Uplift

Uplift is for non-technical teams that want an AI agent to handle a real business routine, without turning their own staff into ongoing maintainers. You describe the workflow. Uplift builds the agent, runs it, and keeps it working as tools and AI models change.

• Workflow scoping chat: You map the routine and review a workflow map before anything is built
• Agent building for your use case: Uplift designs the agent and handles integrations and edge cases so it can run in production
• Ongoing operations: The agent runs continuously, with monitoring and logged runs
• Maintenance over time: Uplift updates things that tend to break, like model changes, API drift, and prompt decay
• Works inside tools you already use: Uplift supports a large and growing set of integrations (200+)
• Deterministic where it matters: Uplift uses a mix of tested code for reliable steps and AI only where the work is fuzzy

This is a good fit if you need execution, not a “chatbot,” and you want a human owner on the other side. It’s built for teams in sales, HR, operations, and marketing that rely on routine processes like lead qualification and research or data entry, and want those handled consistently. Uplift positions itself around lowering the ongoing effort on your side, since the scoping effort is meant to be a one-time step and the ongoing work is handled by their team.