AI that solves specific problems, not everything at once

We build AI features that work in production. Recommendation engines, semantic search, demand forecasting, and NLP pipelines. Practical machine learning, not science projects.

Why AI

Production-grade, not prototype-grade

A model that works in a notebook is 10% of the work. We handle the other 90%. Data pipelines, model serving, monitoring, fallbacks, and the engineering that makes AI reliable at scale.

LLM integration done right

We integrate large language models with proper guardrails. Structured outputs, cost management, latency optimization, and fallback strategies. Not just wrapping an API call in a try-catch.

Domain-specific solutions

Off-the-shelf AI rarely fits. We fine-tune models, build custom embeddings, and design retrieval systems that understand your specific domain and data.

What We Build

Semantic search and embeddings

Vector databases, embedding pipelines, and retrieval-augmented generation. We build search systems that understand meaning, not just keywords.

Demand forecasting

Time-series models that predict demand using historical data, external signals, and domain-specific features. Deployed across hundreds of locations with measurable accuracy.

NLP and text processing

Content classification, entity extraction, summarization, and clustering. We build pipelines that process thousands of documents daily with consistent quality.

RAG applications

Retrieval-augmented generation systems that ground LLM responses in your actual data. Proper chunking, re-ranking, and citation so outputs are traceable and trustworthy.