4.7 (200+ reviews)
Full-stack AI for customer operations
Proprietary infrastructure from the ground up. GPU hardware, CX-native AI models, and the apps your team uses.
Application
Software for quality, insights, assistance, and automation across customer operations.
App layer
Full suite of AI-native applications for customer experience.
Model Harness
A control layer for routing, guardrails, and governance in production
Core CX Models
Seven proprietary fine-tuned models for domain-specific tasks
Orba
transcription
Automatic Speech Recognition (ASR) built for contact center speech.
7M+
hours processed monthly
Redactor
redaction
Dual-layer redaction across transcript and audio.
~90%
detection accuracy
Attune
intent detection
NLU that replaces keyword libraries entirely.
400×
coverage lift vs keywords
Crux
summarization
Actionable intelligence from every conversation.
90%
summary accuracy
Veridia
inferred csat
Predicts true satisfaction without surveys.
100%
conversation coverage
Qualix
automated qa
GenAI-powered scoring on every interaction.
85%+
scoring accuracy
Tenor
voice of customer
Daily classification of contacts into 3-level hierarchy.
85%+
accuracy
Data foundation
Integrations with your existing data to feed unified customer intelligence
Integrations
Voice
Chat
CRM
Tickets
Knowledge
Surveys
Metadata
Organizational context
Topics
Rules
Teams
Agents
QA rubrics
Custom filters
Entity resolution
Evaluation & control
Transcripts
Sentiment
Insights
QA scores
Trends
Volume
Cohorts
Compute
Owned infrastructure delivering the performance, cost efficiency, and reliability enterprises demand
Infrastructure
Owned Nvidia GPU cloud
Runtime performance
Cost efficiency
Reliability
Runtime
Session persistence
Async streaming
Fault tolerance
tokens processed per year
Specialized models
Purpose-built models across transcription, redaction, scoring, categorization, summarization, sentiment, and resolution.
Calibration cadence
Recalibrated against human QA leads on a monthly cadence.
Training source
Shaped by real production interactions.
features
Built to run directly inside the enterprise
Permissions, calibration, metadata, review paths, evidence, and feedback are configured as part of the system.
Feedback loops
Corrections route through review and shape future behavior in a controlled way.
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Review paths
Auto, human review, and escalate routes coexist in one model.
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Permissions
Visibility and workflows match enterprise operating structures.
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Calibration cadence
Recalibrated against human QA leads on a monthly cadence.
Metadata fusion
Context is fused in before downstream decisions.
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Evidence
Outputs remain tied to supporting interaction signals and reasoning.
Deployment surface
Runs across cloud and VPC surfaces without rework.
Audit trail
Every output keeps a reviewable trail across teams and time.
Resources
