Your extended AI-native delivery team. Not a vendor. Not a freelancer. A dedicated pod that works like your in-house team — just faster and more cost-effective.
No management overhead, full team coverage, Scrum-ready, AI-accelerated, no gaps when someone is sick or leaves.
Dedicated to you only — not shared across multiple clients. Transparent daily communication. AI-native velocity at a fraction of the price.
Up to 60% lower cost, no recruitment time, no benefits overhead, no notice periods. Scale up or down with 2 weeks notice.
1 senior developer + AI agent assist
Best for extending an existing in-house team, specific feature development, or a contained module.
1 Technical PM + 2 developers + AI agents
Best for standalone product streams, greenfield features, or MVP development from scratch.
1 PM + 3-4 devs + QA + AI agents
Best for full product development, complex platforms, and long-term partnerships at scale.
We join your Slack, use your GitHub org, follow your engineering standards. Pod members feel like colleagues, not vendors.
IST with overlap for US EST, Singapore SGT, and Australia AEST. Async-first means timezone rarely blocks delivery.
Daily async standups in Slack, weekly sprint reviews, Friday demos. Scrum-ready from day one.
Add or remove developers with 2 weeks notice. No fixed headcount lock-in. We flex with your needs.
A typical week with your pod
One month. We recommend at least 3 months — the first month includes onboarding and process alignment. Month 2 onwards is where velocity really kicks in.
Yes. Add or remove developers with 2 weeks notice. We do not lock you into a fixed headcount.
Yes. Dedicated means dedicated. Pod members are not shared across multiple clients. Your project gets their full working day.
Tell your account lead. We replace team members within one sprint if there is a fit issue. You are never stuck with someone who is not working.
Documentation is part of every sprint. By the time an engagement ends, your codebase is documented, architecture is diagrammed, and a handover session is included in the final sprint.
Book a call. We’ll discuss your team structure, workload, and timeline — and tell you exactly which pod configuration makes sense.