Jeremy Kim
Age 0 · Seoul, South Korea · founder of DeepSales
DeepSales pulled in a 2 billion dollar Pre A round to fuel an AI engine that tells sales reps exactly which buyers to chase and which to ignore.
The Setup
DeepSales did not position itself as yet another generic sales tool. From the start Jeremy Kim framed it as an AI driven buyer discovery engine whose only job was to surface high probability prospects so sales teams could stop wasting cycles on dead leads. That clarity made the pitch legible to both enterprise customers and capital providers who were already hungry for concrete AI workflows tied to revenue.
Founded in November 2021, DeepSales entered the market during the AI gold rush but stayed tightly focused on one wedge: predicting which accounts and buyers were actually ready to buy. Instead of selling vague automation, Jeremy aligned the product narrative with a simple before and after for sales leaders, your team is burning time on low intent accounts today, with DeepSales they work a short list of high intent buyers that the model ranks for them.
The Evidence
The funding story is the loudest proof point. According to Yahoo Finance, DeepSales secured a 2 billion dollar Pre A investment round that pushed reported total funding to 3.5 billion dollars, with Jeremy publicly committing to use the capital to cement a global lead in buyer discovery. That scale of capital, even if structured in a non classical way, signals that institutional money believed the team could turn AI lead scoring into a defensible data and distribution moat.
In his statements around the raise, Jeremy kept returning to two themes, technological differentiation and global reach. He did not talk in abstract about AI, he talked about providing optimal buyer discovery solutions for sales professionals worldwide and using the new capital to harden DeepSales as a globally recognized startup. That framing matters, it turns a funding announcement into a positioning campaign that tells customers and partners that this is the player to bet on for AI assisted prospecting.
The Mechanism
1. Tie AI to a money line. Jeremy Kim did not market DeepSales as a generic AI platform, he marketed it as the engine that finds high quality leads so sales teams close more deals with less activity, which is the only language revenue leaders care about when they evaluate tools.
2. Use a headline round as distribution. The 2 billion dollar Pre A round became content in itself, every article about the raise also repeated the positioning of DeepSales as an AI buyer discovery leader, which functions like a free awareness campaign that even non technical buyers understand.
3. Sell technological advantage as global moat. In public messaging Jeremy stressed differentiating technological advantages and global buyer discovery, which tells big customers and ecosystem partners that DeepSales is not a local point solution but a platform that intends to own the AI prospecting category across markets.
The Steal
- Anchor your AI story in a single revenue metric such as better lead quality or higher close rates so busy buyers can instantly map your product to their P and L.
- If you land an unconventional or outsized funding round, script the announcement so every headline also carries your core positioning and ideal customer in plain language.
- Frame your tech as a durable advantage and talk explicitly about the global market you want to own so large customers and partners see you as a long term bet, not a point tool.
Case Questions
- How did Jeremy Kim grow DeepSales?
- Jeremy Kim grew DeepSales by focusing the product on AI based buyer discovery that directly improves sales outcomes, then amplifying that story through a headline grabbing funding round. By tying the narrative to high probability prospects and time savings for sales teams, he made it easy for enterprises and investors to see DeepSales as a core revenue tool rather than a nice to have AI experiment.
- What does DeepSales do?
- DeepSales builds AI technology that helps sales teams identify and prioritize high quality leads without wasting time on low intent prospects. The platform focuses on buyer discovery, predicting which accounts and individuals are most likely to buy so reps can concentrate their effort where the data suggests there is real demand.
- How much funding has DeepSales raised?
- According to reporting, DeepSales secured a 2 billion dollar Pre A investment round which brought the companys total reported funding to 3.5 billion dollars. Jeremy Kim has said that this capital will be used to strengthen DeepSales technological edge in buyer discovery and to push for a global footprint in the sales technology market.
- When was DeepSales founded?
- DeepSales was founded in November 2021 as an AI driven sales technology company. From inception Jeremy Kim positioned it around buyer discovery, with the goal of using machine learning to tell sales teams which prospects are worth their time.