We help transform businesses
Speed up your development with smart, context-aware code suggestions for ABAP, JavaScript, and SQL—directly in your IDE.
Create SAP Fiori-ready interfaces automatically from your data and logic.
Detect issues early with AI-powered bug detection and unit test generation.
Get instant answers from SAP and Neptune documentation with built-in Retrieval-Augmented Generation.
Role-based access, audit trails, and platform-native security ensure compliance.
Develop for SAP ECC, S/4HANA, or cloud systems with clean core support.
Manual processes, disconnected systems, and decision delays cost enterprises time and money. Naia empowers operations, HR, finance, and supply chain leaders with intelligent automation embedded into SAP.
Less busywork. More value.
No more spreadsheets, workarounds, or system silos. With Naia, enterprises gain a powerful AI engine to modernize everyday operations—without overhauling their entire tech stack.
Deploy Naia where it makes sense for you—on-prem, in the cloud, or as a hybrid setup. Neptune’s zero-footprint architecture ensures that your AI-powered processes run securely and scale effortlessly.
Governed by design: full visibility, role-based access, and audit trails Easy to scale: roll out to new teams, regions, or systems with minimal effort Flexible foundation: works with SAP and beyond Naia grows with your business, adapts to your stack, and evolves with your needs.
Transform manual processes into smart workflows without writing code.
Let autonomous agents handle repetitive tasks like routing, approvals, and notifications.
Enable employees to “chat” with enterprise data and surface real-time insights.
Empower field teams with offline-ready AI tools for diagnostics and guidance.
Orchestrate workflows across SAP, third-party platforms, and cloud apps.
Reduce invoice handling by 40%, cut downtime by 25%, and boost productivity up to 50%.
NaiaTM is a combination of HI and AI (Human Intelligence & Artificial Intelligence), our genius level algorithms and advanced AI powered modeling combined as a developer productivity tool. NaiaTM, set to transform how you interact with our platform, bringing instant benefits and productivity enhancements to our valued customers and partners.
Naia combines Neptune’s data sources like documentation, knowledge base, the Neptune Marketplace, code snippets and more with a large language model. We predefined certain automations like a development co-pilot, the import and export of SAP Fiori Apps into the App Builder, generating graphs to visualize data, creation of mock-up data and more.
Yes, Naia is integrated into Neptune DXP SAP Edition, Open Edition and App Builder.
Naia uses Neptune’s data sources like code snippets, Neptune Marketplace, Neptune DXP Documentation, Neptune Community content and Neptune’s support knowledge base. Furthermore it uses the data included into the public large language model.
Currently we are using the Microsoft Azure OpenAI API. But this can be subject to change in future.
AI tools like TensorFlow, PyTorch, and IBM Watson can significantly improve web app development by enabling predictive analytics, natural language processing, and real-time user behavior analysis.
AI is unlikely to completely replace application development but will enhance it by automating repetitive tasks and providing tools for faster and smarter development processes.
A step-by-step guide for AI application development includes identifying the problem, collecting and preparing data, selecting an AI model, training and testing the model, integrating it into the app, and continuously monitoring and improving the AI system.
AI influences app development by automating processes, enabling personalization, improving testing efficiency, and enhancing user experiences with advanced features like voice recognition and chatbots.
AI assists in app development without coding through no-code/low-code platforms that integrate machine learning models and AI-powered tools for design and functionality.
AI will complement app developers by automating mundane tasks, allowing them to focus on more creative and strategic aspects of development, rather than completely taking over their roles.
Platforms like Microsoft Azure AI, Google AI Platform, and AWS AI services can be used to develop AI-powered applications.
To choose the best AI app development company, evaluate their expertise in AI technologies, past projects, client reviews, and ability to understand and meet your business needs.
The future of AI in app development includes greater automation, enhanced user experiences through AI-driven insights, and reduced development time with advanced AI tools.
AI will impact mobile app development by enabling features like predictive analytics, voice and image recognition, and hyper-personalized user experiences.
AI tools like Dialogflow, TensorFlow Lite, and Wit.ai are commonly used to build AI-powered mobile applications.
AI is needed in mobile app development to provide intelligent features like recommendations, automated responses, and enhanced security through behavioral analytics.
AI influences modern mobile app development by introducing predictive models, voice assistants, and real-time user engagement analytics.
AI helps develop apps and software by automating testing, generating code snippets, and providing frameworks for integrating machine learning models seamlessly.
In 2025, AI is expected to shape mobile app development by advancing personalization, automating design and testing, and enabling real-time user insights.
Top AI tools for app development in 2024 include TensorFlow, OpenAI's API, IBM Watson, Google Cloud AI, and Microsoft Azure AI.
