AI Systems & Automation
LLM pipelines, retrieval systems, and intelligent workflows in production.
Engineering with purpose & precision.
AI is only valuable when it ships reliably. We design, build, and operate AI systems that handle real production traffic — RAG pipelines with retrieval-augmented generation, multi-step agent workflows, LLM fine-tuning pipelines, and AI-powered automation that integrates with your existing systems. We prioritize eval-driven development so you always know what your system is doing.
Problems We Solve
Prototype worked but production is unreliable
LLM systems require careful prompt management, fallback chains, and eval frameworks. We build production-grade AI, not demos.
RAG retrieval quality is poor
Retrieval is where most RAG systems fail. We implement hybrid search, re-ranking, and contextual compression to maximize answer quality.
No visibility into what the AI is doing
We instrument every AI system with tracing, eval pipelines, and cost monitoring so you can measure and improve over time.
What We Deliver
Key Technical Disciplines
LLMs
- OpenAI GPT-4o
- Anthropic Claude
- Gemini
- Llama (open source)
Retrieval
- Pinecone
- Weaviate
- pgvector
- Qdrant
- Hybrid BM25+Dense
Frameworks
- LangChain
- LlamaIndex
- CrewAI
- Custom pipelines
Core Technologies & Frameworks
Architecture in code.
Type-safe primitives and production patterns engineered specifically for ai systems & automation.
1How we take ideas from discovery to deployment.
Problem Framing
We identify exactly where AI adds value vs. where deterministic logic is more reliable.
Data Audit
We audit your data sources, quality, and retrieval requirements before building anything.
Prototype + Eval
A functional prototype with an eval set is built and measured before any production commitment.
Production Pipeline
Scalable inference pipeline with caching, fallbacks, and cost controls.
Monitoring
Tracing, logging, and automated eval runs on every deployment.
Iteration
Monthly eval reviews with prompt and retrieval improvements based on real usage.
Representative Work in this Space
MockAI
Cortex
Industries We Apply This To
Frequently Asked Questions
Let's engineer your ai systems & automation system.
Share your project scope, technical requirements, or business goals. We review all inquiries and respond within 24 hours with an architectural consultation.