Custom Software Development
Built by Engineers Who Own the Outcome.

It depends on scope, and anyone quoting a number before they've heard the details is guessing. The biggest cost drivers are the number of user roles, third-party integrations, and how much of the product is genuinely new versus standard. We scope your project on a discovery call, send a written proposal with a timeline and recommended tools within 48 hours, and quote fixed-price when requirements are clear enough to support it.

Yes. First-time founders racing to ship an MVP are one of the three kinds of client we work with. We help you decide what belongs in version one, build it on tools that won't need a rewrite when you grow, and hand over a codebase you own, so you can raise, hire, or keep building with us.

We work with startups, growing companies, and established businesses in any industry. Clients usually come to us to build a product from scratch, add engineers to an existing team, or update old software. Most of the work is software sold to businesses (B2B SaaS), internal tools, data platforms, websites, and AI-powered products.

Yes. Most of our clients are international. Our engineers work from India, the United States, the United Kingdom, France, the Netherlands, and Australia, so there is almost always overlap with your working day, wherever you are.

Both. Fixed-price works best when requirements are clear. For evolving products, long-running builds, or extending your team, we use a monthly retainer or time and materials. We agree on the model during the first discovery call.

Yes. AI is a core service. We have production experience with OpenAI GPT models and Anthropic Claude, including answers drawn from your own documents (RAG), document processing, smart search, and AI-powered interfaces. We also tell clients when a feature doesn't need an LLM (large language model) at all.

Yes. A chatbot answers questions; an agent also takes actions by calling your systems as tools, such as looking up an order or creating a ticket. We scope agent permissions tightly, test them against real examples from your data, and keep a person in the loop for anything risky.

Yes. Growing companies often bring us in when their plans are bigger than their team. We add engineers who know your tools on a monthly retainer, so you get the capacity without a six-month hiring cycle, and you only pay while you need them.

Start with RAG in most cases. RAG means the system looks up the right passages in your documents and hands them to the model. If answers need to reflect your own documents or data that changes, that works without retraining anything. Fine-tuning, which means training a model further on examples, is better for changing how a model writes or behaves than for teaching it facts. Most RAG problems we see are lookup problems, so we spend the time on how documents are split and searched first. We'll tell you which route fits after looking at your data.

All code, assets, and intellectual property developed for your project belong entirely to you upon project completion and final payment. We sign NDAs and IP assignment agreements as standard practice.

Typically within one to two weeks of a signed agreement, depending on project complexity and team availability. For urgent work, we can sometimes begin within days. Email info@centricbyte.com to talk through your timeline.

Our founding team leads every project, from the first discovery call through delivery, so there is one clear point of accountability on our side. Specialist engineers join for the parts of the project that need them.

Our main tools are Node.js, React, Next.js, Astro, NestJS, Express, TypeScript, PostgreSQL, MySQL, AWS, GCP, Azure, OpenAI, and Anthropic. If you already run something different, we work with your existing code rather than ask for a rewrite.

Security is part of the plan from day one. We build secure sign-in (including single sign-on where required), access by role, and encrypted data while it travels and while it is stored. For AI features, we review what data a model can see before it gets access, and we flag personal-information risks during discovery, not after launch.

We use AWS, GCP, or Azure, either setting up new hosting or working inside your existing setup. The cloud accounts are yours from day one; we don't build on anything only we can access. Automated releases (CI/CD) are set up so your team can publish updates on its own after handoff.

Yes. Every project includes a support period after launch, and most clients move to a monthly maintenance retainer after that for bug fixes, keeping the tools it depends on up to date, security fixes, and small new features. You're never locked into a long-term contract just to keep your own product running.