Pilla vs Vellum

Vellum's homepage now leads with "Your Personal Intelligence" — a personal AI assistant with persistent memory, identity and proactive reach-outs across macOS, iOS, Slack and Telegram. That sits alongside Vellum's original product: an LLM development platform for engineering and product teams who need to build, deploy, evaluate and monitor production AI features. The platform side covers a visual Workflows builder, a code-first SDK, evaluations, observability and an Agent Builder copilot. Customer profile skews to Series A-to-B SaaS, fintech and healthcare teams actively shipping generative-AI features.

Vellum wins when the buyer is an engineering or product team building LLM features they will embed in their own application. The Workflows SDK, prompt versioning, online evaluations, deployment environments, observability with full traces, and SOC 2 / HIPAA posture are genuinely mature. Composio + MCP support inside the Agent Node gives developers a clean way to call Slack, Gmail or any external tool from inside an agent. AI Apps make those workflows shareable as no-code interfaces. None of this is fake — Vellum has Series A funding and a real product. If the buyer is technical and the deliverable is "an AI feature inside our software", Vellum is a credible pick.

Pilla wins whenever the buyer is operating a deskless or frontline team and the deliverable is "the team actually does the work, on their phones, with evidence". Vellum has no checklist step, no photo evidence step, no geolocation or clock-in, no signature capture, no team messaging, no broadcasts, no read receipts and no concept of "team performance" — because Vellum's workflows are LLM pipelines that run server-side, not opening procedures or compliance checks completed by humans on shift. The Agent Builder helps developers build AI features; Pilla's in-product agent helps managers run and supervise frontline operations. Different buyer, different output, almost no surface overlap.