Founder-led companies
Owners and small leadership teams, typically $500K–$5M in revenue, still close to every part of the operation.
The drag
The founder is stuck in the weeds of work they should have handed off months ago — because there's no system to hand it off to.
What we build: The operating layer that lets the founder step out of day-to-day execution without anything breaking.
Growth-stage teams
Teams of roughly 3–20 people scaling faster than the processes that got them here.
The drag
Procedures that worked at ten people break at fifty. Tools multiply without integration, and the team manages work instead of doing it.
What we build: Integrated, documented systems that scale with the team instead of buckling as it grows.
Service businesses
Client-service companies running on manual, repetitive workflows — onboarding, delivery, reporting, billing.
The drag
The same work gets done by hand every week, inconsistently, and it depends entirely on whoever is carrying it.
What we build: Automated workflows with human checkpoints, so delivery stays consistent and stops depending on any one person.
Agencies & internal ops teams
Agencies and the operations functions inside larger companies, responsible for keeping the work flowing.
The drag
Disconnected platforms, manual handoffs between sales and delivery, and reporting cobbled together across tools.
What we build: Connected systems and clean handoffs between people and software, so nothing falls through the cracks.
Teams that want practical AI
Companies that see AI's potential but want real implementation, not promises or demos.
The drag
Most platforms are built for enterprise, and most vendors advise without building. The gap between AI's potential and daily operations stays wide.
What we build: AI agents deployed into real workflows — intake, routing, drafting, review — with a human in the loop where judgment matters.