Why leading companies build realtime on Ably

Every company on this page reached the same conclusion. Realtime is critical to their product, and building it themselves would drain engineering time better spent on their own roadmap. They rely on Ably instead, and ship with the time they got back.

Trusted by brands serious about realtime
View customer stories

CONVERSATIONAL AI

A dropped connection shouldn't cost the whole conversation

A dropped connection used to mean a delayed chat reply. In a conversational AI product, it means the user loses the response mid-answer, and the context with it. Intercom learned this at scale: they built their own session layer, Nexus, then replaced it with Ably as Fin grew.

  • With Ably AI Transport, your AI responses stream over WebSockets, pick up where they left off after a disconnect, and follow users from one device to the next.
A dropped connection shouldn't cost the whole conversation image
AI agent conversations, delivered without gaps

AI agent conversations, delivered without gaps

18M+ peak concurrent connections supported

Live chat, running at 3 billion messages a month

Live chat, running at 3 billion messages a month

$300k saved yearly on infrastructure and engineering

“If we were building this system from scratch today, we'd start with something like Ably. It lets us focus on the product, not the plumbing.”

Colin Kennedy

Principal Product Engineer, Fin

B2B SOFTWARE

268,000 businesses rely on HubSpot. HubSpot relies on Ably.

HubSpot did the math: 20% of their engineering already went on infrastructure, and realtime would cost more to build and run than it returned. Every company here made the same call. Some, like Dialpad, ship AI features on that same foundation, but here realtime carries the whole product, not one capability.

  • Add chat, notifications, presence, and live collaboration to your product without building or running the infrastructure behind them. Ably handles the scaling, backed by a 99.999% uptime SLA your own customers can count on.
268,000 businesses rely on HubSpot. HubSpot relies on Ably. image
20+ realtime use cases, including live AI transcription

20+ realtime use cases, including live AI transcription

60B+ messages a month · Zero downtime since migration

Zero to 70,000+ participants in seconds

Zero to 70,000+ participants in seconds

Room to triple its connection ceiling, to 150,000

“Number one is really the SLA. It's a solid service. So far, it's been exactly what we need. No major incidents, no issues. The peace of mind has been huge.”

Arnaud Budkiewicz

VP of Engineering, Dialpad

SPORTS & MEDIA

When millions watch live, latency is the product.

Tennis Australia load-tested every major provider against one target: reach millions of fans within 500ms. Ably was the only platform that passed, in a tournament that ran to more than nine billion messages. Sportsbet, NASCAR, and Genius Sports run on the same guarantee.

  • Push live scores, odds, telemetry, and chat to millions of fans at once. Delta compression keeps high-frequency feeds lean, and capacity scales up for the moments nobody can schedule, like a last-lap crash.
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Live chat built into 'Bet With Mates', at 4.5 million messages a day

Live chat built into 'Bet With Mates', at 4.5 million messages a day

2M+ active customers · 65k+ bets a minute, with zero downtime over the past year

 Live in-car telemetry as a second-screen fan experience

Live in-car telemetry as a second-screen fan experience

1TB+ data generated every race · 370m+ messages during the 2024 Daytona 500

Live betting data delivered 3-4 seconds ahead of video

Live betting data delivered 3-4 seconds ahead of video

240,000 events covered each year · 30 hours of developer time saved a month

“Our formal evaluation process and double load testing proved that Ably was the only platform that could meet our very challenging performance targets. Ably delivered without a hitch in 2018 and has effortlessly supported huge growth in demand, right up to our most recent tournament.”

Jeremy Keech

PMO Manager, Tennis Australia

Healthcare

Doxy.me feared its realtime stack. Now it's a strength.

Doxy.me's old realtime provider was failing in ways patients could feel: ghost check-in chimes, chat arriving out of sequence, outages lasting a day. Its engineers avoided what their VP of Engineering called a scary black box, and it carried 250,000 patient visits a day. Six months after moving to Ably it cost 65% less, queue issues were down 95%, and the fear was gone.

  • Build patient chat, visit check-ins, and live clinical dashboards on infrastructure that's HIPAA compliant and SOC 2 Type II audited. Keep data in a single region and control how long it's stored.
Doxy.me feared its realtime stack. Now it's a strength. image
250,000 virtual visits a day, rebuilt in under six months

250,000 virtual visits a day, rebuilt in under six months

65% lower realtime infrastructure costs · full ROI in under six months

Kafka to live dashboards for 50% of the US urgent care market

Kafka to live dashboards for 50% of the US urgent care market

One engineer · live in three weeks

“It's the only HIPAA-compliant realtime solution capable of integrating with Kafka streams and giving us the performance guarantees we need.”

Andrew Hanisch,

System Architect, Experity

From self-build

From self-build

Fin built its own realtime platform, Nexus. As Fin AI Agent grew, it moved to Ably so its engineers could build agents instead of maintaining WebSocket infrastructure.

From Pusher

From Pusher

TeamRetro moved in one week of core work by one developer: 30% faster sync, zero outages since.

From PubNub

From PubNub

Doxy.me expected the migration to take a year. It took under six months, with zero downtime, and app crashes caused by signaling issues dropped 99%.

Also building on Ably

Hundreds of companies build realtime experiences on Ably, from start-ups to global enterprises. Read how they did it.

Also building on Ably image

Highly rated on G2

Ably earns top G2 reviews for its reliable realtime infrastructure, developer-friendly SDKs and customer support.

G2 Best Support Spring 2025G2 Best Meets Requirements Spring 2025G2 Best Results Spring 2025

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