Velociti organizes product work around something it calls the Context Loop: Discovery → Context → Strategy → Build. Rather than leaving evidence fragmented across interview notes, support queues and tickets, the platform keeps a durable Context Layer that holds interviews, feedback, support tickets, product docs and usage data in one place. Velo AI then builds a canvas, problem maps, story maps and initiatives from a product overview or an existing document, so teams are not starting from blank pages. Teams can import analytics, research notes and feedback to make the generated insights reflect their own users rather than generic prompts.
The distinguishing feature is Context Dispatch. Requirements and the reasoning behind them are packaged and sent to MCP-compatible coding agents like Cursor or Claude Code, with Jira handling the backlog. Because each initiative links back to the underlying customer evidence, teams can answer 'why are we building this?' in one click and see how every dispatched initiative moves from discovery to delivery. Theme-based strategy lets initiatives be planned and prioritized against a shared direction, and any initiative can be turned into user stories, backlog tickets, working prototypes or a Context Dispatch.
Velociti is delivered entirely in the browser with no installation, supports real-time collaboration in shared workspaces, and states that customer data is not used to train public models and is not shared between customers. The company says more than 100 product teams have run 15,000+ initiatives through the Context Loop. Pricing is subscription-based across Starter, Pro and Scale tiers, with a 7-day free trial that does not require payment details.
