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Description

Octolane AI, a startup supported by Y Combinator, excels in the management and analysis of extensive datasets across diverse sectors, including healthcare and sales. Our inaugural product focuses on delivering real-time B2B data enrichment solutions, utilizing advanced large language models (LLMs) for enhanced accuracy. We oversee a substantial repository of over 50 million company records and 300 million contact entries, continuously expanding and refining our database to maintain high standards of precision. With our proprietary AI and machine learning applications, we efficiently handle millions of requests each month, ensuring seamless integration tailored to your business requirements. Our meticulous process incorporates multiple layers of cross-checking, comprehensive data cleaning, and thorough analysis across billions of data rows. We accommodate a wide array of data types, such as images and videos, along with both structured and unstructured data, to guarantee that the processed information is well-suited for AI and machine learning applications. By focusing on these diverse datasets, we aim to empower businesses with actionable insights derived from high-quality data.

Description

Embracing data-centric AI has become remarkably straightforward thanks to advancements in automated data quality profiling and synthetic data creation. Our solutions enable data scientists to harness the complete power of their data. YData Fabric allows users to effortlessly navigate and oversee their data resources, providing synthetic data for rapid access and pipelines that support iterative and scalable processes. With enhanced data quality, organizations can deliver more dependable models on a larger scale. Streamline your exploratory data analysis by automating data profiling for quick insights. Connecting to your datasets is a breeze via a user-friendly and customizable interface. Generate synthetic data that accurately reflects the statistical characteristics and behaviors of actual datasets. Safeguard your sensitive information, enhance your datasets, and boost model efficiency by substituting real data with synthetic alternatives or enriching existing datasets. Moreover, refine and optimize workflows through effective pipelines by consuming, cleaning, transforming, and enhancing data quality to elevate the performance of machine learning models. This comprehensive approach not only improves operational efficiency but also fosters innovative solutions in data management.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon S3
Amazon Web Services (AWS)
Azure Marketplace
Kubernetes
Microsoft Azure
MySQL
PostgreSQL
SQL
Salesforce
VMware Cloud

Integrations

Amazon S3
Amazon Web Services (AWS)
Azure Marketplace
Kubernetes
Microsoft Azure
MySQL
PostgreSQL
SQL
Salesforce
VMware Cloud

Pricing Details

$1,000 per month
Free Trial
Free Version

Pricing Details

No price information available.
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

Octolane AI

Website

www.octolane.com

Vendor Details

Company Name

YData

Country

United States

Website

ydata.ai/

Product Features

CRM

Calendar/Reminder System
Call Logging
Document Storage
Email Marketing
Internal Chat Integration
Lead Scoring
Marketing Automation Integration
Mobile Access
Quotes / Proposals
Segmentation
Social Media Integration
Task Management
Territory Management

Product Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Alternatives

Alternatives