Align AI, analytics for an AI-native future
What’s the AI-native future?
By now, most people have heard of ChatGPT. Over a 100M users in less than 2 months is a record feat by any measure.
People from various backgrounds (tech vs. non-tech, etc.) have all been wowed by what’s now possible with Large Language Models (LLMs) as a trusty assistant to help with tasks ranging from writing emails, doing basic research, generating summaries and more. The possibilities are endless.
ChatGPT has ushered in an “AI-native” future. At Align AI, we define “AI-native” as having 3 distinct characteristics:
1) Powered by Conversational Interfaces
Conversational Interfaces today are chat interfaces — think ChatGPT, Perplexity AI, Inflection AI’s PI, etc. In the future, these “conversations” may expand into conversing with different mediums such as images like DALL·E 3, videos, even brain waves (seems sci-fi but cool things are brewing 🧪)!
2) Being hyper-personalized to users
New and complex conversational interfaces have enabled hyper-personalization in products. Think about how the experience of Person A using ChatGPT differs greatly with how Person B uses ChatGPT. This is partially why ChatGPT was able to reach such crazy numbers in a short period of time!
3) Aligning products & user intents
A big part of hyper-personalization is ensuring that the LLM-powered product is aligned to what users want to achieve. Alignment slowly becomes more and more possible as users clearly relay their intentions through chat inputs.
As the AI-Native future emerges, one thing becomes clear. In order for conversational interfaces to evolve to become more hyper-personalized and user-aligned, the conversational product needs a new analytics stack. This new stack must deal with subjective conversational data (starting with text and evolving to other modalities), in real-time, and provide tools to help any builder easily understand what to do with the data in front them.
Align AI is that stack.
What is Align AI?
Align AI is a new type of product analytics tool that empowers builders to analyze the conversational data they are collecting. Right now, most of the data is being stored in data sources like AWS S3, GCP Bigquery, PostgreSQL, MySQL and more.
Previously, there was no unified way to easily view, search, analyze, and take action with the main data type of AI-native products — conversations and text. Align AI changes all that with a suite of key features that lowers the barrier of entry to analysis while dramatically dropping the time taken from data ingestion to actionable insights.
Here are some of the key features that powers Align AI!
Align AI’s Universal Search
Align AI makes searching your conversational data extremely straightforward. We leverage natural language in our universal search so that you can search conversations by simply typing “Find me sessions where…” We worked really hard to empower any builder regardless of their technical or querying knowledge to dive deeper into how their users are interacting with their product (no more complex SQL, query planning)!
Meet Columbus, the Analytics Copilot
Whether a builder has found specific conversations they’d like to analyze or don’t know where to begin, Columbus comes in handy. Columbus is our data analytics copilot that helps provide suggestions on what data to look at, generates both quantitative & qualitative insights, suggests helpful action items to improve your product and more. Columbus is there whenever and wherever you need to help make sense of conversational data.
Start analyzing conversational data, today!
Our goal is to work with builders who want to build better AI-native products that are hyper-personalized and aligned with users. If you are one of them, please feel free to reach out at support@tryalign.ai to learn more about Align AI or get started with your analysis!
Looking for more resources?
Read one of the guides below:
📄 Align AI 101: Getting started with AI-native data analysis →
📄 Case Study: How is an ed-tech product leveraging Align AI? →
📄 Align AI vs. the traditional product analytics stack →
link: https://tryalign.ai/
