Yactraq
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.
Company profile
Overview
Contact-center AI and speech analytics platform for voice and digital interaction analysis, real-time agent assist, quality automation, and compliance monitoring.
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.
At a glance
Key facts
- Founded
- 2010
- Funding stage
- Bootstrapped
- Company type
- Private
- Employee range
- 11-50LinkedIn lists 11-50 employees; LinkedIn page shows 31 employees at one point and 3,291 followers.
- HQ location
- Vancouver, British Columbia, Canada
- Pricing model
- Custom QuoteFlexible 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.
Business context
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.
Market context
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.
Source context
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.
Market taxonomy