Local marketing platform Synup launches autonomous AI agent Sydekick

NEW DELHI / BENGALURU — Local marketing platform Synup has announced the launch of Sydekick, an autonomous AI agent built to execute local marketing tasks. The development marks a structural shift in Synup's business model, moving away from traditional software that teams use to manage local marketing toward an agentic system that performs the work itself.

According to the company, the system is powered by large language models and inference owned and operated by Synup. The platform has developed its own agentic harness equipped with memory, capabilities, and integrations.

Managing local marketing across multiple locations typically involves monitoring listings, responding to reviews, creating local content, conducting SEO audits, and tracking performance. As business locations scale, the demand on specialist time increases correspondingly. Sydekick is designed to address this by executing scheduled actions that can be reviewed by human teams and completed at scale.

The agent integrates with over 5,000 systems and can be operated through Synup as well as collaboration platforms such as Slack and Microsoft Teams. To maintain human oversight, the system incorporates an approvals queue for proposed actions, complete with team member assignments, an audit trail, and usage attribution broken down by client and skill. Synup reports that 94 per cent of actions proposed by Sydekick across live workspaces are approved without edits.

Synup states that its existing infrastructure provides an operational advantage for Sydekick. The company currently manages more than two million business locations, maintains over 100 publisher integrations, and relies on 13 years of accumulated business logic. Synup powers nearly 5,000 partners, and three of the top ten largest US listings providers utilize its API.

Alongside the product launch, Synup is altering its commercial model. Instead of relying primarily on seat-based software access pricing, the company is transitioning to usage-based credits. These credits measure the actual actions performed by the agent, allowing for attribution by client and skill.

Ashwin Ramesh, Chief Executive Officer of Synup, stated that the next transition for the business and the industry involves building a truly agentic offering across the value chain, ranging from application tooling to memory and inference.

"The transition from traditional software tooling to autonomous execution represents an interesting evolution in enterprise tech business models. By shifting toward usage-based credits tied to specific actions, Synup is aligning its revenue structure directly with the utility delivered by the AI agent. Maintaining a human-in-the-loop approval workflow is a crucial operational step when deploying autonomous systems at scale, particularly in customer-facing domains like local marketing and review management." — Dr. Shishir Gupta, Founder & CEO, StartupLanes