What We Build
Systems that learn from your data.
Machine learning finds patterns in data that rule-based software can't express; deep learning extends that to images, language and complex signals using neural networks. We design, train and deploy both — matched to your problem, not the other way around.
Our Offerings
ML and DL capabilities we deliver.
Eight problem families we solve with learning systems.
Image Classification
Deep-learning categorization of photos, documents and visual assets — trained to your labels and accuracy targets.
Face Detection
Biometric identification and emotion tracking for security, attendance and experience applications.
Object Detection & Tracking
Bounding boxes, motion vectors and pixel-level segmentation — including drone and aerial imagery.
Text Classification
Automatic routing of documents, emails and support tickets to the right queue in milliseconds.
Summarization & Q&A
Long documents condensed to their point, and precise answers extracted from reference material.
Sentiment Analysis
Real-time monitoring of customer emotion across reviews, tickets and social channels.
Forecasting
Demand, revenue and risk forecasting with trend, seasonality and anomaly detection.
Big Data Pipelines
Spark and Kafka streaming architectures that feed models with fresh data at scale.
Our Approach
From dataset to deployed model.
Problem Framing
Define the prediction, the metric and the payoff.
Data Engineering
Collect, clean and label the training data.
Model Development
Train and tune candidate models — classical ML to deep networks.
Evaluation
Validate against held-out data and business thresholds.
Deployment
Serve models in production with monitoring.
Retraining
Feed outcomes back so accuracy holds as data drifts.
Why PineApps
Why build ML with us?
Right-Sized Models
Classical ML when it wins, deep learning when it's needed — never complexity for its own sake.
Production Discipline
Versioned data, reproducible training and monitored serving, not notebook experiments.
Proven In Our Products
Our own offline AI retrains its models daily on live market data — on a Raspberry Pi.
Transparent Accuracy
You see evaluation results before deployment, and drift reports after.
Technologies
Technologies we use.
Frameworks
Data & Streaming
Languages
Have a learning problem to solve?
Tell us about your project and get an honest assessment, a clear roadmap and a free quote — within one business day.