# Local AI Model Development

> Build AI apps and workflows that protect your data and IP.

Public AI APIs are fine for experiments. Once AI touches source code, contracts, customer records, or proprietary workflows, most businesses need a different approach. We help teams deploy local and self-hosted models, then build the apps and automation that use them securely.

HTML version: https://bowtie.co/private-ai/

## Capabilities


- Local and self-hosted LLM deployment in your cloud or ours

- Secure internal assistants and private document search (RAG)

- AI-powered apps and workflow automation on private models

- Hybrid architectures across on-prem, client cloud, and partner-managed environments

- Inference cost control and reduced token spend

- Security review for AI-built software before it reaches production


## Use cases


- Build internal apps that query proprietary documents without sending them to a public API

- Automate workflows on customer, financial, or legal data that must stay inside your boundary

- Give engineering and ops teams private coding or knowledge assistants

- Design hybrid systems: sensitive jobs stay local, low-risk jobs can still use public models


## Outcomes


- Clear data boundaries so IP and customer information stay under your control

- Production apps and workflows employees can trust — not another demo chatbot

- Predictable infrastructure cost instead of surprise token bills



## FAQ


### Does local AI mean we need a server under a desk?

Usually no. Most teams run models in their own cloud account or a partner-managed private environment. On-prem is an option when compliance requires it.


### Can we still use public models for some work?

Yes. Hybrid is usually best. Keep confidential workloads private; send lower-risk tasks to public APIs when they add clear value.


### Will you build the apps and workflows, or only host the model?

Both. Installing a model is the easy part. We design the architecture, deploy it securely, and build the software that connects it to how your business actually works.


### Is this only for large enterprise teams?

No. Any business handling sensitive IP, customer data, or rising token costs can benefit from a private or hybrid approach.


### How do we start?

A short discovery call to map data sensitivity, current AI usage, and the highest-value app or workflow to run on a local model first.




## Related

- [All services](https://bowtie.co/services/index.html.md)
- [Contact Bowtie](https://bowtie.co/contact/index.html.md)
- [llms.txt](https://bowtie.co/llms.txt)