Hire AI developers as a dedicated AI pod.

Every pod starts with three roles: an AI engineer, a full-stack engineer and a product manager. The AI engineer designs agents, retrieval pipelines and evaluations. The full-stack engineer builds the product around them: APIs, dashboards, integrations and the interfaces your users touch. The product manager runs the backlog, ties priorities to business outcomes and makes sure each week ends with something you can see working.

Because the same senior people scope, build and run the work, nothing gets lost in a handoff between a sales team and a delivery team. From day one, the pod joins your channels, works in your repositories and ships to your cloud, so the work is visible to you at every step.

• AI engineer: agents, RAG pipelines, evaluations and model benchmarking
• Full-stack engineer: web apps, APIs, integrations and admin consoles
• Product manager: backlog, priorities, weekly demos and reporting
• Shared: monitoring, tracing, runbooks and documentation

If your gap is narrow, such as adding a copilot to an existing product or grounding a chatbot in your documents, the work is mostly generative AI engineering: retrieval, prompts, guardrails and evaluation. Your own engineers may already cover the product side, and we size the pod around the AI work you actually need.

If you need a feature taken from idea to production, with UI, backend, integrations and someone owning the roadmap, a full pod is the better fit. It removes the cost of coordinating separate contractors who each see only part of the system. We help you decide on the scoping call, and the shape can change month to month as the work changes.

You can also start smaller. A fixed-price AI Pilot proves one workflow on your real data first, then a pod picks it up once the value is clear. The pilot's evaluation report and roadmap become the pod's first backlog, so no work is thrown away and the same people carry it forward.

There is no recruiting cycle and no stack of CVs to screen. You book a free 20-minute scoping call and walk us through your product, systems and constraints; we sign an NDA before you share anything sensitive. We then come back with a proposed pod, the first month's goals and the monthly fee, all agreed in writing before work starts.

Once you approve, the pod joins your chat channels, gets access to your repositories and cloud, and starts on the first month's goals. You see working software at the first weekly demo and every week after that, along with a short report on progress, risks and the decisions we need from you.

We are based in Gurugram, India, and work with companies worldwide remotely. The usual worries with an offshore dedicated development team are time zones, security and ownership, so we settle each one up front. Every pod has a daily overlap with your working hours, and we fix that window with you at kickoff so calls and reviews always land inside your day.

On security, code lives in your repositories and systems run in your cloud, with access controls and audit trails. On ownership, you own 100% of the code and IP, and all IP transfers to you. We document access and data handling so your security reviewers can check it, and our practices are built to support your audits.

• Daily overlap with your working hours
• NDA signed before you share anything
• Code in your repositories, systems in your cloud
• 100% of code and IP owned by you

A pod runs on a monthly retainer. The fee depends on the roles in the pod and how much time each one commits, and it is agreed in writing before work starts. Weekly demos, reporting and product management are part of the pod, not add-ons billed separately, so the monthly figure is the number you plan around.

You can scale up or down monthly. Add an engineer ahead of a launch or a heavy integration, or step back to a smaller pod once a product is stable and mostly needs running. Cloud hosting runs in your own account, so you see those costs directly, and we help keep them in check with routing, caching and budgets.