🤖Evidence Aims to Redefine BI with Human-AI Collaboration
Evidence's BI tools aim to merge human and AI analytics
TL;DR
Evidence is building a new standard for business intelligence, designed for a world where humans and AI agents work together on analytics. With a small, high-bar team and backing from top investors, they're rethinking how software is built and used.
Evidence is developing a new standard for business intelligence, designed for a world where humans and AI agents collaborate on analytics. The company's open-source project, with 7,000 GitHub stars, is used by thousands of teams, from startups to Fortune 100 companies. Evidence believes exceptional engineers, amplified by increasingly capable AI agents, can accomplish far more than was possible even a few years ago. This approach is changing how they build software, moving toward a development process where agents take on most of the software lifecycle, freeing engineers to focus on judgement, creativity, and product thinking. The company is data-driven, instrumenting almost everything and using data to understand what's working, and they're constantly looking for ways to improve their software development process.
Key Points
Evidence's open-source project has 7,000 GitHub stars and a large community of data professionals.
The company is backed by Y Combinator, SV Angel, A Capital, and founders of dbt and PagerDuty.
Evidence's small team has a high bar for hiring, focusing on exceptional engineers.
The company is rethinking software development, aiming to automate most of the lifecycle.
Evidence is data-driven, instrumenting almost everything and tracking metrics to understand what's working.
Why It Matters
If you're a data professional or part of a team using BI tools, Evidence's approach to merging human and AI analytics could change how you work. Their focus on automation and exceptional engineering could lead to more efficient and effective data analysis processes. For example, teams using Evidence's tools might see a significant reduction in manual data processing tasks, allowing them to focus on higher-level analytics and decision-making.
Comments
Be the first to comment
Enjoyed this article?
Get it daily. 7am. Free. Reads in 5 minutes.
Join 3,566 builders reading daily.