Dinesh Goel

Companies today face the same challenge across every customer-facing team:

- Support teams are drowning in tickets.
- Sales teams lose leads because follow-up is too slow.
- Ops teams waste hours on manual checks, collections, and processes.

I saw this up close while scaling my previous startup Aasaanjobs.

Plus most “AI solutions” deflect or generate pretty answers, but they rarely resolve the work.

That’s why I built Robylon.

We’re building agentic AI that fully resolves tasks end-to-end, from closing a support ticket to qualifying a lead to completing a KYC check.

What makes us different:
✅ Multi-agent architecture → 85%+ coverage across sales, ops, and support
✅ 40+ integrations → go live in weeks, not quarters
✅ Human-in-the-loop fallback → 97% accuracy and trust
✅ Pay-per-resolution pricing → only pay when outcomes are delivered

The results speak for themselves:
💰 25% improvement in loan collection with Voice AI for a fintech client
💰 35% reduction in lead qualification costs for a fintech brand
💰 95% chat resolution for a D2C fashion company

We’re trusted by fintech, e-commerce, and mobility companies who value speed, accuracy, and scale.

Previously I built:
- Aasaanjobs → Entry-level hiring platform scaled to ~$50M ARR and acquired by OLX in <4 years
- Oneworldnation → Blockchain gaming startup that hit $2M ARR before an unexpected tax policy shift

🧠 Topics I love:
- AI & Automation
- Customer Experience
- Scalable Support Ops
- Recruitment & Hiring

If you’re leading sales, ops, or support and wondering how AI agents can reduce costs and improve outcomes, let’s connect.

📬 DM me here on LinkedIn or visit robylon.ai. I also love chatting with builders, operators, and CX leaders.