We design, train, and deploy production-grade AI models tailored to your industry. From LLM integration and NLP pipelines to computer vision and real-time prediction engines — we turn raw data into competitive advantage.
Fine-tuning foundation models on your proprietary data for domain-specific accuracy, from healthcare diagnostics to financial forecasting.
Production-grade integration of GPT-4, Claude, Gemini, and Llama into your existing products, with prompt engineering, evaluation, and guardrails.
Object detection, image segmentation, OCR, and real-time video analytics pipelines for industrial, retail, and healthcare applications.
Named entity recognition, sentiment analysis, document classification, and multi-lingual processing at scale using transformer architectures.
Retrieval-augmented generation pipelines with Pinecone, Weaviate, and pgvector — semantic search over millions of documents with sub-100ms latency.
Model versioning, A/B testing infrastructure, drift detection, and automated retraining pipelines to keep your models accurate over time.
We audit your existing data assets, label quality, infrastructure readiness, and define success metrics and baseline benchmarks.
We select the right model architecture, evaluate open-source vs. proprietary options, and design the inference and training pipeline.
Iterative fine-tuning with human evaluation, RLHF where applicable, safety filtering, and rigorous benchmarking against industry standards.
Containerized deployment on GPU infrastructure, auto-scaling, latency optimization, and full observability with Datadog and OpenTelemetry.
Continuous drift monitoring, scheduled retraining triggers, model governance reporting, and SLA-backed uptime guarantees.
Built a streaming fraud detection engine processing 2M+ transactions/sec with 99.3% precision for a global neobank, reducing losses by 94% in 90 days.
Deployed a radiology AI assistant achieving 96.8% accuracy on chest X-ray anomaly detection across 8,000 hospitals, reducing radiologist review time by 60%.
Trained a multi-modal recommendation system that lifted conversion rate by 38% and average order value by 22% for a top-10 global retailer.
Built a reinforcement learning-based route optimizer for 140,000-vehicle fleet, reducing fuel consumption by 18% and on-time delivery rate to 97.6%.
Book a free 45-min technical session. We'll map your AI opportunity.