Problem

Unify addresses the gap between rigid, prompt-driven AI automation and the way operational work actually happens. Most tools expect a user to fully specify a task upfront, while real work—particularly in operations-heavy teams—requires context, judgment, interruptions, follow-up questions, and incremental teaching. This leaves people spending time on repetitive administrative work across sales, accounting, operations, and other functions rather than on work requiring human taste and judgment.

The main use case is delegating recurring, multi-step workflows that span business applications: monitoring an inbox or CRM, updating records, researching information, preparing summaries, and coordinating follow-up. The economics are usage-based rather than seat-based: Unify says teams pay for the model usage behind tasks, while caching and reuse can make recurring workflows substantially cheaper over time, with the company citing instances of costs falling to one-tenth by the third month.

Product / Service

Unify sells virtual AI teammates that are onboarded like colleagues rather than configured through elaborate prompts. A customer can teach one through a call, live voice, screen sharing, documents, or voice notes. The teammate can then use its own computer and filesystem, operate across multiple concurrent tasks, ask for clarification, be interrupted or redirected, and turn interactions into reusable skills that improve over time.

The service connects to business tools and provides integrations, scheduled tasks, persistent memory, live voice and video, monitoring, and workflow templates. Each task runs in a private sandbox, and Unify can select among models and providers to optimize performance and cost. The commercial model is a shared-credit workspace: the listed team plan is $75 per month for 30,000 credits, with no per-seat charge, while regulated enterprises receive custom pricing and controls such as SSO, audit exports, dedicated tenancy, data residency, and SLAs.

Market

Unify competes in the emerging AI-teammate, AI-coworker, and agentic workflow-automation market, positioned between general-purpose AI assistants and enterprise automation platforms. Adjacent competitors and substitutes include Gumloop, Microsoft Copilot Studio, LangChain-based agent platforms, Lindy, Zapier, Make, n8n, Relevance AI, and Dust; these products overlap in multi-application automation, agent orchestration, and knowledge-work execution, although Unify differentiates around natural onboarding, persistent learning, live collaboration, and human-in-the-loop control.

The company is active rather than pre-product: its site reports more than 100 teams onboarded, 3,000-plus integrations, and 2.1 million tasks routed, while its YC profile says it has helped teams in real estate, finance, and housing. Unify was founded in 2023 by Daniel Lenton, raised $8 million in 2024, and offers free starter credits alongside paid and enterprise plans. The available evidence does not disclose revenue, so traction is best characterized as early commercial usage and customer adoption rather than proven revenue scale.