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Smarter Call Centers

Lower Cost & Instant Feedback

Reimagine customer calls with affordable SIP trunking,
intelligent call routing and post-call feedback all powered by AI.

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Secure Platform

Capture post-call voice feedback using Asterisk and convert it into actionable summaries with AI-driven sentiment and keyword analysis.

No blind surveys. Just smart, simple insight.

Enhanced Call Distribution

Distribute calls based on real-time availability, location, or custom logic using your own dial plan via API.

Optimize agent time.

Maximize customer satisfaction.

Scalable Pricing

Call Data offers the most aggressively-priced SIP trunking, feedback and call distribution services to match the scale required by large cost centers.

No bloated licensing and zero compromise on quality.

Secure Platform
Full encryption, zero-trust design

AWS Resilience
Built for demanding workloads

Economy of Scale
Realistic enterprise pricing

AI Analytics

Transform calls into actionable insights that boost revenue, improve customer experience and strengthen loyalty.

Call Data AI reveals sentiment trends and detects churn signals, driving smarter decisions with every conversation.

Outcomes

Understand the caller’s tone, sentiment and urgency
Utilize post-call AI analytics to extract key themes and emerging complaints
Review customer interactions across a spctrum of thousands of calls

Smarter Call Distribution

AI-driven smart call distribution ensures every caller reaches the right agent quickly and efficiently.

By analyzing real-time data and past interactions, AI routes calls to the agent best equipped to handle specific needs.

Outcomes

Route calls to reduce unnecessary transfers & abandonment rate
Dynamically balance workloads across agents
Route priority callers to senior agents for an improved caller experience

Handling Caller Deception

Our AI detects subtle voice cues and speech patterns that may indicate dishonesty or manipulation during conversations.

By identifying potential deception in real time, agents and supervisors can minimize fraud and improve business outcomes.

Outcomes

Flag deceptive patterns and alerts agents or supervisors instantly
Combat social engineering and/or phishing attempts where they start
Resolve disputes faster and help protect business' people and assets

Sentiment Journey Mapping

Use AI to highlight moments when sentiment changes and uncover what triggered the shift.

Use these insights to refine messaging, identify friction points, and create a more empathetic, personalized service.

Outcomes

Reveal precise turning points and call improvement opportunities
Track sentiment before/after process changes to guide future improvement
Continuously track sentiment across calls surfaces for early warning signs

Customer Voiceprints

Use AI to create a unique voice fingerprint for each customer, securely verifying their identity.

The result is faster interaction handling and a smoother experience that delights customers with every call.

Outcomes

Verify identities in seconds, making the best use of the customer's time.
Route callers based on their identity versus their phone number
Detect imposters and better protect sensitive information

Caller Feedback Engine

Customer feedback empowers businesses to better understand their clients, refine products, and deliver exceptional service.

Turn feedback into actionable insights and quickly adapt to evolving needs and prevent churn.

Outcomes

View key pain points, leading to clearer communication
Identify objections, guiding product teams to boost conversions
Catch hidden frustrations early, enabling business act quickly

AI Analytics

Transform calls into actionable insights that boost revenue, improve customer experience and strengthen loyalty.

Call Data AI reveals sentiment trends and detects churn signals, driving smarter decisions with every conversation.

Outcomes

Understand the caller’s tone, sentiment and urgency
Utilize post-call AI analytics to extract key themes and emerging complaints
Review customer interactions across a spctrum of thousands of calls

Smarter Call Distribution

AI-driven smart call distribution ensures every caller reaches the right agent quickly and efficiently.

By analyzing real-time data and past interactions, AI routes calls to the agent best equipped to handle specific needs.

Outcomes

Route calls to reduce unnecessary transfers & abandonment rate
Dynamically balance workloads across agents
Route priority callers to senior agents for an improved caller experience

Handling Caller Deception

Our AI detects subtle voice cues and speech patterns that may indicate dishonesty or manipulation during conversations.

By identifying potential deception in real time, agents and supervisors can minimize fraud and improve business outcomes.

Outcomes

Flag deceptive patterns and alerts agents or supervisors instantly
Combat social engineering and/or phishing attempts where they start
Resolve disputes faster and help protect business' people and assets

Sentiment Journey Mapping

Use AI to highlight moments when sentiment changes and uncover what triggered the shift.

Use these insights to refine messaging, identify friction points, and create a more empathetic, personalized service.

Outcomes

Reveal precise turning points and call improvement opportunities
Track sentiment before/after process changes to guide future improvement
Continuously track sentiment across calls surfaces for early warning signs

Customer Voiceprints

Use AI to create a unique voice fingerprint for each customer, securely verifying their identity.

The result is faster interaction handling and a smoother experience that delights customers with every call.

Outcomes

Verify identities in seconds, making the best use of the customer's time.
Route callers based on their identity versus their phone number
Detect imposters and better protect sensitive information

Caller Feedback Engine

Customer feedback empowers businesses to better understand their clients, refine products, and deliver exceptional service.

Turn feedback into actionable insights and quickly adapt to evolving needs and prevent churn.

Outcomes

View key pain points, leading to clearer communication
Identify objections, guiding product teams to boost conversions
Catch hidden frustrations early, enabling business act quickly

AI Analytics

Transform calls into actionable insights that boost revenue, improve customer experience and strengthen loyalty.

Call Data AI reveals sentiment trends and detects churn signals, driving smarter decisions with every conversation.

Outcomes

Understand the caller’s tone, sentiment and urgency
Utilize post-call AI analytics to extract key themes and emerging complaints
Review customer interactions across a spctrum of thousands of calls

Smarter Call Distribution

AI-driven smart call distribution ensures every caller reaches the right agent quickly and efficiently.

By analyzing real-time data and past interactions, AI routes calls to the agent best equipped to handle specific needs.

Outcomes

Route calls to reduce unnecessary transfers & abandonment rate
Dynamically balance workloads across agents
Route priority callers to senior agents for an improved caller experience

Sentiment Journey Mapping

Use AI to highlight moments when sentiment changes and uncover what triggered the shift.

Use these insights to refine messaging, identify friction points, and create a more empathetic, personalized service.

Outcomes

Reveal precise turning points and call improvement opportunities
Track sentiment before/after process changes to guide future improvement
Continuously track sentiment across calls surfaces for early warning signs

Customer Voiceprints

Use AI to create a unique voice fingerprint for each customer, securely verifying their identity.

The result is faster interaction handling and a smoother experience that delights customers with every call.

Outcomes

Verify identities in seconds, making the best use of the customer's time.
Route callers based on their identity versus their phone number
Detect imposters and better protect sensitive information

Caller Feedback Engine

Customer feedback empowers businesses to better understand their clients, refine products, and deliver exceptional service.

Turn feedback into actionable insights and quickly adapt to evolving needs and prevent churn.

Outcomes

View key pain points, leading to clearer communication
Identify objections, guiding product teams to boost conversions
Catch hidden frustrations early, enabling business act quickly

Handling Caller Deception

Our AI detects subtle voice cues and speech patterns that may indicate dishonesty or manipulation during conversations.

By identifying potential deception in real time, agents and supervisors can minimize fraud and improve business outcomes.

Outcomes

Flag deceptive patterns and alerts agents or supervisors instantly
Combat social engineering and/or phishing attempts where they start
Resolve disputes faster and help protect business' people and assets

Artificial Intelligence Is Customer|Sales|Compliance|Retention|Operations Intelligence

Our platform is built for organizations looking to modernize and elevate every customer interaction.

It serves as the intelligent backbone for teams across support, sales, compliance, and product strategy.

Artificial Intelligence Is Customer|Sales|Compliance|Retention|Operations Intelligence

Our platform is built for organizations looking to modernize and elevate every customer interaction.

It serves as the intelligent backbone for teams across support, sales, compliance, and product strategy.

Why We’re Different

Unlike legacy systems or stitched-together APIs, our platform is built from the ground up to deliver seamless, intelligent call experiences.

Call Data Foundation is engineered to analyze all conversations in real time, providing actionable insights as calls happen — not after.

Every interaction becomes a source of truth, revealing sentiment shifts, intent, risk signals and opportunities for improvement. With a modular design & native AI capabilities, our platform turns friction into clarity and insight at every step.

Analyze

Understand

Track

Coach

Detect

Real-Time Conversation Coverage

Monitor 100% of customer conversations as they unfold in real time. Unlike traditional QA methods that sample just a fraction, our system captures every interaction.

This ensures complete visibility and eliminates blind spots in quality, compliance, and experience.

The moment a call begins, analysis is already in progress—no delays or post-processing required. Gain immediate insight into performance and risk at scale.

Sentiment Shifts, Explained

Track emotional tone and momentum across every conversation with precision.

Our platform highlights when sentiment changes—whether positive or negative—and identifies what triggered the shift. You can view these moments in context, alongside transcripts and speaker behavior.

This empowers teams to better respond in the moment and refine messaging strategies over time. No guesswork—just clear emotional intelligence, powered by AI.

Customer Journey Mapping

We unify all call data into a single, continuous customer profile. Every call builds on the last, mapping sentiment, topics, and outcomes across the lifecycle.

This lets you understand long-term trends—not just isolated moments. You’ll know how a customer’s sentiment has evolved, where friction occurred, and how it was resolved.

It’s the missing link between conversation and customer lifetime value.

Live Agent Guidance

Our AI provides real-time coaching directly to agents during calls.

Whether suggesting a better phrase, flagging a policy violation, or recommending a product, it happens as the conversation unfolds. No need to wait for post-call reviews or manual QA.

This accelerates training, boosts agent confidence, and increases consistency. Every call becomes a learning opportunity—without interrupting the experience.

Risk & Deception Signals

Automatically detect hesitation, evasion, or unusual phrasing that may signal risk.

Our models are trained to recognize subtle behavioral patterns in speech. These alerts help surface compliance issues, trust concerns, or objection-handling challenges before they escalate.

Detection is passive, fast, and accurate—built into every call without extra configuration. It’s like giving your team sixth-sense awareness in every conversation.

Real world scenarios made possible with Call Data

Scenario 1

Sales Optimization

Before
Sales teams rely on manual call reviews and inconsistent scripting, leading to missed buying signals and low close rates. Sales training is difficult to scale.

After
AI analyzes every sales call for tone, sentiment, keyword triggers, and objection handling, guiding reps with real-time recommendations and insights.

Impact
🚀 Up to 30% increase in conversion rates
⏱️ A 48% reduction in ramp-up time for new sales representatives.

Source(s): Convin, Dragonfly AI

Scenario 2

Customer Retention

Before
Unhappy customers are only detected after escalation or cancellation, with no clear indicators of dissatisfaction during earlier interactions.

After
Sentiment analysis and journey tracking flag at-risk customers in real time, enabling proactive outreach and personalized recovery efforts.

Impact
📉 33% higher customer retention rate than competitors not using AI.
💬 A 32% increase in customer satisfaction scores.

Source(s): PenfriendAI, SmartReach

Scenario 3

Call Center Efficiency

Before
Manual quality assurance processes review less than 5% of calls. Agent coaching is reactive and inconsistent, leading to poor resolution rates.

After
AI automatically scores 100% of calls, provides real-time coaching and surfaces trends that inform targeted training and provides reliable coaching.

Impact
💰 Increase agent effectiveness and improve first-call resolution rates by 30%.
⚡ A 50% reduction in QA costs with AI automating the feedback process.

Source(s): McKinsey, Revenue IO

Scenario 4

Compliance Monitoring

Before:
Compliance checks rely on manual audits, often missing violations or inconsistencies in call scripts and disclosures which increases legal risk.

After:
Natural Language Processing (NLP) monitors calls in real time, flagging non-compliant language, missed disclosures and regulatory violations.

Impact:
⚖️ Reduce regulatory fines and legal penalties by up to 55%
🔍 5x increase in compliance coverage without additional headcount

Source(s): GryphonAI and Insight7IO

Scenario 5

Product & Market Intelligence

Before:
Insights into customer needs, competitor mentions and product feedback are anecdotal, gathered slowly through surveys or manual notes.

After:
AI surfaces real-time trends and reveals unmet needs, product issues and emerging market demands directly from customer conversations.

Impact:
📊 A 20% to 50% reduction in time-to-market for new products and features.
📈 Gain 29% higher revenue growth compared to non-AI peers.

Source(s): PR Newswire, Plivo

How it Works

📞 A call begins

The customer initiates a call, and the system immediately starts tracking the session. This includes metadata such as caller ID, call purpose, and routing logic to match the right agent. From the very first second, the platform is listening and learning.

🧠 Live AI layer activates

As the call progresses, our AI analyzes voice signals, keywords, sentiment, and conversational flow in real time. This intelligence works silently in the background, identifying intent, emotional tone, and potential risk indicators. It adapts as the conversation evolves—no lag, no delay.

🗣️ Agent receives real-time prompts

Based on live analysis, agents are provided with context-aware coaching and suggestions. This includes tailored responses, objection-handling tips, and even upsell recommendations. Prompts appear non-intrusively, allowing agents to stay focused while improving call outcomes.

📊 Insights and actions are logged after call

When the call ends, a complete summary is generated automatically—including sentiment arcs, speaker roles, and key action items. This data is instantly available to supervisors, CRMs, and analytics dashboards. No manual notes, no transcription delay—just structured intelligence.

🔁 Feedback loop improves over time

Insights from past calls directly inform future agent training, product enhancements, and operational decisions. The system continuously learns from every interaction to refine recommendations and surface trends. This creates a virtuous cycle of performance and experience improvement.

Call Data begins delivering value the moment a customer interaction is initiated. As soon as a call begins, the platform captures contextual metadata—such as call source, intent triggers, and historical data—laying the groundwork for intelligent routing and accurate engagement. Even before words are spoken, call data is already shaping the potential quality of the experience.

As the conversation unfolds, Call Data’s live AI layer activates to process the call in real time. It continuously interprets voice tone, pacing, keywords, and behavioral patterns, transforming raw speech into actionable insights. This enables the system to surface real-time guidance for agents—such as tailored responses, compliance reminders, or upsell opportunities—based on the evolving context of the call. And our AI adapts dynamically, making every second of the interaction smarter and more effective.

Once the call concludes, the platform doesn’t stop working. The system automatically logs structured summaries, action items, identifies the speakers and sentiment arcs, creating a complete record of the exchange. These insights are fed into broader analytics dashboards and training repositories, informing everything from agent performance reviews to product design.

As patterns emerge, the feedback loop engages—using collective call intelligence to improve routing logic, refine AI coaching, and shape customer journeys moving forward. Through every stage of engagement, Call Data turns business conversations into long-term strategic assets.