AI Pods
Development teams that use AI to deliver faster.
Engineering teams that use AI tools across every stage of development, delivering measured productivity gains of 3 to 10x.
Trusted by leading enterprises
ClearView
Engineering teams that use AI tools across every stage of development, delivering measured productivity gains of 3 to 10x.
Trusted by leading enterprises
ClearView The teams seeing 3 to 10x gains have not just adopted new tools. They have changed how they work, from how they write and test code through to how they debug and deploy.
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 set AI Pods apart.
Engineers trained on tools like GitHub Copilot, Claude, and ChatGPT as part of their daily workflow.
AI-assisted code generation, automated testing, faster debugging, and shorter review cycles.
AI Pods work inside your organisation, learning your business and systems over time. Average retention of 4.5 years.
Our teams actively teach your developers how to work with AI tools through training, pairing, and coaching.
From assessment to delivery in four phases.
Review current workflows, evaluate AI tool usage, identify opportunities
Select the right people, configure tools, design processes
Integrate the team, onboard AI workflows, deliver the first sprint
Measure adoption, refine workflows, transfer knowledge
What makes an Adaca AI Pod different.
3 to 10x measured gains across real client engagements.
Every process designed around AI tools, not added as an afterthought.
4.5-year average retention. Your team builds real knowledge of your business over time.
Faster delivery and lower cost per feature compared to traditional development.
Talk to our team about building a development squad that uses AI across every workflow.