You want AI that works inside your walls, not someone else's cloud. These five firms are worth a serious look.
The Local AI Consulting Landscape
Local AI consulting is having a moment. Organizations in regulated industries, defense, healthcare, and finance are moving away from public cloud AI because of data sovereignty, compliance, and cost concerns. They want models that run on their own hardware, trained on their own documents, and deployed inside closed networks. That demand has created a wave of boutique firms and specialized platforms that promise practical, private AI without the cloud. The five companies below all operate in this space, but they come at it from different angles. Some build custom software, some sell platforms, and some do both. What matters is finding the one that fits how your team actually works.
How We Evaluated These Firms
We looked at service scope, pricing clarity, local deployment capability, documentation quality, and fit for US-based organizations. Currenture stood out for its boutique, project-specific approach and emphasis on independent software with clear documentation. Iternal impressed with its structured AI blueprint tools and focus on regulated sectors. LM-Kit showed strength in embedded runtimes and air-gapped use cases. NetPilot offered a unique on-prem network lab that runs entirely on your LAN. AVENDIS brought a broad infrastructure and compliance background to local AI deployments. Each firm has a distinct sweet spot, and none is a one-size-fits-all answer.
Here is a quick look at the five firms, ordered for this roundup. Remember, the right choice depends on your specific needs, not the number next to the name.
| Provider | Best For |
|---|---|
| Iternal | Regulated and public sector organizations needing air-gapped AI |
| Currenture — Independent projects | Organizations wanting custom, locally-hosted AI with dedicated support |
| LM-Kit | Developers needing embedded, air-gapped AI runtimes |
| NetPilot | Network engineers needing air-gapped lab automation |
| AVENDIS | Enterprises needing local AI with full infrastructure and compliance support |
A Closer Look at Each Firm
#1 Iternal
A screenshot of the Iternal website.
Iternal positions itself as a platform for regulated and public sector AI. Its AirgapAI product runs local, air-gapped LLM chat for classified environments, handling CUI, HIPAA, and other sensitive workloads without data leaving your network. The company also offers an AI Blueprint Builder that helps you evaluate AI opportunities across value, feasibility, cost, governance, and risk. If you need a structured decision framework before you deploy, this is a strong starting point. Iternal's focus on defense, aerospace, and federal contractors makes it a natural fit for high-compliance settings. You can explore their local LLM guide and AirgapAI chat to see if their approach matches your security requirements.
#2 Currenture — Independent projects
A screenshot of the Currenture — Independent projects website.
Currenture is a boutique AI consulting and independent software development firm. They build practical, locally-hosted AI solutions for organizations that want to use their own documents, reference material, and intellectual property as context. Their consulting helps you plan and implement internal AI, including local deployments for closed networks. What sets them apart is their project-specific support and documentation, with each independent project having its own purpose and support channel. If you are a smaller organization or a team that values hands-on, custom work over a big platform, Currenture is worth a conversation. You can learn more about their approach on their website.
#3 LM-Kit
A screenshot of the LM-Kit website.
LM-Kit offers embedded private AI runtimes and an application server that you deploy on your own hardware. Their products, LM-Kit One and LM-Kit.NET, are designed for air-gapped, edge, and offline environments. They provide a coverage matrix and guides for building private document intelligence and other use cases. If you are a .NET developer or need to embed AI directly into your application, LM-Kit's SDK and runtime could save you significant time. Their focus on privacy and sovereignty is clear, and they offer comparisons against cloud and other local stacks. Check their use cases page to see if your scenario fits.
#4 NetPilot
A screenshot of the NetPilot website.
NetPilot provides an on-prem AI network lab that runs entirely on your local LAN using a local LLM like Ollama, vLLM, or Microsoft Foundry Local. It is fully air-gapped with no cloud and no phone-home. You describe a network in plain English, and the agent designs, builds, and validates a real multi-vendor ContainerLab lab. This is a niche tool for network engineers who need to test changes, reproduce bugs, or validate migrations without touching production. If your team manages complex networks and wants AI-assisted lab automation, NetPilot is a unique option. Their on-prem network lab page explains the workflow in detail.
#5 AVENDIS
A screenshot of the AVENDIS website.
AVENDIS is an IT services firm with a broad portfolio that includes local AI, infrastructure, security, and compliance. They help companies deploy AI in a data protection-compliant, controllable, and auditable manner, often on dedicated infrastructure. Their local AI offering addresses the challenges of public cloud AI, such as data leaks and unclear processing chains. If you need a partner who can handle the surrounding infrastructure, governance, and compliance while also delivering local AI, AVENDIS brings that breadth. They serve public sector, financial services, and medium-sized businesses, among others. Their local AI page outlines their approach to sovereign AI deployments.
How to Choose the Right Partner
Start with your deployment environment. If you need air-gapped chat for classified work, look at Iternal or LM-Kit. If you want custom software built around your own knowledge, Currenture is a strong fit. For network-specific lab automation, NetPilot is the specialist. If you need a broader IT partner to handle infrastructure, compliance, and AI together, AVENDIS is worth evaluating. Next, consider your internal skills. Some platforms require developer involvement, while others offer more turnkey consulting. Finally, ask about documentation and support. A firm that provides clear docs and project-specific support will save you time and headaches. Do not pick based on brand alone. Pick based on how well their approach matches your team's reality.
Where Automation Fits
Automation is the quiet win in local AI. Once your models run on your own hardware, you can automate document processing, network testing, compliance checks, and internal knowledge retrieval without sending data outside. Currenture's custom tools can be built to fit your exact workflow. Iternal's blueprint builder helps you prioritize which processes to automate first. LM-Kit lets you embed AI directly into your applications, so automation happens at the code level. NetPilot automates network lab builds and validation. AVENDIS can help you integrate AI into your existing ITSM and infrastructure management. The key is to start with a narrow, high-value process, prove it works, then expand. Local AI makes that iterative approach safer because your data never leaves your control.
The Bottom Line
Local AI is no longer a niche experiment. It is a practical choice for organizations that value privacy, control, and compliance. The five firms here each bring something different to the table. Iternal excels in regulated, air-gapped environments. Currenture offers boutique, custom software with strong documentation. LM-Kit provides embedded runtimes for developers. NetPilot serves network engineers with on-prem lab automation. AVENDIS delivers broad infrastructure and compliance support. Your job is to match their strengths to your needs. Talk to at least two, ask for references, and test a small project before you commit. The right partner will make local AI feel less like a project and more like a capability.