Startup name: Vehla
Tagline: One Mac app. Your entire workflow.
Elevator Pitch: Vehla is an all-in-one native macOS command center combining AI, productivity tools, window management, dictation, clipboard history, notes, file utilities, and more in one fast, customizable app.
Target Market: Mac users, productivity-focused users, developers, AI users, and professionals who want to consolidate multiple utilities into one customizable workspace
How will you make money?: $29.99 lifetime license
How much capital have you raised?: None
Website: https://vehla.app/
City/Country: Ottawa, Canada
Vehla is a native macOS command-center application that combines app and file launching, clipboard tools, window management, dictation, AI actions, and workspace features behind a keyboard-driven interface. (Source: https://vehla.app/)
The product matters because it addresses a common power-user workflow: relying on a growing collection of separate Mac utilities for small but frequent tasks. (Source: https://vehla.app/)
Vehla is aimed at Apple Silicon Mac users who want to reduce switching among single-purpose productivity apps for tasks such as launching applications, retrieving clipboard history, moving windows, extracting screen text, handling temporary files, and rewriting or dictating text. (Source: https://vehla.app/)
The company positions the underlying problem as fragmentation: independent utilities may each solve a narrow task, but they can create overlapping shortcuts, settings, and desktop surfaces. (Source: https://vehla.app/)
Its platform requirement narrows the immediate market: Vehla requires macOS 15.0 or later and Apple Silicon, and does not support Intel Macs. (Source: https://vehla.app/Vehla%20Docs.dc.html)
At its core, Vehla provides a command palette that can search apps, files, commands, AI actions, snippets, workflows, aliases, and extension commands. (Source: https://vehla.app/Vehla%20Docs.dc.html)
AI is a central differentiator: Vehla can run text-focused AI actions locally through an MLX runtime on Apple Silicon, or connect directly to user-supplied API keys for OpenAI, Anthropic, Google Gemini, DeepSeek, and OpenRouter; it also supports locally configured Ollama and LM Studio servers. (Source: https://vehla.app/Vehla%20Docs.dc.html)
Its privacy policy states that prompts processed through local mode remain on-device, while requests to bring-your-own-key cloud providers go directly from the Mac to the selected provider rather than through a Vehla inference server. (Source: https://vehla.app/Privacy%20Policy.dc.html)
For extensibility, Vehla maintains a public GitHub repository containing TypeScript/JavaScript and Swift SDKs for command packages, with separate-process execution for command invocations and declared capability controls. (Source: https://github.com/ibuhs/vehla-extensions)
Vehla uses a freemium, one-time-license model: the free tier includes the command palette, basic window management, a rolling 50-item clipboard history, limited notes and snippets, limited local models, bring-your-own cloud keys, and a monthly allowance of AI sessions or actions. (Source: https://vehla.app/)
Vehla Pro is listed at $29.99 as a one-time purchase covering two Macs, with a seven-day trial that does not require a card and free updates for life. (Source: https://vehla.app/)
Publicly visible materials emphasize product breadth, updates, and developer extensibility, but do not provide independently verifiable customer, revenue, or funding figures. (Source: https://vehla.app/; Source: https://github.com/ibuhs/vehla-extensions)
Vehla’s clearest positioning is not as a better single utility, but as a consolidation layer for Mac power users who value keyboard-first workflows and local AI options. Its one-time pricing and local-first architecture are meaningful counterpoints to recurring SaaS subscriptions, but the breadth of its feature set also raises the execution challenge: users will judge it on reliability, discoverability, and whether the integrated experience is genuinely simpler than assembling best-of-breed tools.
Note: Information based on publicly available sources at the time of writing, and summarized by AI.
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