Clears is an autonomous software delivery platform that executes engineering work from backlog stories to reviewed pull requests. It coordinates fleets of AI agents across the software development lifecycle, with a persistent context layer that eliminates cold starts and a task board that provides live visibility into every agent session. The platform also supports MCP-based terminal control, letting developers orchestrate agents, tickets, and PRs from a single prompt.
- Artificial Intelligence
- AI Agents
- Developer Tools
- Enterprise Software
- Software Only
Funding
Funding not disclosed
- savyonventures.com (opens in a new tab)investor website
Founders
Product
Problem
Engineering teams face significant bottlenecks in software delivery, as converting raw backlog tickets into shipped code requires extensive manual effort across triage, scoping, implementation, and code review. This process is time-consuming, error-prone, and often stalls due to context switching and lack of shared project knowledge, limiting overall delivery throughput.
Solution
Clears provides an autonomous execution layer that carries engineering work from requirement to shipped code across the entire software development lifecycle. The platform continuously analyzes backlog tickets in the background, performing root-cause analysis, scoping, and risk assessment to turn raw items into actionable decisions that are either handled autonomously or escalated to the team. It coordinates fleets of AI agents across user systems in an orchestrated, observable, and reliable manner, with a shared context layer that persists across runs to eliminate cold starts. Every ticket is wired to its live agent session, visible on a task board where teams can watch progress from requirement to merged pull request, steer work when it drifts, and parallelize the entire backlog. Clears also integrates with coding agents via the Model Context Protocol (MCP), enabling developers to command agents, processes, tickets, and PRs directly from their terminal.
Target Audience
Primary customers are engineering teams and R&D leaders at software companies who need to accelerate delivery throughput and reduce manual overhead in the software development lifecycle.
Features
- Background flows that continuously perform deep analysis on tickets, including root-causing, scoping, and risk/feasibility assessment, to convert thousands of raw items into decisions
- Persistent context layer that serves as shared memory for every agent on every run, eliminating cold starts and ensuring consistent project knowledge
- Task board with live agent session visibility, allowing teams to monitor progress from requirement to merged PR, steer work, and parallelize backlog execution
- MCP-based terminal integration that turns the command line into a full orchestrator for commanding agents, processes, tickets, and PRs from a single prompt
- Agentic workflow orchestration that coordinates fleets of agents across systems with full observability and reliability
- SOC 2 certified security compliance for enterprise-grade deployments