Solidroad, an AI startup that promises to solve one of customer service’s most persistent problems, has raised $6.5 million in seed funding to expand its platform that automatically trains customer service representatives and improves AI agents. Solidroad’s platform operates as what Hughes calls “an aggregation layer” that sits atop existing customer communication channels, analyzing every interaction between companies and their customers. Unlike AI solutions that attempt to replace human agents entirely, Solidroad focuses on making both human representatives and AI systems more effective. The platform automatically reviews 100% of customer conversations across multiple channels, applying AI-powered quality assurance that traditionally required manual review of just 1-3% of interactions. More critically, it transforms these insights into actionable improvements through individualized training simulations for human agents and refinement recommendations for AI systems. The system generates personalized training scenarios based on actual conversation patterns and identified skill gaps, creating targeted coaching at scale without adding process overhead or additional staff. Early customer results suggest the approach delivers measurable improvements. Crypto.com, the cryptocurrency exchange, used Solidroad to reduce average handling time by 18% while simultaneously improving customer satisfaction scores from 87% to 90% — a 3-percentage-point increase that represents significant improvement in the customer service industry. Marketing automation platform ActiveCampaign reported saving the equivalent of a full year of manual coaching time, which the company reinvested into higher-leverage training initiatives and faster feedback mechanisms. Customer engagement platform Podium cut new hire ramp time in half by embedding Solidroad’s AI simulations into their onboarding process.