AI & Intelligent Systems
AI development, generative AI, AI agents, chatbots and ML/MLOps.
- AI Development Services
- Generative AI & LLM Integration
- AI Agent Development
- AI Chatbot Development
- ML Model Development & MLOps
Custom software development that survives launch.
AI development, custom web and SaaS apps, native and cross-platform mobile, Shopify and headless commerce, plus cloud and DevOps, engineered to scale.
We design and build production software end to end: AI integration with retrieval and evaluations, custom web apps and SaaS platforms, MVPs for founders, native and cross-platform mobile on iOS, Android, React Native and Flutter, Shopify and headless commerce, plus AWS, cloud and DevOps. Senior engineering pods, India cost, global quality, on call after launch.
Senior engineering, not staffed seats
Cloud-native by default, modern stack across web and mobile, and AI-ready pods that take LLM features from prototype to production. The same engineers who scope your project architect it, build it, deploy it and stay on call after launch.
Cloud-native engineering
AWS, GCP and Azure builds with Terraform, CI/CD pipelines and observability wired in from day one. Right-sized cloud spend, not surprise invoices.
Modern stack across web and mobile
React, Vue, Next and Nuxt on web; Swift, Kotlin, React Native and Flutter on mobile; REST and GraphQL APIs that the next team can extend without rewriting.
AI-ready engineering pods
Production OpenAI, Anthropic and open-source LLM integration with retrieval, guardrails, evaluations and monitoring. Not a demo, a system on call.
The build layer is what compounds
AI, cloud and continuous delivery have rewritten what a software team is supposed to look like. The four numbers that frame every engagement we scope, sourced to the analysts and industry bodies tracking the shift.
- $1.5T
- Projected economic value AI could add annually across enterprise software and operations. The next decade of software is being rebuilt with AI inside it. Source: McKinsey · State of AI →
- 70%
- of digital-transformation programs miss their stated goals. The gap is rarely strategy; it is engineering rigor and change management at delivery. Source: McKinsey →
- 973x
- more frequent code deployments by elite DevOps teams versus low performers, with 6,570x faster lead time from commit to production. Source: Google · DORA State of DevOps →
- $254B
- Indian IT industry revenue in FY24, with services exports the global benchmark for senior engineering at scale. The structural reason we can ship at India cost, global quality. Source: NASSCOM Strategic Review →
Five engineering pillars, one delivery team
AI and intelligent systems, web and product engineering, mobile, e-commerce, and cloud and DevOps: everything it takes to ship production-grade software, under one roof.
Web & Product Engineering
Custom web apps, SaaS products, MVPs, WordPress, CMS and APIs.
- Custom Web Application Development
- SaaS Product Development
- MVP Development Services
- WordPress Development
- CMS Development (Headless & Strapi)
- API Development & Integration
Mobile App Development
iOS, Android, React Native and Flutter app development.
- Mobile App Development
- iOS App Development
- Android App Development
- React Native App Development
- Flutter App Development
E-commerce Development
Shopify, WooCommerce, Magento, BigCommerce and headless commerce.
- E-commerce Development
- Shopify & Shopify Plus Development
- WooCommerce Development
- Magento & BigCommerce Development
- Headless Commerce Development
Cloud, DevOps & Tech Consulting
AWS, DevOps, cloud migration and CTO-as-a-Service.
- Cloud Application Development & AWS Consulting
- DevOps Consulting Services
- Cloud Migration Services
- CTO-as-a-Service / Technology Consulting
What we do that other dev shops don't
Engineering that ships and stays shipped. Senior pods you can actually talk to, source code in your repo, and a delivery rhythm that survives the second sprint, not just the first demo.
- 01
Production AI, not prototypes
We ship LLM features that survive contact with real users: retrieval grounded on your data, evaluation harnesses, guardrails, human-in-the-loop where it matters, and monitoring you can actually read. Not a notebook demo, a system on call.
- 02
Senior engineers, not staffed seats
The same people who scope the project architect it, build it, deploy it and stay on call after launch. No bait-and-switch from senior pre-sales to a junior delivery bench, no hand-off to a team that has never seen your codebase.
- 03
Code you actually own, in your repo
All source, infrastructure-as-code and documentation live in your GitHub or GitLab from day one. No vendor lock-in, no proprietary platform tax, no "we will share it when the project ends". You own the IP because you should.
- 04
DevOps and cost-engineering built in
Terraform for infra, CI/CD for every deploy, observability and alerts wired to the channels your team already reads. We right-size cloud spend on the way in, not as a panic exercise the month your bill triples.
Built on a modern, proven stack.
Boring-where-it-counts, cutting-edge-where-it-pays tools. What we ship stays fast, secure, and maintainable long after launch.
Frontend
Frameworks that ship without dragging the team — fast, typed, opinionated.
- Vue & Nuxt
- React & Next.js
- TypeScript
- Tailwind CSS
Backend
Servers and APIs built to scale under real load, not babysit each release.
- Node.js
- Laravel & PHP
- Python
- REST & GraphQL APIs
Mobile
Native-feel apps across iOS and Android without doubling the team.
- React Native
- Flutter
- Swift / iOS
- Kotlin / Android
Cloud & DevOps
Pipelines and infra that get out of the way so the product can move.
- AWS
- Vercel & edge
- Docker
- CI/CD pipelines
Frequently asked questions
Straight answers on scope, timelines, pricing, and how we work, before you reach out.
Do you build production AI features, not just prototypes?
Yes. We integrate OpenAI, Anthropic and open-source LLMs into production with retrieval (RAG), guardrails, evaluations, monitoring and human-in-the-loop controls. We also build custom ML models with proper MLOps and deploy AI agents that automate multi-step workflows, with safety and cost controls baked in.
How much does custom software development cost?
It depends on scope and complexity. Smaller builds and MVPs are fixed-scope quoted; larger products and ongoing work run on a monthly engagement. We scope requirements on a free call and give you a clear estimate and plan before development begins.
How long does it take to build an app or MVP?
A focused MVP typically ships in a few weeks; full SaaS products, mobile apps, or platforms take a few months depending on scope. We shape the build into milestones so you see working software early and often, not just at the end.
Who owns the code and intellectual property?
You do. All source code and IP belong to you and are delivered in your own repository with documentation. There is no lock-in: your team or any other developer can pick it up and keep building.
What technologies do you build with?
We choose the stack per project: Vue/Nuxt and React/Next.js on the front end; Node, Laravel and Python on the back end; React Native, Flutter, Swift and Kotlin for mobile; AWS, Docker, Terraform and CI/CD for cloud and DevOps; plus OpenAI, Anthropic and Hugging Face for the AI layer. Proven tools, matched to the problem.
Do you provide ongoing maintenance and support?
Yes. After launch we offer maintenance, monitoring, and support so your product stays secure, updated, and reliable. We can also run as an on-demand engineering team for new features and iterations on a rolling basis.
Can you act as a fractional CTO or technology partner?
Yes. For startups and scale-ups without an in-house CTO, we plug in as fractional technology leadership: architecture reviews, hiring plans, vendor and build-vs-buy decisions, security posture and a working investor-grade tech narrative. Senior tech leadership on demand, billed monthly.
How do you handle AWS, DevOps and cloud cost optimisation?
We design and operate well-architected workloads on AWS, GCP and Azure with Infrastructure as Code (Terraform), CI/CD pipelines, observability and platform engineering. Cost optimisation is a first-class deliverable: right-sizing, autoscaling, reserved capacity and serverless where it fits, so the bill goes down as traffic goes up.
How is your work different from a freelance developer or large IT services firm?
Freelancers ship code but rarely architecture, DevOps, security and lifecycle support. Large IT firms ship process and headcount but slow down product cycles. We sit between the two: senior, product-minded engineering pods that own architecture, build, deployment, observability and post-launch iteration as one team, sized to your stage rather than to a managed-services contract.