Private, on-premise AI
Founded in 2015 · 2620 Centennial Rd., Suite C, Toledo, OH 43617 · (419) 841-5552 · Mon–Fri, 8 AM–6 PM
We’ll find the right hardware for what you’re doing, based on your workload, the models you want to run, how many people will use them and the data they’ll work with. Then we build it or sell it to you, ready to run. Already have suitable hardware? We can use that instead.
We compare open-source models such as Qwen (the one we set up most often), Llama, Mistral and Gemma on your real tasks, then install and configure the local LLM on your workstation, on-premise server or private server.
We set up search and question answering over your manuals, policies, contracts and other files (often called RAG), so answers come from your documents and point back to the source.
Our team builds custom software with Node.js and Angular, so we can connect your local AI to the systems and workflows you already use, from internal tools and databases to forms and reports.
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We set up user accounts, role-based permissions and logging, keep the system inside your network and limit which documents each group of users can reach.
We train your team to use the assistant well and check its answers, then keep models, software and security patches up to date and add new uses as your needs grow.
A ChatGPT-style assistant that runs on your own hardware, so employees can draft, summarize and look things up without pasting company data into a public AI tool.
See chatbot development →
Our team has more than 10 years of experience building custom software, web applications and websites, and we bring that same engineering to every local AI setup.
Our office is at 2620 Centennial Rd., Suite C, in Toledo. We’re glad to meet at your business to look at your hardware, your data and how your team works. Call (419) 841-5552, Mon–Fri, 8 AM–6 PM.
Looking for local AI setup in Toledo or AI consulting Toledo businesses can meet face to face? We work across Northwest Ohio and set up on-premise AI for clients nationwide.
Prompts, documents and answers stay on your own network. That helps businesses that handle healthcare, legal, manufacturing or financial data keep sensitive information in-house and support their compliance requirements.
Once a local LLM is running on your hardware, your whole team can use it without paying a cloud AI provider for every seat.
Your private AI keeps working without an internet connection, and you decide which models run, who can use them and when they’re updated.
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We learn which tasks you want AI to help with, what data it should use, who will use it and any privacy or compliance requirements you need to meet.
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We find the right hardware for your workload, models, users and data, then build it or sell it to you, or use suitable hardware you already own. We also pick the open-source models that fit your work and test them on sample questions from your business.
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We install the models, a chat interface and document search on your hardware, then connect them to your files and existing software.
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We set up access controls and logging, test with your staff and train your team on writing good prompts, checking answers and knowing what the system shouldn’t be used for.
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We monitor the system, apply updates, evaluate newer open-source models as they’re released and add new workflows over time.
Local AI means running AI models, such as open-source large language models (LLMs) like Qwen, Llama, Mistral or Gemma, on computers you own or a private server you control instead of sending your data to a cloud AI service. Your team gets a private AI assistant on your own network.
It depends on your workload, the models you want to run, how many people will use them at once and the data they’ll work with. Smaller models can run on a single GPU workstation, while larger models and more users call for a server with more GPU memory. We’ll find the right hardware for what you’re doing, then build it or sell it to you, ready to run. If you already have suitable equipment, we can start with that.
Yes. With on-premise AI, your prompts, documents and answers are processed on your own hardware and stay inside your network. We also set up access controls so people only see the documents they’re allowed to see.
Cloud tools like ChatGPT run on the provider’s servers and are usually billed per user. A local LLM runs on your hardware, works offline and keeps your data in-house. The largest cloud models can still be stronger at some tasks, so we help you choose models that fit your work and we’re upfront about the trade-offs.
It depends on your hardware, the number of users and how many systems we connect. A focused first setup, such as a private chat assistant or document Q&A for one team, moves much faster than a company-wide rollout. We’ll give you a timeline once we understand your needs.
Tell us what you’d like AI to help with, what kind of data you work with and what hardware you have today. We’ll talk through what’s realistic and suggest a practical first setup.