Autofract

Hire the studio

We build systems that run themselves — for you.

The four platforms on this site were designed, built and operated by this studio. The same doctrine — chaos-tested, adversarially verified, receipts for everything — is for hire.

Get a fixed quote in 48 hours

Three ways to work with us

Build

A system, end to end

from $4,000

A fixed-scope system designed, built and shipped to production: an AI agent, an autonomous pipeline, a data product — anything that should run itself.

  • Fixed quote after a 48-hour scoping pass — no surprises
  • Weekly demos on production infrastructure, not slides
  • Handoff with docs, tests and a 30-day fix window

Run

We keep it alive

from $1,500/mo

Your system, operated the way we run our own: monitored, self-healing, improved every month. You read a report; nobody babysits a dashboard.

  • Monitoring, incident response and recovery included
  • A monthly improvement budget spent on your priorities
  • Cancel monthly — the system stays yours

Rescue

Fix what's failing

from $2,000

An AI project that stalled, an unstable pipeline, an agent that misbehaves in production. We audit it, then harden it to antifragile standards.

  • Written audit with a severity-ranked findings list
  • Hardening: gates, retries, circuit breakers, adversarial QA
  • Before/after evidence — measured, not claimed

Prices are starting points for the smallest useful scope. The 48-hour scoping pass turns your brief into a fixed quote.

What we take on

Anything that should run itself.

AI agents & multi-agent platforms

Autonomous agents that plan, call tools and finish jobs — with budget caps and human gates exactly where you want them.

proven in: VideoLinker →

Content & media pipelines

Script-to-video factories, generation pipelines, publishing automation — whole productions one API call wide.

proven in: VideoLinker →

Self-healing backends

Services that detect failure, isolate it and recover on their own — chaos-tested before it happens for real.

proven in: PathCore →

Verified data products

Registries and datasets where every fact carries a source, a date and a tamper-evident history.

proven in: FrontDesk →

Multilingual data platforms

Open-data products mirrored across languages by their own pipelines — static, fast, no server to crash.

proven in: Relocating →

AI safety & QA gates

Moderation layers, adversarial verification, rule engines that score every artifact before it ships.

proven in: FrontDesk →

The process

01

Scope

You send the brief. Within 48 hours you get a fixed quote, a clear cut-line of what's in and out, and the first architecture sketch.

02

Build

Short weekly cycles, each ending in a demo on production infrastructure. You watch the system come alive — not a slide deck.

03

Harden

Before handoff we attack our own work: chaos runs, adversarial QA, failure drills. What survives is what ships.

04

Run or hand off

Take the keys — docs, tests and receipts included — or put it on a Run retainer and never think about it again.

Fixed quote before we start — the number doesn't move

You own everything: code, IP, infrastructure, data

Production from week one — no throwaway prototypes

Async-first, straight talk — English or Russian

Questions we get

How fast can you ship?

A first working slice runs in production within 1–2 weeks; a full system in 3–6, depending on scope. The 48-hour scoping pass gives you the real number before you commit.

What stack do you use?

TypeScript, Go and Python — self-hosted or in your cloud. We stay vendor-neutral about models and providers; systems are built so components can be swapped without a rewrite.

Who owns the result?

You do. Full transfer of code, infrastructure and IP on final payment. We keep only the right to describe the work anonymously as a case study.

What happens after handoff?

Every Build includes a 30-day fix window. After that, your team runs it with our docs — or we keep it alive on a Run retainer.

Tell us what should run itself.

Three sentences are enough. We reply within 24 hours with questions or a scoping proposal.

What do you need?
Budget