LayerNext is a no-code platform that utilizes large language models and retrieval-augmented generation to automate data analysis and generate actionable business insights. It reduces ad hoc analysis time by five times and increases data team productivity by 75%, enabling users to independently uncover insights through natural language queries.
Funding
$30K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Data teams often face bottlenecks due to ad-hoc data requests from business users, leading to delays in insight generation and reduced productivity. Traditional analytics tools require specialized skills and are not easily accessible to non-technical users, creating a dependency on data teams for even basic analysis.
Solution
LayerNext is an AI-powered platform that automates data analysis and insight generation, enabling business users to independently uncover insights through natural language queries. By leveraging large language models and retrieval-augmented generation, LayerNext reduces the reliance on data teams for ad-hoc requests and accelerates the delivery of actionable insights. The platform crawls and indexes data sources, builds data models, and fine-tunes them with human feedback to ensure accuracy. LayerNext empowers business users to turn business goals into action by reverse engineering objectives into data-driven tasks.
Target Audience
LayerNext is designed for business and analytics teams that want to accelerate insight generation, reduce reliance on data teams, and empower business users to make data-driven decisions.
Features
- Natural language interface for querying data and generating reports
- Automated data discovery, data preparation, and insight generation
- AI-powered data modeling agent that builds and maintains accurate data models
- Deep dive root cause analysis across all available data sources
- Predictive insights to anticipate future trends and outcomes
- Role-based access control to ensure data security and privacy
- Support for structured, semi-structured, and unstructured data formats
- Integrations with popular cloud platforms like Snowflake, Databricks, and Google BigQuery, as well as on-premises data warehouses