Best Artificial Intelligence Software for GraphQL - Page 2
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Compare the Top Artificial Intelligence Software that integrates with GraphQL as of July 2026 - Page 2
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This a list of Artificial Intelligence software that integrates with GraphQL. Use the filters on the left to add additional filters for products that have integrations with GraphQL. View the products that work with GraphQL in the table below.
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1
Jovu
Amplication
Effortlessly build new services, and extend your existing applications with Amplication AI. Go from idea to production in four minutes. AI-powered assistant that generates production-ready code, ensuring consistency, predictability, and adherence to the highest standards. The transition from concept to deployment in minutes with production-ready code that’s built to scale. Amplication’s AI delivers more than prototypes, get fully operational, robust backend services ready to go live. Streamline development workflows, reduce time, and optimize your resources. Do more with what you have with the power of AI. Input your requirements and watch Jovu translate them into ready-to-use code components. Production-ready data models, APIs, authentication, authorization, event-driven architecture, and everything else that is needed to get your service up and running. Add architecture components, and integrations and extend with the Amplication plugins. -
2
Grafbase
Grafbase
Grafbase is a high-performance GraphQL platform designed to help developers build, unify, and manage APIs by combining multiple data sources into a single federated API layer. It acts as a GraphQL federation gateway that aggregates services such as databases, microservices, REST APIs, and third-party systems into one unified endpoint that applications can query efficiently. Developers can compose a federated graph from multiple independent subgraphs, allowing different teams or services to evolve independently while still presenting a single coherent API to clients. Grafbase includes a schema registry and governance tools that enable teams to manage schema changes, run checks to detect breaking changes, and collaborate on schema proposals before deployment. It also provides analytics, observability, and performance monitoring features that track API usage and help teams optimize their data infrastructure. -
3
Metabind
Metabind
Metabind is the native MCP App Platform that lets teams ship an MCP app in minutes by writing BindJS components once and rendering them as native SwiftUI, Jetpack Compose, and React on Claude, ChatGPT, and every MCP host. It gives AI agents a native app surface instead of plain text responses, combining interactive tools, data tools, component packages, schema validation, sandboxed execution, package resolution, and production-ready rendering in one platform. Developers define components once, while content and product teams can manage both content and UI from a single platform, publish changes instantly, and avoid app store deploys for layout or screen updates. Metabind’s native mobile CMS approach extends beyond traditional headless CMS by controlling not only text and images, but also layout definitions, screen composition, and server-driven UI that renders with genuine platform views. -
4
Secuvy AI
Secuvy
Secuvy is a next-generation cloud platform to automate data security, privacy compliance and governance via AI-driven workflows. Best in class data intelligence especially for unstructured data. Secuvy is a next-generation cloud platform to automate data security, privacy compliance and governance via ai-driven workflows. Best in class data intelligence especially for unstructured data. Automated data discovery, customizable subject access requests, user validations, data maps & workflows for privacy regulations such as ccpa, gdpr, lgpd, pipeda and other global privacy laws. Data intelligence to find sensitive and privacy information across multiple data stores at rest and in motion. In a world where data is growing exponentially, our mission is to help organizations to protect their brand, automate processes, and improve trust with customers. With ever-expanding data sprawls we wish to reduce human efforts, costs & errors for handling Sensitive Data. -
5
ScienceDesk
ScienceDesk
ScienceDesk data automation demystifies the use of artificial intelligence in materials sciences. A practical tool for your team to add and apply the newest AI algorithms on an everyday basis. Customizable properties, universal identifiers, QR-codes and a powerful textual-numeric search engine that links sample and experimental data. ScienceDesk is an innovative platform for scientists and engineers to interact with, collaborate on and obtain insights into their experimental data. Unfortunately, the potential of this asset is not fully exploited due to the variety of data formats and the strong dependence on experts to manually extract specific information. The ScienceDesk research data management system solves this problem by combining documentation and data analysis in a cleverly-engineered data structure. Researchers and scientists are empowered by our algorithms to gain total control of their data. They can not only share datasets, but even the analysis know-how. -
6
DevBox
DevBox
71 handcrafted tools (generators, converters, encoders, etc...), 20 cheat-sheets and 65 code snippets for developers and designers, available in multiple platforms. DevBox works entirely offline, so you never have to worry bout sensitive data since it never leaves the app. All tools respond to your actions instantly, so you can always see the end result without delay. Plenty of viewers are there for you to quickly check out data in varius formats (CSV, JSON, JWT, etc). Formatters and converters are working as you type, download or copy is just one click away. DevBox has 20 cheat-sheets for codes, services and many CLI tools.Starting Price: $25 one-time payment -
7
Literal AI
Literal AI
Literal AI is a collaborative platform designed to assist engineering and product teams in developing production-grade Large Language Model (LLM) applications. It offers a suite of tools for observability, evaluation, and analytics, enabling efficient tracking, optimization, and integration of prompt versions. Key features include multimodal logging, encompassing vision, audio, and video, prompt management with versioning and AB testing capabilities, and a prompt playground for testing multiple LLM providers and configurations. Literal AI integrates seamlessly with various LLM providers and AI frameworks, such as OpenAI, LangChain, and LlamaIndex, and provides SDKs in Python and TypeScript for easy instrumentation of code. The platform also supports the creation of experiments against datasets, facilitating continuous improvement and preventing regressions in LLM applications. -
8
XBOW
XBOW
XBOW is an AI-powered offensive security platform that autonomously discovers, verifies, and exploits vulnerabilities in web applications without human intervention. By executing high-level commands against benchmark descriptions and reviewing outputs it solves a wide array of challenges, from CBC padding oracle and IDOR attacks to remote code execution, blind SQL injection, SSTI bypasses, and cryptographic exploits, achieving success rates up to 75 percent on standard web security benchmarks. Given only general instructions, XBOW orchestrates reconnaissance, exploit development, debugging, and server-side analysis, drawing on public exploits and source code to craft custom proofs-of-concept, validate attack vectors, and generate detailed exploit traces with full audit trails. Its ability to adapt to novel and modified benchmarks demonstrates robust scalability and continuous learning, dramatically accelerating penetration-testing workflows. -
9
Solid
Solid
Solid is an AI-powered full-stack app builder that enables both technical and non-technical users to create, customize, and launch production-ready web applications, just as easily as making a TikTok. Unlike lightweight tools like Lovable or Base44 that generate superficial front-end facades, Solid delivers a complete, extendable codebase: a Node.js backend with Prisma ORM, a React + TypeScript frontend, and a seamlessly connected database, just like what professional developers use. You can import toy projects built with Lovable/Base44 and instantly transform them into robust, real apps that are scalable, transparent, and transferable. Solid supports deep customization; you own every layer (frontend, backend, data), allowing you to add complex business logic, REST or GraphQL APIs, and integrations effortlessly. It generates high-quality, inspectable code you can deploy anywhere, from Solid’s platform to your cloud, without vendor lock-in. -
10
Implement AI
Implement AI
Implement AI offers a tool that helps businesses deploy a scalable digital workforce of coordinated AI agents across sales, support, operations, and success functions, turning isolated AI tools into an AI Operating System (AIOS) that works with real business data and systems like CRM, email, voice, and messaging to execute tasks autonomously and collaboratively. Its AI agents are multi-skilled and role-specific, designed to find missed revenue opportunities, launch outbound campaigns, follow up inbound leads, deliver 24/7 customer support, triage tickets, analyze conversations for revenue signals, flag compliance risks, build dynamic knowledge bases, and transform call and email data into actionable insights. Unlike standalone chatbots, the AIOS provides shared memory and an agentic task engine that lets agents access live customer context, coordinate workflows, trigger tasks using business rules, and scale across departments.
