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Chordia

Chordia offers the Compass platform, which automatically analyzes every customer interaction—calls, chats, and transcribed messages—to deliver evidence‑backed compliance monitoring, quality insights, and coaching recommendations. By applying a customizable rule engine and 134 behavioral signals, it surfaces exact moments of missed requirements, emerging customer issues, and performance opportunities, all tied to real quotes and timestamps, enabling contact‑center leaders to act quickly without manual sampling.

Washington, US,INFounded 202315300+ followers
Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Contact centers rely on manual QA sampling, spot checks, and checklist-based compliance, which provides only limited visibility into actual conversations. This leads to missed compliance steps, undetected customer pain points, and inconsistent coaching that depends on anecdotal evidence.

Solution

Chordia’s Compass platform automatically analyzes every customer interaction—calls, chats, or transcribed messages—to produce structured, evidence‑backed insights. It evaluates conversations against defined quality, compliance, and behavioral criteria, surfacing exact moments where requirements were missed, patterns of customer issues, and coaching opportunities. Findings are tied to real quotes and timestamps, allowing supervisors to validate and act on them quickly. The system integrates with existing contact‑center tools, requiring no workflow changes, and scales from a small pilot to full‑coverage analysis across all teams.

Target Audience

Primary customers are contact‑center leaders, quality assurance managers, and operations teams responsible for inbound support, outbound sales, collections, onboarding, or compliance‑sensitive interactions.

Features

  • Full‑coverage analysis of all conversations, eliminating the need for manual sampling
  • Customizable rule engine for compliance checks (disclosures, prohibited language, verification steps)
  • 134 behavioral signals with Agent Lift scoring that isolates agent impact from call difficulty
  • Evidence‑based insights with quoted timestamps for quality, compliance, and emerging customer themes
  • Automated coaching recommendations highlighting both improvement opportunities and areas of excellence
  • Open integration via APIs and support for Model Context Protocol, connecting to telephony, CRM, and workforce tools
  • Real‑time pattern detection and routing of insights to relevant teams (operations, product, leadership)
This profile is AI-generated and may contain inaccuracies.