AI TOOL PROFILE

Eyelevelai: Enterprise RAG and Document Processing

Eyelevelai helps software companies and enterprises build RAG-based AI applications. It is designed for teams that need to process visually complex documents with options for on-premises deployment to support data privacy.

Pricing

Cloud plans include a free tier and a Pro tier starting at $500/month. On-premises pricing ranges from a free version for non-commercial use to $15K/year for production deployment.

At a glance

Best for
Software development firms, Enterprise companies, Organizations with strict data privacy requirements, Businesses with complex, non-standard document layouts
Key use cases
Building RAG Applications, Legal Document Analysis, Customer Support Automation, Insurance Fraud Detection, E-commerce Knowledge Bases
Integrations
Salesforce, Hubspot, Slack, Zapier, Google Drive
Visit EyelevelaiEyelevelai software interface screenshot

How AI is used

Eyelevelai offers a platform called GroundX designed to sit between private enterprise data and large language models. The software focuses on the ingest phase of AI development, using a vision model to convert PDFs, scans, and complex layouts into a format for AI use.

The tool is designed for software developers and enterprise operations managers in sectors such as legal, healthcare, and finance. It supports a data pipeline including ingestion, parsing, extraction, and a final correction stage to verify data accuracy.

Buyers can choose between a managed cloud environment or deploying the software on their own Kubernetes clusters, including air-gapped setups for high-security needs. It also includes no-code tools for building AI bots.

Before choosing this tool, buyers should confirm if they require a managed service or a self-hosted environment and whether their specific document types require the custom fine-tuning available in enterprise plans.

Key Features

  • GroundX Data Pipeline

    A four-stage process consisting of Ingest, Parse, Extract, and Correct to turn documents into structured data.

  • Double-Model Vision System

    A system trained on over one million pages to identify tables, layout regions, and visual hierarchies.

  • Flexible Deployment

    Supports managed cloud, on-premises installation, and air-gapped environments using Kubernetes.

  • No-Code Bot Builder

    Tools to upload content, design bot themes, and launch AI assistants on websites, SMS, or via QR codes.

  • RAG Evaluation Tools

    Diagnostics to help users identify where errors originate in the ingest, retrieval, or completion stages.

  • Source Linking

    Provides citations within AI answers so users can verify the source material.

Use Cases

  • Building RAG Applications

    Converting complex enterprise documents into data for use in LLM-powered apps.

  • Legal Document Analysis

    Analyzing transcripts, medical files, and police reports to find answers within legal files.

  • Customer Support Automation

    Ingesting contact center decision trees and manuals to support human agents or customers.

  • Insurance Fraud Detection

    Using the FraudX tool to identify insurance fraud through AI agents.

  • E-commerce Knowledge Bases

    Training bots on product catalogs and instruction manuals to assist customers.

Integrations

  • Salesforce
  • Hubspot
  • Slack
  • Zapier
  • Google Drive
  • Dropbox
  • Box
  • Microsoft OneDrive
  • MailChimp
  • Marketo
  • Segment
  • Heap
  • Intercom

FAQ

What is the difference between Eyelevelai Cloud and On-Prem?

Cloud is a managed service where Eyelevelai handles the compute, while On-Prem allows users to run the platform on their own Kubernetes cluster, including air-gapped environments.

Does Eyelevelai offer a free version?

Yes, there is a free cloud tier with a 5M token ingest limit and an open-source on-premises configuration for non-commercial use.

How does the platform handle complex document layouts?

It uses a vision model trained on over one million pages to identify tables, headers, and visual hierarchies.

Source category: Software Development

Source subcategory: AI Development Platform

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