Wildebeest is AI & machine learning agency in Los Angeles, CA, that focuses on to develop custom products for brands. Their clients range from funded startups to Fortune 50 global brands. Their talented team of designers and developers work very closely with clients to know their challenges and deliver the perfect custom solution for their demands. Their experienced team of full-stack developers is fairly comfortable to develop scalable, enterprise platforms and lightweight prototypes.
Last updated May 13, 2026
Project summary: We needed a learning experience that worked for both live classes and self-paced cohorts. Reporting for instructors and completion tracking for management were both essential.
This team handled a complicated integration landscape better than our previous vendors. They were practical about what should be built now versus deferred, which kept timelines realistic. Testing coverage was decent and they were transparent when defects appeared. We still maintain a short backlog of non-critical enhancements, but the platform is already delivering value.
Strong integration work with third-party systems and proactive monitoring setup
A few UI polish items spilled into post-launch, though core functionality was stable
Project summary: We needed to modernize underwriting and customer onboarding without weakening audit controls. The scope included workflow automation, approvals, and data traceability for compliance reviews.
The project started with some ambiguity on our side, and they helped structure it without overcomplicating scope. Their discovery artifacts were clear, and engineering execution was disciplined. Performance improved noticeably after launch, especially for high-traffic workflows. A few UI details required polish post-release, but response time from their support team was good.
Strong integration work with third-party systems and proactive monitoring setup
Timezone overlap was limited on some days, so urgent clarifications occasionally slipped by 24 hours
Project summary: We wanted to reduce admin overhead across appointments, claims follow-up, and clinician handoffs. The project needed secure data handling plus dependable integrations with existing systems.
Good execution with realistic expectations. They did not overpromise, and that made planning much easier on our side. We had one integration issue with a third-party API rate limit that impacted timelines briefly, but they implemented retry handling and monitoring quickly. End result: reliable delivery and a solid foundation for phase two.
Good domain understanding, thoughtful architecture choices, and clean handoff documentation
Would prefer more proactive release notes for minor hotfixes