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Builds AI agents for complex operations across healthcare, energy, marketplaces, consumer electronics, waste management, and logistics. Forward-deployed engineers embed with customer teams to build, maintain, and expand bespoke AI agents for ticket-driven workflows.
Customer voice
Quotes published on Dataland's official website.
Choosing Dataland is one of the best decisions I’ve made. What surprised me is they don’t just hand you a tool and expect your team to build everything themselves. They showed up, learned how our operations actually work, and started delivering results immediately.They now do the work of dozens of FTEs across patient experience, medical assistants, billing, and referrals. As we’ve scaled from Series B through Series D, Dataland is the reason we didn’t have to hire linearly to keep up. My team loves working with them - they’re just smart people who are nice, and that matters more than people think.
Our support is genuinely complex. We process hundreds of millions of shipments a year across 85+ carriers, so when something goes wrong, our team is filing claims with UPS, running fraud verifications, managing refunds in Stripe, and logging into carrier portals that don’t even have APIs.Most AI vendors would look at that and tell you to build the workflows yourself. Dataland embedded with our team, learned all of it, and hit 50% auto-resolution in a one-month pilot across seventeen use cases. They function like a human agent - same portals, same credentials - except spinning up a new use case is faster than onboarding a new hire.
Alright, I am not crazy. I had to have everyone else validate that this is really f****** cool stuff.Dataland’s resolutions aren’t even remotely the kind of responses we can provide with something like our existing AI vendor or our in-house engineering team’s AI today. It’s all written better than a human agent would do.
This is the broad commercial model reported for Dataland. Product-level terms are listed below when available.
Trust profile