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Description
Graphwise is an advanced AI platform designed to assist businesses in automating their knowledge processes while ensuring confidence in their AI systems by converting disparate data into a reliable semantic foundation. This comprehensive suite enhances the reliability and scalability of generative AI by transforming raw data into contextually rich, AI-compatible assets, implementing intelligent agent-based frameworks, and offering robust AI applications within a cohesive platform. By utilizing Precise GraphRAG, Graphwise transcends mere data fragments, leveraging a governed knowledge graph to anchor every response in established facts, thereby removing inaccuracies and delivering precise, actionable insights. The platform integrates automated modeling, cutting-edge graph technology, semantic search, recommendation systems, taxonomy and ontology management, data automation, graph-centric text mining, and enterprise-ready GraphRAG workflows. Suitable for a variety of applications, it addresses challenges in technical knowledge management, semantic digital twins, compliance intelligence, and scientific knowledge management, showcasing its versatility across numerous business needs. Additionally, Graphwise's innovative approach ensures that organizations can achieve a deeper understanding of their data, ultimately leading to informed decision-making and enhanced operational efficiency.
Description
The intelligent semantic layer merges data with its business context and interconnections, consolidates metrics, and speeds up the production of data products by allowing for SQL queries that are 90% shorter. Users can easily model the data using familiar business terminology, creating a shared understanding and aligning the metrics with business objectives. By defining semantic relationships that replace traditional JOIN operations, queries become significantly more straightforward. Hierarchies and classifications are utilized to enhance data comprehension. The system automatically aligns data with the semantic model, enabling the integration of various data sources through a robust distributed SQL engine that supports large-scale querying. Data can be accessed as an interconnected semantic graph, improving performance while reducing computing expenses through an advanced caching engine and materialized views. Users gain from sophisticated query optimization techniques. Additionally, Timbr allows connectivity to a wide range of cloud services, data lakes, data warehouses, databases, and diverse file formats, ensuring a seamless experience with your data sources. When executing a query, Timbr not only optimizes it but also efficiently delegates the task to the backend for improved processing. This comprehensive approach ensures that users can work with their data more effectively and with greater agility.
API Access
Has API
API Access
Has API
Integrations
Amazon Athena
Amazon Aurora
Amazon Redshift
Amazon Web Services (AWS)
Apache Drill
Apache Parquet
Apache Spark
ClickHouse
Delta Lake
Domo
Integrations
Amazon Athena
Amazon Aurora
Amazon Redshift
Amazon Web Services (AWS)
Apache Drill
Apache Parquet
Apache Spark
ClickHouse
Delta Lake
Domo
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$599/month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Graphwise
Country
Bulgaria
Website
graphwise.ai/
Vendor Details
Company Name
Timbr.ai
Founded
2018
Country
United States
Website
timbr.ai/
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization