Abp Framework Development Team for a medical technology company in Taiwan
How Facile Technolab helped Medical Device CTO Reduced Diagnostic Errors by 25% with Custom SaaS on Blazor & Azure.
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Build, integrate, and scale enterprise-ready generative AI applications with skilled developers experienced in Azure OpenAI, Microsoft Azure, RAG, AI agents, LLM integrations, and custom AI applications. Whether you need to add generative AI capabilities to an existing product, build an AI-powered application from scratch, or extend your engineering team with specialized AI talent, Facile Technolab provides dedicated generative AI developers aligned with your technology stack, architecture, and business goals.
Generative AI can transform how users interact with software, access information, automate workflows, and make decisions. But moving from an AI proof of concept to a reliable production application requires more than connecting an application to an LLM API.
Our generative AI developers combine software engineering expertise with Azure OpenAI development to build AI capabilities that fit into your existing applications and enterprise architecture.
We can help you develop:
Build generative AI applications using Azure OpenAI and the surrounding Microsoft ecosystem, including model APIs, embeddings, AI search, cloud services, identity, and application infrastructure.
Our AI developers bring software development experience beyond prompts and models. They can work across application architecture, APIs, databases, integrations, cloud infrastructure, and existing enterprise systems.
Connect generative AI applications with your organization's data to create contextual experiences such as internal knowledge assistants, document Q&A, semantic search, and domain-specific copilots.
Build AI-powered workflows where models can interact with application functionality, business logic, APIs, and data sources to support more complex business processes.
For organizations already using Microsoft technologies, our developers can work within .NET, ASP.NET Core, Azure, Microsoft Entra ID, Azure AI Search, and related technologies.
Start with a single generative AI developer, add specialized engineers, or engage a dedicated AI development team based on your project requirements.
Facile Technolab combines generative AI capabilities with established software development expertise. Our Microsoft-focused engineering approach is particularly suited to organizations already working with .NET, ASP.NET Core, Azure, and other Microsoft technologies. We can support organizations that need to:
We measure success by long-term partnerships, not one-off projects. With 97% client retention, 85% of new work coming from referrals, 100% project delivery, and 31 verified reviews, our clients stay with us because we consistently deliver practical results on Microsoft .NET and Azure.
We start by understanding the business problem, users, existing software, data sources, and expected outcomes.
We determine where generative AI fits into your application and evaluate approaches such as direct LLM integration, RAG, AI agents, or hybrid architectures.
Our team defines the application architecture, data flow, model integration, security approach, APIs, retrieval mechanisms, and supporting Azure services.
Developers implement the AI functionality and integrate it with your existing applications, databases, APIs, workflows, and user interfaces.
We evaluate responses and application behavior while improving prompts, retrieval strategies, workflows, performance, and reliability.
Once validated, the solution can be deployed into your Azure environment with appropriate monitoring, security, and operational controls.
Organizations already invested in Microsoft technologies can benefit from building generative AI applications within their existing Azure ecosystem.
Azure OpenAI provides access to OpenAI models through Microsoft's cloud platform and can be integrated with other Azure services and enterprise application infrastructure. Microsoft also documents approaches for authentication using Microsoft Entra ID, managed identities, and role-based access control.
For businesses, this can make Azure OpenAI a practical foundation for AI applications that need to work alongside existing cloud infrastructure, enterprise data, identity systems, and applications.
Azure OpenAI also gives enterprises flexibility to design AI solutions around their specific business requirements rather than adopting a one-size-fits-all application. Teams can combine models, prompts, retrieval, business logic, and Azure services to create domain-specific AI experiences for employees, customers, and internal operations.
For organizations already invested in Microsoft technologies, this approach can make generative AI adoption more practical. Instead of replacing existing software, businesses can incrementally introduce AI capabilities into their current applications and workflows, creating a path from individual AI features to broader enterprise generative AI solutions.
Explore flexible ways to work with Facile Technolab. Whether you want to form a long-term technology partnership, hire dedicated developers, leverage our products, or download practical guides we provide the support and resources to help you move faster with confidence.
Guides and checklists we have put together for teams doing their homework from choosing an engagement model to getting your architecture before launch. The resources you actually need to make a decision.
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Stop patching talent gaps project by project. As your offshore development partner, we bring a dedicated Microsoft-focused team into your workflow access to skilled engineers, faster time-to-market, and a working relationship built for the long term, not a one-off contract.
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Discover the software products and accelerators we’ve built to help teams move faster from starter kits to specialized solutions for modern application development.
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Whether you need one specialist or a full dedicated team, our developers plug into your existing workflow, tools, and standups from week one.
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We build software around your industry's workflows, challenges, and compliance needs, creating practical solutions that support your operations and business goals.
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Facile Technolab helps businesses build, modernize, and scale software with experienced developers, practical technology solutions, and flexible engagement models.
About Facile Technolab → Talk to Us →Real feedback from teams who have worked with us on .NET, Azure, and practical AI projects. These testimonials reflect the quality of our engineering, communication, and long-term partnership approach.
" Facile Technolab Pvt Ltd's work is now in use by more than 20 individuals, reflecting its great quality and usability. The team provides daily updates and communicates clearly and proactively. The client commends the team's flexibility, professionalism, and keen understanding of the requirements. "
" Facile Technolab Pvt Ltd delivered a fully-functional solution that met the client's standards and expectations. Leading a structured approach, the team managed their tasks well and delivered on time. Their transparency, top-tier customer support, and enthusiasm were hallmarks of their work. "
" The app is still in development, but the client is at a great point right now thanks to Facile Technolab Pvt Ltd. The team has improved the models and made them faster, and they’ve stood out for their responsiveness and cooperative approach. They communicate well via WhatsApp and Microsoft Teams. "
" Thanks to Facile Technolab Pvt Ltd's engagement, the client is able to demonstrate a functional prototype to their end client that has received positive feedback. The team has executed an effective project management style. They are prompt and communicative in the partnership. "
" So far, Facile Technolab Pvt Ltd has been meeting the deliverables. The team uses Slack to communicate and Trello for documentation. The client has been impressed by the team's professionalism and friendly approach. "
" While the project is still ongoing, the client is working well with Facile Technolab Pvt Ltd. The vendor is highly responsive with a collaborative mindset. "
" The vendor's efforts are critically important to the business. A reliable, proactive team, Facile Technolab Pvt Ltd collaborates seamlessly with internal stakeholders. Their deep understanding of Western culture has facilitated their coordinations with other employees based around the world. "
" The work provided by Facile Technolab Pvt Ltd satisfied all project stakeholder requirements, helping to present a working MVP to their third-party client. Though the business did not take off in the end, their team provided all of their work within relevant budget and timeline constraints. "
" The project met the expectations of the third-party client, leading to further business for the client. Facile Technolab Pvt Ltd establishes communication channels to ensure an effective workflow. The team is talented, trustworthy, and personable. "
" Facile Technolab Pvt Ltd successfully filled the gaps in the client’s internal team with talented resources. They not only provided qualified people but also managed tasks well — all projects were delivered on time. The partners communicated mainly via virtual meetings, email, and messaging apps. "
" Facile Technolab Pvt Ltd has completed some of the deliverables, which please the client. They are always understanding and available to coordinate the project. Moreover, they follow agile methodology, which impresses the client the most. "
" The client had been able to put their new development projects to work because of Facile Technolab Pvt Ltd. Throughout the partnership, they used agile technology with daily calls on Skype. Their most admirable service had been their good communication process. "
How Facile Technolab helped Medical Device CTO Reduced Diagnostic Errors by 25% with Custom SaaS on Blazor & Azure.
Read Full Case Study
How Facile Technolab built a digital legal search SaaS platform for an Australian startup - ASP.NET Core, Azure, and full-stack delivery from MVP to launch.
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How Facile Technolab built a cruise management SaaS for a Croatian travel client connecting ship owners, agents, and passengers on a single platform.
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How to migrate ASP.NET Web Forms to Blazor page lifecycle mapping, control conversion, state management, authentication, and phased migration strategy.
How to build a document Q&A system on ASP.NET Core and Azure OpenAI. RAG architecture, Azure AI Search, chunking strategy, citations, and real cost estimates.
How to migrate from .NET Framework to .NET 10 LTS — breaking changes, EF Core 10, middleware pipeline, authentication, and phased delivery. Updated August 2026.
A generative AI developer builds applications that use large language models and related AI technologies to perform tasks such as content generation, summarization, conversational interaction, semantic search, knowledge retrieval, and workflow automation.
An Azure OpenAI developer specializes in integrating OpenAI models through Microsoft's Azure ecosystem into business applications. Their work can include API integration, RAG, embeddings, AI search, conversational applications, AI agents, security, and application integration.
Yes. You can hire dedicated developers or a complete development team based on your project's scope. The team can work alongside your internal engineering organization or take responsibility for defined development requirements.
Yes. Our developers can integrate generative AI capabilities into existing web applications, SaaS products, enterprise systems, APIs, and business workflows.
Yes. We can build RAG-based applications that connect generative AI models with enterprise data sources and retrieval systems such as Azure AI Search.
Yes. We can develop AI-powered agents that interact with approved tools, APIs, application services, and business data to support more complex workflows.
Our developers can work with Azure OpenAI, Microsoft Azure, Azure AI Search, .NET, ASP.NET Core, C#, Python, React, Angular, Blazor, TypeScript, REST APIs, databases, and other technologies required by your application.
Yes. If your project requires a focused skill set, you can start with an individual developer and expand the team as your requirements grow.
The cost depends on the developer's experience, required skills, engagement model, project complexity, and duration. Contact us with your requirements for a tailored estimate.
The onboarding timeline depends on your requirements, developer profile, and engagement model. Once we understand your needs, we can recommend the appropriate team structure and onboarding approach.
Yes. Facile Technolab works with organizations across international markets and supports remote development engagements for businesses that need additional engineering capacity.
Have an AI use case but don't have the right engineering capacity to build it? Whether you need one Azure OpenAI developer or a complete generative AI development team, Facile Technolab can help you plan, build, integrate, and scale your solution.
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