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Enterprise AI Engineering

We help organizations move beyond experimental chatbots into Intelligent Agentic Workflows that automate high-stakes operations. Our engineering team focuses on integrating LLMs and RAG (Retrieval-Augmented Generation) into your existing data silos, ensuring that AI is a core driver of Business ROI rather than a technical curiosity. We specialize in transforming static enterprise data into actionable intelligence, building custom AI models that are secure, compliant, and ready for global deployment.
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Data-Driven UI/UX for Complex Systems

We simplify the friction between massive data sets and human decision-making. Our UI/UX design for complex enterprise software focuses on functional logic and high-density data clarity. By utilizing behavioral data tools, we build interfaces that allow your team to navigate intricate workflows without cognitive overload. Whether it’s a fintech dashboard or a global logistics tracker, we ensure your software remains intuitive, reducing training costs and increasing operational efficiency at scale.
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Custom Software Engineering

We specialize in enterprise software engineering that is architected for high-concurrency and 99.9% availability. Our approach uses proven, resilient frameworks including microservices and event-driven architectures to ensure your platform can handle millions of global transactions without a core rebuild. From custom API integrations to secure global payment gateways, we build the "invisible" backend strength that allows your business to move fast without breaking things.
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Application Modernization & Cloud Migration

Modernization isn’t just moving a server to the cloud; it’s about decoupling legacy monoliths into agile, cloud-native microservices. We help you engineer the transition from "old stack" to modern infrastructure, effectively eliminating the technical debt that slows down innovation. By utilizing containerization (Docker/Kubernetes) and automated CI/CD pipelines, we ensure your complex systems scale instantly to meet global demand, all while reducing unmanageable cloud costs.
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Let’s Discuss Your Project

Prefer a face-to-face conversation? Choose a time that works for you, and let’s explore how we can collaborate to meet your ambitious goals.

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Success Stories

Policy-Based Access with Feature Flags: A GoTours Case Study

Policy-Based Module Access Using Feature Flags

Overview GoTours is a multinational travel booking platform that allows users to discover, book, and confirm tours, hotels, and travel experiences from multiple suppliers. As the platform continued growing, the product and engineering teams needed...

Lightweight Code Assessment Platform Case Study | Automated Technical Hiring Solution

Lightweight Code Assessment Platform

Helping Companies Evaluate Developers Faster and Fairly Overview Hiring skilled developers is not easy when a company receives hundreds of applications for a limited number of technical roles. Manual resume screening can identify experience,...

Blockchain Food Traceability Case Study | Hyperledger Fabric

Web3 & Decentralized Applications

Overview FreshTrace Foods is a mid-sized food distribution company that works with farmers, packaging units, cold-chain logistics partners, and retail stores across multiple regions. The company supplies fresh fruits, vegetables, and packaged organic products to...

How to Build an AI Control Layer for High-Stakes Operations

From AI Experiments to Controlled Execution

Building a Governed AI Control Layer for High-Stakes Enterprise Operations Overview A large enterprise operating in a high-stakes environment faced a familiar AI problem: strong model capability, but weak production control. Teams were piloting copilots,...

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Frequently Asked Questions

What services does Nirman Techlab provide?

We offer five core service areas: Enterprise AI Engineering (RAG systems, agentic AI, model deployment), Data-Driven UI/UX for Complex Systems (dashboard design, enterprise dashboards), Custom Software Engineering (full-stack development, microservices), Application Modernization & Cloud Migration, and Agentic AI Solutions. Each service is built to address enterprise-scale challenges with production-ready implementations.

We offer full end-to-end development from initial discovery and architecture design through implementation, deployment, and ongoing support. We don’t just advise; we build. However, if you need pure consulting or architecture review, we can structure engagements that way. Most of our clients prefer the full delivery model because it ensures accountability and quality from start to finish.

Yes, absolutely. AI integration into legacy systems is one of our specialties. We assess your current infrastructure, design RAG systems that connect to your existing data sources, implement agentic AI workflows, and ensure seamless integration without major rewrites. We handle data pipeline setup, security protocols, and compliance requirements making enterprise AI accessible regardless of your existing tech stack.

Our tech stack spans Python (for AI/ML), Node.js/TypeScript (backend services),Vue(frontend) React (frontend), cloud platforms (AWS, GCP, Azure), Kubernetes (orchestration), PostgreSQL and vector databases (data storage), and modern frameworks like FastAPI, Nuxt.js Next.js, and Django. We’re language and framework agnostic, we choose technology based on your project requirements, not personal preference.

Pricing depends on engagement type and scope. We offer Time & Materials (T&M), fixed-price projects, and dedicated team models. For T&M, you pay for actual hours worked; for fixed-price, we estimate scope and deliver for an agreed price, for dedicated teams, you get a committed group of engineers. We provide transparent estimates during discovery and can discuss which model fits your budget and project needs.

We offer three primary engagement models: 

  • Dedicated Team full-time developers committed to your project,
  • Fixed-Price Projects defined scope with guaranteed delivery date and price,
  • Time & Materials flexible model where you pay for actual hours.

We also offer hybrid models and can adjust based on your requirements. Each model is designed for different project phases and uncertainty levels.

Yes. If you’re working with a dedicated team model, we can adjust team size as your project evolves—ramping up during high-intensity phases and scaling back during stabilization. This flexibility is built into our engagement approach. We maintain a bench of available engineers and can onboard additional team members with minimal disruption to maintain project continuity.

Absolutely. We offer comprehensive post-launch support including bug fixes, performance optimization, security updates, and new feature development. We can structure this as a retainer (fixed monthly cost), as-needed support, or a full dedicated maintenance team. Long-term support ensures your systems stay secure, performant, and aligned with evolving business requirements.