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About SymTrain

AI Simulation Training for Contact Center Teams

SymTrain helps teams reduce onboarding time, automate coaching, and build agent readiness before every live interaction.
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Our Mission

Make every agent ready before going live.
We use AI simulation training to help teams practice real scenarios, build confidence, and perform at a higher level from day one.

Our Motivation

Customer outcomes drive everything we build.
From faster onboarding to improved CSAT and lower attrition, we focus on measurable performance improvements.

Our Values

Clarity. Performance. Continuous improvement.
We build practical solutions that deliver results, earn trust through consistency, and evolve with customer needs.

Our Story

Traditional training is not built for how contact center teams operate today.

SymTrain was founded after Dan saw a consistent gap. Agents were expected to perform quickly, but rarely had the opportunity to practice real customer interactions before going live. The result was slower onboarding, inconsistent performance, and low confidence in critical moments.

SymTrain solves this with AI simulation training.

Teams can replicate real customer scenarios, allowing agents to practice, receive feedback, and improve before it matters. The platform integrates into existing workflows, making it fast to deploy and easy for teams to adopt.

Today, SymTrain helps organizations reduce training time, accelerate readiness, and improve outcomes like customer satisfaction, efficiency, and retention across the entire employee lifecycle.

Measured Impact Across the Training Lifecycle

Average time saved across key stages of training and development

Candidate Assessment

Faster screening and higher-quality hires

Agent Onboarding

Reduced time to proficiency for new hires

Reskilling

Train agents on new topics, products, and processes

Based on aggregated customer results across hiring, onboarding, and ongoing development.

These results are drawn from live deployments across contact center environments.

See What SymTrain Delivers in Real Environments

Estimate your ROI
Estimate your ROI

Who We Are

Dan McCann

CEO & Chief Learning Officer

Scott Drake

Chief Technology Officer

Reece Lincoln

Chief AI Officer

Kalpana Verma

Director of Customer Success

See How SymTrain Improves Training Outcomes

Explore how AI simulation training accelerates readiness and drives measurable performance improvements.
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Dan-McCann

Dan McCann

CEO & Chief Learning Officer

Dan McCann founded SymTrain in 2018 after leading and scaling contact center teams, where he saw firsthand how traditional training failed to prepare agents for real customer interactions. He built SymTrain to give every employee the opportunity to practice, receive feedback, and perform with confidence before going live. Dan leads product vision, go-to-market strategy, and the company’s focus on measurable training and performance outcomes.

Scott-Drake

Scott Drake

Chief Technology Officer

Scott Drake is a technology and operations leader with more than 20 years of experience building scalable platforms across broadcast, mobile, and digital products. At SymTrain, he leads the architecture and delivery of the AI simulation training platform, ensuring reliability, scalability, and performance for enterprise contact center environments.

Reece-Lincoln

Reece Lincoln

Chief AI Officer

Reece Lincoln has been working at the intersection of AI, engineering, and leadership since 2018. As Chief AI Officer and Head of Engineering at SymTrain, he leads the development of the AI systems that power the platform, spanning model development, data science, and the underlying infrastructure. He holds a degree in Mathematics from Vanderbilt University and a Master’s in Analytics from Georgia Tech.

Kalpana-Verma

Kalpana Verma

Director of Customer Success

Kalpana Verma leads global customer engagements focused on adoption, value realization, and measurable business outcomes. She partners with enterprise contact center teams to ensure seamless onboarding, scalable implementation, and long-term success, with a focus on improving agent performance through AI-powered coaching and data-driven insights.