AI voice agent platform | Supercharge your call operations with voice AI
SF Bay Area
Joined August 2023
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$100M in revenue run rate. And we’re just getting started.
We’re building a future where the people who know their customers best are the ones shaping the AI that serves them.
Proud of how far we’ve come. Even more excited for what’s ahead.
Retell just crossed $100M in revenue run rate.
$10M to $100M in 17 months. Profitable. $4.6M raised.
From day one, we’ve focused on solving the hardest parts of deploying voice AI in the product itself, so customers can build, manage, and improve their own agents without depending on us.
Our bet: the future of the contact center belongs to the teams who run it.
Proud of our team. Grateful to every customer who believed in us.
Introducing Tell-1, Retell’s LLM purpose-built for contact centers.
Intelligence. Latency. Cost.
We built Tell-1 to deliver all three.
Tell-1 uses interleaved reasoning: it answers first and reasons while it speaks, following complex business rules, choosing the right next action, and handling unexpected turns while keeping the conversation moving.
Benchmarks & technical breakdown below.
What happens while Tell-1 is speaking?
As its first sentence plays, it reasons about which business rule applies, what information is missing, and whether to call a tool.
Go deeper into the training, inference, and evaluation behind Tell-1: retellai.com/retell-llm
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Tell-1 is live on Retell.
Try it on your own calls - with your business rules, workflows, and the unexpected turns your customers bring.
We’d love to hear what you think.
retellai.com/
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Retell AI retweeted
Retell just crossed $100M in revenue run rate.
$10M to $100M in 17 months. Profitable. $4.6M raised.
From day one, we’ve focused on solving the hardest parts of deploying voice AI in the product itself, so customers can build, manage, and improve their own agents without depending on us.
Our bet: the future of the contact center belongs to the teams who run it.
Proud of our team. Grateful to every customer who believed in us.
A single follow-up with a San Antonio @spurs Season Ticket Member could take an account representative a week of calls and voicemails.
So the Spurs built a voice agent with Retell to handle Member outreach at scale.
→ 504.7× return on investment
→ 18% live connect rate
Watch the video!
Retell ranked #1 overall in the @G2dotcom × @getbluejay_ai's Voice AI Agent Platform Evaluation.
6 platforms were tested on the same 90 simulated call scenarios, 5 times each, across healthcare, legal, and retail. Success meant completing the caller’s request and taking the right actions in business systems.
Retell earned the highest overall platform score and the highest rate of successful task completion across all runs.
A convincing demo is one thing. Consistently resolving customer requests is what matters in production.
Full results and methodology in the thread.
Results: ai.g2.com/evaluations/catego…
Methodology: ai.g2.com/evaluations/catego…
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Retell AI retweeted
A browser demo doesn't show how a voice agent feels on a phone line.
On real phone calls (Twilio to SIP, Oct 20, 11 each), median reply time rose vs a browser connection by:
@ElevenLabs Agents +0.63 s
Ultravox +0.69 s
@retellai +0.28 s
@Vapi_AI +0.41 s
cozzo.io/benchmarks/phone-ca…
GPT-Live-1 is now on Retell!
Build voice agents which truly keep up with a real conversation. GPT-Live-1, @OpenAI's newest realtime model, is now in Retell. It listens, reasons, and replies in one fast loop, so callers get natural answers without that awkward pause.
Here's what changes in your calls:
🗣️ It feels human. Fast responses and smooth turn-taking keep the conversation moving.
✋ It handles interruptions. Callers can cut in, change direction, or ask a follow-up, and your agent keeps up.
🧠 It's smarter on every call. Stronger reasoning handles complex requests, tool calls, and multi-step tasks with fewer mistakes.
Start building in one click. Pick GPT live in your agent's model settings, and get going! See how to get started: docs.retellai.com/build/gpt-…
Grok Voice 3.0 is now live on Retell! 🚀
@SpaceXSI's speech-to-speech model combines sub-second latency with natural, concise responses, ranking #1 in colloquial performance out of 41 models on our vCX Benchmark.
Every voice AI use case is different. That’s why Retell gives teams the freedom to choose the right models for their AI voice agents, backed by real performance data.
Explore the full benchmark: bench.retellai.com/
Something big is coming to Retell. We’d love you to be part of it.
Join our launch squad, and we’ve got a few surprises planned 👀
📅 Tuesday, November 10
🕘 9 AM PT / 12 PM ET
📍 Virtual
RSVP + details: partiful.com/e/ykbnxrwjp1BEO…
The best AI voice agents make customers feel heard. But that doesn’t happen with a prompt you write once and forget.
It takes listening to real calls, understanding what customers need, and working with the teams who know them best.
That’s what brought Retell’s forward deployed engineer to SelectQuote: to work with five teams, understand how their agents were behaving, and help them improve, from more personal responses to better handoffs.
Our goal isn’t just to help you deploy an agent. It’s to help your team become its own internal deployment team, with the tools and understanding to spot what isn’t working, test ideas against real calls, and ship improvements themselves.
@SelectQuoteIns knows its customers better than anyone. Our job is to give their team the tools to build an AI agent that reflects that understanding.
We’re excited to launch Conversation Memory.
Until now, giving an AI voice agent memory meant building a workflow to extract information after each call, store it, and retrieve it for the next conversation. The more context you wanted your agents to remember, the more fields, mappings, and logic you had to configure and maintain.
Today, we’re bringing that work natively into Retell.
Turn memory on with a simple toggle, and Retell maintains an evolving brief for each contact, including relevant preferences, what’s been discussed, and what still needs follow-up. As conversations progress, the brief updates, carrying useful context forward and clearing resolved action items.
That context can also shape the path through your Conversation Flow. With skippable nodes enabled, agents can skip questions when the required information is already available and focus on what still needs an answer.
A customer following up on a replacement has already explained the problem. Their next call should pick up where they left off and move the request forward.
Learn how to get started:
retellai.com/blog/ai-voice-a…
Excited to join the @claudeai Startup Stack and help teams ship production-grade voice AI with the quality and control to keep improving.
Claude Startups members get 20% off Retell usage for their first 6 months.
Claim now: retellai.com/claude-startups
Last week, we hosted the first Retell Roundtable in San Francisco.
Pavi Bhatter from @figma , Grace Joseph from @Google , and Lawrence Chen from @retellai joined moderator Andey Ng for a conversation about how AI is changing the way software is designed and built.
We talked about the systems behind conversational AI: the data that shapes model behavior, how teams evaluate quality, what goes into a strong agent harness, and how interfaces can help people understand and guide an agent’s work. We also discussed when adding a little friction can help users learn, review, and steer.
Thank you to our speakers and everyone who joined us. Full recording and clips coming soon.
More Retell Roundtables to come.
#ConversationalAI #AI #ProductDesign #Retell #RetellRoundtable
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