SuperAPI AI Directory

Totango

Totango has now rebranded as Odie, positioned as a Customer Knowledge Engine for post-sales teams. According to its official website, Odie aims to provide customer-level AI for post-sales teams and their agents, characterized by being smarter, more human-like, and token-efficient. The platform targets post-sales scenarios such as customer success, and supports agents built by the team itself or built by the platform on its behalf. The official website mentions that the company has more than 15 years of experience in the customer success field, and this launch introduces a new platform, a new vision, and a new brand. Apart from the above, information on specific features, charging models, pricing, supported platforms, and detailed usage steps is not yet available.

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About this tool

Totango has now been renamed and transformed into Odie, officially defined as a "Customer Knowledge Engine," primarily aimed at post-sales teams and their agents.

Purpose and positioning: Odie's goal is to give post-sales teams access to "customer-level AI," which the official description characterizes as smarter, more human-like, and highly token-efficient. It serves post-sales scenarios and can support agents built by the team itself or built by Odie on its behalf.

Background and vision: The official website states that Totango has been a participant in the Customer Success field for more than 15 years, and this time it brings a new platform, an adjusted post-sales vision, and a new brand identity to carry this vision.

Currently confirmable information: the brand has changed from Totango to Odie; the product form is a customer knowledge engine for post-sales; it emphasizes customer-level AI, being more human-like, and token efficiency; there are two paths for purchasing or building agents (self-built or built on behalf).

Limitations and information not yet provided: regarding specific functional modules, charging methods and pricing, supported platforms or integrations, deployment conditions, usage steps, and performance data, none of the existing materials provide this, so it cannot be further elaborated.