Algorithms, signal processing, and ML, built for production.
RalphNex builds algorithms, signal processing, and ML for production from €20k. We prove the approach in 1 to 2 weeks, then ship validated code that plugs into your stack.
- Price
- From €20k, priced per phase
- Timeline
- ~1 month, proof of concept first
- Areas
- Signals, vision, ML, and IoT
- Handoff
- Specs and validation reports
This is for you if
- The hardest part of your product is the math.
- Your signal or model works in the lab but drifts in the field.
- You want proof before committing the full budget.
What the work can include
Algorithm development
Signal processing and numerical methods.
Data pipelines
ETL, streaming, and batch, built to scale.
ML and inference
Model integration and edge inference.
Hardware integration
IoT protocols and sensor data.
Validation and testing
Statistical validation, not just passing tests.
Technical documentation
Specs, reports, and integration guides.
From first call to launch
- 01
30-minute call
Walk us through the problem and the data you have.
- 02
Proof of concept, 1 to 2 weeks
Priced on its own, with working results before the bulk of the budget.
- 03
Build and validate
Production code, tested against real behavior.
- 04
Integrate and document
Plugged into your system and fully documented.
Work we have shipped
Industrial velocity drift: solved. Industrial spray-paint velocity and painting-state detection for layer-thickness analytics.
Questions about deep-tech engineering
What counts as deep-tech engineering?
Problems where the core challenge is the math: signal processing, computer vision, ML, industrial IoT, and custom algorithms.
How much does deep-tech engineering cost?
From €20,000, typically around 1 month. The 1 to 2 week proof of concept is priced first, and the build is fixed in writing once the approach is proven.
How do you validate technical solutions?
A proof of concept first, then unit tests, integration tests, and statistical validation.
Can you work with our existing codebase?
Yes. We find the bottleneck and build a solution that plugs in cleanly.
What industries do you work with?
Across all our engineering work: industrial manufacturing (ProxControl), construction software (Morta), voice AI (Automaticall), and AI developer tools (Pushary). ProxControl is our deep-tech case study.
Have something in mind?
Bring us the problem your team is stuck on.
Book a 30-minute call. We will tell you honestly how we would approach it.