The Company

Mediar, the company: a two-person AI lab in San Francisco shipping enterprise desktop automation on top of its own open-source Rust SDK.

The product side of Mediar gets covered constantly: AI watches a Windows workflow, replays it, no APIs needed. This page is about the company underneath that pitch. Who founded it, where the code actually lives, who is paying for it, and why a pre-seed startup is in production at LG Electronics while UiPath and Automation Anywhere have orders of magnitude more capital and headcount.

M
Matthew Diakonov
9 min

First, four companies share a name

Type "mediar" into a search box and you will get back at least four companies, only one of which is the subject of this page. The biggest source of confusion online is MediaRadar, the ad-intelligence tool, which often shows up first because it has been around for fifteen years and spends real money on content. The two biotech and retail-analytics namesakes are smaller but old enough to have built Wikipedia-shaped surface area.

For the rest of this page, "Mediar" means Mediar.ai, Inc., the AI desktop automation company at mediar.ai.

Mediar.ai, Inc.

This page. AI desktop automation for Windows. Incorporated in Delaware, headquartered at 945 Market St, Ste 501, San Francisco, CA 94103. Founded mid-2024. Pre-seed, backed by Founders Inc and Seed Club Ventures.

MediaRadar

Ad sales intelligence platform owned by Vivvix. Tracks brand spending across TV, print, and digital. Sells to advertising and media sales teams. No relationship to Mediar.

Mediar Therapeutics

Boston biotech developing antibodies that target the WISP1 protein for fibrotic diseases. Series A in 2023 led by Novartis Venture Fund. No relationship to Mediar.

Mediar Solutions

Brazilian retail intelligence company doing in-store traffic analytics with cameras and Wi-Fi sensors. Acquired by ShopperTrak years ago. No relationship to Mediar.

The origin: it didn't start as RPA

The founders did not set out to build a UiPath competitor. The original product was Screenpipe, an open-source desktop intelligence tool Louis shipped in 2023. Screenpipe ran locally on a Mac or Windows machine, captured everything on the screen, OCR'd it, and exposed the result to LLMs as long-running context. Think of it as a personal memory layer for a knowledge worker.

It worked, and it found an audience of developers, but it never settled on a wedge that could carry a company. The breakthrough came from inbound: by mid-2024, several startups (including a few from the Y Combinator network) were asking the same question, which was "can we use the OS-level capture as the backend for our AI operators?" Instead of giving the capture away as a library, the founders wrapped it in an enterprise product and pointed it at the messiest recurring business problem a desktop agent can solve: workflow automation in legacy Windows apps.

That product is Mediar. The capture and execution layer that grew out of Screenpipe got renamed and re-released as terminator-rs, which is the MIT-licensed Rust SDK the commercial product depends on. Same code anyone can read on GitHub.

The timeline at a glance

The whole arc, from the open-source predecessor to a Windows desktop running unattended at a Fortune 500 manufacturer, fits on five labels.

  1. 2023

    Screenpipe ships as an open-source desktop intelligence tool that records everything on your screen.

  2. Mid-2024

    Founders pivot into commercial enterprise workflow automation. Mediar.ai, Inc. launches.

  3. Late 2024

    First paid turn-key programs run. Pre-seed checks land from Founders Inc and Seed Club Ventures.

  4. 2025

    Core executor renamed and re-released as terminator-rs on github.com/mediar-ai/terminator under MIT.

  5. 2026

    LG Electronics live in production. Multiple turn-key programs in flight across SAP, banking, and healthcare.

What is open and what is commercial

The interesting structural thing about the company is that the executor underneath the commercial product is a regular Cargo dependency, not a proprietary blob. If you open the Cargo.lock for Mediar's production desktop monorepo you will see this entry verbatim:

[[package]]
name = "terminator-rs"
version = "0.24.31"
dependencies = [...]

That crate, plus the recorder and computer-use crates that sit alongside it, is what does the actual UI Automation work, the focus restoration cascade, and the element lookup at replay. It is published under MIT at github.com/mediar-ai/terminator. Anyone can vendor it, fork it, or build a competing product on top of it without paying Mediar a cent. That is intentional. The defensibility lives in the layers above.

Open source

  • terminator-rs Rust SDK (currently v0.24.31, MIT licensed) — the actual UI Automation calls, focus restoration, and element search the desktop agent uses at replay time
  • terminator-workflow-recorder crate — captures keyboard, mouse, and accessibility tree snapshots from any Windows desktop
  • terminator-computer-use crate — the agent-loop primitives that let an LLM drive a Windows session
  • TypeScript and Python bindings published to npm and PyPI under @mediar-ai
  • Showcase repos: a Tauri-based desktop recorder, a Chrome bridge extension, sample workflows for SAP and Excel

Commercial, closed

  • The four-stage cloud processing pipeline that turns recorded sessions into replayable workflows
  • The no-code workflow builder at app.mediar.ai/web (the surface where customers edit and schedule runs)
  • The orchestration backend that handles credit accounting, multi-tenant isolation, audit logs, and HIPAA-grade access controls
  • The customer-specific workflow library accumulated across paid programs (SAP order-to-cash, FNOL routing, Jack Henry sync, and others)
  • The turn-key delivery process and the prompts behind step analysis, labeling, synthesis, and generation

The split tells you what the founders think the company is actually selling. It is not the act of clicking a button on a Windows desktop. It is the recording-to-replay pipeline, the prompt library that turns raw events into semantic intent, the orchestration that runs thousands of those workflows reliably, and the people who get on the phone when something breaks at 2am.

Both founders write production code. Turn-key program customers get their phone numbers and text or call them directly; there is no support tier system or ticketing layer. That is workable at the current customer count and is one of the reasons the company is selling its first hundred customers itself rather than building a sales org.

LG

The largest production customer to date is LG Electronics. Mediar is engaged in multiple paid turn-key programs of various sizes.

Mediar turn-key FAQ, mediar.ai/turnkey

Why a pre-seed startup is competing with a $10B incumbent

UiPath has a market cap measured in the tens of billions and thousands of certified developers in its partner network. Mediar has two founders and a Cap Table you could fit on a napkin. The honest answer to why this comparison even makes sense in 2026 is that the substrate changed.

The big RPA vendors were built in an era where the only way to make a Windows desktop scriptable was to record DOM-style selectors and replay them deterministically. That worked, but it produced a stack that takes months to deploy, costs six figures up front, requires certified developers, and breaks every time a vendor ships a UI refresh. The maintenance treadmill on a single SAP screen change is the thing that quietly bleeds RPA programs to death.

Two things changed under that stack. First, Windows UI Automation has been quietly improving for fifteen years and now exposes most line-of-business apps cleanly enough to drive them through accessibility APIs alone. Second, LLMs got reliable enough to convert a recorded session into a structured intent record without a human in the loop. Together those two shifts mean a small team can build a more reliable executor than the incumbents shipped, in less time, at a fraction of the cost.

The market hasn't repriced yet. Most enterprise buyers still budget RPA at the UiPath line item. That gap, between what desktop automation costs to deliver in 2026 and what enterprises still pay for it, is the opening Mediar is running through. It is the reason the company can sell a turn-key program for $10K to a customer that was about to sign a $200K UiPath renewal.

What kind of company this is, in shape

Calling Mediar "a startup" is accurate but loses the texture. Three details that matter if you are evaluating the company as a vendor.

First, it is engineering-heavy. Both founders write production code. There are no AEs, no dedicated CSMs, and the demos are run by the people who built the thing being demoed. If you ask a hard technical question on a sales call, you get a real answer or a real "we haven't solved that yet."

Second, it is intentionally close to revenue. The turn-key program exists because the founders would rather earn $10K from a customer in week one than spend a year burning a seed round on marketing. That posture has consequences: the product is shaped by the workflows the first 30 customers actually need, not by what a PM thinks an enterprise might want.

Third, it is open in a meaningful way. The executor at the bottom of the stack is on GitHub under MIT. You can read the implementation of the four-strategy focus restoration cascade and decide for yourself if it works. You can use it without paying Mediar. Most vendors in this category either keep their core proprietary or cosplay openness through a community edition. Mediar publishes the actual crate the production product ships against.

Want the founders on a call?

Pick a 30-minute slot with Louis or Matthew. No SDR routing, no demo theater. Bring a real workflow and we will scope what it would take to put it in production.

Frequently asked questions

Who is Mediar the company?

Mediar is Mediar.ai, Inc., a Delaware C-corp headquartered at 945 Market St, Ste 501, Floor 5, San Francisco, CA 94103. It was founded in mid-2024 by Louis Beaumont and Matthew Diakonov and builds AI desktop automation for Windows. The company is pre-seed and backed by Founders Inc and Seed Club Ventures. Largest production customer to date is LG Electronics. The website is mediar.ai and the open-source executor lives at github.com/mediar-ai/terminator.

Is Mediar the same as MediaRadar, Mediar Therapeutics, or Mediar Solutions?

No, those are three separate companies that share a similar name. MediaRadar (one word, capital R) is an ad sales intelligence tool owned by Vivvix. Mediar Therapeutics is a Boston biotech working on WISP1 antibodies. Mediar Solutions is a Brazilian retail analytics company that was acquired by ShopperTrak. None of them have any relationship to Mediar.ai, Inc., the desktop automation company described on this page.

How is Mediar funded?

Pre-seed. The lead investors are Founders Inc and Seed Club Ventures. Mediar has not announced a priced round publicly. The company is intentionally lean and runs the turn-key program model partly to stay close to revenue rather than burning down a war chest. Customers pay a $10K program fee that converts into usage credits at $0.75 per minute of executed workflow time.

Where did the company come from?

The original product was Screenpipe, an open-source desktop intelligence tool the founders shipped in 2023. It captured screen activity locally and exposed it to LLMs as context. It got significant traction with developers but never converged on a commercial wedge. In mid-2024 the founders started talking to startups (including a few Y Combinator companies) that needed a backend for their AI operators. Instead of giving the OS-level capture away as a library, they wrapped it in an enterprise product and pointed it at workflow automation. That product is Mediar.

Is Mediar open source?

Partially, in a way that matters. The actual executor underneath the desktop agent is published as terminator-rs on github.com/mediar-ai/terminator under MIT. Any developer can vendor it directly, fork it, or build a competing product on top without paying Mediar a license fee. The pieces that are NOT open are the four-stage cloud processing pipeline, the no-code workflow builder at app.mediar.ai, the orchestration and audit layer, and the customer-specific workflow library. The defensibility is in the data pipeline and ops layer, not in keeping the executor secret.

Who are the founders?

Louis Beaumont (CEO) and Matthew Diakonov (CTO). Louis is a French-British operator who built Screenpipe and has an active GitHub presence as louis030195. Matthew is the engineer behind the Tauri desktop agent and the Rust executor. Both are based in San Francisco. Turn-key program customers get their phone numbers; support is direct, not ticketed.

Who are Mediar's customers?

The largest publicly disclosed production customer is LG Electronics. The full customer base spans manufacturing, insurance, banking, healthcare, retail, and distribution, and most of them are mid-market. The case studies on mediar.ai cover an Imperial Treasure Restaurant deployment and an RPA-consultant practice that migrated client workloads from UiPath. The company is intentionally not chasing logo-trophy enterprise deals at this stage; the turn-key program is sized for teams that want a working automation in weeks.

Why is the company competing with UiPath, Power Automate, and Automation Anywhere on a pre-seed budget?

Because the substrate changed. UiPath and Automation Anywhere were built when the only way to make a Windows desktop scriptable was to record selectors and replay them deterministically. That stack is large, expensive, and brittle. The combination of high-quality LLMs and the Windows UI Automation tree means a small team can build a more reliable executor than the incumbents shipped. The market hasn't repriced yet, which is the opening Mediar is running through.

How do you actually start working with Mediar?

Two paths. If you want to evaluate the technology yourself, install the desktop agent from mediar.ai and try a recording, or pull terminator-rs straight from GitHub and build against it. If you want a working production automation, book a turn-key call. The standard program is three months at $10K (which converts to credits) and includes workflow discovery, the build, change management, and a production cutover. Most teams see their first end-to-end recorded workflow inside week one.