The hunt for an enterprise messaging app: Zenzap raises $44M as Scuba grows the corporate memory layer
Zenzap raised $44 million as an AI-powered enterprise messaging app meant to replace workplace WhatsApp and Telegram use. Scuba raised $34 million for corporate knowledge Collections. What changes for frontline teams.
On the line, in the warehouse or in field service, teams often land in personal chat groups before they open the official work tools. According to Webrazzi on October 15, 2026, AI messaging startup Zenzap raised $44 million [1]. A day earlier the same outlet reported that Scuba, which gathers corporate knowledge in one place, raised $34 million in total [2]. This piece reads both stories as an enterprise messaging app for workplaces and corporate memory story — not as consumer chat or e-commerce bots, but through IT policy, frontline communication and data security.
What Zenzap promises
Webrazzi reports that Zenzap was founded in 2022 by Guy Weiss, Noam Neumann and Jonatan Bien. The product is an AI-powered messaging platform for how companies talk to employees and run daily work. The stated goal is to replace workplace use of consumer apps such as WhatsApp and Telegram [1].
The round included Bessemer Venture Partners, Lightspeed Venture Partners and The Garage, plus angels Nir Zohar (Wix) and Yoram Tietz (EY). Zenzap said it will use the capital to grow the platform and reach more companies [1].
Product promises fall into three buckets [1]:
- Messaging plus work process in one channel
- AI answers grounded in the company's own knowledge
- Alignment with IT policy and security requirements
Scuba: The "memory" next to the chat
Scuba (founded in 2025 by Noah Desai Weiss and Dolapo Falola) records news, internal messages, AI chats, audio, video and screenshots into topic-based Collections, Webrazzi says. Briefing summarizes important updates daily; the gathered context can feed tools such as Claude, ChatGPT, Cursor and Slack [2]. Accel led the pre-seed; Accel and IVP co-led the seed; total funding is $34 million [2].
Zenzap sits on the "conversation channel" side; Scuba on the "corporate context store" side. Read together, the theme is clear: workplace AI is shifting from paste-into-a-public-model toward a governed layer bounded by company knowledge.
Why now? The frontline reality
In logistics, manufacturing and field service, WhatsApp groups are fast but carry familiar risks:
| Risk | What happens |
|---|---|
| Shadow communication | No official record, hard to audit |
| Personal device / account | Knowledge walks out — or leaks — when someone leaves |
| Uncontrolled file sharing | Customer or production data lands in personal chats |
| Paste-into-AI | Corporate text hits an unapproved model |
That pattern belongs to the same family as the shadow-AI risks in our employee-built AI agents security piece. An enterprise messaging app for workplaces matters when it offers a controlled channel, not a ban.
For warehouse agents and human approval, see AI agents in the supply chain; for basic account hygiene, see phone and account security.
Comparison: Consumer chat vs enterprise channel
| WhatsApp / Telegram at work | Zenzap-style enterprise messaging [1] | Scuba-style knowledge layer [2] | |
|---|---|---|---|
| Primary job | Fast chat | Work communication + process | Capture + summarize knowledge |
| IT policy | Usually outside | Product claim: compliant [1] | Corporate storage |
| Company-grounded AI | User pastes text | Product claim: answers on company knowledge [1] | Collections → other AI tools [2] |
| Audit trail | Weak | Expected in enterprise products | Collections / Briefing |
Note: The table reflects product positioning in the Webrazzi reports; this article did not independently verify security audits or customer reference lists.
Checklist: Choosing an enterprise messaging app for workplaces
- Which teams still use personal WhatsApp/Telegram? (field, warehouse, maintenance, contact center)
- Are retention and e-discovery needs defined for work messages?
- Is file sharing tied to DLP / privacy classification?
- Do AI answers draw only from approved corporate sources?
- Are roles clear for admin approval and guest access?
- Are SSO, device management and remote wipe supported?
- If you add a Scuba-like layer, which Collections may agents read?
For safer use of free general models at work, see our free AI tools guide.
Frequently asked questions
What is an enterprise messaging app for workplaces?
A work communication platform designed for IT policy, retention and security — often with AI features. Zenzap, per Webrazzi, aims to replace workplace WhatsApp/Telegram use [1].
How much did Zenzap raise?
$44 million, according to Webrazzi [1].
How is Scuba different?
Scuba is described as capturing corporate knowledge into Collections and feeding other AI tools [2]; Zenzap focuses on the messaging and work-process channel [1].
Is this about e-commerce chatbots?
No. It is about employee/frontline communication and corporate knowledge management.
Does funding equal product maturity?
No. Funding shows investor interest; buyers still need security, integration and reference checks.
References
- Webrazzi, Candeğer Muradoğlu, "Yapay zeka destekli mesajlaşma programı Zenzap, 44 milyon dolar yatırım aldı", October 15, 2026. https://webrazzi.com/2026/10/15/yapay-zeka-destekli-mesajlasma-programi-zenzap-44-milyon-dolar-yatirim-aldi/ (Accessed: October 16, 2026)
- Webrazzi, Candeğer Muradoğlu, "Yapay zeka girişimi Scuba, 34 milyon dolar yatırım aldı", October 14, 2026. https://webrazzi.com/2026/10/14/yapay-zeka-girisimi-scuba-34-milyon-dolar-yatirim-aldi/ (Accessed: October 16, 2026)
