Companies that use Ada

Source: Analysis of Linkedin bios of 898 companies that use Ada

I analyzed these companies and found that Ada's customers span an incredibly diverse range of businesses, from financial services giants like J.P. Morgan and Salesforce to direct-to-consumer brands like Feastables and Thuma to crypto platforms like Bitbuy and Phemex. What unites them is that they're customer-facing companies dealing with high volumes of customer interactions. They sell products or services directly to consumers or businesses, whether that's banking, insurance, SaaS tools, e-commerce goods, travel services, or online platforms.

The maturity levels vary widely. I see established enterprises like Walmart and J.P. Morgan with tens of thousands of employees, mid-stage growth companies like Calendly and ClickUp in the hundreds to low thousands, and earlier-stage startups like Copper and Newton Baby with under employees. Many have raised significant venture funding (Articulate's $1.5B, ClickUp's $400M), while others are post-IPO or privately held. This suggests Ada serves companies across the full lifecycle, though there's a concentration in the growth and scale-up phase.

Source: Analysis of tech stacks from 898 companies that use Ada

I noticed that Ada's users are customer experience focused companies with sophisticated support operations and a strong emphasis on measuring customer satisfaction. The presence of tools like Impact, UserTesting, and multiple AI-powered support platforms tells me these are businesses that treat customer service as a strategic function, not just a cost center. They're investing heavily in understanding and optimizing every customer interaction.

The pairing of Ada with Decagon AI and GC.AI Enterprise is particularly revealing. These companies aren't just using one AI customer service tool, they're layering multiple automation solutions together. This suggests they're either managing extremely high support volumes or running complex multi-channel operations where different AI tools handle different aspects of the customer journey. The strong correlation with Segment Business Plan reinforces this, showing they're capturing detailed customer data across touchpoints and need sophisticated tools to make sense of it all. UserTesting appearing frequently makes perfect sense too, these teams are clearly validating their automated support experiences to ensure the AI interactions actually work for customers.

The full tech stack reveals these are mature, operations-focused companies that have moved beyond basic growth hacking. The presence of Pagerduty across 61 companies signals they're running mission-critical services where uptime matters tremendously. They're likely product-led businesses that have reached scale and now need to support thousands or millions of users efficiently. The investment in both automation and testing tools suggests they have the resources and sophistication of late-stage startups or established companies.