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Funding Details
| Item | Value |
|---|---|
| Company | Bites (Tel Aviv, Israel / New York, US) |
| Round | Series A |
| Amount | $40M |
| Lead | PeakSpan Capital |
| Participants | Vertex Ventures, Horizon Capital, Rittenhouse Ventures, Lyra Ventures |
| Valuation | Undisclosed |
| Total raised | $55M ($15M in prior rounds + $40M Series A) |
| Founded | 2020 (by Eran Heffetz, Tal Nagler Almog, and Hagai Horovitz) |
| Headcount | 30 (Tel Aviv development center + New York headquarters) |
What the company does
Bites builds AI-generated training content for "deskless" workers. It automatically turns any internal document, SOP, or rough idea into a short training video matched to the company's brand voice, uniforms, products, and locations, delivered through channels employees already use — no need to log into a traditional learning-management system (LMS).
Its core focus targets a group enterprise training has long overlooked: roughly 2.8 billion people, about 80% of the global workforce, who don't work at a desk — a population the login-based LMS model was never built for. Bites also includes an "Ask-AI" chat feature so frontline workers can ask natural-language questions and get answers directly relevant to their job. Customers include Unilever, Shake Shack, Coca-Cola, and Electra.
Founder Eran Heffetz's motivation came from personal experience: he previously ran several restaurants and bars in Tel Aviv — including Vicky Cristina, Little Italy, and Bread Story — and had to retrain staff constantly as employees came and went, convincing him traditional training methods simply don't fit frontline, in-person work. That personal pain point became the starting point for Bites.
What this round signals
What it means for the agent ecosystem
Strictly speaking, Bites isn't an agent that acts autonomously or makes decisions interacting with external systems — it's closer to a generative-AI-plus-microlearning content pipeline. That's a reminder that not every dollar in this wave of Series A-and-up funding is buying an "autonomous agent." A meaningful share is going toward using generative AI to redo content enterprises used to pay humans to produce — training videos, SOPs, knowledge bases. These companies have a lower technical bar, but the market is large and fragmented: 2.8 billion deskless workers represent a long-tail market enterprise software has largely ignored for decades.
What investors are betting on
PeakSpan Capital focuses on later-stage growth investments in AI and software, so a PeakSpan-led Series A is unusual — it suggests PeakSpan judged Bites had already cleared product-market fit and chose to stake its claim as a later-stage investor rather than waiting for Series B or C. Existing backers Vertex Ventures and Horizon Capital both returned in full, signaling that conviction in the growth rate hasn't wavered just because the lead investor changed.
Numbers worth watching
- Total funding of just $55M (with only $15M raised prior to this round) is a relatively modest amount of early capital — suggesting the company had already validated clear customer demand before this round
- A lean team of 30 people (split between a Tel Aviv development center and New York headquarters) supports global-brand customers like Unilever and Coca-Cola
- The target market — 2.8 billion deskless workers, about 80% of the global workforce — is one of the few cases in this funding wave where the narrative quantifies market size down to the population level
Watchlist status
Bites isn't on the watchlist yet. None of the 296 companies currently tracked maps cleanly to "enterprise learning/training content generation," and its core business doesn't fit D3 (HR/Recruiting) either — recommend keeping it on the radar and revisiting whether it warrants its own section once more comparable companies emerge. Tracking: AI-generated training videos for deskless workers, the Ask-AI Q&A feature, $40M Series A led by PeakSpan Capital.
Today's takeaway
The "deskless worker" population — 2.8 billion people — has been nearly invisible to enterprise training systems for decades, because the entire LMS model assumes employees sit in front of a computer. Bites started from the clumsiest but most authentic pain point imaginable: its founder couldn't find a decent training tool while running his own restaurants. That's yet another reminder that a vertical AI company's starting point usually isn't "we have a cool model" — it's "I personally lived with this problem for years."