A sales rep in Austin opens her laptop on a Tuesday morning. She lands on LinkedIn, scrolls a prospect's profile, and clicks a small icon in her browser bar. Three seconds later, the contact - with a verified email, a mobile number, a job title, and a company - is sitting inside Salesforce, queued into an Outreach sequence, with a personalized opener already drafted by an AI named Scribe. She did not open a spreadsheet. She did not paste anything. She did not switch tabs. This is what LeadIQ does, hundreds of thousands of times a day, for revenue teams at Okta, MongoDB, Gong, and roughly 1,200 other companies. It is also, by some margin, the least dramatic piece of software in their stack - which is precisely the point.
The ProblemThe part of sales nobody wants
Prospecting is the part of B2B sales that the brochures skip over. Before any deal closes, before any demo, before any handshake, someone has to find the right human, confirm their email, verify their number, and route them into a system that will not lose them. For decades that work was done by hand - rep, spreadsheet, copy, paste, repeat. The data went stale roughly every ninety days. The reps quit roughly every eighteen months. The funnel leaked at the top in ways nobody could quite see, because the top of the funnel was, by tradition, a polite mess.
By the mid-2010s a handful of companies had decided this was the unglamorous bottleneck worth attacking. ZoomInfo. Apollo. Cognism. Most of them built giant contact databases and then handed the keys to a buyer. The reps still copy-pasted. Just from a fancier place.
The BetTwo ex-Oracle PMs with a Chrome extension
Mei Siauw spent ten years at Oracle. She started in product management and worked her way up to running GTM for new products. Before that she co-founded a children's marketplace called TotSpot that was eventually acquired by Poshmark. So she had seen, in two different roles, the same thing: sellers were spending most of their week not selling. They were data-entering. In 2015 she teamed up with Angelo Huang and made a small, almost stubborn bet - that the right place to fix sales prospecting was not in a database product, and not in a CRM, but in the browser, on the page where the work actually happened.
They built a Chrome extension. You installed it. You went to LinkedIn. You clicked. The contact moved into your CRM with one push. There were no slides. There was no ceremony. The first version was, by most product standards, almost embarrassing in its simplicity. It also worked, which was inconvenient for everyone selling more complicated solutions.
The bet is easy to describe and hard to execute. Meet the seller in their actual habit. Do not ask them to adopt a new screen, a new tab, a new login. Reduce the activation cost to zero. The product would expand from there - which it has - but it would never abandon the browser.
The ProductAn extension, then a platform
A decade in, LeadIQ is no longer a single feature. It is a small constellation of products that share one credit system and one design philosophy. Capture from LinkedIn. Verify in real time. Enrich the CRM. Personalize the outreach. Notice when a buyer changes jobs.
Prospect
The original Chrome extension. One-click capture into Salesforce, HubSpot, Outreach, and Salesloft.
Scribe
An AI writing assistant that drafts the cold opener using signals from the prospect's profile and role.
Champion Tracking
Alerts when a previous customer changes jobs - turning attrition into warm pipeline.
Refresh
Continuous CRM hygiene. Keeps Salesforce records current without anyone touching them.
Data API
Programmatic access to the contact graph for revops teams who would rather build than buy.
The most interesting of these, arguably, is Champion Tracking. The insight is small and devastating - your best buyer at your best customer just took a VP role at a bigger company. Six months ago that data point would have aged into oblivion in someone's notes. Now LeadIQ tells the seller within hours. It is, in effect, a pipeline-generation engine made out of the LinkedIn job change graph.
A decade in six dots.
- 2015Mei Siauw and Angelo Huang launch LeadIQ as a LinkedIn-to-CRM Chrome extension.
- 2017Seed round of $2.75M. The Chrome icon spreads from SF startups into the mid-market.
- 2020Series A of $10M, led by Eight Roads Ventures with Tim Draper and Jason Calacanis participating.
- 2021Series B of $30M, led by Cathay Innovation. Total raised hits $40M+.
- 2023Scribe ships. Generative AI lands inside the extension.
- 2025Scribe and Identify merge into a single overlay. Universal Credits unify billing across the platform.
The ProofWhere the customers live
A platform is only as serious as the logos running on it. LeadIQ now sits inside the revenue motions at Okta, MongoDB, Gong, MuleSoft, Optimizely and Smartly, among about 1,200 others. The customer base spans 45 countries, which is unusual for a sales-data company - data quality typically falls off a cliff outside North America, and most US-built sales-intel products feel it. LeadIQ's distributed founding (San Francisco and Singapore, day one) seems to have helped here.
LeadIQ by the numbers
// public data, rounded, last verified May 2026
Chart caption: numbers a board of directors would call "early profitable" and a competitor would call "irritatingly resilient." Both can be true at once.
The Series B in October 2021 - $30M from Cathay Innovation, with Eight Roads, Fresco, and Strong Ventures along for the ride - was the moment LeadIQ's quietly-built thesis got formally validated. The market had finally noticed the Chrome icon.
The MissionStrategic, authentic, less spreadsheet
Mei Siauw has said, in various interviews, that the mission is to help sales teams make more strategic and authentic connections. Which is the kind of sentence companies put on a wall and then ignore. LeadIQ has the unusual property of having shipped product that actually serves it - Scribe personalizes outreach in a way that feels less templated, Champion Tracking surfaces a warm relationship instead of a cold list, and Refresh quietly fixes the CRM so the next quarter is not built on a foundation of stale records.
The company is remote-first across six continents - rare for a SaaS company of its vintage, common for one that started with co-founders on opposite sides of the Pacific. Headcount sits around ninety-two, which is small for the customer count. The implication, if you read the public numbers carefully, is a team running quietly capital-efficient compared to a few of the louder names in their category.
TomorrowWhy any of this matters
Two things are true about the next few years of B2B sales. First, AI is going to write a great deal of the outreach. Second, the data underneath that outreach will matter more, not less - because bad data scaled by AI is a faster form of bad data. LeadIQ has spent a decade on the second half of that equation. The contact graph, the verification, the freshness, the CRM hygiene. Those are the deeply unglamorous problems whose value compounds quietly when generative AI gets impatient.
There is also a reasonable case that the most interesting B2B AI product of the next five years is not a new tab, not a new chatbot, and not a new dashboard. It is a small icon in a browser bar, sitting between the seller and their tools, doing the dull work invisibly. LeadIQ has been building that icon since 2015, when most of the room was still arguing about whether to call it "sales engagement" or "sales acceleration."
Back to that rep in Austin. She closes her laptop at 5:42pm. She has logged forty-two prospects, three sequences, and seven champion-change alerts. She did not, at any point, open a spreadsheet. The Chrome icon sits where it always sits. The next morning it will do the same thing. The boring miracle of LeadIQ is that this is the entire pitch - and that, ten years in, it still works.