Private AI, Running In-House
Powerful AI that runs on its own private hardware — no data sent to outside companies, no usage bills, no limits on how much it can translate.
Workflow moment
From manual step to owned workflow.
Before this step
Renting AI from a big cloud provider would mean unpredictable bills, handing sensitive religious text to a third party, and speed limits that make overnight runs impractical.
Now it runs as a system
New commentary keeps reaching tafsirtool.com, fast enough to cover the whole library, at the cost of a graphics card instead of a never-ending rental bill.
System detail
How the system works
The AI runs entirely on one machine in-house, working on eight passages at once. It splits the text cleanly so no verse is ever cut in half, translates it, and tidies the result — all without sending anything outside. 15 classical scholars are already covered in the live product.
Proof
Proof it is real
- Scholars wired into the live product
- 15
- Runs on one in-house machine, translating eight passages at the same time.
- 15 classical scholars already covered in the live product.
- No usage bills and no data leaves the building — you own the hardware.
- Text is split cleanly so no verse or sentence is ever cut in half.
~24,600 lines of Python across 58 scripts; runs local-first with a cloud fallback. (Source: tafsirtool-dossier.md §5.)