LayerNext
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About
LayerNext is an AI Deep Research Agent designed for financial, ERP, and operations data. It supercharges research, analysis, and decision-making by providing AI-powered insights and automating data discovery, preparation, deep-dive root cause analysis, and insight generation across diverse data sources. It aims to cut 80% of manual work and reduce request fatigue by handling complex analytical tasks. LayerNext goes beyond traditional dashboards by providing hypothesis-based deep analysis, automatically running hundreds of analyses to deliver actionable insights. It integrates structured, semi-structured, and unstructured data from platforms like Snowflake, Databricks, BigQuery, RedShift, and on-premise systems. The platform ensures accuracy by crawling data sources, extracting metadata, indexing it in a proprietary MetaLake, and building fine-tuned data models with human feedback, achieving 90-95% accuracy. LayerNext is enterprise-ready, offering flexible integration, secure deployment within existing infrastructure, and role-based data access control.
Platform
Task
Features
• seamless integration with enterprise data sources
• role-based data access control
• accurate, grounded research across diverse data
• hypothesis-based deep analysis
• production-ready ai (adapts without training)
• reduces request fatigue & analyst burnout
• automates data discovery & deep-dive analysis
• ai deep research agent
FAQs
What is LayerNext?
LayerNext is a Strategic Intelligence Platform powered by your data. It understands your business through deep analysis of connected data sources, reverse engineers objectives, and provides actionable tasks with data-driven insights.
Why is LayerNext different from other legacy analytic tools?
Most analytics tools focus on static dashboards or reports. LayerNext uses generative AI to analyze dynamic business aspects, providing real-time, actionable insights that go beyond static reporting.
Why is LayerNext different from other chatbots or copilots ?
LayerNext is a proactive insights engine, not just a chatbot. It uses advanced AI to build a comprehensive internal data model, deeply understanding relationships and rules within complex datasets for accurate insights.
What Data formats LayerNext supports ?
LayerNext supports structured data (SQL), semi-structured data (MongoDB), and unstructured data (PDFs, Excel, reviews, emails). It also integrates with Snowflake, Databricks, Google BigQuery, and on-premises SQL servers.
How can I trust LayerNext generated insights or answers ?
Trust is core to LayerNext. Its AI data modeling agent accurately captures metadata and builds solid internal data models, refined with human feedback. This process ensures 90-95% accuracy for reliable business decisions.
Is LayerNext enterprise ready ?
Absolutely. LayerNext is built for enterprise use with robust security and privacy features, including role-based access controls. It ensures data security whether in the cloud or on-premises, delivering insights to authorized users.
Pricing Plans
Starter
USD-1.00 / per month• Deep research agent
• AI search assistant (SQL only)
• MetaLake
• Limited users
• Self-serve analytic
• Basic auth
• Slack community support
Enterprise
USD-1.00 / per month• Deep research agent
• AI search assistant (SQL + Files)
• MetaLake
• Eval assistant
• Unlimited users
• Self-serve analytic
• SSO
• RBAC
• Private VPC Deployment
• Dedicated customer success manager
Job Opportunities
There are currently no job postings for this AI tool.
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