Services / Infrastructure and data
AI pipelines that stay affordable, and the databases under them
We build and run LLM pipelines, PostgreSQL databases, and the infrastructure under them, and we prove each practice on our own production systems first.
Only the items that need them reach the costly models
In our own LLM pipeline, a small model screens each item and only about 8 % go on to full-document processing; we replay-tested the design before release.
More than 100 GB moved off a managed cloud with about 3.5 minutes of application downtime
We moved our own production PostgreSQL platform onto our own infrastructure; a live first pass copied the bulk, and the rollback stayed staged after the move.
Moving 100 GB+ of PostgreSQL off a managed cloud with about 3.5 minutes of application downtime
Job queues that heal themselves
Our job queues live in PostgreSQL: workers claim jobs atomically, expired leases count as retries, attempts are bounded, and a daily check re-verifies the queue at near-zero cost.
Tools we work with include PostgreSQL, Supabase, Proxmox, ZFS, and Cloudflare Tunnel, among others.
Do you work on premises or in our cloud?
Both. We have run production on a managed cloud and on our own hardware, where our own production runs today.
Can you work on site?
Yes, as needed and for as long as the work needs, including inside SCIFs. Our founder holds a TS/SCI clearance.
What does an estimate cost?
Estimates are free. Send the scope through the contact form; we reply within one business day and send a written quote within five business days.