Student enrollment, on autopilot.
Career guidance calls, NPS collection, and re-engagement across global languages. JK Shah Classes hit connection rates roughly 2x the AI-outbound benchmark across six languages.
Stop burning budget on stateless voice bots that forget every caller. Kathan is the global enterprise voice OS that maintains memory, intent, and CRM data across calls. Proven at scale, SOC2 / HIPAA / GDPR / TRAI compliant, and deployable in 48 hours.
Traditional voice bots are script-based and stateless. They hit 12-15% connection rates, break on edge cases, and frustrate customers with rigid IVR trees. Enterprises burn budget on tools that can’t carry context across a single call, let alone a customer journey.
Kathan is built differently. Every call carries full memory, CRM data, and intent signals, so the next conversation picks up where the last one left off. The result is 2-3x higher connection rates and conversations that feel human.
Purpose-built for global linguistic diversity, regulatory rigour, and enterprise-scale call volumes. Every capability ships production-ready.
Answers calls in under 1 second. No hold time, no queues, no IVR mazes.
Every call carries full memory across past interactions, CRM data, and intent signals, persisted across attempts.
English (US, UK, SG accents), Mandarin, Spanish, French, Arabic, Japanese, Hindi, Tamil, Russian, and 40+ more, natively synthesized.
Conversation memory enables 57.3% retarget connection. Turn cold lists into warm conversations.
SOC2, HIPAA, GDPR, and TRAI compliant. DND filtering, time-window enforcement, and complete audit trails across every region.
Behavioural-signal lead scoring instead of rigid scripts. Qualifies the right caller, escalates at the right moment.
Career guidance calls, NPS collection, and re-engagement across global languages. JK Shah Classes hit connection rates roughly 2x the AI-outbound benchmark across six languages.
Loan follow-ups, policy renewal, and KYC verification with full audit trails across US, EU, UK, Singapore, UAE, and Indian regulatory frameworks. Sber scoped a Russian-first, English-secondary blueprint covering five context-aware voice use cases.
Service reminders, lead qualification, and booking confirmations with regional native synthesis. Lanson Toyota deployed Tamil agents in Chennai with measurable conversion lift, while Mandarin and Bahasa variants run for APAC dealerships.
Appointment scheduling and patient follow-ups in the customer's preferred language, with full visit-history context. HIPAA-ready in the US, GDPR-ready in the EU, TRAI-ready in India.
Pre-built connectors for global CRMs, telephony providers, and support platforms across the USA, EU, UK, Singapore, the Middle East, and India. Same-day integration, no rip-and-replace.
No long-term contracts. Pay for results. Most pilots show measurable outcomes within the first week of dialling.
Use case scoping, language selection, integrations mapped.
Native voice synthesis tuned, intents trained on your CRM.
Live calls on a test cohort with full context recall.
Connection rate, retargeting, and regional compliance windows tuned to fit.
Full deployment. Outcomes measurable in week one.
"Their voice agents are truly impressive: natural, accurate, and seamless interactions that significantly enhanced our customer engagement. The Tamil-language customization was the differentiator for our Chennai customers."
"Alchemyst AI is by far the best voice AI solution we have worked with. It outperformed all competitors on connection rate, latency, and language quality."
Stop experimenting with isolated AI tools. Start building a unified, context-aware digital ecosystem that drives real results.