AI & Automation
Practical AI integration — LLM-powered features, custom agents, RAG systems, and workflow automation. We pick the problems where AI actually helps and ship them to production, not the demo.
Overview
The AI landscape is moving fast, and the gap between useful AI integrations and hyped prototypes is significant. Our approach is pragmatic: we focus on the problems where AI creates genuine, measurable value, and we build the solutions that actually work in production.
From evaluating the right AI strategy for your business to engineering production-ready systems with proper observability, cost controls, and evaluation frameworks, we bring both the technical expertise and the strategic clarity to make AI work for your organization.
- PoC before commitment
- Eval-driven development
- Cost-aware scaling
Capabilities
AI Agent Development
Build autonomous AI agents that handle complex, multi-step tasks, from customer support to data analysis, using frameworks like CrewAI, AutoGen, and LangGraph.
LLM Integration & Fine-tuning
Integrate leading large language models (OpenAI, Anthropic, open-source) into your products with robust prompt engineering, evaluation frameworks, and custom fine-tuning.
RAG Systems
Retrieval-Augmented Generation systems that ground AI responses in your proprietary knowledge base. Accurate, contextual, and up-to-date.
AI Workflow Automation
Automate repetitive, complex workflows using AI agents and orchestration tools like n8n, LangChain, and custom pipelines, freeing your team for higher-value work.
Managed AI Services
End-to-end AI system management: monitoring, cost optimization, model updates, and performance tuning. So your AI keeps delivering as your business evolves.
AI-Powered Analytics
Intelligent dashboards, anomaly detection, and predictive insights that turn your data into a strategic asset.
How We Work
Opportunity Assessment
We map your workflows and identify where AI can create the most leverage, prioritizing high-value, tractable problems.
Proof of Concept
Rapid prototyping to validate that the AI approach works for your specific use case, before committing to full development.
Production Build
Engineering the system to production standards: reliable, observable, cost-efficient, and maintainable over time.
Evaluation & Iteration
Ongoing measurement of AI system performance with structured evaluation frameworks and continuous improvement cycles.
Got an AI idea you want shipped, not demoed?
Start with a conversation. We help you pick the right opportunity, validate the approach, and build it for production.
Start the conversation30-minute call, no slides. We'll sanity-check whether your idea is the right shape for AI — and whether the data and infrastructure under it can actually support a launch.