Custom models
Domain reasoners, compact SLMs, and fine-tunes trained on your corpus, with an eval suite you can defend to a board. Training is scoped to one workflow first, then expanded when the bar is met.
Private inference
VPC, on-prem, or on-device. Latency and data residency are first-class constraints. If the cloud is the wrong place for the data, the model runs next to it.
Agentic systems
Tool-using agents wired into claims, ops, support, or research. Measured against real tasks, not a demo transcript.
Retrieval that cites
Grounded systems over your documents, tickets, and code, with citations, a refusal policy, and drift checks. Retrieval is used when the problem is knowledge access, not as a default slogan.
On-device and edge vision
Object and activity models on CCTV you already have: people, vehicles, PPE, dwell. Running on your network. The same thesis as laxnar.ai: intelligence next to the camera when a data centre is the wrong trade.
Lab retainers
An embedded research cell for companies that will keep shipping models, not a one-off prototype. See engagements on the Laxnarlabs home page.