Clad
Clad provides an AI investigation layer that sits between support and engineering teams, automatically triaging incoming threads from Slack, Discord, Teams, and email, then tracing root causes through repository-level analysis and past incident matching. The platform produces evidence-backed handoffs with ready-to-file tickets and draft replies that require one-click human approval, with every resolution feeding a compounding knowledge base. Coding agents read the customer's repository to trace failures back to the specific deploy that caused them.
- AI Agents
- Artificial Intelligence
- Enterprise Software
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Support teams lose context at every handoff to engineering, and knowledge stays locked in people's heads. Powerful tooling stacks exist, but no single tool connects the dots across Slack, Discord, Teams, email, analytics, and incident history, forcing manual triage and repeated investigation.
Solution
Clad Labs provides an AI investigation layer between support and engineering. The platform consolidates threads from Slack, Discord, Teams, and email into one line of inquiry, automatically triages each message by severity, category, and owner the moment it lands, and investigates root cause using repo-level tracing, analytics, backend data, and past incident matching. Coding agents read the customer's repository to trace failures to the deploy that caused them. The system then produces evidence-backed handoffs with ready-to-file tickets, and every resolution feeds a knowledge base so future similar issues are answered from memory. Draft replies and knowledge updates require one-click human approval before execution.
Target Audience
Primary users are B2B support and engineering teams at fast-moving companies that handle high volumes of customer issues across multiple communication channels and need to reduce handoff friction.
Features
- Instant triage with P0-P3 severity detection and engineering vs. support path split, running on arrival with no triage backlog
- Root-cause investigation via coding agents that read the repo and trace failures to the originating change, plus live Stripe billing verification
- Prior incident matching and developer-ready handoffs with full context
- Draft-first workflow showing rationale and evidence before one-click approval or edit, with configurable autonomy levels
- Compounding memory that stores issue, process, and solution for reuse across future tickets, with usage tracked per article
- Omnichannel inbox consolidating Slack, Discord, Teams, and email into a single investigation thread
- Integrations with GitHub for repo-level tracing and Linear for ticket creation