Applied AI scientists for signals, clinical data and forecasting.
Measured before it's deployed.
Which challenge brings you here?
Acoustics, classical signal processing and machine learning. From calibrated measurements to reliable algorithms on real devices.
Audio & acoustics → For MedTech R&D teams and hospitals Medical AIClinical data, images and biosignals. Scientific rigor from research question to evaluation and integration.
Medical AI → For sales, operations and planning teams Prediction & causal analysisForecast bookings, revenue, churn and inventory. Evaluate the impact of actions through causal analysis.
Prediction & causal analysis →Three fields. One method.
Signals, clinical cohorts and demand series are all hard data. Each one needs calibration, honest validation and clear uncertainty.
- 01Measure
Start from the data as it is: the sensor, the patient records, the sales history.
- 02Validate
Agree on the measures first. Test against a baseline and current practice.
- 03Deploy
Ship to the device, the clinical workflow or the planning team, and hand it over.
- AudioNeural-network active noise control, plus models running on Android, iOS, earphones and drones.
- MedicalGeometrix reached a clinical-trial-ready MVP in a short time, running in real time on simple hardware.
- PredictionForecasts are backtested over time, and causal analysis tests which actions really change the outcome.
Try a demo: Play with sound → Prediction & what-if →
In our clients' words.
"Your collaboration, fresh insights, scientific rigor, and efficient work methods have significantly contributed to our advancements in such a short time."
"…your valuable contributions to Silentium, specifically in the fields of digital signal processing, audio, machine learning, and data science. Your expertise and vast knowledge have been instrumental in establishing our AI infrastructure."
"From understanding the business problem, through deep analysis involving complex analytics, and all the way to top-level data science, resulting in outstanding models that actually solve real-world problems."
Dr. Yochai Edlitz
Dr. Yochai Edlitz brings 20+ years of R&D leadership across defense intelligence, academic research, and enterprise AI. With a Ph.D. from the Weizmann Institute and experience leading elite IDF technology units, he founded MLAIA to bridge the gap between cutting-edge research and production-ready AI systems.
MLAIA brings three specialist practices together: audio and acoustics, medical AI, and prediction and causal analysis. Data engineering and edge deployment connect the work across domains.
We work with enterprises, startups and research teams, from defining the problem to evaluating a model and planning its deployment.
Frequently Asked Questions
What services does MLAIA provide?
MLAIA has three practices: audio and acoustics AI (signal processing, sound and vibration models, on-device AI), medical and clinical AI (clinical prediction models, validation and imaging), and forecasting and causal analysis (demand forecasting, churn and the effect of actions). Every model is measured before it is deployed.
What industries does MLAIA serve?
MLAIA works with medical device companies, hospitals and digital health teams; hearing, audio, defense and industrial sensing companies; and retail, distribution and SaaS businesses that need forecasts. Each project is adapted to the field's data, compliance and operational requirements.
Where is MLAIA located?
MLAIA is based in Yavne, Israel, and serves clients worldwide. The company provides remote and on-site consulting engagements across Israel, the United States, and Europe.
What is data science consulting?
Data science consulting means partnering with an expert team to identify AI opportunities in your business, build and deploy machine learning models, and turn raw data into actionable insights. MLAIA acts as an embedded technical partner, from problem definition through production deployment.
How can AI help my business?
AI can automate repetitive tasks, predict customer behavior, detect anomalies, personalize experiences, and optimize complex operations. MLAIA helps businesses identify high-value AI applications and implements production-ready solutions that deliver measurable ROI, not just prototypes.
Does MLAIA work with startups?
Yes. MLAIA works with companies of all sizes, from early-stage startups to large enterprises. For startups, MLAIA provides senior AI expertise without the cost of full-time hires, helping build scalable ML foundations quickly and efficiently.
What makes MLAIA different from other AI consulting firms?
MLAIA combines academic-level research with hands-on production engineering. All three practices share one method: measure the signal or data, validate honestly, then deploy. Engagements span research, evaluation and production engineering.
Can MLAIA help with audio and signal processing?
Yes. Audio and signal processing AI is one of MLAIA's core specializations. Services include acoustic event detection, voice analysis, noise reduction, speech recognition adaptation, real-time DSP pipelines, and ML models for industrial, defense, and medical audio applications.
Let's Take Your Data
from Insight to Impact
Tell us about your data challenge. MLAIA — Machine Learning & AI Approach — will design the solution.