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Case Study· API Integrations· Revenue Orchestration & De-anonymization

Warmly and Autobound OEM signal data integration partnership

Warmly (OEM)

Learn how Warmly went from 5 signals to 300+ by embedding Autobound's full catalog into its API and MCP server, replacing a 2-year internal build with a single integration.

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~5 → 300+
signal types Warmly now offers customers
2 years, 3 engineers
the build Warmly walked away from
700+
signals in Autobound's catalog, across 35+ sources
Warmly
The Who
Person-level and company-level website de-anonymization. Know exactly who is on your site, in real time.
+
Autobound Signals
The Why
700+ signals across 35+ sources that reveal what's happening at every account, whether they visit your site or not.
Warmly gives revenue teams the who: person-level website de-anonymization. By embedding Autobound's 700+ buying signals, Warmly now gives customers the why: what's happening at every account, queryable by an agent, whether they visit your site or not.
The Company

Knowing who is only half the picture

Person-level de-anonymization, the hardest signal in the market

Warmly is the platform marketers reach for when they want to find warm leads and orchestrate them. Its signature move is person-level and company-level website de-anonymization. You learn exactly who is on your site, in real time.

That is rare. Most tools tell you an account is active. Warmly tells you the human.

But de-anonymization only works if someone shows up. No traffic, no visitor, no signal. And in a market measured by signal breadth, knowing who is one answer when buyers want the full story.

The Challenge

Five signals, each constantly breaking in different ways

Two years, three engineers, and the gap was still widening

Before Autobound, Warmly had five signals: website visitors, Bombora intent, job changes, new hires, and a little social. Good signals. Just not enough of them.

Buyers kept asking for more. In competitive deals against Clay, Common Room, and a wave of YC startups touting a "TAM radar" of 300-plus signals, the gap showed.

“We were pitted against companies like Clay or Common Room with a long list of 300 signals plus. We felt like we were falling behind.” — Alan Zhao, Co-founder, Warmly

So Warmly tried to build the rest. A dedicated data team, two years of work. It never worked the way they needed.

Building signals is not one reliability problem. It is three: is the contact data right, did the event actually happen, and is it fresh. Miss one and the signal is worthless.

“We have five signals, each constantly breaking in different ways. So I can't imagine having more than a hundred.”
Alan Zhao, Co-founder at Warmly Alan Zhao Co-founder, Warmly

Five signals already consumed three engineers. One hundred was unthinkable. Three hundred was a fantasy. Every signal you add is one more thing to keep alive, forever.

Why Autobound

Stop building a signal engine. Embed one.

700+ signal types, one normalized feed, zero internal maintenance

Autobound is an AI signal-data company with a catalog of 700+ signal types across 35+ sources. Technographics, job openings, job changes, news, 10-K filings, social, video, website traffic. One normalized feed.

Warmly does not use this data for its own selling. Warmly embeds it. The signals flow into Warmly's own API and MCP server, and Warmly resells them to its customers under its own brand. It is product, not a sales tool for an internal team.

That reframed the whole package. De-anon stays the thing Warmly is famous for. Autobound supplies the breadth around it. Warmly's package went from five signals to three hundred.

Before: in-house
Signal types~5 (de-anon, Bombora, job change, new hire, social)
Engine3-person team, 2 years, always breaking
CoverageNeeds site traffic to fire
Competitive positionLosing to Clay, Common Room on breadth
After: Autobound embedded
Signal types300+ offered to customers (700+ in catalog)
EngineEmbedded, maintained by Autobound
CoverageEvery account, traffic or not
Competitive positionStands next to ZoomInfo and Apollo on breadth
The Integration

GCS delivery into Warmly's API and MCP server

Full catalog, agent-native from day one

Autobound delivers the full 700+ signal catalog via Google Cloud Storage, feeding directly into Warmly's stack.

On top of that feed, Warmly built an API and an MCP server. Customers build large target lists, filter through the API or Claude Code, then orchestrate through Warmly or Claude's native connectors.

Refresh runs on the cadence each signal needs. Some daily, many weekly, some monthly. Warmly's customers get fresh data without Warmly maintaining a single scraper.

In the Product

Three ways customers use the signals

Lists, automated motions, and AI chatbot enrichment

They build lists. Query the signals for accounts that fit, filter in the API or Claude Code, and push straight into LinkedIn, Meta, and email.

They trigger motions automatically. A signal hits on an account, a funding round, a new exec, a hiring spike, and it kicks off the next move on its own: an outreach sequence, automated prospecting, a content send.

They feed the AI chatbot. With signals wired in, Warmly's chatbot can greet a visitor already knowing what's happening at their company, not a cold script.

Underneath all three is the unlock de-anon could never give them. A customer with a quiet website used to be stuck. Now there's always a signal to act on.

“Our forward-deployed engineers love using this. It's so easy to query the Autobound signals, put together a list, and orchestrate them.” — Alan Zhao, Co-founder, Warmly

The Results

One vendor, not six

Positioning transformed overnight

The biggest win is positioning. Warmly can now stand next to the giants and win on breadth.

“You can come up against ZoomInfo and Apollo and say we have one of the most comprehensive signals. You don't have to buy from six or seven different vendors.”
Alan Zhao, Co-founder at Warmly Alan Zhao Co-founder, Warmly

First-party intent, the thing Warmly is known for, plus Autobound's third-party catalog. One vendor, not six. It maps to how buyers actually want to purchase.

“People don't really want to buy one thing and stitch fifteen things together. They just want one vendor.” — Alan Zhao, Co-founder, Warmly

The relationship made the difference too. One-on-one Slack, fixes within the hour.

“I would a hundred percent recommend actually partnering with someone like Autobound.” — Alan Zhao, Co-founder, Warmly

“Warmly owns the hardest signal in the market, knowing exactly who's on your site. We gave them the other three hundred, so their customers get one source instead of six vendors stitched together.”
Daniel Wiener Daniel Wiener Co-Founder and CEO, Autobound
What's Next

Every new signal, queryable by an agent the day it lands

The catalog grows, and the access keeps getting more agent-native

Autobound adds signal types continuously, so Warmly's package widens without Warmly lifting a finger. The MCP server means every new signal is queryable by an agent the day it lands.

Knowing who was the start. Knowing why, across every account, queryable by an agent, is where the product goes next.

Give your customers the full picture.
Embed Autobound's signal data into your platform. 700+ signals across 35+ sources, delivered through Google Cloud Storage or our API.
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