
Wafer
Wafer provides an inference-serving platform that it says adapts the serving stack to a workload over time; evaluate performance on your own traffic.
Velociti connects product-discovery documents with initiatives and execution work, using Velo AI to generate and maintain that context.
Velociti is a product-management workspace that connects discovery material, strategy and execution work. Its Velo AI generates planning artifacts from an overview, prompt or supplied artifact, then links that context to initiatives and tickets.
The Velociti homepage describes generated canvases, problem maps, story maps and initiatives. These artifacts give a product team a starting point for organizing customer needs and deciding what to build. Review the proposed problem against actual customer evidence before treating the generated plan as a settled requirement.
The publisher says its context layer keeps those artifacts connected as work progresses. A practical trial should follow one customer problem into an initiative and a ticket, then change the underlying assumption and check what updates. That is a more specific evaluation than accepting a general claim that the team will build the right product.
Velociti lists user stories, backlog tickets, prototypes and Context Dispatch as execution outputs. Product managers and engineering leads can inspect whether a generated ticket preserves the purpose and constraints of its parent initiative. Check the acceptance criteria against the source material and remove unsupported assumptions before implementation.
Its company page describes a focus on retaining customer insight through execution. The site's speed and retention figures are publisher claims, not Franklin measurements. They do not establish that the same gains apply to a team with different discovery practices or an existing backlog.
The pricing page lists Starter, Pro and Scale tiers with workspace and user limits. Starter includes three workspaces and two users; Pro lists ten workspaces and five users; Scale lists 100 workspaces and ten users. Monthly and yearly amounts appear together, so confirm the billing interval at checkout.
The publisher pages disagree on included AI credits. The homepage lists three for Starter and 50 for Scale, while the pricing page lists one and 100 respectively. Ask which allowance applies and how an AI credit is consumed before estimating usage costs. The pricing FAQ describes a seven-day trial and a restricted free version after expiry, but its references to a Growth plan differ from the displayed tier names. Resolve those details before relying on a specific trial or plan.
Before you try it
The published workflow connects customer evidence, product strategy and execution work. It can deliver the problem, supporting research, intended audience, success criteria and scope to a coding agent, rather than only a short feature request.
Official sourceThe page presents Velociti as a context layer alongside coding agents, with MCP delivery to tools such as Cursor and Claude Code and Jira for backlog work. Its role is carrying product reasoning into execution, not being the code editor itself.
Official sourceThe pricing FAQ says an account that does not convert to paid is downgraded to a Free version with significant limitations while keeping data access. It does not specify enough detail to promise continued full AI discovery or credit usage on that fallback.
Official source