Vambe lands $14M Series A to automate conversational commerce with WhatsApp-first AI agents

Vambe raised a $14M Series A to scale WhatsApp-first AI agents that execute tasks in sales and support for B2C brands in LATAM. Early results: higher conversion and faster replies.

Categorized in: AI News Customer Support
Published on: Dec 04, 2025
Vambe lands $14M Series A to automate conversational commerce with WhatsApp-first AI agents

Vambe raises $14M to automate conversational commerce for B2C support teams

Vambe AI has closed a $14 million Series A to scale its conversational commerce platform across Latin America. The round was led by Monashees with participation from Cathay Latam, Atlantico, Tekton Ventures, Chile Ventures, SkyDeck Berkeley, Nazca and M13.

The company targets midsized B2C brands that need to handle rising contact volume without hiring large teams. Its approach: AI agents that don't just answer questions - they execute tasks across sales and support.

What Vambe offers

Vambe's platform manages the customer lifecycle end to end - from ad-driven demand generation to ongoing retention - with a WhatsApp-first strategy that fits how many LATAM customers prefer to chat. For context on the channel, see the WhatsApp Business Platform from Meta here.

  • Execute operations: schedule appointments, update CRM records, process payments, qualify leads and nurture them automatically.
  • Coordinate across your stack: agents work across the tools you already use and hand off to human teams when needed.
  • More than software: strategic consulting, training and continuous support so teams see value within weeks.

Early results you can benchmark

Vambe reports an average 17% month-over-month revenue increase over the last year and headcount growth from 22 to 80+ to support delivery.

Client outcomes: Reuse (a sustainable Apple marketplace) saw agents outsell human reps with 70% higher conversion and 220% more revenue on average, helping triple annual sales. Fintech firm Global66 improved support responsiveness by 4x.

Why support leaders should care

  • Handle peak volume without burning out the team: deflect common requests and keep SLAs steady.
  • Close the loop: every chat can update your CRM, trigger workflows and log payment actions automatically.
  • Clean handoffs: when logic hits a limit, agents route to specialists with full conversation context.
  • Faster onboarding: reusable playbooks and vendor support reduce time spent on prompts, flows and QA.

How to pilot this in 30 days

  • Pick one high-volume queue (refunds, order status, onboarding). Define success: FCR, CSAT, AHT, containment rate.
  • Integrate the basics: CRM write-backs, ticketing, and payments if required. Set clear escalation rules.
  • Start with guardrails: approved responses, policy checks, audit trails and human-in-the-loop for edge cases.
  • Run an A/B window: small customer cohort, weekly tuning, then scale based on measurable gains.

What's next for Vambe

The company plans to expand customer-facing teams in Chile and Mexico, launch operations in Brazil and build an "agent-to-agent recommendation ad engine" so agents from different companies can collaborate on campaigns.

Investor thesis centers on strong early traction, customer affinity, and a WhatsApp-first platform that automates most complex interactions in B2C settings.

Upskill your team on AI for support

If you're mapping skills for agent workflows, prompt QA, and human handoffs, browse practical training by role here.


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