Jellybean AI · ChaosNut
In production
Open to read the case study
Jellybean AI
By Jellybean AI80% of Asia prefers interacting with businesses but chat bots suck and contact centers are expensive & an operational nightmare. This often results in slow chats, long call holds, unhappy customers & above all - lost revenue opportunities. Our solution helps businesses turn customer conversations into revenue by deploying AI agents across chat and voice that Convert,Support & Scale all throuh one stack. With 72% customers switching brands after one poor support experience, the need for intelligent, cost effective AI agents is clear & urgent.
- Stage
- In pilot
- Industries
- Logistics
- Banking and finance
- Travel and hospitality
- Deployment
- Cloud (SaaS)
- We are solving the pain points of slow chats, long call holds, unhappy customers & above all, lost revenue opportunities.
- 1: 80%+ of SEA consumers chat with brands but chat bots fail to keep up
- 2: 72% of customers switch brands after one bad support experience
- 3: Contact center operations are expensive & has scale limitations
- 4: Off-the-shelf LLM lacks context, security, integration, & deploy readiness
Opening the deck…
Page 1
Best customer profile
- 1: High growth startups (seed to Series B) in urgent need to scale sales/support without hiring.
- 2: Mid-market B2C brands (ecommerce, fintech, edtech etc.) with high inbound volume & already use WhatsApp /chat - ready for voice automation.
- 3: Digital service providers (healthcare, logistics, SaaS etc.) who need 24/7 availability & multilingual support. There’s cost pressure to automate non-core ops.
Customer case
One customer deployment, shown below.