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Samora runs multilingual voice operations for organizations with high-volume calling without requiring engineering teams, call centers, or AI expertise.
Many important tasks still depend on phone calls, including customer support, outreach, follow-ups, screening, and intake. But voice AI often fails in production because real callers interrupt, go off-script, switch languages mid-sentence, and speak in local dialects. Teams also worry about safety and compliance, especially when an agent can accidentally make the wrong promise.
Samora solves this with voice agents that sound local and follow strict rules. Samora agents handle inbound and outbound calls, collect information, and update internal systems like CRMs, ticketing tools, and ATS platforms. When a call becomes sensitive or uncertain, the agent hands off to a human. It can also follow up over WhatsApp, SMS, or email when needed.
With Samora, teams get:
1. Voice agents that work in real conversations, including dialects and code-switching
2. Strict safety controls so agents don’t make unauthorized offers, discounts, or promises
3. Calls that result in completed actions, system updates, and safe human handoff
Previously Samora.ai
Engineer turned product manager turned founder. Building multilingual voice agents that automate workflows and escalate to humans when needed. Stanford CS, experience at Microsoft, IBM and Uber, scaled products to 500k+ users from 80+ countries.
Co-founder at Samora AI, a platform for businesses to build voice AI agents for automated communication. Former first engineer at a fintech startup where he helped grow the product from 0 to 50k+ users. Previously co-founded a design & development agency in college and launched an edtech startup, Audify. CS graduate from BITS Pilani.
Building multilingual AI voice agents for real-world business operations. Previously, co-founded an AI-driven accessibility platform, funded and supported by Microsoft, GSMA, UNICEF, and Meta. Studied Maths and CS at Ashoka University and worked as a AI engineer at a fintech.
Founded 2025 · Source
Source-based assessment · automated evidence rules
The company website explicitly reports customer or user adoption. This is a source-based assessment of a company claim; scale and revenue are not independently verified.
Company website: home Checked 2026-10-24
Loved by teams
Maturity is an evidence-based assessment, not a success rating. It may understate the current stage where evidence is limited. Coverage records documented areas, not a complete or independently audited company history.
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