private-local.ai alternatives, compared one at a time
Benjamin Spinola, Founder
Published Updated 7 minutes read
Most people looking at private-local.ai alternatives are comparing things that are not alternatives to each other. An AI chatbot such as ChatGPT, an enterprise platform, a piece of open-source software, a data-redaction container and a managed assistant installed on your premises all get described as ways to keep your AI under your own control, and they sit at different heights in the same stack.
This page says which is which and sends you to the one that matches your situation.
What we sell, for context: we run a model of your choice, whether it's Qwen, DeepSeek or GLM, on an NVIDIA DGX Spark server. You connect your tools and run your own tasks on the model and machine you chose.
The test drive answers one question before you spend the money: whether buying a machine and running your own AI like that would be worth it.
The five comparisons
private-local.ai compared with ChatGPT
The cloud-or-your-own-hardware question, and the one most readers actually have. ChatGPT is a finished product, but many users and business owners have serious questions about whether their intellectual property and client information are safe there. Read this one if you are wondering whether the work you already do in ChatGPT could run on a machine you own.
private-local.ai compared with Palantir
Palantir argues that controlling your own AI is a matter of architecture rather than contracts, and backs it with a hardware blueprint built with NVIDIA. It is built for governments and the world's largest corporations and institutions, not for small and mid-sized companies. Read this one if you like the argument but need a version your company can actually use.
private-local.ai compared with LocalAI
LocalAI is free, open-source software that turns a machine you already have into an AI server. What it can do is limited by that machine, and the computers most companies already own are usually too small for a capable open model. Read this one if you are weighing the free route against testing on hardware built for the job.
private-local.ai compared with Private AI, now Limina
Limina removes personal, medical and payment data from your text before it reaches a model such as ChatGPT. The detection is automated, and AI makes mistakes: you cannot be fully sure that every piece of sensitive data was actually removed. Read this one if you are deciding between redacting your data and keeping it on a machine of your own.
private-local.ai compared with Seesa
Seesa installs a finished assistant over your email, documents and chat in your own building, and its supplier manages it on hardware that you buy or lease. Seesa states that the configuration in its price calculator has not been benchmarked on that hardware. Read this one if you are considering such a system and want to see what an open model achieves on a DGX Spark first.
How the models themselves compare
AI model benchmarks 2026: open models compared with GPT-6 and Claude
The comparisons above are about who runs your AI. This one is about the models themselves: GPT-6 Astra, GPT-5.6 Sol, Claude Opus 5.5 and Claude Fable 5.1 beside open models from Qwen, DeepSeek, GLM and OpenAI, across seven public rating systems, with every figure sourced and dated. It also shows which of the open models fit on one DGX Spark.
Five different purchases, not five rival products
Before any comparison, it helps to see which layer each option occupies. The layers are comparable to the parts of a website: the server software, a filter that removes sensitive information, a finished application installed by its supplier, a complete managed platform, and the decision about what to buy in the first place.
The engine
LocalAI
Free software you install on your own machine that makes it answer AI requests. It is the part that actually runs the model. It does not come with hardware, advice or anyone to call.
The filter
Private AI, now Limina
A container that finds and removes personal, medical and payment information from text, documents, images and audio before it goes anywhere else. It does not run a language model for you; it protects whatever does.
The finished application
Seesa
An assistant over a company's email, documents and chat, installed in its building and managed by its supplier. The hardware is bought, leased or supplied by the customer, and Seesa chooses the models.
The whole platform
Palantir
An enterprise system with its own data layer, deployment machinery, hardware blueprint and engineers on site. Running models on your own premises is one property of it, not the product.
The decision
private-local.ai
An hour or two on a prepared, disclosed machine and model, so you can answer one question with your own workload: would owning this be worth it?
How these comparisons are written
Everything we write about another company comes from that company's own public website and documentation, with the date we read it stated on the page. Where a number appears, we name whose number it is.
Our own measurements will be published with the machine, the model version, the serving software, the task and the date attached, so that anyone can check them.
Companies change their offers, and two of the five names here changed during 2026 alone. If something is wrong or out of date, tell us and we will correct it.
Questions about the alternatives
Which private-local.ai alternatives are real competitors?
Each one answers a different question. ChatGPT is where most teams start, and it raises the question of what happens to their intellectual property and client information. LocalAI is free software, but it is only as capable as the machine you run it on. Palantir serves governments and the world's largest corporations. Limina filters personal data before it reaches a model, and automated filtering can miss things. Seesa installs a finished assistant in your building and manages it, on hardware that you buy or lease. We answer the question that comes before all of them: whether a machine of your own would do your work.
Which comparison applies to us?
Start from what is stopping you today. If it is what happens to your data in a cloud service, read the ChatGPT page. If you already have an engineer and a powerful machine, read the LocalAI page. If you are a government or a very large institution, read the Palantir page. If the only issue is personal data in otherwise harmless text, read the Limina page. If you want a finished assistant installed in your building, read the Seesa page. If the question is whether a machine of your own would do the work, that is what our test drive answers.
Where does the information on these pages come from?
From each company's own public website and documentation, read on the date each page states. LocalAI is open-source software that we may use as a component of our own configurations.
Is there a comparison you have not written?
Yes. Tell us which alternative you are weighing us against, and we will write that comparison next.
Not sure which of these your problem belongs to?
Pick a setup and run the work that is actually stopping you, on the machine and model you would buy. In an hour or two you know whether a machine of your own does the job.
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