Yactraq

Research Team Data Published Compare

Summary

Contact-center AI and speech analytics platform for voice and digital interaction analysis, real-time agent assist, quality automation, and compliance monitoring.

Description

Yactraq appears to be a private, Vancouver-based contact-center AI company focused on speech analytics and real-time agent assistance. Its public website describes an AI-powered analytics and real-time assistance platform for voice and digital channels, with capabilities including omnichannel ingestion, automated QA, sentiment analysis, predictive scoring, compliance detection, real-time agent assist, supervisor alerts, and automated CRM summaries. Public evidence also references its Omnitraq offering and a modular platform approach. Some third-party listings and the company’s LinkedIn page describe the firm as founded in 2010 or 2011, but the exact founding year remains slightly inconsistent across public sources.

Positioning

Yactraq is best understood as a productized contact-center AI / speech analytics platform with adjacent implementation and integration services. The strongest evidence supports SaaS-like software with modular packaging, but the company also emphasizes custom integrations and deployment flexibility. It is directly relevant to conversational AI, contact-center AI, AI quality management, and communication intelligence. Enterprise governance or formal compliance certifications were not publicly verified.

Key facts

HQ location
Vancouver, British Columbia, Canada
Founded
2010
Employee range
11-50 (LinkedIn lists 11-50 employees; LinkedIn page shows 31 employees at one point and 3,291 followers.)
Funding stage
Bootstrapped
Company type
Private
Pricing model
Custom Quote (Flexible pricing; custom quote likely. The site references lower license cost, no hidden support/training fees, and one-time setup fees, but does not publish list pricing.)
Last updated
—

Financials

Revenue estimate
Unknown
Valuation estimate
Unknown
Investments
No reliable public investor disclosures or funding rounds were confirmed from primary sources. Public third-party snippets indicate a private company, but funding stage is not verifiable from the evidence gathered.

Relationships

Target customers
Enterprise contact centers, QA teams, supervisors, operations leaders, sales teams, and BPO partners.
Key competitors
NICE, Genesys, Verint, CallMiner, Observe.AI, Cresta, Talkdesk, Gong, and other conversation intelligence vendors.
Known customers
Sunbasket; Nuxiba; unnamed European airline; additional testimonial references appear on the website but are not fully named or independently verified.

Classification (raw research text)

Core focus
Contact-center AI, speech analytics, quality automation, compliance, real-time agent assist, and conversational insights.
Core industry
Customer support / CX; enterprise communications analytics.
Core category
Contact-center AI platform / speech analytics software.

Shown verbatim from the research spreadsheet — deriving structured industry tags from this text is a future phase.

Segments, Industries & Certifications

Segments

AI Workflows, AI Agents, Knowledge & RAG, AI Quality & Observability, AI Governance & Risk, Call Analysis, Chatbots, Voice AI Agents, Analytics & BI

Industries

Healthcare, Insurance, Financial Services, Industrial / Manufacturing, Energy & Utilities, Customer Support / CX, Sales / GTM, General Purpose