Clears AI
Clears autonomously executes software delivery from stories to reviewed pull requests, enabling engineering teams to accelerate delivery throughput.
At a Glance
About Clears AI
Clears AI is an autonomous software delivery platform built for engineering teams that want to move from backlog tickets to merged pull requests without manual hand-holding at every step. The product positions itself as an execution layer across the full software development lifecycle, coordinating fleets of AI agents that handle triage, scoping, coding, and review in parallel. It is SOC 2 certified and available as a web application with MCP-based terminal access.
What It Is
Clears AI sits between your project management backlog and your code repositories, acting as an orchestration layer that picks up raw tickets, analyzes them, and drives them through to reviewed pull requests autonomously. Unlike coding assistants that respond to individual prompts, Clears operates continuously in the background — running deep analysis, root-causing issues, scoping work, and assessing risk and feasibility across thousands of tickets at once. The result is a system that either handles tasks autonomously or escalates them to the engineering team when human judgment is required.
Core Capabilities
Clears is organized around four main product areas:
- Triage & Intake — Background flows continuously analyze incoming tickets, turning raw requests into scoped, risk-assessed decisions without manual review.
- Context Layer — A shared memory layer that persists across every agent run, eliminating cold starts and giving every agent the same codebase and project context on every execution.
- Agentic Workflows — Orchestrated, observable fleets of agents that coordinate across connected systems (Jira, GitHub, Bitbucket, GitLab, Slack) to carry tasks from requirement to PR.
- Work From Anywhere (MCP) — An MCP server that turns any terminal or coding agent into a full orchestrator, letting engineers command tickets, agents, and PRs from a single prompt without switching tools.
How the Workflow Operates
Every ticket on the task board is wired to a live agent session. Engineers can watch a requirement progress to a merged PR in one view, steer the agent if it drifts, parallelize the entire backlog, and step back in at any stage with full context preserved. The platform is designed so that teams do not need to change their existing processes — it integrates with the tools already in use rather than replacing them.
Integrations and Platform
Clears connects natively to Jira for project management, GitHub, Bitbucket, and GitLab for source control, and Slack for team communication. The MCP interface extends reach to any terminal-based coding agent. The platform is web-based with a cloud-hosted deployment model, and the Enterprise tier supports deployment in a customer's own VPC for organizations with stricter data residency requirements.
Deployment and Security
Clears AI Inc. holds SOC 2 certification, which the company surfaces prominently on its homepage and footer. The Enterprise offering includes VPC deployment, large-scale codebase analysis, dedicated customer engineering, and priority support with SLA commitments — targeting large R&D organizations with complex delivery needs. The Pro tier supports teams of up to 10 users with shared workspace and Slack-based support.
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Pricing
Free Trial
Try Clears with a free trial before committing to a paid plan.
Pro
For growing teams getting started with autonomous execution.
- Autonomous task orchestration
- Jira, GitHub/Bitbucket/GitLab, Slack integrations
- Shared workspace
- Slack support
- Up to 10 users
Enterprise
Tailored for large-scale R&D organizations with complex delivery needs.
- Everything in Pro
- Unlimited team members
- Custom workflows
- Dedicated customer engineer
- Priority support with SLA commitments
- Large-scale codebase analysis for enterprise environments
- Deploy in your own VPC
- Tailored onboarding and implementation program
Capabilities
Key Features
- Autonomous task orchestration
- Triage & intake with background analysis
- Context layer with shared agent memory
- Agentic workflow orchestration
- MCP-based terminal access
- Parallel backlog execution
- Live agent session visibility per ticket
- Jira integration
- GitHub integration
- Bitbucket integration
- GitLab integration
- Slack integration
- VPC deployment (Enterprise)
- SOC 2 certified
- Custom workflows (Enterprise)
- Dedicated customer engineer (Enterprise)
- Priority support with SLA (Enterprise)
