Deeptrue: Revenue, team and how it was built
Deeptrue (Live AI translation and reply prompts for online meetings, USA (Delaware company), office in Japan): US$2.6K monthly recurring revenue, November 2026. Evidence grade A: disclosed by a company or a filing, or verified by a payment processor. Team: CEO Jinho Kim named on a company guide; the About page speaks of a team ("we") with offices in Delaware and Tokyo; headcount not published. Launched 2 June 2025; still running, revenue falling.Added 7 November 2026
- Outcome
- US$2.6K monthly recurring revenue, November 2026Revenue falling
- Evidence
- A disclosed by a company or a filing, or verified by a payment processor
- Launch
- 2 June 2025
- Status
- Still running
- Team
- CEO Jinho Kim named on a company guide; the About page speaks of a team ("we") with offices in Delaware and Tokyo; headcount not published
- Outside funding
- None stated in any source
- Group
- Voice and audio
- Main channel
- Not stated
Deeptrue is a desktop app for people who must hold business meetings in a language they do not speak well. It uses speech recognition, a model that turns spoken audio into text, to show the conversation as live translated captions, text in the user's own language that appears while people are still speaking. Its main feature, Smart Suggestion, reads the conversation and shows a reply the user can read aloud in the other language. In Interpreter Mode the app uses text-to-speech, a model that reads text aloud with a synthetic voice, and sends the translated speech to a virtual microphone, a software audio device that the meeting app selects like a real microphone.
The company behind it is OS Designers, Inc., registered in Delaware, with a second office in Tokyo. A company guide from 2 June 2025 is signed by Jinho Kim as CEO. The About page says the team moved to Saudi Arabia in 2023 and first built a translator that "translated your voice and synced your lips in real time", then decided that users wanted help to speak for themselves. The Deeptrue Copilot beta launched on 2 June 2025. TrustMRR, a site that reads revenue directly from a company's payment processor, showed on 7 November 2026 monthly recurring revenue (MRR, the subscription revenue that repeats every month) of US$2,636 from 79 active subscriptions, read from Stripe, and US$25,691 of revenue in the last 12 months.
This page grades every number by its evidence. The revenue figures come from the payment processor through TrustMRR. The team, the history and the product claims come from the company's own pages. Monthly revenue has stayed between US$2,159 and US$2,884 since March 2026, but October 2026 was about 18% below September, and the company has been listed for sale on TrustMRR since March 2026. The page also shows three failed startups that sold translation or language learning before AI could do it live.

How much revenue does Deeptrue make?
Each row shows the evidence grade and the source numbers from the list at the end of this page. The grades are explained in How Aiolum verifies.
| Fact | Value | Grade | How we know | Sources |
|---|---|---|---|---|
| Monthly recurring revenue, 7 November 2026 | US$2,636 | A | TrustMRR "Current MRR" snapshot. TrustMRR reads the payment records from Stripe through an API key; revenue last synced 7 November 2026. The lead seen by the pipeline (US$2,529 on 6 November 2026, from a directory that copies TrustMRR) was not used. | [1] |
| Active subscriptions, November 2026 | 79 | A | TrustMRR "Current active subscriptions". | [1] |
| Average MRR per subscription | about US$33 | calc | Calculated: 2,636 divided by 79 equals 33.37. Between the Pro price (US$29) and the Business price (US$49). | [1, 3] |
| MRR change in the last 30 days | +4.2% | A | TrustMRR "Last 30 days MRR growth". | [1] |
| Revenue in the last 30 days, to 7 November 2026 | US$2,242 | A | TrustMRR gives a change of -18.1% against the 30 days before. Revenue includes extra minutes, so it can move differently from MRR. | [1] |
| Revenue in the last 12 months | US$25,691 | A | TrustMRR. All-time revenue: US$26,736. | [1] |
| Revenue before December 2025 | US$1,339 | calc | Calculated: all-time revenue of US$26,736 minus the sum of the monthly timeline from December 2025 to November 2026 (US$25,397). | [1] |
| Revenue, December 2025 | US$1,201 | A | First month of the TrustMRR monthly timeline. | [1] |
| Best month, September 2026 | US$2,884 | A | TrustMRR monthly timeline. From December 2025 to September 2026 monthly revenue grew by 140% (calculated: 2,884 divided by 1,201). | [1] |
| Revenue, October 2026 | US$2,369 | A | About 17.9% below September 2026 (calculated: 2,369 minus 2,884, divided by 2,884). From March to October 2026 every month was between US$2,159 and US$2,884. | [1] |
| Profit margin, last 30 days | 80% | C | TrustMRR snapshot. A margin needs costs, which are not in the Stripe records, and the profile does not say where the costs come from. | [1] |
| Listed for sale | since 13 March 2026, asking US$96,000 | C | TrustMRR listing entered by the seller: revenue multiple 3.6x, 4 offers received. 96,000 divided by 12 times the last-30-day revenue (2,242) equals 3.57. | [1] |
| Beta launch | 2 June 2025 | C | Changelog entry "Deeptrue Copilot Beta Launch". The TrustMRR profile gives 16 February 2025 as the founded date. | [5, 1] |
| Time from beta launch to the headline figure | 17 months | calc | Calculated: June 2025 to November 2026. | [1, 5] |
| Company | OS Designers, Inc., registered in Delaware | C | Terms of Service. The About page lists a North America office in Delaware and a Japan office in Tokyo. | [10, 4] |
| Team | headcount not published | C | The About page speaks of "we" and says the team moved to Saudi Arabia in 2023. A company guide is signed "Jinho Kim CEO". No page read gives a headcount or a funding round. | [4, 8] |
| Prices | US$29 and US$49 per member a month | C | Pricing page: Pro with 300 minutes, Business with 800 minutes, a free plan with 60 minutes, Enterprise on request. | [3, 2] |
| Languages | 31 | C | Pricing page. The home page says "30+" and lists 30 languages. | [3, 2] |
| Platforms | macOS 13 or later, Windows 10 or later | C | Home page download button. | [2] |
| Model and infrastructure suppliers | OpenAI, ElevenLabs, Modal, LiveKit, AWS | C | Subprocessors page as of 7 November 2026: OpenAI for the large language model, ElevenLabs for text-to-speech, Modal for GPU inference, LiveKit for real-time audio streaming, AWS for hosting. | [9] |
| Pages in the site map | 558 | C | Counted in the sitemap: pages per meeting app (Zoom, Teams, Google Meet, Webex, Tencent Meeting, WeChat, DingTalk, Lark), blog posts and guides, in several site languages. | [11] |
How to read this table: a grade A value was read by TrustMRR from the company's Stripe account through an API key. A grade C value comes from the company's own pages or from text on the TrustMRR profile that the seller wrote. A "calc" value was computed on this page from the rows above it.
| Plan | Per month, billed yearly (US$) | Per month, billed monthly (US$) | Limit |
|---|---|---|---|
| Free | 0 | 0 | 60 minutes included, up to 30 minutes per session |
| Pro | not shown | 29 | 300 minutes a month, up to 100 minutes per session |
| Business | not shown | 49 | 800 minutes a month, no limit per session |
| Enterprise | custom | custom | Yearly billing only, custom languages, SLA support |
Prices are per member per month, billed monthly. The pricing page shows no yearly price for Pro and Business, so the yearly column says "not shown"; Enterprise is billed yearly only. The home page gives the price of extra minutes: US$0.12 a minute on Pro and US$0.08 a minute on Business. All plans list 31 languages.
When did Deeptrue launch, and how did it grow?
From a translator with voice and lip sync in 2023 to a meeting prompter with 79 paying subscriptions in November 2026. Each entry carries its grade.
- 2023CThe team moves to Saudi Arabia and builds a real-time AI translator that translates the user's voice and syncs the lips in real time. It then decides that users want help to speak for themselves, not a translator that speaks for them. [4]
- 16 February 2025CFounded date given on the TrustMRR profile. [1]
- 2 June 2025CBeta launch of Deeptrue Copilot: real-time voice translation, reply suggestions, and support for Zoom, Teams and Meet. A guide by the CEO lists a translated, lip-synced video of the user as "Coming soon". [5, 8]
- June to July 2025CTemplates and file upload for suggestions (16 June), Practice Mode with an AI partner (20 June), captions under one second (6 July), echo cancellation (19 July). [5]
- October 2025CNew control bar, Ask AI and saved meeting transcripts (7 October); Pronunciation Guide and Shadowing in beta (10 October). [5]
- December 2025AUS$1,201 of verified revenue in the month. [1]
- 13 March 2026AListed for sale on TrustMRR. March revenue: US$2,631. [1]
- September 2026ABest month so far: US$2,884. [1]
- October 2026ARevenue falls to US$2,369, about 18% below September. [1]
- 7 November 2026AMRR of US$2,636 from 79 active subscriptions; asking price US$96,000. [1]
Why did Deeptrue work?
Four causes, in the order they mattered. Each one is a reusable lesson.
A prompter, not only a translator
The About page says that people in real meetings still speak broken English because a translator that speaks for them is slow and awkward and makes the other person uncomfortable. Deeptrue's main feature therefore shows a suggested reply on screen, which the user reads aloud in their own voice. The voice translator is still there as Interpreter Mode for users who do not speak the language at all.
A virtual microphone instead of a meeting bot
Many meeting tools join the call as a bot or work inside one platform. Deeptrue installs a virtual audio driver, "Deeptrue Microphone", and listens to the computer's own audio, so the same app works in Zoom, Teams, Meet, Webex, WeChat or Lark, and the other side installs nothing.
Rented models, metered minutes
The subprocessors page lists OpenAI for the language model, ElevenLabs for the synthetic voice, Modal for GPU inference and LiveKit for real-time audio. Every minute of a meeting costs the company money, so the plans sell minutes: 300 for US$29 and 800 for US$49, with extra minutes billed. That is about US$0.097 and US$0.061 per included minute (calculated).
One niche: business meetings across languages
The pages aim at sales calls, interviews, presentations and meetings with partners in Japan, Korea and China, with a page for each meeting app. The home page compares the price with human interpreters and says it cuts "interpretation expenses by over 90%"; that is the company's claim, without a source.
How it was built
These details come from the company's subprocessors page, changelog and guides, and from the tech stack on the TrustMRR profile. They are grade C. [9, 5, 7, 1, 11]
- A desktop app for macOS 13 or later and Windows 10 or later, with a virtual audio driver that appears in meeting apps as "Deeptrue Microphone".
- Speech recognition rebuilt in July 2025, which the changelog says made captions appear in under one second; echo cancellation so users need no earphones.
- OpenAI's API for suggestions, translation and Ask AI; ElevenLabs for the synthetic voice; Modal for GPU inference; LiveKit for real-time audio streaming; AWS for hosting.
- A Next.js website on Vercel and a Python backend, according to the TrustMRR tech stack. Stripe for subscriptions and metered extra minutes.
- Amplitude for product analytics, Resend and Loops for email, and a Discord server for community and support.
- A large marketing site: 558 pages in the sitemap, with pages for each meeting app and site versions in languages such as Japanese, Korean and Chinese.
Tools named in the sources
Each one opens its page in the Tools tab, with every story that uses it.
Who tried this before Deeptrue, and why did they fail?
Three companies in our database of failed startups sold translation or language learning before AI could translate a conversation live. The values below are from that database and are not independently verified.
TurboTranslations
The promiseFaster and cheaper translations from a marketplace of human translators.
Why it diedIt built a human marketplace just as neural machine translation reached good quality, so the human supply side lost most of its value.
Teacher Finder
The promiseMatch language learners directly with teachers, without expensive language schools.
Why it diedBetter-funded competitors took the market, and the first version, built with Zapier automation, could not change fast enough.
Hujiang
The promiseOnline language learning and school courses for a very large audience, with a free tier.
Why it diedA failed stock market listing showed high customer acquisition costs and negative margins against better-funded rivals.
The failed startups come from our database of 1,749 dead startups, retold here in our own words. Its entries are AI-assisted summaries of public sources, so these cards carry no evidence grade.
What changed
Before speech and language models, a person in a foreign-language meeting had two choices: pay a human interpreter or translator for each call, or spend years learning the language. TurboTranslations sold the first through a marketplace of human translators; Teacher Finder and Hujiang sold the second. Both needed people on the supply side, and their costs grew with every customer.
Speech recognition, a large language model and a synthetic voice can now be rented by the minute through APIs. Deeptrue combines them in one desktop app and sells 300 minutes for US$29 a month. Its own change of course is part of the story: the About page says the team first built a voice and lip-sync translator, then moved to prompts that let the user speak in their own voice.
Can one person copy Deeptrue now?
The product, partly. The pattern, yes.
The parts are rented from OpenAI, ElevenLabs and others, so the app itself can be copied; the virtual audio driver for Mac and Windows and the low delay are the harder parts. The market is crowded: the company's own Interpreter Mode page compares itself with translation tools that only show captions or work inside one platform.
Where it is still open: Narrower versions are still open: prompts and captions for one profession (doctors with foreign patients, field service, customs brokers) or for one language pair with a strong business link, such as Japanese and Korean partners of Western companies.
- 1Pick one situation where people pay for language help today (here: sales and partner meetings across languages) and price against the human alternative.
- 2Work outside the platforms: a virtual microphone and system audio make one app work in every meeting tool.
- 3Sell metered minutes, so that the cost of rented models stays below the price of each plan.
- 4Watch how users react to the first version: Deeptrue moved from a translator that speaks for the user to prompts that the user reads aloud.
What could go wrong for Deeptrue?
The risks are the mirror image of the causes above.
Reply prompts in live meetings and interviews
The product shows on screen "what to say next" during real calls, and Practice Mode includes an interview scenario. One home-page testimonial says: "I used Deeptrue to practice beforehand and during actual interviews." No page read says whether users should tell the other side that an AI suggests their words. Cluely, another story on this site, also sells live AI prompts during calls.
Voice and lip sync of the user
The About page says the team's first product "translated your voice and synced your lips in real time", and a CEO guide of 2 June 2025 lists "a translated, lip-synced video version of yourself (Coming soon!)". The home page, pricing page and changelog read on 7 November 2026 do not offer such a feature. Interpreter Mode speaks with "a natural AI voice" from ElevenLabs text-to-speech; no page read says that it copies the user's own voice.
An AI voice in the meeting
In Interpreter Mode the other participants hear a synthetic voice through the user's microphone. The About page itself says of such translators that "you have to ask if it's okay to use it". No page read says that the app tells listeners that the voice is AI.
Logos, badges and testimonials not verified
The About page shows "Trusted by Governments and Organizations" with logos named HNU, NTDP, SME, NVIDIA, Vercel, SUP, AWS, NN, Google, Microsoft, CSTC, SDAIA and MISA; no source says how these organizations relate to Deeptrue. Every page read carries "ISO 27001 Compliant", "GDPR Compliant" and "CCPA Compliant" badges; the home page speaks of "ISO 27001 compliant infrastructure", and no certificate was read. Two of the four testimonials give a first name only. The claims "up to 80%" more confidence and "over 90%" lower interpretation cost have no source.
Dependence on model providers
The subprocessors page (7 November 2026) lists OpenAI for the language model, ElevenLabs for the synthetic voice, Modal for GPU inference and LiveKit for real-time audio. A price rise or a change of terms at any of them changes the cost of every minute sold. The Interpreter Mode page says the system "processes your speech locally", while the same company lists cloud suppliers for AI inference; no page read explains which steps run on the user's computer.
Revenue dipped, and the business is for sale
October 2026 revenue (US$2,369) was about 18% below September (US$2,884), and revenue in the last 30 days was 18.1% below the 30 days before, while MRR rose 4.2%. The company has been listed for sale on TrustMRR since 13 March 2026 with an asking price of US$96,000; a buyer could change the product or the team.
Team and funding
Only the CEO is named, in the byline of a company guide. No source gives a headcount, and no source says whether the company raised money. The offices are in Delaware and Tokyo, and the team says it moved to Saudi Arabia in 2023.
Sources
The grade next to each source is the best grade that the source can support. "Read in full" means that the text of the page was downloaded and the numbers were checked in it.
- A TrustMRR, Deeptrue profile (revenue last synced 7 November 2026)Read the markdown profile. The revenue, MRR and subscription figures come from its Verification Sources section (Stripe through an API key). The founded date, the profit margin and the sale listing are seller-entered or not explained, and are graded C.
- C Deeptrue home page: Real-Time AI Translator for Zoom, Teams & Google MeetRead in full on 7 November 2026. Source for the features, the platforms, the extra-minute prices, the badges and the testimonials.
- C Deeptrue Pricing – Free, Pro & Business PlansRead the plan table on 7 November 2026.
- C About DeeptrueRead in full. Source for the team's history, the first voice and lip-sync translator, the logo section and the offices.
- C Changelog – Latest Updates for DeeptrueRead in full. Entries from 2 June 2025 to 10 October 2025.
- C AI Voice Interpreter for Online Meetings – DeeptrueRead in full, including the questions and answers. Source for the virtual microphone, the AI voice and the comparison with other tools.
- C Speak with a Translated Voice in Zoom or Google Meet | Deeptrue GuidesRead in full. Source for how the translated voice reaches the meeting.
- C What is Deeptrue? | Deeptrue Guides, 2 June 2025, by Jinho Kim, CEORead in full. Source for the CEO's name and the planned lip-synced video feature.
- C Subprocessors – Deeptrue (as of 7 November 2026)Read in full. Source for the model and infrastructure suppliers.
- C Deeptrue Terms of ServiceRead the sections on the company, users' age (18 or older) and subscriptions. Source for the company name and its Delaware registration.
- C Deeptrue sitemapRead in full and counted the 558 page addresses. Not used for numbers other than the page count.
- C Database of failed startups, local exportLocal export. AI-written summaries, not independently verified. Source for the failed predecessors.
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