Tars

Tars provides an AI Agent Platform aimed at customer experience, enabling support and sales conversations across multiple channels. It is designed for teams seeking automated, contextual interactions that feel personal and brand-consistent. The platform emphasizes end-to-end conversations that resolve issues and advance leads, with a focus on measurable outcomes and cross-channel continuity.

The platform operates by configuring an AI Agent with knowledge bases and tools, testing conversations with synthetic data, deploying across channels, and analyzing results. It supports staging validation and automatic retries on failures, with a loop that feeds insights back into the build process to improve agents over time.

Tars highlights core capabilities such as knowledge retrieval, tool integrations, categorization for intents, and API connections. It frames Gambits as modular building blocks to orchestrate prompts, data sources, and external actions, enabling tailored, context-aware interactions for various use cases.

It notes cross-channel deployment for Web, WhatsApp, and Email, mentions privacy/compliance assertions, and references a demo/tour approach without detailing prices or plan tiers.

Use cases

• Customer support, customer acquisition, and citizen service agents across industries such as finance, healthcare, telecom, education, and retail.