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OntoCraft

★4.3
💬119
💲Freemium

OntoCraft is a GenAI-powered analytics platform that simplifies AI for enterprises through self-serve analytics. It enables users to transform business requirements into machine language, generate insights, and build data ontologies with tools like OntoCraft and OntoSphere. This platform streamlines data analysis by reducing technical dependencies and empowering business users with intuitive tools.

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Platform
web
AnalyticsBusiness IntelligenceData AnnotationData ManagementData OntologyGenAIMachine Learning

What is OntoCraft?

OntoCraft is a GenAI-powered analytics platform designed to simplify AI for enterprises by enabling self-serve analytics. It allows users to convert business requirements into executable machine language, offering explainable and accurate insights. The platform empowers business users with tools like OntoCraft for building data ontologies and OntoSphere for annotating them with business glossaries, making data analysis more accessible and efficient.

Core Technologies

  • GenAI
  • Large Language Models (LLMs)
  • Machine Learning
  • Natural Language Processing

Key Capabilities

  • Convert business requirements into machine language
  • Build data ontologies
  • Annotate data with business glossaries
  • Provide self-serve analytics
  • Generate explainable insights

Use Cases

  • Transform data using GenAI insights to improve productivity
  • Build data ontologies for better data organization
  • Annotate datasets with business glossaries for clarity
  • Enable non-technical users to perform analytics independently
  • Support enterprise-level data management with custom solutions

Core Benefits

  • Increased productivity in data analysis
  • Accelerated analytics use case implementation
  • Empowers business users with self-serve analytics
  • Offers automation for data transformation
  • Enhances data understanding through ontology and annotation

Key Features

  • GenAI-powered analytics
  • Automatic conversion of business requirements into machine language
  • Data ontology building with OntoCraft
  • Business glossary annotation
  • Self-serve analytics for business users

How to Use

  1. 1
    Input business requirements in natural language.
  2. 2
    Use OntoCraft to build and annotate data ontologies.
  3. 3
    Generate insights through GenAI-powered analytics.
  4. 4
    Access support based on your pricing tier.

Pricing Plans

Individuals

Free
5 Datasets | 100 MB Size | 100 Queries, Generalized LLMs, Limited email support, Cloud deployment, OpenAI LLMs integration, Limited analytical queries

Startups & SMBs

Subscription
30 Datasets | 10 GB Size | 1K Queries, Domain specific fine-tuned LLMs, Priority support, On-premise & cloud deployment, Open source LLMs integration, Wider coverage for analytical queries

Enterprises

Custom
Unlimited Datasets | Size | Queries, Use-case specific fine-tuned LLMs, Priority 24/7 support, On-premise & cloud deployment, Open source LLMs integration, Wider coverage for analytical queries

Frequently Asked Questions

Q.What is OntoCraft?

A.OntoCraft is a tool within the LEGOAI platform that helps data producers build data ontologies depicting a semantic data model. It allows for annotation and tagging with business glossaries at a column and table level.

Q.What kind of support does LEGOAI offer?

A.LEGOAI offers different levels of support depending on the pricing tier, including limited email support for individuals, priority support for startups and SMBs, and priority 24/7 support for enterprises.

Q.What are the key benefits of using LEGOAI?

A.LEGOAI helps transform data with GenAI-powered insights, leading to productivity gains, accelerated analytics use case implementation, and increased adoption by removing technical dependencies through automation.

Pros & Cons (Reserved)

✓ Pros

  • Increased productivity in data analysis
  • Accelerated analytics use case implementation
  • Increased adoption through automation
  • Empowers business users with self-serve analytics
  • Offers a range of tools for data ontology and annotation

✗ Cons

  • May require some initial setup and configuration
  • Reliance on GenAI for insights generation
  • Effectiveness depends on the quality of input data and business requirements

Alternatives

No alternatives found.