(Use Cases)

What it replaces
in your stack.

Every workflow that currently sends data to a cloud API is a candidate for a specialized on-device model , faster, cheaper, and fully private.

Inbox & Email

Triage, classify, and search email at scale , no cloud.

Large language models sent over an API read every email you submit. A specialized on-device model processes your inbox locally: routing, prioritizing, and surfacing threads without a single token leaving your network. Latency drops from seconds to under 1s. Cost drops from per-call API charges to zero ongoing fees.

AI email triage · inbox classification · local email AI · private email search

Legal & Contracts

Search and extract from contracts without exposing documents.

Contract review and clause extraction require sending confidential documents to a third-party API , a compliance and confidentiality problem. A domain-specialized model running on your infrastructure reads, parses, and answers questions about your MSAs, NDAs, and service agreements entirely in-house. No data leaves the building.

AI contract analysis · legal document AI · on-premise contract search · private legal AI

Customer Support

Resolve support tickets with a model trained on your product.

Generic models hallucinate product-specific answers. A model trained on your support history, documentation, and resolution patterns answers accurately , and routes edge cases to humans. Runs on a single GPU node inside your infrastructure. No customer data exposed to third-party providers.

AI customer support · on-device support AI · local helpdesk AI · private support automation

Finance & Math

Accurate financial reasoning on sensitive numbers , locally.

Financial calculations, report parsing, and numeric reasoning require precision. General-purpose models are unreliable on structured numeric tasks. A specialized math-reasoning model fine-tuned on financial formats achieves 99% accuracy on domain benchmarks , and runs entirely on your hardware, keeping your financial data private.

AI financial analysis · local AI for finance · on-device math reasoning · private financial AI

Internal Knowledge

Search internal docs, wikis, and codebases without a cloud index.

Enterprise knowledge search typically requires indexing your internal content into a third-party vector database. With an on-device model, the index stays on your servers. Engineers, analysts, and ops teams query documentation, RFCs, runbooks, and codebases , the model surfaces answers without ever transmitting content externally.

enterprise knowledge search · on-premise RAG · local document search AI · private internal search

Don't see your workflow?

If it currently calls a cloud API, there's likely a better local alternative. Tell us the task.