Best AI Development Platforms for Intercom

Levity is a no-code platform for creating custom AI models that take daily, repetitive tasks off your shoulders. Levity allows you to train AI models on documents, free text or images without writing any code. Build intelligent automations into existing workflows and connect them to the tools you already use. The platform is designed in a non-technical way, so everybody can start building within minutes and set up powerful automations without waiting for developer resources. If you struggle with daily tedious tasks that rule-based automation just can't handle, Levity is the quickest way to finally let machines handle them. Check out Levity's extensive library of templates for common use-cases such as sentiment analysis, customer support or document classification to get started within minutes. Add your custom data to further tailor the AI to your specific needs and only stay in the loop for difficult cases, so the AI can learn along the way.

Klu.ai, a Generative AI Platform, simplifies the design, deployment, and optimization of AI applications. Klu integrates your Large Language Models and incorporates data from diverse sources to give your applications unique context. Klu accelerates the building of applications using language models such as Anthropic Claude (Azure OpenAI), GPT-4 (Google's GPT-4), and over 15 others. It allows rapid prompt/model experiments, data collection and user feedback and model fine tuning while cost-effectively optimising performance. Ship prompt generation, chat experiences and workflows in minutes. Klu offers SDKs for all capabilities and an API-first strategy to enable developer productivity. Klu automatically provides abstractions to common LLM/GenAI usage cases, such as: LLM connectors and vector storage, prompt templates, observability and evaluation/testing tools.

SweKit lets you build PR agents that review code, suggest improvement, enforce coding standard, identify potential issues and automate merge approvals. This streamlines the review process while improving code quality. Automate the creation of new features, debugging complex issues, creating and running tests, optimizing code for performance, maintainingability, and ensuring best practices across codebases, accelerating development. Use advanced code indexing and intelligent file navigation to explore and interact with huge codebases. Ask questions, track dependencies, uncover logic flow, and gain instant insight, enabling seamless communications with complex code structures. Keep your documentation up-to-date with your code. Update Mintlify documentation automatically whenever code changes are made. This ensures that your documentation is accurate, current, and ready for you and your team.

Carbon is a cost-effective alternative to expensive pipelines. You only pay monthly for usage. Utilise less and spend less with our usage-based pricing; use more and save more. Use our ready-made components for file uploading, web scraping, and 3rd party verification. A rich library of APIs designed for developers that import AI-focused data. Create and retrieve chunks, embeddings and data from all sources. Unstructured data can be searched using enterprise-grade keyword and semantic search. Carbon manages OAuth flows from 10+ sources. It transforms source data to vector store-optimized files and handles data synchronization automatically.

Simulations based on historical data can be used to improve models and update them incrementally. Data governance, access control, and versioning allow for easy collaboration. Ikigai has a wide range of integrations that make it easy to integrate with tools already in your workflow. Ikigai has 200+ connectors that allow you to connect to almost any data source. Want to push your ML to a dashboard or website? Integrate directly using Ikigai’s web integrations. Triggers can be used to run data synchronizations, and retrieve updates every time you run an automation flow. You can integrate Ikigai seamlessly by using your own APIs or creating APIs for your data stack.