TestBox

Releasing our 24/7 AI Sales Engineer for when your buyers want to go deep at 9pm on a Sunday night but nobody's there to help them. Across 1000's of Sandboxes we know that when buying committees get hands-on with your product during the sales cycle, win rates go up 4x. But here's the thing... The number one fear is that buyers will get lost, frustrated and confused. They'll hit a wall, not ask for help and just give up. Your rep follows up Monday. "Hey just checking in!" The deal is already cooling. So you're stuck. But you can't be in every sandbox. Your SEs definitely can't. And every buyer who needs hand-holding is a call you have to schedule, a week added to the cycle, a deal that slows down because a human had to be in the room. So we built TestBox's Sandbox Copilot to put an SE in every sandbox. It's an AI copilot that sits right inside the product alongside your buyer. Fully personalized to them and able to adapt based on their goals. Not just about answering their questions like a knowledge base but actually taking them through the product, taking action for them, and helping them at every step. Then it turns every sandbox into deal intelligence. Every question they ask, every moment of friction they experience. All captured and surfaced back to your reps so the next call starts with context of what they wanted to know more about or where they found challenges instead of just a "so, what did you think?" Roll-up all this intelligence for individual buyers, the buying committee, and across your entire prospect base so you know where to adjust your selling messages and the product frictions DURING your sales process before they become a customer.

Your buyer doesn't care about Acme Corp or that "this is just a demo environment". They want to see themselves in your product. Nothing else matters. But personalizing a live demo today means hours of work by AE's, SE's, and engineering. Bulk data rebuilds, cleanup and more. Or just... not doing it and hoping the buyer connects the dots themselves. So most teams only personalize for the big deals while the rest get the generic version. Same fake company. Same irrelevant numbers. Same "just imagine this is your data" conversation. You need to be able to personalize for specific people without hours of effort. We just launched Surface Editor at TestBox. - Swap company names, logos, images, and labels in one click. - Need a chart that tells the right story for a specific vertical? Describe it. AI builds it. - Create saved profiles for healthcare, e-commerce or whatever for the whole org No re-engineering. No cleanup between calls. Every rep can make every demo feel like it was built for that buyer. Because the demo that feels like theirs is the one that builds trust and confidence. And ultimately helps you win.

We announced our Series A 48hrs ago. It's been non-stop calls since then. All about the Data Generator. But can't I just use the Faker library? Sometimes… but AI features don't exactly work with random data. Every call so far has been about optimizing for two things: speed and story Every product team needs realistic data for development, testing, and demos. You can use Faker or an equivalent if you want random names and numbers and don’t care about the story or making AI features work. Our critical insight: don't start with the scale or types of data you want. Start with the story you want to tell, everything falls out from there. Without a good story, you can't create data that ties together consistently and actually makes sense. The data has depth because we've spent years mapping how data actually lives inside products with our Product Graph. It's this approach that powers 10Ks of call transcripts across Gong, Apollo, and Peopleai. And 10Ks of invoices and accounting details across QuickBooks and Tabs. Three steps: - You partner with the agent to create your best story. - Share your data schema or it creates one for you. - Build a sample, edit if needed, then let it loose to generate all the records. If you're an engineer tired of writing seed scripts, a product team proving the value of an integration and AI features, or a demo engineer tired of environments that look obviously fake this is for you. Really proud and impressed by Deyton Sehn who drove this and Alex Nauda, Evelyn Chan, Kevin Small, Paulo Molarinho, Pamela Maria da Silva, Gustavo André Cauzzi who brought it to life. Link to try it with extra credits this week in the comments.