Aidan Gallagher
Co-founder
Subterranean
Subterranean offers a platform that lets users create and run self‑learning AI agents without coding, enabling automated workflows for product, research, and operations. Users describe desired outcomes and the agents handle implementation, while providing full observability of activity and tool usage. The service includes free and paid tiers, with options for custom consulting and integration support.
- Artificial Intelligence
- AI Agents
- Developer Tools
Updated 4 months ago
Funding
Funding rounds are not available yet.
Founders
Anthony Hutton
Co-founder
Product
Problem
Organizations often need to automate complex product, research, and operational workflows, but building AI agents typically requires extensive coding, infrastructure setup, and ongoing maintenance. This technical barrier limits the ability of non‑technical teams to deploy autonomous solutions and slows down automation initiatives.
Solution
Subterranean offers a no‑code platform that lets users define desired outcomes in natural language, then automatically creates self‑learning AI agents equipped with specific roles, skills, and tool integrations. The agents operate autonomously, iteratively improving their performance while handling tasks such as research requests, issue creation, and data processing. Developers can also access the underlying APIs and integrations to embed agents into existing pipelines. The platform provides full observability of agent actions, tool calls, and session histories, enabling users to monitor, evaluate, and fine‑tune workflows. Subscription tiers include a free plan and a paid “Starter” plan with priority support and optional consulting for scaling and custom integrations.
Target Audience
Primary users are product managers, researchers, and operations teams seeking to automate workflows without coding, as well as developers who want to accelerate their pipelines with AI‑driven agents.
Features
- No‑code interface for describing tasks, which the system translates into autonomous AI agents
- Self‑learning agents that can assume roles (e.g., researcher, engineer) and acquire new skills over time
- Built‑in tool integrations (APIs, scripts, issue trackers) allowing agents to execute actions directly
- Real‑time activity dashboard showing sessions, tool calls, and execution history for full observability
- API access for developers to programmatically trigger agents or embed them in existing workflows
- Priority support and optional consulting services for performance optimization and custom setups