AI &
Automation
LLM integrations, ML infrastructure, and intelligent automation that reduces operational overhead and surfaces real signal from your data. We build AI features that ship to production, not just demos.
Start a Project →LLM Integrations
Production-grade integrations with OpenAI, Anthropic, and open-source models — with prompt engineering, streaming, caching, and cost controls built in from day one.
RAG Pipelines
Retrieval-augmented generation systems that let your users query internal knowledge bases, documents, and structured data with natural language.
AI Generation Caching
Semantic and exact-match caching layers that eliminate redundant LLM calls, cutting costs and latency — especially critical for high-volume or repeat-query workloads.
ML Model Deployment
Packaging, containerization, and serving of trained models with versioning, rollback, and observability built into the pipeline.
Data & ETL Pipelines
Streaming and batch pipelines that move, transform, and surface data from disparate sources into a state usable for models and downstream consumers.
Workflow Automation
Replacing manual business processes with intelligent, event-driven workflows that handle exceptions gracefully and integrate with existing tooling.
- LangChain
- OpenAI API
- Anthropic
- LlamaIndex
- Ollama
- Python
- Ray
- Apache Airflow
- Pandas
- PyTorch
- Redis
- GPTCache
- Semantic search
- pgvector
- AWS SageMaker
- Kafka
- Docker
- Pinecone
- Weaviate
Have an AI problem to solve?
Tell us what you're trying to automate or what data you're sitting on.