What we do
Three kinds of engagement. Clear edges.
Every project has a defined outcome, a fixed price, and a delivery date agreed up front. No hourly, no open-ended.
Fine-tuned vision models
Detect what you actually ship (defects on your production line, signs in your documents, patterns on your scans), not what happens to be in open datasets.
- → Object detection, segmentation, classification, or embeddings
- → Trained on your labeled data, under NDA
- → Delivered as an ONNX model + one-line integration into the SDK
Typical · 4 to 6 weeks
Fine-tuned LLMs
Your domain, in a model that fits under your GPU budget. Fine-tuned on your corpus, packaged to run locally on Hugind. No API calls leave your network.
- → Fine-tune on open-weight bases (Llama, Gemma, Qwen, Mistral)
- → Quantized to GGUF for laptop and single-GPU deployment
- → Shipped with a Hugind config and eval report against your tasks
Typical · 4 to 6 weeks
Integration & consulting
Get the imaged SDK or Hugind running end-to-end in your app, on your infrastructure, in weeks, not quarters. Plus an architecture review if you want a second opinion before you start.
- → Native integration (iOS, Android, macOS, Linux, Windows)
- → On-prem deployment, air-gapped environments welcome
- → Architecture review, code review, or embedded engineering
Scoped per project