Interpreterly's answer

Traditional interpreter companies add a third person to the phone call. AI companies replace the employee entirely. We do neither. The employee stays on the call and we carry the language.

Three things follow from that design:

First, it's compliant by shape. The 2024 Section 1557 rule requires qualified human review for machine translation of critical communications. Our model keeps a qualified employee in every conversation, so there's no translation standing alone.

Second, it's faster to deploy. No SIP trunk reconfiguration, no app for the other party, live in minutes. You conference it into any call—cell, landline, VoIP, speakerphone.

Third, the math works. Flat monthly pricing with no per-minute meter. LanguageLine charges $3.95/min and most providers hit a 2–5 minute minimum on every call. We charge monthly. A clinic making 200 short calls a day pays the LanguageLine minimum 200 times. We don't.

MirrorCaption's answer:

MirrorCaption puts live captions and live translation on screen while people are still talking — not after the call, and not after the sentence ends. Words stream in as they are spoken, so both sides of a conversation read what is being said in their own language within about a second.

A few things that are unusual about how it does that:

• No bot, no plugin, no download. It works with whatever audio is there — Zoom, Teams, Google Meet, Webex, a phone on the table, or an in-person meeting in a conference room. Nothing gets invited into the meeting.
• Tap-to-compare highlighting. Touch a translated word to see the exact original word behind it, so you can check the translation instead of trusting it blindly.
• A vocabulary list you build as you go, which is why language learners and students keep it open beside their lectures.
• Automatic speaker detection, so a five-person meeting still tells you who said what.
• AI summaries while the meeting is still running, with action items and decisions pulled out at the end.
• Transcripts stay on your device, stored locally in your browser or app rather than collected into a cloud archive you have to trust.
• Interface in 25 languages, so the person you are helping never has to navigate an English-only screen.

Interpreterly's answer

On price: LanguageLine and CyraCom bill per minute. You pay the minimum on every call, even 30-second questions. Interpreterly is flat monthly. That's the opening.

On compliance: Competitors market "HIPAA-compliant" and leave it there. We explain why our model works under Section 1557. The qualified human staying in the call isn't a feature it's the reason the machine translation rule lets you use AI at all. Competitors don't own that story.

On the calls that break: Read-back confirmation on emails, phone numbers, and ID numbers. ~99% accuracy. No competitor markets accuracy on names and numbers, and it's the thing that breaks interpreted calls in real life.

On setup time: Most competitors want a 4–6 week implementation. We're live in minutes.

The trade: we run three languages deeply tuned (Spanish, Brazilian Portuguese, Haitian Creole coming soon), not 240 shallow. For the calls your front desk actually makes, tuning beats breadth.

MirrorCaption's answer:

Most meeting AI tools are recorders: you invite a bot into the call, it sits there, and afterwards you get a transcript and a summary. MirrorCaption is built for the conversation while it is still happening.

• It works where a bot cannot go. An in-person meeting in a conference room, a phone on the table, a lecture hall, a clinic front desk. There is no call to invite anything into.
• It translates as people talk, streaming word by word instead of waiting for the sentence to end. Both sides read what is being said in their own language within about a second.
• Nothing to install. It runs in a browser, on your phone, or on your Mac or Windows desktop. No plugin, no download, no meeting bot.
• You can check the translation. Tap-to-compare highlighting shows the exact original word behind any translated word, so you are not asked to trust the machine blindly.
• Speaker detection keeps a five-person meeting readable — you still know who said what.
• Summaries run while the meeting is still going, with action items and decisions pulled out at the end, rather than arriving an hour later.
• Transcripts stay on your device, stored locally in your browser or app rather than collected into a cloud archive you have to trust.
• The interface itself is in 25 languages, so the person you are helping never has to navigate an English-only screen.

Interpreterly's answer

Three distinct buyers:

Healthcare (priority). Practice administrators, VPs of Patient Access, and compliance officers at clinics, behavioral health networks, dental groups, and ambulatory surgery centres. They're under Section 1557 pressure—July 2025 deadline hit for most practices—and they have no system. We help them handle Spanish calls on the routine stuff (appointment booking, billing questions, after-hours) while keeping qualified human interpreters for the conversations that legally require them.

Financial services. F&I directors at car dealerships and settlement operators at title companies. The problem is always the same: sale negotiated in Spanish, contract signed in English. California Civil Code 1632 requires a Spanish copy before signing. Most don't have one. They're one lawsuit away from caring.

Call centre operations. VPs of Customer Operations and workforce managers at big call centres and BPOs. They already pay for Spanish coverage offshore. We're the backup for when that site goes down, volume spikes, or attrition hits.

All three are smart, busy, sceptical of AI vendors, and compliance-sensitive. They don't buy hype. They buy solutions to operational problems.

MirrorCaption's answer:

People whose work goes multilingual mid-conversation and who cannot afford to slow down.

• Cross-border business teams — a support engineer in Manchester on a Teams call with a supplier in Shenzhen.
• International support and sales — a sales team running a demo for a prospect in São Paulo.
• Clinics and public services — a front desk registering someone who speaks another language.
• Universities and online courses — an international student following a fast-paced lecture in a second language, reading live translated captions in their own language while the lecturer keeps talking, then leaving with a full transcript and summary instead of half a page of notes.
• Language learners, who use the live vocabulary list and tap-to-compare highlighting to study from real speech rather than textbook sentences.

The common thread is that these are all situations where waiting for a translation, or inviting a bot into the room, is not an option.

Interpreterly's answer

Real-time AI voice interpretation tuned for telephony.

Specific capabilities:

Bidirectional noise cancelling (8kHz narrowband + HD voice) Low-latency turn-taking with barge-in (~250ms) ~99% accuracy on emails, phone numbers, and ID numbers, with read-back confirmation Vertical-tuned speech models per industry and language pair Voice commands: pause, resume, end, translate that back, slower, get a human Audit-ready transcript and recording delivered to the portal Receptionist persona cloned from a top BrainCX agent, always on the English side

The read-back confirmation is the differentiator. Names, numbers, and IDs are the thing that breaks interpreted calls. Nobody else markets accuracy on them.

MirrorCaption's answer:

• Frontend: React 19 and TypeScript, built with Vite and styled with Tailwind CSS. The whole capture-and-caption experience runs in the browser (or Desktop Client).
• Realtime edge: Cloudflare sits between the browser and the speech engine, so the audio stream is handled at the edge.
• Backend: Supabase — Postgres plus edge functions.
• Mobile apps: Capacitor, with native audio capture written per platform so the app can keep listening in the background.
• Speech and language: a streaming speech-to-text engine that emits words as they are spoken, paired with LLM-based translation and summarisation.
• On-device storage: transcripts and session history live in the browser's IndexedDB on the user's own machine rather than in a server-side archive.
• Hosting: Vercel.

Interpreterly's answer

Built by BrainCX, founded by Tariq Alinur in 2021. Tariq spent 30 years pioneering offshore customer experience at Apple, JPMorgan Chase, American Express, and Liberty Latin America. He built FirstRing, India's first publicly traded BPO, with the mission of answering every call on the first ring. Then he built JPMorgan's Philippines operation from zero to the country's largest private employer.

BrainCX core is an operator-led, fully managed enterprise voice AI platform ($15K–$175K ACV). Interpreterly is the self-serve SMB spin-off.

The moment: In 2024 a new rule made accepting Medicare Part B enough to trigger Section 1557 language access obligations. That pulled in almost every US doctor and hospital for the first time. July 2025 compliance deadline. Most practices have no system for it. That regulatory tailwind—and the operational pain it creates is why Interpreterly exists.

MirrorCaption's answer:

I am a programmer at an international company, and MirrorCaption started with a problem I had in my own meetings every week. My foreign-language skills are good enough — I can follow a conversation. But following and catching every detail are not the same thing. In a fast meeting, with several people talking over each other, an accent I am not used to, a number or a name or a caveat mentioned once in passing, I would come away with the gist and a quiet worry about what I had missed. Asking someone to repeat themselves a third time is not really something you do on a call with eight people on it. Speech technology had finally become good enough to fix that, so I built the thing I wanted: live captions and live translation on screen while people are still talking, so I could read the detail I had only half-heard without interrupting anyone. I use it every day. That is the part that matters most for the product. Every rough edge I run into, I fix — including the small ones, the kind a team that only ever demos its own software would never notice. I am MirrorCaption's heaviest user, and I would not put something in front of you that I was not relying on myself the same afternoon.

Interpreterly's answer

Thriveworks. Behavioural health. Interpreterly live. 40% bilingual booking lift.

That's the proof point we can name publicly. Interpreterly currently serves customers across behavioural health, medical clinics, dental groups, title companies, and call centre operations, but Thriveworks is the only one we're cleared to reference by name in public.