Thunai

Thunai is an agentic AI platform that transforms an organization’s scattered knowledge—documents, videos, transcripts, chats, and links—into intelligent, task‑oriented agents that can act across voice, chat, email, meetings, and applications. At its core it combines a centralized knowledge engine called the Thunai Brain, which ingests and structures multimodal content, with user‑facing Thunai Companions that behave like personal assistants for support, sales, marketing, and operations. These agents answer customer queries in real time, join meetings to take notes and summarize key points, convert incoming calls into support tickets, and automate repetitive workflows such as ticket routing, CRM logging, follow‑ups, and content drafting. The platform emphasizes human‑like interaction — delivering conversational responses and natural voice experiences — while offering integrations through APIs and browser extensions so agents can work alongside existing tools. It supports compliance and enterprise security standards, including GDPR, SOC 2, and ISO 27001, and can be deployed on‑premise for teams with strict data governance needs. Administrators can monitor agent performance with built‑in analytics and refine behaviors over time, and the system supports multilingual operation and real‑time screenshare during support sessions.

For businesses the benefits are tangible: faster lead responses, reduced level‑one support loads, time saved on meeting follow‑ups, and automated content generation for marketing and LinkedIn research. Pricing tiers range from a freemium entry level with limited storage and monthly credits up to premium and custom enterprise plans that unlock larger storage, more agents, and dedicated support. It has gained rapid adoption among teams across sectors such as healthcare, finance, and customer contact centers, and has been recognized on product platforms for its agentic approach. In short, it aims to be an organization’s operational brain—centralizing knowledge, automating routine tasks, and enabling teams to focus on higher‑value work while AI agents handle the repetitive, structured day‑to‑day. Beyond these technical benefits, the platform helps organizations scale human expertise: by encoding institutional know‑how into agents, companies can preserve tribal knowledge, accelerate onboarding, and maintain consistent customer experiences even as teams grow and processes change. Adoption typically reduces response times and operational costs while improving agent satisfaction and customer loyalty across channels significantly.