Building AI-powered platforms that transform how businesses operate
Aurigen Labs Private Limited is a digital-native technology startup building AI-powered SaaS platforms that solve critical business challenges. We democratize access to enterprise-grade technology through cloud-based applications that are scalable, affordable, and easy to deploy.
High call volumes, 24/7 support needs, analytics and inconsistent customer experiences cost businesses millions annually.
Repetitive manual workflows drain productivity and increase operational costs across enterprise departments.
Traditional hiring processes fail to match skills effectively, leading to poor retention and productivity losses.
Fortune 500 & mid-market enterprises
Tech startups & scale-ups
Talent acquisition teams
Small to medium businesses
Aurigen Labs is a cloud-native voice AI platform for enterprise workflows (outreach, support, verification, and operational automation). Our team combines deep product engineering, scalable cloud infrastructure, and enterprise go-to-market execution.
Founder & Tech Lead
Harsh Tyagi is the Tech Lead at Aurigen Labs. He leads engineering across real-time voice orchestration, backend systems, and infrastructure reliability-ensuring low-latency performance, high availability, and secure handling of customer data. Harsh also drives platform integrations (telephony, CRMs, webhooks, analytics pipelines) and deployment readiness for enterprise clients.
Senior Product Lead
Shivam Arora is the Senior Product Lead at Aurigen Labs. He bridges product and engineering-converting customer workflows into clear specs, prioritizing platform capabilities, and ensuring high-quality releases. Shivam also owns deployment processes, monitoring/alerting standards, and operational controls that keep the platform stable and scalable as usage grows.
National Head of Sales & Partnerships
David Ranno is the National Head of Sales & Partnerships at Aurigen Labs. He works closely with enterprise stakeholders to identify high-impact voice AI use cases, align on measurable outcomes, and coordinate deployment paths from discovery through rollout. David also develops channel and strategic partnerships that expand Aurigen adoption across industries, ensuring strong alignment between business value and platform capabilities.
We're a startup actively expanding our team with talented individuals passionate about AI and innovation. Based in Delhi, India, serving global markets.
Aurigen is at the forefront of AI-powered voice automation, delivering enterprise-grade solutions that transform how businesses communicate with their customers, partners, and employees. As a proud product of Aurigen Labs Private Limited, we combine cutting-edge artificial intelligence with deep domain expertise to create voice agents that sound human, understand context, and drive measurable business outcomes.
Our mission is simple yet ambitious: to make AI voice automation accessible, reliable, and effective for enterprises across industries. From banking and insurance to healthcare and recruitment, Aurigen empowers organizations to automate repetitive voice workflows while maintaining the quality, compliance, and oversight that enterprise operations demand.
In a crowded market of AI voice solutions, Aurigen stands out through our unwavering commitment to enterprise needs, technological excellence, and measurable results.
Aurigen offers a comprehensive suite of specialized voice automation products, each designed to solve specific enterprise challenges:
Aurigen is trusted by forward-thinking enterprises across diverse industries who demand reliability, scalability, and measurable ROI:
At Aurigen, we're not just building technology—we're partnering with enterprises to transform how they operate. Our commitment extends beyond deployment:
Join hundreds of enterprises that trust Aurigen to automate millions of conversations while maintaining the quality, compliance, and insights they need to succeed.
Schedule a personalized demo and discover how Aurigen can transform your voice workflows in weeks, not months.