# Mimos

Aiolum story: https://aiolum.com/story/mimos/ · added 2026-11-05 · updated 2026-11-06

**In short.** Mimos (AI agents for intake and ad-to-case tracking at plaintiff law firms, United States): 5 paying customers in the first month, August 2025. Evidence grade E: no revenue figure was checked. Team: 2 co-founders at the August 2025 launch; Y Combinator lists a team of 2 in November 2026. Launched August 2025; still running.

AI agents for intake and ad-to-case tracking at plaintiff law firms · United States · AI-native · team of 2 to 10 · still running · group: Legal and law firms

- Outcome: 5 paying customers in the first month, August 2025 (evidence grade of the headline number: E; no revenue figure)
- Launch: August 2025; months from launch to the outcome: 0
- Team: 2 co-founders at the August 2025 launch; Y Combinator lists a team of 2 in November 2026
- Outside funding: Y Combinator, Summer 2025 batch; amount not published
- Main factor: Niche
- Meters, 1 to 4: evidence strength 1, copyable pattern 2, capital needed 2
- Tags: AI-native, Small team, Funded, Running, B2B, Legal

Links:

- Visit trymimos.com: https://www.trymimos.com/

**The product.** Software for plaintiff-side law firms, the firms that represent injured or wronged people and are often paid only when a case succeeds. Its agents follow each inquiry from the Google Ads campaign that produced it to the intake call and the signed case, answer and route intake calls under the firm's script, flag declined inquiries for a second look, and gather client facts into a case timeline. The firm approves budget changes and other sensitive actions.

**Why it worked.** Plaintiff firms buy expensive search ads, and the click, the phone call, the intake decision and the signed case live in different systems, so a firm cannot see which campaign produces cases. Language models can now read call transcripts, forms and documents and prepare the next step, which lets a two-person company sell the work that an intake team and an ad agency did by hand. The founders reached this market after two earlier products in their first year.

Evidence grades: A = disclosed by a public company, a filing or a payment processor, or verified by one; B = two or more independent reports agree, or a journalist confirmed it; C = a founder claim that no one else verified; D = reported, not verified: one founder claim or a third-party estimate with no second source; E = no revenue figure found, so the headline is a non-money fact and the other facts carry their own grades; calc = computed on this page from graded facts.

## Summary

Mimos sells AI agents, programs built on a language model that carry out a sequence of steps (read a call, decide a route, draft a follow-up) instead of answering one question, to plaintiff-side law firms. Its central idea is signed-case attribution: linking each signed client back to the ad campaign and keyword that first brought the inquiry, so a firm judges ads by cases won, not by raw leads. The pages say the firm sets the rules and approves each budget or campaign change.

Two co-founders, Rohit (CEO, formerly on Microsoft Azure storage infrastructure) and Michael (CTO, formerly on Amazon Alexa and at Coinbase), launched it in Y Combinator's Summer 2025 batch as answer engine optimization (AEO), the work of getting a company cited in the answers of ChatGPT, Perplexity and Gemini, for regulated firms. Wayback copies show a change in November 2025 to building ChatGPT apps for local businesses, then in April 2026 to AI tools for law firms. Y Combinator's profile in November 2026 calls it "The growth OS for plaintiff-side law firms" and lists a team of 2.

This story has no revenue figure. The only traction number is the founders' own launch post of 15 August 2025, which said they had signed 5 paying customers within one month of launch, for the earlier AEO product. The current site sells only through demo calls and publishes no prices or customer names.

## Pricing

Mimos prices: none published on the current site, read 5 November 2026 (grade C)

| Plan | Per month, billed yearly (US$) | Per month, billed monthly (US$) | Limit |
|---|---|---|---|
| All current products | not published | not published | sold after a demo call |
| Early adopter tier, August 2025 (AEO product) | 0 | 0 | as the August 2025 home page described it |

Every product and use-case page on trymimos.com ends with "Book a Demo" and none gives a price. The August 2025 site, for the earlier AEO product, offered an "Early adopter free tier" with "No commitment required" and "Cancel anytime"; its pricing section was a link that the Wayback copy does not show.

## How much revenue does Mimos make? The numbers, graded

A two-person Y Combinator company that changed its product three times in its first year and now sells AI intake and attribution to plaintiff law firms, with no published revenue

| Fact | Value | Grade | Note | Sources |
|---|---|---|---|---|
| Founded and batch | 2025; Y Combinator Summer 2025 | C | Y Combinator company profile: year_founded 2025, batch Summer 2025, status Active, location New York City. | [1] |
| Founders | Rohit (CEO) and Michael (CTO) | C | Launch post: "We're Rohit and Michael, co-founders of Mimos." The Y Combinator profile in November 2026 shows only Rohit Sirosh, as Founder/CEO. | [1, 2] |
| Team size | 2 people | C | Y Combinator profile, team_size 2. The careers page says "Mimos is a small, founder-led team." | [1, 8] |
| Paying customers, August 2025 | 5, within one month of launch | C | Founders' launch post, 15 August 2025: "Signed 5 paying customers across finance, proptech, and wealth management". This was the AEO product, before the change to law firms. | [2] |
| Early result claimed for the AEO product | 2 times higher AI citation rates than baseline content | C | Founders' launch post. No method or customer is given. | [2] |
| Current product | growth, intake and case-development agents for plaintiff-side firms | C | Y Combinator profile: "Our agents manage Google Ads, Local Services Ads, Google Business Profile". The site's platform page: "Agents handle the repetitive work. Your team stays in control." | [1, 3, 4] |
| Voice intake | answers calls under firm-approved scripts, with warm transfers and full transcripts | C | Voice Intake page: "Answer every call with the right intake policy." The page does not say whether callers are told that they speak with software. | [5] |
| Human approval | required for budget and campaign changes | C | Growth Optimization page: "Your team approves every budget and campaign change." | [6] |
| Prices | not published | C | Demo calls only on every page read on 5 November 2026. | [3, 4, 5, 6] |
| Earlier products | AEO (August 2025), ChatGPT apps for local businesses (November 2025), legal intelligence (April 2026) | C | Wayback copies of mimos-ai.com and trymimos.com. | [9, 10, 11] |
| Months from launch to the headline | 0 | calc | Calculated: the launch post and the customer count are both from August 2025. The post does not date the product launch itself. | [2] |

How to read this table: grade C is what the founders wrote in their launch post, what the company writes on its own pages, or what Y Combinator's company profile lists. A "calc" value was computed on this page. No value is grade A or B, and there is no money figure.

## When did Mimos launch, and how did it grow? Timeline

From answer engine optimization to law-firm intake in about fifteen months, with three different home pages on the way. Each entry carries its grade.

- **15 August 2025** (grade C [2]): Launch post on Y Combinator: "Answer Engine Optimization for regulated companies". The founders report 5 paying customers within one month of launch and ask for introductions to marketing chiefs in finance, pharma, legal and telehealth.
- **26 August 2025** (grade C [9]): The site mimos-ai.com offers to get regulated firms "discovered on ChatGPT, Perplexity and other AI platforms", with an "AI-native compliance engine" that flags issues before publishing.
- **30 November 2025** (grade C [10]): The site, now trymimos.com, sells a different product: "Get a ChatGPT App for Your Business", built, hosted and published by Mimos for gyms, salons, clinics and law firms.
- **13 April 2026** (grade C [11]): The site becomes "Adaptive Legal Intelligence": intake guidance for after-hours calls, ad-to-retainer attribution, email drafting that learns from attorneys' edits, and client timeline interviews.
- **November 2026** (grade C [1, 3]): Y Combinator profile and site describe "The growth OS for plaintiff-side law firms": growth optimization, intake operations, revenue recovery and case development, sold by demo.

## Why did Mimos work?

### Measure ads by signed cases

Most lead tools count inquiries. Mimos ties each retained client back to its campaign and keyword and returns that outcome to Google as a bidding signal, so the firm's ad budget follows cases, not calls.

### One system from click to case

The same product covers the ad, the intake call, the second review of declined inquiries and the gathering of case facts. Each step feeds the next, which is the reason the founders give for not selling separate tools.

### Supervised agents

Every page repeats that the firm writes the rules and approves sensitive steps. For a profession with strict duties to clients, this is a sales argument as much as a safety feature.

## How it was built

These details come from the company's own pages, the founders' launch post and Y Combinator's profile. They are grade C. No page names the AI model or provider.

- The platform connects to Google Ads, phone and call routing, SMS, email (Outlook), Slack, Microsoft Teams and the firm's case systems, according to its own pages.
- Voice intake follows a firm-specific script, escalates urgent or qualified calls with a warm transfer, and stores the transcript and a summary.
- Agent permissions are set per firm or per portfolio of firms, for management service organizations (MSOs) that run several practices.
- The founders' backgrounds are cloud infrastructure: Azure storage for OpenAI's training workloads (Rohit) and Alexa AI and Coinbase data infrastructure (Michael), according to the launch post.
- The current site is a Next.js application.

Sources: [4, 5, 1, 2, 3]

## Who tried this before Mimos, and why did they fail?

Three companies in our database of failed startups promised to automate work for lawyers and failed. The values below are from that database and are not independently verified.

The failed startups come from our database of dead startups, retold here in our own words; Its entries are AI-assisted summaries of public sources, so they carry no evidence grade.

### Atrium (2017 to 2021; funding US$75M; cause: Product/Tech Failure)

- Promise: Legal work for startups made faster and cheaper by software inside a law firm.
- Why it died: The automation could not handle real legal complexity, so costs stayed like a traditional firm's.
- Record: 

### ROSS Intelligence (2015 to 2018; funding US$13M; cause: Competition)

- Promise: AI legal research that finds the relevant case law for lawyers.
- Why it died: Lawyers stayed with Westlaw and LexisNexis, sales cycles were long and investors stopped funding.
- Record: 

### jEugene (2015 to 2018; funding US$120K; cause: Competition)

- Promise: Software that finds errors and inconsistencies in contracts, sold to law firms on demand.
- Why it died: Rivals with stronger AI moved faster, law firms bought slowly, and the money ran out.
- Record: 

## What changed

All three sold a better way to do the legal work itself, research, drafting or review, and met lawyers who were slow to change and incumbents who owned the data. Mimos sells to the business side of the firm instead: ads, phone intake and follow-up, where the result is a count of signed cases that a managing partner can see each month.

The other difference is cost. ROSS and Atrium built their own language technology with millions of dollars. Mimos can rent a general language model and spend its effort on connections to Google Ads, phones and case systems, which a two-person team can build.

## Can one person copy Mimos now?

**Verdict: Possible for a small technical team, with a long route to the right market.**

The method is to pick one profession that buys expensive ads, connect the ad account to the outcome that the profession is paid for, and put supervised agents on the steps in between. The Mimos history also shows the cost: three products in about fifteen months before this one, and Y Combinator support while searching.

1. Choose a buyer whose revenue per customer is high and whose ad spend is large, so better attribution is worth paying for.
2. Connect the ad platform to the final outcome (a signed case, a booked job), not to the lead.
3. Add agents for the manual steps between lead and outcome, with human approval for anything sensitive.
4. Sell by demo and start each customer with one workflow.

**What is still open.** The same structure fits other professions that buy search ads and win customers by phone: home services, dental and medical practices outside the clinical work, immigration and family law.

## What could go wrong for Mimos?

- **What is not verified.** No revenue figure was found. The only traction number, 5 paying customers within one month, is the founders' own claim in their Y Combinator launch post of 15 August 2025, and it describes the earlier AEO product, not the law-firm product. No payment-processor profile, customer case study, press article or later founder interview was found. A reader could look for named law-firm customers, a Y Combinator Demo Day figure or a later interview.
- **Three changes of product.** Wayback copies show AEO for regulated firms in August 2025, a build-and-host ChatGPT app service for local businesses in November 2025, and legal intelligence in April 2026, before the current growth platform. The November 2025 offer was a done-for-you build service; the current site sells software.
- **Sample figures and calls.** The home page lists a sample dashboard (US$42,000 of Google Ads spend, 31 qualified inquiries, 7 retained cases in 30 days), and the April 2026 page showed a sample caller with a 555 phone number. These look like product illustrations, not customer results. The Voice Intake page does not say whether callers are told that they are speaking with software.
- **Dependence on platforms and model providers.** The product depends on Google Ads, Local Services Ads and Google Business Profile, which the Y Combinator profile names as the channels its agents manage. No page names the language model or speech provider that Mimos uses, so the dependence on one model provider cannot be judged. The founding team: Rohit is the only founder on the Y Combinator profile in November 2026, while the launch post named two co-founders.
- **Competition.** On this site, VoxNow sells a narrower AI voicemail service to Belgian law firms, and Rank Prompt and Promptmonitor sell the AEO tracking that Mimos started with; Mimos is the only one that ties ads to signed cases.

## Sources

1. Y Combinator company profile: Mimos, The growth OS for plaintiff-side law firms — https://www.ycombinator.com/companies/mimos (grade C). Read in full on 5 November 2026, from the profile data in the page. Source for the batch, founding year, team size, location, founder and the current product description.
2. Y Combinator Launches, 15 August 2025: Mimos - Answer Engine Optimization for regulated companies — https://www.ycombinator.com/launches/OCV-mimos-answer-engine-optimization-for-regulated-companies (grade C). Read in full. The founders' launch post. Source for the 5 paying customers, the citation-rate claim and the founders' backgrounds.
3. Mimos home page: Find, sign, and develop better cases — https://www.trymimos.com/ (grade C). Read in full on 5 November 2026. Source for the product structure and the sample dashboard.
4. Mimos Platform page — https://www.trymimos.com/platform (grade C). Read in full. Source for the agent workflow, approvals and integrations.
5. Mimos Voice Intake page — https://www.trymimos.com/use-cases/voice-intake (grade C). Read in full. Source for call handling, warm transfers and transcripts.
6. Mimos Growth Optimization page — https://www.trymimos.com/products/growth-optimization (grade C). Read in full. Source for signed-case attribution and the approval of budget changes.
7. About Mimos — https://www.trymimos.com/about (grade C). Read in full. Source for the company's description of plaintiff firms' problem and its supervised-agent approach.
8. Careers at Mimos — https://www.trymimos.com/careers (grade C). Read in full. Source for "a small, founder-led team".
9. Wayback Machine copy of mimos-ai.com, 26 August 2025 — https://web.archive.org/web/20250826001435/https://www.mimos-ai.com/ (grade C). Read in full. Source for the first AEO product and the early adopter free tier.
10. Wayback Machine copy of trymimos.com, 30 November 2025 — https://web.archive.org/web/20251130000523/https://www.trymimos.com/ (grade C). Read in full. Source for the ChatGPT app service.
11. Wayback Machine copy of trymimos.com, 13 April 2026 — https://web.archive.org/web/20260413180344/https://trymimos.com/ (grade C). Read in full. Source for the Adaptive Legal Intelligence product.
12. Database of failed startups, local export — /method/#dead (grade C). Local export. AI-written summaries, not independently verified. Source for the failed predecessors.

Contact: aiolum@livyden.com. Run Mimos? Send corrections or a verified figure to aiolum@livyden.com (subject: Correction: Mimos).