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 — autocomplete here, a ChatGPT query there. The teams getting 3–10× gains have restructured their entire workflow around AI-native practices.
The difference is not which tools you buy. It is how deeply AI is woven into architecture decisions, code review, testing, deployment, and documentation. That is what an AI Pod delivers.
3–10×
Measured productivity gains
Adaca
90%
Teams underutilise AI tools
GitHub
48hr
Developer onboarding time
Adaca
4.5yr
Average developer retention
Adaca
Six capabilities that make AI Pods the fastest way to build software.
Every stage of the SDLC enhanced with AI: Copilot for code generation, Claude for architecture, ChatGPT for documentation and research.
AI-driven code generation, automated test writing, smart debugging, and intelligent refactoring that compress weeks into days.
AI-assisted pattern analysis, technical debt identification, and architecture recommendations grounded in your codebase.
AI-powered code review, automated security scanning, and intelligent quality gates that catch issues before they ship.
Long-term teams that build deep domain knowledge, not rotating contractors. Your AI Pod becomes part of your organisation.
Training your existing team in AI-native development practices. Adoption coaching, upskilling workshops, and hands-on pairing.
From assessment to AI-native delivery in four phases.
What separates Adaca AI Pods from teams that just happen to use Copilot.
3–10× measured productivity gains. Not a marketing claim — measured across real client engagements with before-and-after velocity data.
AI is not bolted on. Every workflow, every process, every decision point is designed around AI-native practices from the ground up.
4.5-year average retention means your AI Pod builds deep context in your domain — not just your codebase, but your business.
Faster delivery, lower cost per feature, and higher quality. AI Pods give you the development economics your competitors wish they had.
Compare our engagement models to find the right fit for your team.
AI Pods
Dedicated Teams
Staff Augmentation
Best for
AI Pods
Teams that want 3–10× velocity through AI-native workflows
Dedicated Teams
Long-term product development with stable teams
Staff Augmentation
On-demand scaling with individual engineers
Best for
Teams that want 3–10× velocity through AI-native workflows
Long-term product development with stable teams
On-demand scaling with individual engineers
AI integration
AI Pods
AI-native workflows throughout the SDLC
Dedicated Teams
Team uses AI tools at their discretion
Staff Augmentation
Individual AI tool usage varies
AI integration
AI-native workflows throughout the SDLC
Team uses AI tools at their discretion
Individual AI tool usage varies
Engagement
AI Pods
Dedicated AI-equipped squad
Dedicated Teams
Ongoing embedded team
Staff Augmentation
Individual placements in your team
Engagement
Dedicated AI-equipped squad
Ongoing embedded team
Individual placements in your team
Typical duration
AI Pods
6+ months
Dedicated Teams
12+ months
Staff Augmentation
1–12 months
Typical duration
6+ months
12+ months
1–12 months
Starting from
AI Pods
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Dedicated Teams
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Staff Augmentation
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Starting from
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Still have questions?
Talk to our teamAI Pods are equipped with advanced AI development tools and methodologies that enable 3–10× productivity gains. Team members are trained in AI-assisted coding, automated testing, and intelligent code generation — it's a fundamentally different way of building software.
Our teams utilise GitHub Copilot, Claude, ChatGPT, and custom AI tools for code generation, review, testing, documentation, and architectural decisions. We continuously evaluate and adopt new AI tools as they emerge.
AI tools enhance code quality through automated review, intelligent testing, and consistent coding standards. Human oversight ensures all AI-generated code meets our quality standards before merging.
Yes. Knowledge transfer is a core part of our engagement. We help your existing teams adopt AI-powered development practices through training, pairing, and collaborative work.
We typically see 3–10× productivity improvements depending on the project type and AI tool adoption level. Complex tasks like code review, testing, and documentation see the highest gains.
All AI tools are configured with enterprise-grade security. Code and data never leave your approved environments. We support air-gapped AI tooling, on-premises models, and SOC 2 compliant workflows for regulated industries.
Still have questions?
Talk to our teamTalk to our team about building an AI-native development squad.