Case Studies

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Case study

Airbyte: Taking API Integrations from Hours to Minutes

Airbyte is the leading open-source data integration engine that helps you consolidate your data in your warehouses, lakes, and databases. Airbyte’s users spend a lot of time building API integrations – a complicated and time-intensive process, so Airbyte hired Fractional AI to develop an AI-powered connector builder, producing API integrations in minutes, not hours.

Problem

Building API integrations is tedious and complicated.

Engineers have to navigate lengthy API docs, extract relevant details, and manually configure complicated connectors in Airbyte’s tools – all of which takes time away from other engineering projects.

Solution

Users input the API docs URL, and the AI Connector Builder, built by Fractional AI, crawls API docs and configures an Airbyte connector.

Models used: GPT 4o, GTP 3.5
Tools used: Langchain, Langsmith, Chroma DB

Impact

Time to build an API integration is going from hours to minutes. Stay tuned for the Airbyte launch.

Case study

Change.org: Automating Content Moderation

Change.org, the world’s largest platform for social change, enables anyone to start campaigns and mobilize support. With thousands of campaigns launched daily, not all adhere to Change.org's trust and safety terms. Fractional AI is partnering with Change.org to automate content moderation, so the team can spend less time reviewing content and more time supporting changemakers.

Problem

The Change.org back-office team built an impressive system in Google Sheets that used LLMs to proactively flag half of violations, but finding the other half was still a big drain on time and the site experience.

Solution

Fractional AI is building an AI-powered content moderation system to automatically review content that violates Change.org’s guidelines.

Models used: GPT 4o, GTP 3.5
Tools used: Langchain, Langsmith, Weights and Biases

Impact

The new system is flagging 85%+ of violations without increasing the proportion of false positives.

Case study

Superintelligent: Personalizing Learning with RAG

Superintelligent is the learning platform for AI, offering tutorials on AI tools that are hands-on, practical, and easy to follow. When debuting their platform, Superintelligent imagined a fully personalized, AI-powered user experience, but where do you start with a project that big? Fractional AI partnered with Superintelligent to build an AI chatbot as the first step towards that vision.

Problem

Learners needed a way to quickly navigate the platform’s hundreds of tutorials and tool recommendations to find relevant AI tools for their specific needs.

Solution

Fractional AI developed an AI chatbot using RAG to recommend specific tools to learners.

Models used: GPT 4, GPT 3.5 Turbo
Tools used: Langchain, Langsmith, Pinecone, FastAPI

Impact

The chatbot has given hundreds of recommendations - eliminating the need for extensive searches, so users can spend less time searching and more time learning.