# RealtyOps

Aiolum story: https://aiolum.com/story/realtyops/ · added 2026-10-27 · updated 2026-10-27

**In short.** RealtyOps (AI assistant for real estate brokerages and condominium and homeowners associations that answers from their own documents, reviews contracts, tracks deadlines and fills Florida purchase forms, USA (Florida)): US$29.6K in verified revenue since launch, October 2026. Evidence grade A: disclosed by a company or a filing, or verified by a payment processor. Team: 1 named founder, Caio Pimenta (TrustMRR only); team of 2 to 5 people according to the founder-entered TrustMRR profile. Launched August 2025; still running, revenue falling.

AI assistant for real estate brokerages and condominium and homeowners associations that answers from their own documents, reviews contracts, tracks deadlines and fills Florida purchase forms · USA (Florida) · AI-native · team of 2 to 10 · still running, revenue falling · group: Real estate and architecture visuals

- Outcome: US$29.6K in verified revenue since launch, October 2026 (evidence grade of the headline number: A; headline in US dollars: 29635)
- Launch: August 2025; months from launch to the outcome: 14
- Team: 1 named founder, Caio Pimenta (TrustMRR only); team of 2 to 5 people according to the founder-entered TrustMRR profile
- Outside funding: Bootstrapped, according to the founder-entered TrustMRR profile; no source names investors
- Main factor: Niche
- Meters, 1 to 4: evidence strength 3, copyable pattern 2, capital needed 1
- Tags: AI-native, Small team, Bootstrapped, Running, B2B, Real estate

**The product.** A real estate brokerage, or the board of a condominium or homeowners association, uploads its own documents: contracts, rules, bylaws, office procedures. Agents, board members and owners then ask questions in plain English and get answers that cite the document. For brokerages it also reads an executed contract, lists the deadlines with page numbers and reminds the right person before each one, and fills a Florida purchase contract from the terms an agent types. Plans cost US$29 to US$795 a month, with 100 free credits to start.

**Why it worked.** It picked one narrow market, Florida brokerages and condominium associations, where the work is reading long documents and keeping dates, and built the forms and deadlines of that market into the product. The money comes from very few customers: TrustMRR shows one active subscription at US$895 a month, plus four larger payments from January to April 2026 that make up almost half of all revenue.

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; calc = computed on this page from graded facts.

## Summary

RealtyOps sells an AI assistant to two kinds of real estate customers. The first is a brokerage, the licensed office under which real estate agents work. The second is a HOA or COA, a homeowners or condominium owners association, whose volunteer board enforces a long set of rules and answers owners' questions. Both upload their own documents, and the assistant answers from them. The terms describe the method as retrieval augmented generation (RAG): the system first finds the passages of the customer's documents that match a question and then gives them to a language model, so that the answer rests on those passages and not only on the model's general knowledge.

The operating company is B.A.M.S. For Real Estate LLC, a Florida limited liability company doing business as RealtyOps. TrustMRR names one founder, Caio Pimenta, and gives 15 August 2025 as the founded date. TrustMRR reads the company's payments from Stripe, the payment processor, through an API key, so the figures are not screenshots. On 27 October 2026 it showed US$29,635 of payments since launch and MRR (monthly recurring revenue, in which every active subscription counts at its monthly value) of US$895 from one active subscription.

This page grades every number by its evidence. The revenue figures are grade A because they come from Stripe through TrustMRR. The product, the prices and the two named customers come from the company's own pages. The page also shows four failed companies that sold contract or property-management software, and it lists what is uncertain: what the large payments of early 2026 bought, whether the revenue depends on one customer, and who the people behind the testimonials are.

## Pricing

RealtyOps plans for brokerages, read on the company's pricing page on 27 October 2026 (grade C)

| Plan | Per month, billed yearly (US$) | Per month, billed monthly (US$) | Limit |
|---|---|---|---|
| Free | 0 | 0 | 100 credits, no credit card |
| Solo | not published | 29 | 1,000 credits a month, one user |
| Starter | not published | 295 | 1,500 credits a month, unlimited team members, training course library |
| Growth | not published | 595 | 4,000 credits a month, custom AI prompts, priority support |
| Professional | not published | 795 | 10,000 credits a month, custom branding |
| Enterprise | custom | custom | Custom credit volume, custom-trained AI models, API access, SSO |

The page shows monthly prices only; no yearly price is published, so the yearly column says so. Every paid plan starts with a 14-day trial, and a free account gets 100 credits without a card. A credit is the company's own unit of AI use; the page does not say how many credits one answer or one contract review takes. The plans for associations are on a second tab that loads by script and could not be read. The page description says "Starting at $295/mo", although the Solo plan costs US$29. Separately, vendors such as inspectors or lenders pay US$150 a month per brokerage, with a 3-month minimum, for a sponsored card inside that brokerage's toolbox.

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

US$29,635 of Stripe-verified payments in 14 months from a narrow AI product for Florida brokerages and condominium associations, with one active subscription in October 2026

| Fact | Value | Grade | Note | Sources |
|---|---|---|---|---|
| Verified revenue since launch, to 27 October 2026 | US$29,635 | A | TrustMRR, revenue last synced on 27 October 2026 at 06:03 UTC through a Stripe API key. On 16 October 2026 Agent Money List, which copies TrustMRR, showed US$28,740; the difference is one payment of US$895 on 21 October. | [1, 9] |
| Revenue in the last 12 months, to 27 October 2026 | US$24,345 | A | TrustMRR. Calculated: US$5,290 of the total came before that 12-month window, between the founded date and late October 2025. | [1] |
| Revenue by month, October 2025 to October 2026 | US$895 in each of October, November and December 2025; January 2026 US$5,395; February US$5,895; March US$1,395; April US$5,395; no payments in May and June; US$895 in each of July, August, September and October | A | TrustMRR monthly timeline. The timeline has no rows for May and June 2026, and the last 6 months total US$3,580, which is four payments of US$895. | [1] |
| Monthly recurring revenue (MRR), 27 October 2026 | US$895 from 1 active subscription | A | TrustMRR metric snapshot. MRR growth over the last 30 days: 0.0%. US$895 is more than the highest listed plan, Professional at US$795, so it is probably a custom or Enterprise price; no source says so. | [1, 3] |
| Payments above the US$895 monthly pattern | US$14,500, from January to April 2026 | calc | Calculated from the monthly timeline: US$4,500 in January, US$5,000 in February, US$500 in March and US$4,500 in April. That is 48.9% of all revenue. No source says what these payments were for. | [1] |
| Payment processor | Stripe, read by API key; RealtyOps is not using a merchant of record | A | TrustMRR verification section. The vendor page also says placements are paid "through Stripe". | [1, 7] |
| Founder | Caio Pimenta, X account with 715 followers | C | Named only on the TrustMRR profile. The company's website and terms name no person, and its About page link returns a 404 error. | [1, 2] |
| Company | B.A.M.S. For Real Estate LLC, a Florida limited liability company doing business as RealtyOps | C | Stated in the Master Subscription Agreement and Terms of Service, which choose Florida law. | [5] |
| Team and funding | 2 to 5 people; bootstrapped | C | Both entered by the founder on the TrustMRR profile. Agent Money List labels the operator "Existing business, Solopreneur", which is its own estimate. | [1, 9] |
| Founded | 15 August 2025 | C | TrustMRR profile. | [1] |
| Customers named on the site | Starlink Realty, a Florida brokerage with 83 agents and staff on the platform; Matera Condo Association, on RealtyOps since February 2026 | C | Home page, "Two Florida customers, 90 days in". The brokerage figures are given as "Figures from the broker's own 90-day review": 9 to 10 hours a week back for the broker, 90% of repeat agent questions stopped, and 94% of platform cost offset by vendor placements. | [2] |
| Estimated users | 80 | C | Estimated user count entered on the TrustMRR profile. Not a payment figure. | [1] |
| Price range | US$29 to US$795 a month, Enterprise custom | C | Pricing page, read 27 October 2026. | [3] |
| Vendor placements | US$150 a month per brokerage, 3-month minimum | C | Vendor page: "A placement is advertising. RealtyOps does not pay brokerages or agents for placing you, and you do not pay them." | [7] |
| AI provider | Anthropic | C | Privacy policy: "Third-party AI providers (such as Anthropic) may process your data according to their privacy policies". | [6] |
| Blog | 200 posts from 27 February to 21 August 2026 | B | Counted in the site's sitemap: 27 posts are dated 27 February 2026, then about one a day. One post of 27 February 2026 is titled "Why Your Brokerage Needs an AI Assistant in 2024". | [10, 8] |
| Time from founding to the October 2026 figure | 14 months | calc | Calculated: August 2025 to October 2026. | [1] |

How to read this table: a grade A value was read by TrustMRR from the company's Stripe account through an API key. A grade B value is visible in the public page source. A grade C value was written by the company on its website, in its terms or in its TrustMRR profile. A "calc" value was computed on this page from the rows above it.

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

From a founded date of 15 August 2025 to US$29,635 of payments by 27 October 2026. Each entry carries its grade.

- **15 August 2025** (grade C [1]): Founded date on the TrustMRR profile.
- **August to October 2025** (grade calc [1]): US$5,290 of payments before the start of TrustMRR's 12-month window (calculated).
- **October to December 2025** (grade A [1]): One payment of US$895 a month.
- **January and February 2026** (grade A [1, 2]): US$5,395 and US$5,895 of payments, the two best months. Matera Condo Association starts on RealtyOps in February, according to the home page.
- **27 February 2026** (grade B [10, 8]): The blog starts with 27 posts in one day, then about one post a day until 21 August 2026.
- **March and April 2026** (grade A [1]): US$1,395 and US$5,395 of payments.
- **May and June 2026** (grade A [1]): No payments recorded.
- **July to October 2026** (grade A [1]): One payment of US$895 a month again.
- **27 October 2026** (grade A [1, 3]): US$29,635 of payments since launch and one active subscription at US$895 a month. The pricing page lists plans from US$29 to US$795 a month.

## Why did RealtyOps work?

### Answers from the customer's own documents

A brokerage's escrow rules or an association's rules on pets and rentals are written in long documents that few people read. RealtyOps indexes them and routes each question to the right specialist assistant, and the answer cites the document it came from. The home page gives the condominium association example: owners ask the assistant instead of writing to the board.

### Built for one state's forms and dates

The product knows the Florida FAR/BAR purchase contract forms. An agent types the terms once and gets a filled draft PDF, with every value that was not given left blank and listed. A contract review returns flags with page numbers and every dated deadline, and a daily agent reminds the right person a week before, again at three days, and then the broker.

### Few customers at high prices

Plans for a team start at US$295 a month, about ten times the one-user plan. TrustMRR shows one active subscription at US$895 a month and four larger payments from January to April 2026. The home page names one brokerage with 83 agents and staff, which is the kind of customer that pays such prices.

### Vendors pay for placements

Inspectors, lenders and photographers can pay US$150 a month per brokerage for a sponsored card in the agents' toolbox. The home page says vendor placements offset 94% of the platform cost for Starlink Realty, while the vendor page says RealtyOps does not pay brokerages for placements; no source explains how the offset works.

## How it was built

These details come from the company's terms, privacy policy, pages and page source. The policies and pages are grade C; what is visible in the page source is grade B.

- Language models from Anthropic, named as an example in the privacy policy. The terms define the AI services to include large language models, retrieval augmented generation, document analysis and conversational interfaces.
- Use is counted in credits, the company's "internal measurement of AI or platform resource consumption", with monthly credit allowances by plan.
- Stripe for subscriptions and for vendor placements. The page source loads PostHog for product analytics and a Google Analytics tag, and the demo videos are served by Mux, with music from Uppbeat.
- A blog of 200 articles on brokerage and association topics, published from 27 February to 21 August 2026, and separate pages for brokerages and for associations.

Sources: [6, 5, 7, 2, 10]

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

Four companies in the Loot Drop database sold contract or property-management software and failed. The values below are from that database and are not independently verified.

The failed startups come from Loot Drop (https://www.loot-drop.io/), a free database of dead startups, retold here in our own words; Loot Drop describes its entries as AI-assisted summaries of public sources, so they carry no evidence grade.

### Glider (2012 to 2015; funding US$1.5M; cause: Competition)

- Promise: One hub for drafting, negotiating and tracking the status of contracts.
- Why it died: It could not stand out against DocuSign and Adobe Sign, which offered larger suites with deeper integrations, and its pricing did not suit smaller businesses.
- Record: https://www.loot-drop.io/startup/1164-glider

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

- Promise: Software that finds common errors and inconsistencies in contracts, sold to law firms on demand.
- Why it died: Larger AI contract-review platforms offered more, and law firms adopted new tools slowly.
- Record: https://www.loot-drop.io/startup/1500-jeugene

### Enzo (2020 to 2024; funding US$10M; cause: Unit Economics)

- Promise: An operating system for property management: maintenance, vendor coordination and workflows in one platform.
- Why it died: Its customers work on thin margins and are very price-sensitive, so the revenue could not support a venture-funded company.
- Record: https://www.loot-drop.io/startup/2492-enzo

### REPitchbook (2021 to 2022; funding US$0; cause: No Market Need)

- Promise: A platform that gathers listings and market data for real estate agents and investors.
- Why it died: It was built before its users confirmed that they needed it, and it missed the features that would have set it apart.
- Record: https://www.loot-drop.io/startup/1867-repitchbook

## What changed

Glider and jEugene sold contract tools before language models, so the software could track a contract or check it against fixed rules but could not read it. Enzo raised US$10 million to digitize property management and found that its customers' thin margins could not pay for a venture-sized team.

A language model now reads a 40-page amendment or an executed contract, and a small team can add the forms and rules of one state. TrustMRR shows US$29,635 of payments in 14 months with no investor named, so the business does not need Enzo's scale. REPitchbook's problem is the open question here: the revenue depends on one subscription and a few large payments, and no source shows a wider set of paying customers yet.

## Can one person copy RealtyOps now?

**Verdict: The niche, yes. The revenue base, not yet.**

An assistant that answers from one organization's own documents is easy to build with rented models, and a state's forms and deadline rules make it harder to copy. But the verified revenue comes from one subscription and four payments in early 2026, and payments stopped in May and June. The terms also say that the company does not provide licensed professional services, so every answer about a contract still needs a person who checks it.

1. Pick a profession whose daily work is reading the same long documents and keeping dates, in one jurisdiction.
2. Build the official forms and deadline rules of that jurisdiction into the product, and cite the source document in every answer.
3. Price for the office, not the person: one brokerage with 80 agents can pay more than many single users.
4. Publish customer results with the customer's name, as the home page does for its two Florida customers.

**What is still open.** The same product can be built for other states' forms and for other document-heavy offices: property managers, title companies, or school boards with long policy manuals.

## What could go wrong for RealtyOps?

- **One customer may carry the business.** TrustMRR shows one active subscription. From July to October 2026 the only payments were US$895 a month, and May and June had none. The four larger payments of January to April 2026 made up 48.9% of all revenue, and no source says whether they came from the same customer or what they bought, for example set-up work or a yearly prepayment.
- **Testimonials that cannot be checked.** The home page quotes an unnamed "Broker-owner" of Starlink Realty from a "90-day post-deployment review" that is not published, and names Matera Condo Association. The page for associations quotes "Patricia W.", an HOA board president, and "James T.", a property manager, without naming their communities; one says the product "paid for itself in the first week". This page could not confirm any of these people or figures, or whether Starlink Realty is independent of the founder's company.
- **An unexplained cost offset.** The home page says vendor placements offset 94% of the platform cost for one brokerage. The vendor page says RealtyOps does not pay brokerages or agents for placements. Neither page explains how the brokerage's cost is offset.
- **Who runs it.** Only TrustMRR names a person, Caio Pimenta, and gives a team of 2 to 5 people. The website names no person, and its About link returns a 404 error. The operating company is B.A.M.S. For Real Estate LLC. Agent Money List labels the operator "Existing business", but no source describes an earlier business.
- **AI output in a licensed field.** The terms say the company "DOES NOT PROVIDE LEGAL, TAX, ACCOUNTING, BROKERAGE, OR OTHER LICENSED PROFESSIONAL SERVICES" and that customers should consult licensed professionals before acting on AI output. A missed deadline or a wrong form value in a real estate contract can cost a client a deposit.
- **Machine-written blog.** 27 blog posts appeared on one day, 27 February 2026, followed by about one a day, and a post of that day is titled for 2024. This looks like automated content for search traffic; no source says how it was written.

## Sources

1. TrustMRR: Realty Ops AI, verified revenue profile (markdown), read 27 October 2026 — https://trustmrr.com/startup/realty-ops.md (grade A). Read the markdown profile. Revenue, MRR and subscriptions are read from Stripe through an API key (revenue last synced 27 October 2026, 06:03 UTC). The founder name, founded date, team size, funding, user estimate and price line are entered by the founder (grade C).
2. RealtyOps home page: AI-Powered Tools for Real Estate Brokerages & HOA Management, read 27 October 2026 — https://www.realtyops.ai/ (grade C). Read in full. Source for the product, the two named customers, their figures and the testimonial.
3. RealtyOps pricing page: Plans for Brokerages & HOA/COA, read 27 October 2026 — https://www.realtyops.ai/pricing (grade C). Read the brokerage tab in full. The association tab loads by script and was not read.
4. RealtyOps for HOA and COA communities, read 27 October 2026 — https://www.realtyops.ai/hoa (grade C). Read in full. Source for the association features and the two testimonials.
5. RealtyOps: Master Subscription Agreement & Terms of Service, read 27 October 2026 — https://www.realtyops.ai/terms (grade C). Read the sections on the company, definitions, subscriptions, AI output and governing law.
6. RealtyOps Privacy Policy, read 27 October 2026 — https://www.realtyops.ai/privacy (grade C). Read the sections on AI processing and data sharing. Source for the AI provider.
7. RealtyOps: Advertise to brokerages (vendor placements), read 27 October 2026 — https://www.realtyops.ai/vendors (grade C). Read in full. Source for the placement price and the statement that RealtyOps does not pay brokerages.
8. RealtyOps blog, 27 February 2026: Why Your Brokerage Needs an AI Assistant in 2024 — https://www.realtyops.ai/blog/why-your-brokerage-needs-ai-assistant (grade C). Read in full, with its structured data. Cited for the date and the title.
9. Agent Money List home page, card for Realty Ops AI (downloaded by the pipeline on 27 October 2026) — https://agentmoneylist.com/ (grade C). Read the card. Where this lead was found; its figures copy TrustMRR (all-time US$28,740 and 1 active subscription as of 16 October 2026). Not used as a separate revenue source. Data under CC BY 4.0.
10. RealtyOps sitemap, read 27 October 2026 — https://realtyops.ai/sitemap.xml (grade B). Read in full. The 200 blog entries and their dates were counted with a script.
11. Loot Drop database export, 1,749 failed startups — https://www.loot-drop.io/ (grade C). Local export. AI-written summaries, not independently verified. Source for the failed predecessors.