Alebex · Agentic Voice AI, built in Vancouver
Canada’s #1 streaming speech-to-text model. Alebex STT recorded a 3.96% word error rate for final transcription on September 21, 2026
Canadian-owned

Agentic Voice AI,
built in Vancouver

A real-time voice runtime you can depend on, with your data held in Canada. Build on it, deploy on it, or white-label it.

Get a live call from your own agent

Drop in your website. Alebex reads it, learns what you do, and calls you in under 30 seconds — trained on your business.

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What Alebex learned
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Canadian-built. Independently benchmarked.

Canada’s #1 streaming speech-to-text model.

Alebex STT recorded a 3.96% word error rate for final transcription — placing #1 in Canada and #8 worldwide on the September 21, 2026 Artificial Analysis AA-WER Streaming Index.

#1
Canada
Only Canadian model listed
#8
Worldwide
September 21, 2026
AA-WER Streaming Index - Final Transcription bar chart by Artificial Analysis, snapshot dated September 21, 2026. Alebex STT places 8th of 29 streaming speech-to-text models at a 4.0% word error rate, in a field ranging from 2.7% to 10.1%.

Scroll the chart sideways to see all 29 models →

Source: Artificial Analysis AA-WER Streaming Index, Final Transcription. Snapshot dated September 21, 2026. Alebex tooltip value: 3.96%; the chart label rounds to 4.0%. Lower WER is better; rankings may change as models are added or retested.

The Alebex team presenting at Alexander Innovation Centre's AI Innovation Night, with the Artificial Analysis AA-WER Streaming Index leaderboard projected behind them.
Brighton College

“Honestly, I didn't expect this level of result. We tried it, the numbers were good, and now it runs 100% of our Meta lead outreach.”

Polly Zheng
Director of Operations & Student Affairs
Trusted by
Brighton College Alexander College
The solution

One AI system across voice, SMS & email.

One thread across channels — one conversation, one memory.

Start Outbound Follow-up Sequence — (Phone, Email, SMS)
Fires from your CRM, form or campaign the moment a lead lands.
Start Outbound Follow-up Sequence — (Phone, Email, SMS)
Qualify leads and answer questions
Works your criteria in dialogue, and answers what they ask across any channel.
Qualify leads and answer questions
Book the meeting
Straight into the advisor's calendar.
Book the meeting
Update CRM and hand off
Outcome, transcript and disposition written back, then passed to a person with full context.
Update CRM and hand off
See the platform
08:58 Trigger New enquiry from lead form
08:58 Trigger New enquiry from lead form
08:59 Voice Outbound call — asks pre-qualifying questions
08:59 Voice Outbound call — asks pre-qualifying questions
09:09 Voice Appointment booked with human sales team
09:09 Voice Appointment booked with human sales team
09:10 Email Appointment confirmation and program details sent
09:10 Email Appointment confirmation and program details sent
09:14 Email Calendar invite accepted — Thursday, 2pm
09:14 Email Calendar invite accepted — Thursday, 2pm
09:12 Alebex CRM Advisor notified and calendar updated
09:12 Alebex CRM Advisor notified and calendar updated
Voice

Voice that sounds like your best caller, every time.

Voice is the hardest channel to automate. Alebex built the engine first — the turn-taking, the interruption handling, the validation — and everything else runs on it.

Every call feels live, not scripted.

500ms to first word, word-level interruption handling, and a validation gate that runs alongside synthesis. Callers never wait, never repeat themselves.

Phone showing an Alebex call in progress
Customer
“Hi, I’m calling about the next intake.”
Agent
“Happy to help — let me check what’s available.”
Customer
“Perfect, thanks.”
SMS

Be where your customers already are.

The same engine that handles a live call handles the text thread — one agent, one memory, no separate bot.

One agent, every channel.

No separate bot, no separate logic. The agent that called is the agent that texts.

Phone — messaging app thread
Faster answers where they already are.

Full resolution over text with the complete conversation history attached — fewer calls, faster outcomes.

Email

Follow-ups that prove you were listening.

Every email reflects the whole conversation — what was said on the call, what was asked over text. Nothing gets re-explained.

Every interaction informs the next.

Someone who called yesterday and texted this morning gets an email that picks up exactly where they left off.

Jane Doe
Lead ID: 10024871
Lead Profile Agent Activity CRM Hub Files
Conversation Log
Saturday, August 15, 2026 at 7:00 PM +08.
Bex Ellis 8/12/2026, 4:00:04 AM ✉
Subject:
Your call with Alexander College is coming up on Saturday, August 15, 2026
Hi Jane,
Just a friendly heads-up, your phone call with Alex Rivera, your admissions advisor at Alexander College, is coming up soon.
Warm regards,
Alex Rivera
Admissions Advisor, Alexander College
✦
Activity Log Pacific Daylight Time
Timeline (6) Scheduled (6)
◍ SMS Appointment Reminder 1d ago
Continuity

Alebex keeps the conversation going.

One agent, one conversation, no matter where it starts or where it goes.

The conversation carries.

The agent picks up exactly where the last channel left off.

Hi — calling about the next intake.
via voice
Can you send me the programme details?
via voice
Just sent them over.
via email
Perfect, can I book a time?
via SMS
Booked — Thursday, 2pm.
via voice
Platform

Every agent, every call, in one place.

Live performance, call history and transcripts across every agent you run.

Dashboard
Create Agent
Total calls
1,125
Average latency
500ms
Avg cost per minute
$0.50
Average satisfaction
90%
Lead funnel performance
0 20 40 60 80 7/25 7/27 7/29 7/31 8/2 8/4 8/6 8/8 8/10 8/13
leads contacted responded qualified goals
Conversion funnel
Total Leads
80
Contacted
74
Responded
68
Qualified
62
Goals
57
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Calls
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Live deployment — Brighton College

2,200 leads in. 560 booked appointments out.

“Honestly, I didn't expect this level of result. We tried it, the numbers were good, and now it runs 100% of our Meta lead outreach.”

Polly Zheng
Director of Operations & Student Affairs, Brighton College
Read Brighton College's Case Study
Polly Zheng at the Brighton College reception desk
64%
Contact rate
≈1,400 reached by phone, SMS and email
51%
Qualified
≈720 — of contacted, actually ready to study
78%
Booked
of qualified, booked with a human advisor
560
Appointments
Warm, qualified, advisor-ready
100% of Brighton's Meta lead outreach now runs on Alebex
Voice that feels human-speed

Dual model architecture,single voice.

Human benchmark
200 ms

Natural turn-taking gap in conversation

Typical voice AI
1,500 ms

Single LLM — waits for the full generation before speaking

Alebex
500 ms

SLM + LLM — first word at 500 ms, full answer by 1,500 ms

Human benchmark
200 ms
Typical voice AI
1,500 ms
Alebex
500 ms

Voice feels live only under about a second of silence. Most systems wait for the whole answer before they open their mouth. We listen, predict, acknowledge and respond in overlapping loops — the first word lands while the rest is still being written.

Roughly 500 ms perceived with our dual-model response system, currently in development.

How the Alebex Voice engine works
Output safety

The fastest hallucination is still a hallucination.

Every sentence is checked against off-policy regions of latent space before it becomes audio — verdict in under 50 milliseconds, alongside synthesis rather than in front of it.

Other agentic systems don't put explicit anti-hallucination in the pipeline, they rely on the prompt whereas Alebex has a dedicated validation layer.

Read about the Alebex Voice Engine
Traditional reflection
A second model reviews in series
Repeat if needed
User query
Generate
Reflect / Check
Final answer
Higher latency
Repeated review cycles add latency — ~600ms per round.
Alebex explicit validation
Latent-space check, under 50 ms
User input
AI response draft
SLM validation ~20ms
PASS — speaks
FAIL — blocks, redirects, or regenerates
Delivered response
Low latency
The check runs alongside synthesis — the caller-facing path never waits. Experiments are done with the batch size = 1 (latent-space check).
Is the answer factual?
Is it inside the approved knowledge?
Is it respecting the guardrails?
Is it about to misrepresent your brand?
Northern lights over mountains and a lake
Compliance and trust

Built for Canadian compliance.

Customer data stored in Canada

Recordings, transcripts and customer information held in Canada.

Built in Vancouver

Canadian-built, Canadian-owned.

PIPEDA and CASL

Canadian privacy and anti-spam compliance built in.

Instant opt-out

“Stop” on any channel is handled immediately and the contact flagged.

Call recording consent

Disclosure at the start of every call; recordings stored for audit.

“We felt good that Alebex is built in Canada and the data is stored here. As an educational institution, compliance is important for us, so this was helpful when we decided to use Alebex.”

Polly Zheng — Brighton College
Security and data handling
Get started

Start where you fit

01 · Partners

Sell it to your clients

White-label the platform under your own brand. For CRMs, MSPs, resellers and marketing agencies adding voice to what they already sell.

Explore partnering
02 · Teams

Use it in your business

Put agents on your outbound calling, qualification and booking. For teams where call volume is the constraint.

See solutions
03 · Developers

Build with our API

Voice sessions, streaming and call control through open REST and WebSocket APIs.

Read the docs

Frequently asked questions

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Live demo

Try the live demo

Drop in your website. Alebex reads it, learns what you do, and calls you in under 30 seconds — fully trained, zero setup.

Free demo No credit card Available in Canada and the US
Alebex reads it and learns what you do.
So the agent knows who it is speaking to.
Canadian and US numbers. Alebex calls this number.

No business name needed — Alebex takes that from the site.

Call me

By submitting, you agree to receive a call and a follow-up SMS from Alebex. Reply STOP on any channel to opt out at any time. How we handle your details: Privacy.

— Staging block · for evaluation —
Canadian post-secondary institution
“Honestly, I didn’t expect this level of result. We tried it, the numbers were good, and now it runs 100% of our Meta lead outreach.”
Portrait
Polly Zheng
Director of Operations & Student Affairs, Brighton College
Read case study →
Campus interior — advisor at desk
Watch the case study