Services

Four areas of deep expertise. Every engagement is led end to end by the engineer who designs and builds your system.

AI Consulting

The problem: you know AI could change your product, but not which approach is feasible, what it will cost to run, or whether to build or buy.

Typical deliverables

  • A feasibility study with a working proof of concept on your own data
  • System architecture and model selection, with cost and latency estimates
  • A build-vs-buy recommendation and vendor evaluation
  • Technical due diligence on AI products and teams

Video Processing

The problem: video is heavy, messy and time-critical. Models that look great in a demo stall on real codecs, frame rates and hardware budgets.

Typical deliverables

  • Video enhancement: super-resolution, denoising, stabilization, frame interpolation
  • Video analysis: detection, tracking, segmentation, event and scene understanding
  • Real-time pipelines with GPU decoding, batching and inference optimization
  • Deployment on cloud GPUs and edge devices

Multimodal Systems

The problem: your data spans video, images, text and audio, and you need one system that understands them together — not four disconnected models.

Typical deliverables

  • Vision-language model selection, evaluation and fine-tuning
  • Multimodal search and retrieval (RAG) over video and image archives
  • Captioning, visual question answering and structured extraction
  • Evaluation sets and metrics tailored to your domain

Self-Improving Agents

The problem: agents that work on day one often plateau or degrade, and improving them by hand does not scale.

Typical deliverables

  • Agent architecture with tools, memory and guardrails
  • Evaluation harnesses that measure agent performance automatically
  • Feedback loops that let agents refine their prompts, tools and strategies — recursive self-improvement under human oversight
  • Safety limits, monitoring and rollback for autonomous changes

How we work

  • Assessment (1–2 weeks): a focused review of your problem, data and constraints, ending in a written recommendation and plan.
  • Project: a fixed-scope build, from prototype to production handover.
  • Advisory retainer: ongoing monthly support — architecture reviews, model choices and hands-on help when your team needs it.