Montek Services helps you set up and run a dedicated offshore development center in India. We handle the office, hiring, payroll and compliance. The team works only on your product and reports directly to you.
An offshore development center, or ODC, is your own software team based in India. The developers, testers and team leads on it work only on your product. They are permanent staff and they stay with you. The same people join your calls every morning, follow your process and use your tools.
Montek takes care of everything around the team. Office space, hiring, payroll, statutory compliance, IT setup and daily administration are our job. You interview and approve every hire. After that, you run the team like any other team in your company, with your own standups, sprints and code reviews.
Most of our clients came to us because hiring in their home market was slow and costly and the roadmap could not wait. A team in Pune costs much less than a similar team in the US or Western Europe and it can be ready in a few weeks.
The reasons our clients keep their offshore development centers running year after year.
Full-stack web, mobile, cloud, data and AI engineers hired for your exact stack. You approve every CV before an interview is scheduled.
One monthly invoice covers salaries, office, IT and admin. No hidden charges, no surprise recruiter fees when you want to add a developer.
Pune is one of India's biggest engineering hubs, with thousands of experienced developers and fresh graduates joining the market every year.
Add a parallel team instead of stretching your existing one. Features that sat in the backlog for quarters start shipping in sprints.
Plan the time-zone overlap well and work continues after your office closes. The code you review in the morning was written overnight.
Grow from three engineers to thirty without signing a new lease, or trim the team between releases without severance headaches.
India has been the main destination for offshore software development for over two decades. The reason is not only cost. The mix of talent, English fluency and mature IT infrastructure is hard to find anywhere else.
Pune in particular offers big-city engineering talent without big-city attrition: a huge university base, hundreds of product companies and living costs that keep teams stable for years.
Cost advantage that holds up Salaries and operating costs are significantly lower than in the US or Europe, so the same budget funds a larger, more senior team.
A young, skilled workforce India produces more engineering graduates than any other country and Indian firms routinely hold ISO and CMM quality certifications.
English as a working language Daily standups, documentation and code comments all happen in English. There is no translation layer between you and your team.
Engineers who keep current Indian developers move quickly onto new frameworks, cloud platforms and AI tooling and bring that into your codebase.
Government support and infrastructure Dedicated IT parks, reliable connectivity and policies that allow foreign companies 100% ownership of their Indian operations.
Our ODC teams also build AI features and most of that work is very practical. A support chatbot that answers from your product documentation. A model that flags which invoices are likely to be paid late. Resume screening that gives HR a shortlist in minutes instead of days. We built features like these into MSuite, our own HRMS product, so this is work we have already done for our own customers, not something we only talk about in proposals.
The engineers work in Python with TensorFlow and PyTorch and connect large language models such as GPT and Claude where they fit the problem. When a simple rules-based approach can do the same job at a lower cost, we say so and build that instead.
New AI work starts with a small proof of concept on your own data. If the results are good, it moves to production. If they are not, you find out early and spend very little. Your data stays in your infrastructure and the models we train for you belong to you.
Chat and voice assistants that read from your own documents and databases, so answers come from your content and not from guesses.
Forecasting, scoring and classification models delivered as APIs inside your existing systems, with monitoring that tells you when accuracy starts to drop.
The AI screening and analytics in MSuite HRMS run for real customers every day. Your ODC team comes from the same engineering group.
The setup process is simple. Most clients go from signing to a working team in four to six weeks.
We work out the roles, seniority mix and tech stack you need and agree on a single monthly cost per seat before anything is signed.
Our recruitment division shortlists candidates; you interview and make the final call on every single hire. No one joins your team without your yes.
Office space, workstations, licenses, security policy, NDAs and statutory compliance. We handle all of it and you review everything.
The team plugs into your sprints from day one. Add seats as the roadmap grows; we manage retention, appraisals and replacements.
Most clients start with three to five people, usually a lead, two or three developers and a tester and grow once the working rhythm is set. There is no minimum team size. What matters is that the work is ongoing rather than a one-off project.
You do, fully and from day one. Every team member signs an IP assignment and NDA in your favour, the code lives in your repositories and nothing we build for you is reused elsewhere. If you ever wind down the center, everything stays with you.
Four to six weeks is typical from agreement to first sprint. Some specialised roles take longer to fill and we tell you that during planning, not after you have signed.
Pune's working day overlaps comfortably with European mornings and can be shifted to cover several hours of the US East Coast afternoon. Most clients settle on a three-to-four-hour daily overlap for meetings and pairing, with the rest of the day as focused build time.
Yes. We staff ODC teams with machine learning engineers alongside full-stack developers and we develop AI features in our own MSuite HRMS product. A typical path is to add one ML engineer to an existing team, prove value with a small proof of concept and scale from there.
Tell us what you are building and the roles you need. We will come back with a team plan, a per-seat cost and a realistic timeline within two business days.