The people building Oz.

Richard has spent his career at the intersection of customer experience and hard technical problems. Before Anyreach, he founded and scaled Ombre (formerly Thryve) to $12M ARR at 800% year-over-year growth — building the world's largest gut microbiome database, raising $13M, landing CVS and Rite Aid partnerships across 2,600 stores, and picking up features on Shark Tank and in Forbes along the way. A Five9 alum, he saw firsthand how enterprises actually run customer operations at scale — and where the old model breaks. Anyreach is what he believes comes next.

Mukunth architects the Anyreach platform end to end — telephony, real-time voice, and everything in between. He came from Skit.ai, India's largest voice AI company, where he deployed enterprise voice automation at serious scale. He brings deep expertise in telephony infrastructure (Twilio, Asterisk), CI/CD, and the unglamorous engineering that makes AI conversations actually work — including DualTurn, Anyreach's proprietary voice technology with published research behind it.

Akarsh leads engineering at Anyreach, building the platform's core systems like workflows, analytics, voice AI, and third-party integrations for scale. Before Anyreach, he built the omnichannel conversational platform at Skit.ai, India's largest voice AI company, and the Collection Runner platform at Postman, used by millions of developers worldwide.

Shyam has built AI-driven personalization, predictive analytics, and ML automation for some of the most demanding brands in the world — Wayfair, Volvo, and Tesla among them. At Anyreach he works forward-deployed: embedded with enterprise customers, owning deployments from first scoping call to production, and feeding what he learns straight back into the product.

Sakshit has spent his career putting AI into production, not decks. At Skit.ai he led cross-functional teams — ML engineers, prompt engineers, QA — building LLM-powered voice bots for major banking and financial services clients; before that, he supported $5M+ AI and analytics programs at ZS Associates. A former startup founder, he runs Anyreach deployments the way he ran his own company: outcomes first.

Kanika has led more than 25 chatbot and voicebot deployments across banking, e-commerce, and healthcare at Haptik and Skit.ai — two of India's leading conversational AI companies. She specializes in the craft of conversation design: NLP feature launches, A/B-tested UX, and the difference between a bot people tolerate and one they actually use. At Anyreach she pairs that craft with hands-on ownership of customer deployments and CX intelligence.

Jaskeerat came to Anyreach from Accenture Strategy & Consulting, where she worked with enterprise clients on strategy and transformation. She brings a consultant's structure to forward-deployed work — sharp problem framing, clean execution — without the hundred-slide deck. She owns customer deployments end to end.

Joel is the integration muscle behind Anyreach deployments. He's an expert in CRM architecture, data analytics, workflow automation, and systems integration across HubSpot, Salesforce, Zapier, and Oracle — the connective tissue every enterprise AI rollout lives or dies on. When a deployment touches your stack, Joel is the one who makes it seamless.

Honey keeps Anyreach's client programs on rails. She runs day-to-day delivery across multiple enterprise engagements — tracking milestones, chasing dependencies, and unblocking stakeholders on both sides — with a background in project coordination and service operations. If it's moving, Honey is why.

Juan runs Anyreach's presence across every social channel — LinkedIn, X, TikTok, Instagram, YouTube, and beyond. A content creator at heart, he handles everything from short-form video and editing to the storytelling behind Ozzy, Anyreach's indigo parrot mascot. He makes an AI infrastructure company genuinely fun to follow.

Gaurav has spent years building high-performance backend systems and deploying AI-driven workflows for users. At Brick&Bolt, he led backend and AI initiatives that cut DB infra costs by 30%, automated Takeoff analysis with ~95% accuracy, and accelerated project cycles by eliminating manual workflows. He has shipped systems across NLQ, conversational AI, CV/ML pipelines, server and event driven architectures — always with an eye toward measurable impact, reliability, and the messy edge-case details that make real-world AI work.