation results and limits
02 / Ways to put it to work
These example requests show how a project can begin. They describe possible scopes, not completed customer projects.
Replace manual instrument settings and spreadsheet entry with a defined test sequence, result checks, and an exportable report.
Let technicians select a recipe, follow progress, review faults, and retrieve past runs through a desktop or browser interface.
Turn raw measurements or images into a repeatable analysis workflow, with documented assumptions, reference-case checks and results your team can explore and export.
03 / The Rocavo AI Engine
The Rocavo AI Engine is our internal engineering platform, currently in development. We’re building it to connect requirements, implementation, and verification across software, mechanical, electrical, and controls engineering. Customers engage Rocavo for defined engineering work or system delivery.
Connect user workflows, device constraints, and performance requirements to the structure of the software.
Consider device behavior, mechanical operation, and electrical interfaces alongside application logic.
Trace the effects of a changed requirement into the implementation and the checks needed to review it.
The Engine is Rocavo’s internal platform, in active development. Your engagement has an agreed scope, engineering review points, deliverables and acceptance criteria.
Explore the approach ↗04 / The handoff
We define the deliverables around the work you need. A focused assignment may use only part of this package; a larger engagement can connect it to the other disciplines.
Agreed workflows, component boundaries, data formats, and system interfaces.
Source, dependencies, configuration, and builds for the agreed deployment environment.
Test cases, reference inputs, and recorded results for the agreed software and integration checks.
Installation, configuration, operating instructions, known limitations, and maintenance notes.
We agree file formats, source access, review stages, schedule and acceptance before work starts. Procurement, physical builds, commissioning, specialist reviews and ongoing support are identified separately where needed.
Before you begin
Yes. Share the application’s purpose, source access where available, interfaces, and the issue or feature you need addressed. The first scope can be a review, a defined improvement, or a larger integration effort.
Source delivery, build instructions, dependencies, and usage rights are defined in the engagement. We agree the package your team needs to maintain or extend the work after handoff.
We agree test cases and acceptance criteria. Checks can use reference datasets, simulated interfaces, and actual devices. The plan identifies which results require physical hardware and who provides it.
A focused task or a larger system
Tell us what the software needs to do, which devices or applications it must connect to, and what already exists. Include the target environment and an example input, workflow, or expected result.
Discuss your project