Row Bot vs Presto Voice

Row Bot's feature set is entirely about the operator at the keyboard: local execution via Ollama and other on-machine runtimes, provider-aware routing to hosted APIs and OpenAI-compatible endpoints, parent-led multi-agent work waves with dependencies and checkpoint recovery, Agent Profiles for durable role instructions and tool policies, Goal Mode for tracked objectives, and a built-in managed browser, shell, and file tools behind reviewable approvals. It goes further with opt-in Computer Use for reviewed Windows/macOS apps, MCP server integration, a personal knowledge graph with sharded search and graph recall, a bounded resumable document queue, Developer Studio (repos, diffs, tests, approvals), and Designer Studio (decks, documents, mockups, storyboards). Every capability is something one person configures and runs.

Presto Voice has none of that — and doesn't want it. Its feature list is operational, not configurable: automated order taking at the speaker post, a 'spectrum of Voice AI approaches' tuned for multi-brand menus and speech patterns, continuous add-on and specials upselling, 24/7 ordering, and installation at scale without disrupting live lanes. Presto handles POS and headset integration as the integration specialist, backs it with managed deployment and ongoing support, and reports ROI across non-intervention, upsell, and revenue lift. The vendor-published numbers — up to 95% non-intervention, up to 88% upsell offer rate, up to 6% monthly incremental revenue — are the product's real feature surface.

The overlap is zero. Row Bot gives you building blocks and a steep learning curve. Presto gives you an outcome and takes the configuration away from you. That is the entire comparison.

Row Bot is free. It's Apache 2.0, downloadable, and there's no license fee or subscription gate listed. Your realistic costs are indirect: the hardware to run local models, the time to configure Ollama, provider routes, profiles, and goals, and whatever you spend on hosted API calls if you route to OpenAI, Anthropic, or Google AI instead of running everything locally. For a solo developer or tinkerer, that's an unusually low entry price for this category — the trade you're making is setup effort and a steep learning curve, not money.

Presto Voice is pricing_type contact. There is no published self-serve price, no tier grid, no per-lane or per-location figure in the data — you take a call, and per the vendor's own positioning that means an enterprise sales cycle. Buyers who insist on published pricing before talking to anyone are explicitly told this isn't for them. Presto does list ROI reporting as a product feature, which tells you how the deal is framed: the pitch is incremental revenue against deployment cost, not a software line item. For a single-location operator, the managed enterprise deployment overhead almost certainly doesn't pencil out. For a multi-location chain, the math is revenue lift and throughput versus headset labor.

Comparing the two on price is meaningless: one is free software you install, the other is a negotiated services engagement. Budget isn't the axis that separates them — problem type is.