Atomic Capabilities, Built In-House
Every system we ship is composed from these layers. We select, deploy, and tune each one ourselves โ on your infrastructure, with your data staying put.
The Right Model, Deployed Locally
Model selection, evaluation, local deployment, and fine-tuning. We benchmark candidates against your actual task and your hardware, then deploy the model that fits โ not the largest one available.
- Model selection & evaluation against your task
- On-premise deployment on your hardware
- Fine-tuning on your domain data
- Quantization & inference tuning for your GPUs
On-Prem
Runs on your hardware
Voice That Sounds Human, At Product Latency
Speech-to-text and text-to-speech supporting English, Mandarin, and Cantonese. We tune the pipeline for low, predictable latency and a natural voice โ the difference between a tool people tolerate and one they actually use.
- Multilingual STT (English, Mandarin, Cantonese)
- Natural, low-latency streaming TTS
- Domain vocabulary & accent tuning
- End-to-end pipeline optimization
3 langs
EN ยท ZH ยท YUE
Answers That Are Accurate โ And Cited
Retrieval-augmented generation with reranking and graph-enhanced search (GraphRAG). The model answers from your own documents, the results are reranked for relevance, and every answer is traceable to a source.
- RAG grounded in your knowledge base
- Reranking for relevance & accuracy
- Graph-enhanced search (GraphRAG)
- Source attribution for every answer
Cited
Traceable to source
Composed Into a Custom Agent
We take the model, the voice, and the retrieval layer and compose them into a custom AI agent that does real work in your workflow โ answering, booking, routing, or assisting your team, end to end.
- Custom agents built from the layers above
- Integrated into your tools & workflows
- Tool use, routing, and action execution
- Locally deployed & maintained
Custom
Built for your workflow
Need a capability we haven't listed?
If it sits in the local-AI stack, we can probably build it. Book a consultation and tell us what you need.