Your Partner in Signal Processing and Machine Learning
Your team lacks expertise in signal processing or machine learning? We step in to prototype, validate, or move forward what's blocking you.
R&D Verticals
Proof of concept and feasibility studies across four domains
Speech & Voice
Clinical speech analysis, anti-spoofing, and ASR feasibility studies for early-stage validation.
Industrial
Acoustic quality control and anomaly detection prototypes for precision manufacturing.
Environmental
Urban noise monitoring and soundscape classification for smart city R&D.
Health & Safety
Acoustic biomarkers and field event detection for clinical and humanitarian applications.
What we build
Audio R&D often turns into operations work — dashboards, internal platforms, cloud backends, document AI. We keep going instead of handing off.
Signal processing & DSP
Real-time audio analysis, classification, and DSP for embedded targets — the core craft.
Audio & speech ML
Custom models, fine-tuning, and deployment for speech, sound events, and acoustic biomarkers.
ML pipelines & MLOps
Reproducible training, dataset versioning, experiment tracking, and production model deployment.
Cloud platforms & storage
Azure / OVHcloud backends, blob storage, secure APIs, role-based access — built to outlive the prototype.
AI-assisted document workflows
LLM-powered extraction, structured generation, and approval routing for paperwork-heavy operations.
Internal platforms & web tools
Custom web applications, dashboards, and operational tools for multi-stakeholder workflows.
How We Work
130-45 min
Free exploratory meeting
We discuss your technical hypothesis and R&D goals to determine if there's a fit.
2Short, focused
Pilot → Production
A deliverable-based engagement that scales from prototype to deployed system once technical risk is validated.
3Ongoing
Monthly retainer
Continued collaboration for iterative R&D and technical support.
Why Choose Us?
- EPFL PhD — Cutting-edge academic expertise in signal processing
- 15 years experience — Audio ML systems in production
- Rapid prototyping — From idea to PoC in weeks
- Pragmatic approach — Focus on measurable results
- PoC to production — We own the pipeline from research to deployed platform