SaaS Product Development
Design, build, and scale secure, high-performance SaaS applications with rich UX, robust backends, and revenue-ready features.
We design, build, and deploy custom AI applications end-to-end — from data pipeline setup and model selection or fine-tuning, to integration with your existing systems and ongoing monitoring. This covers predictive analytics, intelligent automation, computer vision, natural language processing, and agentic AI workflows, tailored to your specific business problem rather than a one-size-fits-all model.
Both. Many of our engagements integrate AI capabilities — recommendation engines, chatbots, document intelligence, forecasting — into an existing application you already run. Others are ground-up AI-native products. We start with a technical audit of your current stack to recommend the most practical path.
We work across leading LLM providers (OpenAI, Anthropic, Google), open-source model families, and classical ML frameworks such as TensorFlow, PyTorch, and scikit-learn, choosing the right tool for the problem rather than defaulting to the newest trend. For most business applications, this means combining a well-tuned model with solid data engineering and guardrails, not just an API call.
A focused proof-of-concept or MVP AI feature typically takes 4-8 weeks; a production-grade AI application with custom data pipelines and integrations usually runs 3-6 months. We scope this precisely after an initial discovery call, since AI project timelines depend heavily on how ready your underlying data is.
Cost depends on model complexity, data volume, and integration scope. We offer both fixed-price engagements for well-defined AI features and dedicated-team engagements for ongoing AI product development. Contact us for a scoped estimate based on your specific use case — we don't believe in one-size-fits-all AI pricing.
With 18+ years building enterprise software for clients like ITC, L&T, and Titan, we bring production engineering discipline to AI projects — not just prototypes that never ship. Our AI work is grounded in real data infrastructure and integration experience, so what we build actually goes live and scales.
You own 100% of the code, designs, and intellectual property once the project is paid for in full - there are no licensing fees or hidden claims on what we build for you.
Yes. We offer post-launch support and maintenance plans covering bug fixes, performance monitoring, and minor enhancements, so the product keeps running smoothly after handover.
Yes. We sign an NDA before any discovery call and treat your business requirements, data, and source code as strictly confidential throughout and after the engagement.
Who will actually work on our AI application development project - juniors or experienced engineers?
Your project is staffed with vetted, experienced engineers matched to the specific technologies involved, not the first available resource - you can review profiles before work begins.
We offer fixed-price, time & material, and dedicated-team models depending on how well-defined your requirements are, so you only pay for the structure that fits your project.
You get regular sprint demos, a shared project tracker, and a single point of contact, so you always know what's been built and what's next without having to chase status updates.
Yes. We architect for growth from day one - cloud-native infrastructure, modular code, and performance testing are built in, so scaling later doesn't mean rebuilding from scratch.
Share your requirements on a short discovery call - we'll scope the engagement, propose a timeline and pricing model, and you can be onboarded within days, not weeks.
