Build intelligent features powered by LLMs, computer vision, and predictive analytics. Unlock new revenue streams and customer experiences.
From chatbots to computer vision, from predictive models to generative AI — we build AI features that drive real business value. Not hype. Not experiments. Production-ready AI.
ChatGPT integration, RAG systems, agent frameworks. Build conversational AI that understands your business context.
Object detection, image classification, document OCR, quality assurance automation. See what your data is showing you.
Demand forecasting, churn prediction, anomaly detection. Anticipate what happens next and act before it does.
Personalized product suggestions, content discovery, dynamic pricing. Increase engagement and revenue simultaneously.
Sentiment analysis, topic modeling, automated summarization. Extract insights from unstructured text at scale.
Custom model training, transfer learning, model optimization. Build models tailored to your specific data.
OpenAI, Anthropic, open-source models. Fine-tune for your domain, engineer prompts for consistency.
Connect LLMs to your data. Build knowledge bases, semantic search, context-aware Q&A systems.
TensorFlow, PyTorch, scikit-learn. End-to-end training, validation, hyperparameter tuning, deployment.
YOLO, ResNet, custom architectures. Real-time inference, batch processing, edge deployment.
Transform raw data into ML-ready datasets. Handle missing values, scaling, encoding, dimensionality reduction.
Cross-validation, A/B testing, drift detection. Ensure models stay accurate in production.
Understand your business problem. Define metrics for success. Avoid AI for AI's sake.
Gather, clean, and label data. Feature engineering and exploratory analysis.
Train, validate, and iterate. Test multiple approaches, select the best.
API integration, monitoring, retraining pipelines. AI that improves over time.
Challenge: A healthcare company needed to reduce diagnostic time and improve accuracy. Radiologists were overworked and error-prone.
Solution: We trained a custom computer vision model on 50k+ medical images. Built a Flask API for real-time inference, integrated with their PACS system, created confidence scoring and flagging for uncertain cases.
Result: 40% faster diagnoses, 15% improvement in accuracy, radiologists can now focus on complex cases. Model improves monthly with new data.
AI projects range from $50k MVPs to $500k+ full production systems. We charge per milestone with clear deliverables.