# S12V Labs

> AI product studio in Cheyenne, Wyoming. We build AI agents, custom AI apps and integrations for US and EU startups and SMBs, as a technology partner.

## Key facts

- What: an AI product studio. Services: ai agents and automation; custom ai apps and mvps; ai consulting and strategy; telecom and messaging ai; wearables and health tech.
- Who: a small studio that has worked with CardioMood, bilz.ai, iproxy.online and Corsano Health as a technology partner.
- Clients: startups and small businesses in the United States and the European Union. Work is remote.
- Legal entity: S12V Labs LLC, Cheyenne, Wyoming 82001, United States.
- Contact: hello@s12vlabs.com or https://s12vlabs.com/contact/. Replies within one business day.
- How we work: a one-week discovery with a fixed scope and price; an evaluation on real data before anything with a model is built; weekly increments; all code, prompts and evaluation sets in the client's repository.

## Services

- [AI agents and automation](https://s12vlabs.com/services/ai-agents-automation/): 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.
- [Custom AI apps and MVPs](https://s12vlabs.com/services/custom-ai-apps/): Web and mobile products with AI inside, from a one-week discovery to a launched app on a stack your team can run, with a fixed scope and price.
- [AI consulting and strategy](https://s12vlabs.com/services/ai-consulting/): Help deciding where AI pays off in your business, which models and vendors to use and what to build first, from a studio that runs its own AI products.
- [Telecom and messaging AI](https://s12vlabs.com/services/telecom-messaging-ai/): AI for SMS, voice and messaging platforms: traffic classification, abuse detection, support agents and provisioning automation, from people who ran the systems.
- [Wearables and health tech](https://s12vlabs.com/services/wearables-health-tech/): Apps, data platforms and analytics on medical-grade wearable data, from the technology partner of CardioMood and Corsano Health.

## Work

- [bilz.ai (technology partner)](https://s12vlabs.com/work/bilz-ai/): An AI back office for European restaurants that tracks food cost, supplier invoices, recipes, stock and profit. We worked with it as technology partner.
- [CardioMood (technology partner)](https://s12vlabs.com/work/cardiomood/): A physiological early-warning system for executive coaching with continuous medical-grade stress, recovery and performance data. We built the platform and apps.
- [Corsano Health (technology partner)](https://s12vlabs.com/work/corsano-health/): Medical-grade wearables for continuous patient monitoring in hospitals, at home after discharge and in clinical research. S12V Labs is a technology partner.
- [iproxy.online (technology partner)](https://s12vlabs.com/work/iproxy-online/): 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.

## Articles

- [Keeping a fleet of wearables synced through phones that want to sleep](https://s12vlabs.com/blog/background-sync-for-a-wearable-fleet/): BLE reconnection, iOS background modes and Android Doze, device buffering, idempotent uploads, clock drift, and fleet monitoring that catches a quiet device.
- [Building an evaluation set from past cases, and keeping it alive](https://s12vlabs.com/blog/building-an-evaluation-set-from-past-cases/): How we build and keep an evaluation set for an LLM feature: choosing cases, labelling with the people who do the job, size, and growing it from production.
- [Classifying messages at line rate](https://s12vlabs.com/blog/classifying-messages-at-line-rate/): Putting a classifier inline in a messaging platform: the millisecond budget, small models on your own traffic, the uncertain tail, fail-open versus fail-closed.
- [Computing a personal HRV baseline that a coach can act on](https://s12vlabs.com/blog/computing-a-personal-hrv-baseline/): Why population norms fail for HRV, how to choose the night-time window, how many nights a baseline needs, what to exclude, and how a deviation becomes an alert.
- [Consent and access logs in a health platform](https://s12vlabs.com/blog/consent-and-access-logs-in-a-health-platform/): Consent as a versioned record, roles for client, coach, clinic and admin, an access log the user can read, deletion that reaches backups, and audit trails.
- [Five POS integrations and one definition of a sale](https://s12vlabs.com/blog/five-pos-integrations-and-one-definition-of-a-sale/): What integrating Toast, Square, Clover, Lightspeed and Syrve taught us about tokens, backfill, what counts as a sale, time zones and reconciliation.
- [How a mobile proxy on an Android phone rotates its IP](https://s12vlabs.com/blog/how-a-mobile-proxy-on-an-android-phone-rotates-its-ip/): Carrier-grade NAT, how an Android phone gets a new public address, scheduled and remote rotation, sticky sessions, and serving proxy and VPN traffic from it.
- [How this site is built, from Markdown to a Cloudflare Worker](https://s12vlabs.com/blog/how-this-site-is-built/): Astro pages served as Worker assets, validated content, a build audit, a generated sitemap and llms.txt, a hashed CSP and a deploy that tells IndexNow.
- [Matching invoice lines to inventory items is harder than reading them](https://s12vlabs.com/blog/matching-invoice-lines-to-inventory-items/): Why matching invoice lines to inventory items is harder than reading them: supplier naming, pack sizes, candidates, scoring, thresholds and corrections.
- [Reading supplier invoices with an LLM, from photo to structured lines](https://s12vlabs.com/blog/reading-supplier-invoices-with-an-llm/): The pipeline from a photographed or PDF invoice to structured lines: capture, pages, vision versus OCR, the schema, citations and accuracy per field.
- [How to put an AI agent inside a workflow you already run](https://s12vlabs.com/blog/ai-agent-in-an-existing-workflow/): Pick the workflow by its exceptions, build an evaluation set from past cases, run in shadow mode, widen permissions slowly, and what goes wrong.
- [Where LLMs fit in SMS, voice and messaging platforms](https://s12vlabs.com/blog/llm-integration-for-telecom-and-messaging/): Traffic classification, abuse detection, support agents and provisioning in messaging platforms, and how latency and volume decide which model goes where.
- [One person with AI agents can build what used to take a department](https://s12vlabs.com/blog/one-person-with-ai-agents/): Why one person who writes code and runs agents can now ship products that needed a team of ten, what still needs people, and how S12V Labs is set up around it.
- [What an AI MVP costs in 2026, and where the money goes](https://s12vlabs.com/blog/what-an-ai-mvp-costs-in-2026/): Ranges for an AI MVP in 2026, in weeks and tens of thousands of dollars, where the budget goes, what to cut and what you cannot cut.
- [What medical-grade wearable data means for the app you build on it](https://s12vlabs.com/blog/what-medical-grade-wearable-data-means-for-app-builders/): What CE-MDR and FDA clearance change versus consumer wearables, what continuous HRV, blood pressure and sleep data look like in practice, and what to build.

## Other pages

- [About](https://s12vlabs.com/about/): the company and how we work.
- [Contact](https://s12vlabs.com/contact/): the inquiry form.
- [Privacy](https://s12vlabs.com/privacy/) and [Terms](https://s12vlabs.com/terms/).
- Full text of every page: https://s12vlabs.com/llms-full.txt
- Sitemap: https://s12vlabs.com/sitemap.xml