AI agent orchestration
We assign AI agents clear roles across CTO direction, business ownership, implementation, and review. Automated dispatch, progress polling, and review gates raise throughput without dropping quality.
Capabilities
We focus on operational systems, not demos. Our work combines LLM workflows with production-grade delivery, review, monitoring, and support. We also integrate classical machine vision, NLP, edge AI, and embedded systems knowledge into modern agent workflows.
We assign AI agents clear roles across CTO direction, business ownership, implementation, and review. Automated dispatch, progress polling, and review gates raise throughput without dropping quality.
We create a closed loop from spec to ship. Prototype, payment, email, analytics, monitoring, and support operations are connected early so products can reach users quickly.
We integrate RAG, internal agents, document processing, data extraction, and embedded LLM features into existing systems with clear permission and data boundaries.
Image recognition, inspection, document image processing, and systems that extract operational data from visual inputs.
Customer support, information extraction, summarization, voice, and chat experiences redesigned around modern LLMs.
Inference close to the field with latency, power, and device constraints in mind.
AI-aware architecture for IoT and industrial devices, including model selection, optimization, and operational monitoring.