Embedded engineering teams equipped with AI tools and methodologies that dramatically accelerate software delivery while maintaining exceptional quality.
Trusted by leading enterprises
ClearView
Most teams use AI tools superficially. The teams getting 3-10x gains have restructured their entire workflow around AI-native practices.
3-10x
Measured productivity gains
Adaca
90%
Teams underutilise AI tools
GitHub
48hr
Developer onboarding time
Adaca
4.5yr
Average developer retention
Adaca
Four capabilities that make AI Pods the fastest way to build software.
Copilot for code generation, Claude for architecture, ChatGPT for documentation and research.
AI-driven code generation, automated testing, and intelligent refactoring that compress weeks into days.
Long-term teams that build deep domain knowledge. Your AI Pod becomes part of your organisation.
Training your existing team in AI-native development practices through pairing and workshops.
From assessment to AI-native delivery in four phases.
AI maturity evaluation, workflow analysis, tool stack assessment, productivity baseline
AI-skilled talent selection, tool configuration, methodology setup, quality gates
Team integration, AI workflow onboarding, first AI-enhanced sprint, baseline comparison
Continuous AI tool adoption, workflow refinement, productivity measurement, knowledge transfer
What separates Adaca AI Pods from teams that just happen to use Copilot.
3-10x measured productivity gains across real client engagements.
Every workflow and decision point designed around AI-native practices from the ground up.
4.5-year average retention. Your AI Pod builds deep context in your domain and your business.
Faster delivery, lower cost per feature, and higher quality than traditional development.
Talk to our team about building an AI-native development squad.