LANSA
Modernize legacy systems and build enterprise applications with a single, high-level development language.
Build mission-critical intelligent applications using natural language and enterprise-grade AI Builder models.
Microsoft Power Apps AI represents the 2026 frontier of low-code development, seamlessly integrating Generative AI via Copilot and sophisticated ML via AI Builder. The architecture is built on the Microsoft Dataverse, allowing for a decoupled data layer that supports complex relational models and high-concurrency enterprise workloads. In 2026, the platform focuses on 'Agentic UI,' where applications are no longer static forms but dynamic, intent-driven interfaces generated in real-time. By leveraging Azure OpenAI Service models, developers can implement features like natural language data querying (NL2SQL), automated document processing, and real-time sentiment analysis without writing a single line of C# or JavaScript. The platform's market position is dominant within the Fortune 500, acting as the primary bridge between raw enterprise data and actionable, intelligent front-end applications. Its tight integration with the Power Platform ecosystem ensures that AI-driven insights from Power BI can trigger automated actions in Power Automate, all through a Power Apps interface.
Natural language to Power Fx generation and UI construction using LLMs.
Modernize legacy systems and build enterprise applications with a single, high-level development language.
Accelerate digital transformation with a generative AI-powered, open-source low-code platform.
The world's first DevToCode platform for high-performance React and Flutter apps.
The open, extensible design framework for enterprise-grade low-code applications.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Deep learning models for extracting structured data from unstructured documents.
Uses RAG (Retrieval-Augmented Generation) to answer user queries based on internal documentation.
Computer vision models trained on custom datasets for visual inspection via mobile camera.
Binary and multi-class classification based on historical Dataverse records.
Allows developers to build specific GPT-4 prompts into application workflows.
Advanced governance suite including sharing limits and solution checker enforcement.
Manual data entry from thousands of vendor PDFs leading to human error and delays.
Registry Updated:2/7/2026
Update ERP systems via connector.
Technicians struggle to identify part numbers in the field.
High volume of feedback makes it impossible to identify urgent issues manually.