We work inside real enterprise conditions
These engagements were shaped around legacy systems, approval chains, security review, and teams that do not have patience for fragile workflows.
A curated set
of high stakes
projects
You have 3 questions: can this team work inside a complex organization, can they ship something the business will actually use, and can they tie the work to measurable outcomes? This page will answer that definitively.
Digital Media & Sports
The World's Largest Golf Course Database
GOLF.com needed a course discovery experience worthy of one of the most visited golf sites in the world. In partnership with Open Links Golf, we built an AI-powered course finder that aggregated, enriched, and organized data on every golf course in the United States into a single searchable destination.
Material outcome
Course Finder now drives 20% of all traffic to GOLF.com, a site with 3.5 million monthly users
Traffic share20%
of GOLF.com traffic comes through Course Finder.
Monthly reach700K+
monthly users engaging with Course Finder pages
Courses indexed16,000+
golf courses with verified profiles in the database.
Hospitality & Leisure
Natural AI Voice Agents for Fortune 500
Golf courses were losing bookings to voicemail, hold queues, and after-hours gaps. The client needed a phone experience that matched the service standard of a premium golf brand across 40+ locations.
Material outcome
93% of calls resolved without human handoff
Call resolution93%
inbound calls resolved by the AI agent.
Revenue recaptured$2.1M
annualized booking revenue recovered.
Travel & Hospitality
Smart Golfing Vacation Itinerary Planner
Golf travel is booming. We built Birdie, an AI travel planner that generates hyper-personalized itineraries through natural conversation. Birdie has planned over 3,000 golf trips and earns referral revenue through an Expedia partnership.
Material outcome
3,000+ trips planned through Birdie, with referral revenue on every Expedia booking
Trips planned3,000+
golfing itineraries generated.
Revenue modelExpedia
commissions on hotel & flight bookings.
Talent Acquisition & HR Technology
Job Applicant Screening with Smart Forms
Recruiting teams burn thousands of hours on early-stage screening, most of it on candidates who don't pass a phone screen. We built Blueberry to find real talent without slowing the pipeline.
Material outcome
72% reduction in time-to-shortlist with higher quality candidates advancing
Screening time saved72%
reduction in time spent on candidate evaluation.
Quality-of-hire lift3.2×
more likely to receive an offer.
Enterprise Productivity
Collaborative AI for Teams
Enterprise teams were buying individual AI plans. We built CollabGPT to make AI a platform where teams could build documents together, and develop organizational intelligence. It served users across six countries before purpose-built tools from Google and others absorbed the category.
Material outcome
4,200+ active users before the category was absorbed by major platforms
Active users4,200+
users across 6+ countries.
Team output velocity2.8×
increase in document edit speed.
What enterprise teams tend to notice about us
The case studies vary by industry and problem, but they reflect the same way of working: grounded in business context, disciplined in execution, and serious about adoption after launch.
We don't just build 'AI demos'
The intelligence is only one part of the job. Interfaces, handoffs, controls, and operating rhythm are built so teams will actually use the system after launch.
We keep risk visible and manageable
Governance, traceability, human review, and staged rollout are built into the work early so momentum does not die in compliance, legal, or change management.
We are hired to move material metrics
Cycle time, error rates, service performance, capacity, conversion, and revenue protection are the measures that matter.