Tell us your goals. We’ll recommend the right model and outline a realistic timeline and budget.
Book a no-obligation strategy session. We'll discuss your goals, recommend the right model, and outline a realistic timeline and budget.
With outsourcing, a vendor delivers projects using its own shared staff. With a GCC, you get a dedicated team that works only on your products, follows your processes, and builds lasting knowledge of your business. It functions as an extension of your company, and under the partnership model it can eventually become fully yours.
Under the managed model, you can start with a pod of about five engineers. For a Build-Operate-Transfer partnership, we usually recommend planning for 15 or more engineers over the first year so the economics of your own entity make sense.
Not for the managed model. The team works under our entity. For the partnership model, we operate the center under our entity at first and then help you form your own Indian subsidiary when it's time to transfer.
All work product and IP are assigned to you by contract. Every team member signs confidentiality and IP assignment agreements, and we use dedicated, access-controlled environments, device management, and audit logging aligned with standards such as SOC 2 and ISO 27001.
Yes. We source and screen candidates, and you take part in final interviews and approve every hire. Many clients also send leaders to India during the launch to help set the culture.
Through market-competitive pay, clear career paths, meaningful product work, and strong engagement programs. If someone does leave, we manage backfill and knowledge continuity at no extra recruiting cost to you.
In two ways. First, your team works in an AI-augmented way, using governed AI coding, testing, and documentation tools to deliver faster. Second, you can add AI specialists or a full AI Center of Excellence to build GenAI and machine learning solutions that your firm sells to its clients. You choose the level of AI investment that fits your plans.
Yes. We only deploy enterprise-grade AI tools with data-retention and training protections, enforce a written AI usage policy, restrict which repositories and data can be exposed to AI tools, and log usage. For sensitive clients, we can use private or self-hosted models that keep all data inside your environment.
Always. Team mix, tech and AI stack, location, security controls, reporting, and pricing structure are all designed around your business. Many clients start small with one model and adjust as they grow.
Cost depends on team size, role mix, location, and engagement model. The managed model uses a simple monthly rate per resource. The partnership model uses open-book cost-plus pricing. We'll prepare a detailed total cost of ownership estimate during our first strategy session.