AI & Intelligent Systems
Intelligence that runs in production. Not just in demos.
The AI industry has a demo problem.
Systems that work brilliantly in controlled presentations fall apart with real data, real users, and real constraints. Costs spiral. Latency kills UX. Edge cases break everything.
We build AI for the real world:
• Designed for production from day one
• Evaluated rigorously before deployment
• Monitored continuously after
• Honest about what AI should and shouldn’t do
Sometimes the answer is “you don’t need AI for this.” We’ll tell you.
Capabilities
AI Agents & Automation
Autonomous systems that execute workflows, make decisions, and complete tasks. Customer operations, internal tools, process automation.
Generative AI Applications
Production-ready GenAI — document generation, content systems, code assistance. Built with cost control, latency management, and failure handling.
Intelligent Analytics
Analysis systems that surface insights humans miss. Anomaly detection, pattern recognition, natural language reporting.
Document Intelligence
Extract, classify, and process information from documents at scale. Structured data from unstructured chaos.
Conversational Interfaces
Chat and voice interfaces that actually understand context and complete tasks. Not chatbots that apologize and transfer to humans.
Our Approach
- 1. Start with the problem, not the model
- 2. Establish success metrics before writing code
- 3. Build evaluation frameworks first
- 4. Design for failure (because AI fails)
- 5. Plan for drift and degradation
- 6. Document everything
Technology
We work with: OpenAI, Anthropic Claude, open-source models (Llama, Mistral), vector databases, standard ML frameworks
We choose based on: Your requirements, not vendor relationships