Where should
your AI work?
Four ways to bring AI to sensitive work, compared on where data goes, who builds the workflow, cost and control.
At your companyThe work is processed here.
The task is processed here.
Each option defined firstProvider sources linkedChecked October 10, 2026
Four ways
to bring AI to your work.
Cloud AI services
Assistants and APIs that process the task on a provider’s servers. Business cloud plans can include privacy and access controls.
Building it yourself
Your own hardware, models and staff build the workflow from scratch and keep it running.
Other on-site platforms
Software you install on your own servers. Compare what each one includes.
Synexas Matrix
One system at your company: the hardware, the assistant and the engineers who build your workflow, offline.
Matrix and cloud AI,
side by side.
Matrix processes working data on your site, without sending it to Synexas or an outside AI provider. The one exception is a proof on your task if you ask for one: data you authorize, under an NDA, deleted afterwards.
| What matters to your team | Synexas Matrix | Cloud AI services |
|---|---|---|
| Working data sent to an outside AI provider | Not in the standard offline setup. Your files, questions and answers stay in your company’s local environment. | Sent for cloud processing. The service processes the questions and content supplied for the task. |
| An outside AI connection to keep working | Not required. Matrix runs offline, on site. It reaches an outside service only if your IT team approves it. | Required. AI work depends on a connection to the provider’s service. |
| Token charges and software usage quotas | No token meter for local use. No per-token fees or software token quota. | Provider pricing and limits. Cloud API usage rates and assistant-plan fees or limits are set by the provider. |
Cloud-processing sources · checked September 24, 2026ChatGPT: where files are processedChatGPT: service usage and costClaude: how company files are handled
Who builds it,
how it is priced.
| Public cloud AI | Building it yourself | Synexas Matrix | |
|---|---|---|---|
| Where your data goes | Leaves your network | Stays on site | Stays on site |
| Who builds the workflow | You adapt to the tool | Your team, from scratch | Our engineers, around your task |
| Before you commit | A trial on generic tasks | Months of your own work | A demo on work like yours, then one agreed scope |
| Pricing | Per seat or per token | Hardware plus staff time | One agreed price. No per-token fees |
| Maintenance | Managed by the vendor | Your IT team | Our engineers, on site, only when you invite them |
Local processing is a different boundary, not a guarantee of better answers or automatic compliance. We do not reuse another vendor’s figures as Matrix evidence.
Named comparisons.
Each compares one product, or one category, with the standard Matrix offer. Sources checked October 10, 2026.
Let’s make AI useful.
For your actual work.
Tell us about a job your team repeats, not your confidential files. We’ll show you how Matrix handles work like it.
Request a demo