Turn your data into decisions that compound
Custom AI/ML models, intelligent automation, and LLM integrations. From predictive analytics to generative AI — built for production, not just demos.
Capabilities
Custom ML model training and deployment (PyTorch, TensorFlow)
LLM integration & fine-tuning (GPT, Claude, open-source models)
AI-powered chatbots and virtual assistants
Computer vision & image recognition systems
Natural language processing (NLP) pipelines
Recommendation engines & predictive analytics
RAG (Retrieval-Augmented Generation) applications
MLOps — model monitoring, retraining, and versioning
Choose how we work together.
AI Proof of Concept
Validate your AI idea with a working prototype in 2–4 weeks.
$8K – $20K
Full AI Product Build
End-to-end development from data pipeline to production deployment.
$25K – $80K
AI Consulting Retainer
Ongoing AI strategy, architecture reviews, and model optimization.
$5K – $12K / month
Common questions.
What AI frameworks do you use?
PyTorch and TensorFlow for custom models, LangChain and LlamaIndex for LLM applications, Hugging Face for NLP, and scikit-learn for classical ML. We pick based on your use case, not trends.
Can you integrate AI into our existing product?
Yes. About 60% of our AI work involves adding intelligence to existing products — smart search, automated workflows, content generation, and predictive features.
Do we need a lot of data to get started?
Not always. For LLM-based applications, we can work with your existing content. For custom models, we help with data collection strategy and can start with as few as 1,000 labeled examples.
Ready to start?
Book a free 30-minute call. We'll discuss your project and tell you honestly if we're the right fit.
Book a Call