Today, we're announcing that we've raised a $3.2M Seed round led by Blake Robbins at Hidden Capital and an $18M Series A round led by Jack Altman at Alt Capital.

When we started Parahelp 12 months ago, it was clear to us that AI would fundamentally change how customer support teams work.

At the same time, we saw how incumbent solutions in the space were failing to launch valuable AI solutions, and ‘AI-native’ startups were scaling consultant-first solutions, resulting in long onboarding timelines and pricing that was only accessible to large enterprises.

As the first natural step, we reached out to all the companies we admired most, which all happened to be fast-moving AI companies. From talking to them, we quickly saw a pattern: They had all tried one or multiple AI support solutions but never found a solution that really moved the needle.

In a dream world, they would like a solution that:

1. Could be set up in 1 day without any engineers

2. Reliably resolved complex tickets, including billing requests and technical troubleshooting, by using tools like Stripe, Slack, and Linear

3. Automatically optimized itself as their knowledge and procedures changed (which happens daily for fast-moving software companies)

Fast forward to today, and those three points encapsulate the product we’ve built.

We're now also live with many of the world's fastest-moving companies, such as by Perplexity, Replit, HeyGen, Framer, Bolt.new, Photoroom, and more (tba), and we're proud to say that 0% of the companies we've onboarded have churned.

With our announcement today, we’re also launching our AI Manager, which means that the Parahelp platform now includes two core AI agents:

1. The Parahelp agent - an AI support agent that reliably resolves complex support tickets end-to-end in a company’s ticketing system.

2. The AI Manager agent - a mix of an AI forward-deployed engineer and an AI data analyst that our customers can use 24/7 to manage their Parahelp agent effectively. For example, the AI Manager can configure new complex Agent Operating Procedures, test new configurations in specific support scenarios, automatically optimize knowledge and procedures based on historic tickets, and find insights from previous tickets (e.g., bug report patterns and feature requests)

As a team, we’re very excited about what the AI Manager enables us and our customers to do. Until now (and still with other solutions), effectively managing an AI support agent has been a full-time job of manually analyzing, configuring, and testing it - and it has required skills such as prompt engineering and data analysis. With the AI Manager, all of this is automated.

At the same time, our upcoming releases are more stacked than ever, and we’re excited about everything we know we can build to continue to push the frontier.

If it excites you to build on the frontier of applied AI for customer support, we’d love to hear from you! See our Careers page.

Lastly, a massive thanks to the investors who have backed us in our Series A and Seed rounds and earlier. Special thanks to Alt Capital (Jack Altman), Hanabi (Bryan Offutt), Y Combinator, Hidden Capital (Blake Robbins), Perplexity Fund, ByFounders, and Skyfall Ventures.