Designing a human review queue for AI output
How to make AI review useful: show the source beside the proposal, route specific exceptions, plan reviewer capacity and measure errors after approval.
We help businesses build AI into the way they work: agents for the routine work, products with AI inside and the platforms underneath. Work starts within days, with a first working version within a week.
Five things we build, each described with what you get, how the work runs and where our experience with it comes from.
AI agents that read documents, answer customers and assemble reports inside your existing tools, with an evaluation set, an action log and a person in the loop.
Web and mobile products with AI inside, from a working first version within a week to a launched app on a stack your team can run, at a fixed price.
Help deciding where AI pays off in your business, which models and vendors to use and what to build first, from a studio that builds AI products every week.
AI for SMS, voice and messaging platforms: traffic classification, abuse detection, support agents and provisioning automation, from people who ran the systems.
Apps, data platforms and analytics on medical-grade wearable data, from the technology partner of CardioMood and Corsano Health.
We are an AI-native studio. AI agents do much of our own work, from research to code, tests and reviews, with an engineer responsible for every result, so we start sooner and deliver faster than a traditional agency.
Our mission is to help businesses build AI into the way they work. We believe a business that puts AI agents into its processes can move five to ten times faster, and we would rather show it on your data in a week than argue it in a proposal.
Day one
We talk through the process you want to speed up and get access to the data and tools involved. No month of proposals.
Within a week
A first version running on your real cases, often in a few days, and a fixed price for what comes next.
Before go-live
Every AI feature is checked against real cases from your business, so its accuracy is a number before anyone relies on it.
Every week after
A new working version each week. At the end the code, prompts, evaluation sets and runbook are in your repository, or we keep running it.
Companies we have worked with as a technology partner.
Technology partner
An AI back office for European restaurants that tracks food cost, supplier invoices, recipes, stock and profit. We worked with it as technology partner.
Technology partner
A physiological early-warning system for executive coaching with continuous medical-grade stress, recovery and performance data. We built the platform and apps.
Technology partner
Medical-grade wearables for continuous patient monitoring in hospitals, at home after discharge and in clinical research. S12V Labs is a technology partner.
Technology partner
An app and platform that turns Android phones into private 3G, 4G and 5G mobile proxy servers. We worked on the app and the platform around it.
Technology partner
An interactive AI roleplay service for adults. We built its MVP as technology partner and validated the demand before it hired a full-time CTO.
S12V Labs has worked with CardioMood, a physiological early-warning system for executive coaching; bilz.ai, an AI back office for European restaurants; iproxy.online, which turns Android phones into mobile proxy servers; and Corsano Health, the maker of CE-MDR and FDA cleared patient-monitoring wearables. In 2024 we built the MVP of EroPlay.ai, an AI roleplay service for adults, and validated its demand. Before that, the studio built telecom products in virtual numbers and messaging.
We are an AI-native studio: AI agents do much of our own work, from research to code, tests and reviews, with an engineer responsible for every result. That is why work starts within days and a first working version is in your hands within a week. Before an AI feature goes live, we measure it against real cases from your business so its accuracy is a number. We then ship a working version every week. At the end we hand over the code, the prompts, the evaluation sets and a runbook, or we keep operating the product for a monthly fee.
S12V Labs is an AI-native product studio. The legal entity is S12V Labs LLC in Cheyenne, Wyoming. It builds AI agents, custom AI apps and platforms for clients in the EU and the USA, and it has worked with CardioMood, bilz.ai, iproxy.online and Corsano Health as a technology partner.
S12V Labs is run by an engineer who writes code and is on every client project himself. The studio has worked with CardioMood, bilz.ai, iproxy.online and Corsano Health as a technology partner.
S12V Labs builds AI agents and automation for existing workflows, custom AI apps and MVPs, and AI for telecom and messaging platforms and for wearables and health tech. It also offers AI consulting: an assessment of where AI pays off in a business, which models and vendors to use and what to build first.
S12V Labs worked with bilz.ai, an AI back office that reads supplier invoices and tracks food cost, recipes, stock and profit for restaurants; CardioMood, a physiological early-warning system for executive coaching built on a medical-grade wearable; iproxy.online, which turns Android phones into mobile proxy servers; Corsano Health, the maker of CE-MDR and FDA cleared patient-monitoring wearables; and EroPlay.ai, an interactive AI roleplay service for adults, whose MVP the studio built.
It means AI agents do much of the studio's own work: they research, write and test code and review changes, with an engineer responsible for every result. That is how a small studio starts within days and delivers a first working version within a week, and it is what we help clients do in their own processes.
Send a few sentences about the project through the contact form or to hello@s12vlabs.com. We reply within one business day. If the project fits, work starts within days, you see a first working version within a week, and you get a fixed price for what comes next.
How to make AI review useful: show the source beside the proposal, route specific exceptions, plan reviewer capacity and measure errors after approval.
Changed documents, deleted files and revoked access need different handling. How to keep a RAG index current without serving fragments of old revisions.
An agent times out after creating a record. How to retry safely with operation IDs, saved results, bounded retries and a way to resolve uncertain outcomes.
To discuss a project, send us a note. Or email hello@s12vlabs.com.