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What is esProc Desktop?

esProc Desktop serves as a user-friendly programming language designed specifically for individuals without a programming background, offering a powerful toolkit for data processing and analytics directly on their desktops. This software effectively addresses several challenges, including executing intricate calculations and transformations that Excel can handle, facilitating interactive data analysis across multiple stages that traditional BI tools often fail to manage, and streamlining the repetitive processing of batch files such as XLS and CSV formats through querying, calculating, generating, and converting data. With its intuitive and aesthetically pleasing interface, esProc Desktop empowers non-professional programmers to utilize its full programming capabilities seamlessly, allowing them to navigate and explore data independently while enhancing their analytical skills. Furthermore, the platform's integration with Excel makes it even more accessible for users looking to boost their data handling efficiency.

What is Zerve AI?

Zerve is the agentic data workspace designed for anyone who works with data, from solo analysts, data scientists and business users alike. Zerve brings together exploration, advanced analysis, collaboration, and production deployment into a single AI-native environment, so that important data work doesn’t stall, break, or disappear. Zerve is used by data professionals in companies such as BBC, QVC, Dun & Bradstreet, Airbus, and many others. Zerve makes advanced data work accessible, durable, and deployable from day one, starting with the messy, real-world data most projects begin with. At the heart of Zerve is a new way for humans and AI agents to work together. Zerve’s AI agents understand the full context of a project and actively help plan, build, debug, and iterate across multi-step analyses. Agents can assist with tasks like cleaning and transforming data, identifying issues, and testing approaches, reducing the manual effort that slows teams down. This means working at a higher level of abstraction without being slowed by setup or syntax. With Zerve, you always have an expert data scientist at your side, guiding decisions, suggesting next steps, and taking action. Unlike traditional data notebooks, workflows in Zerve are reproducible and stable. Users can work across Python, SQL, and R in a single workspace, connect directly to databases, data lakes, and warehouses, and integrate with Git for version control. The built-in distributed computing engine powers massively parallel execution for large-scale analysis, simulations, and AI workloads, with multi-agent orchestration coordinating complex pipelines behind the scenes. Zerve can be used as SaaS, self-hosted, or even on-premise for regulated environments.

Media

Media

Integrations Supported

Integrations Supported

Amazon API Gateway
Amazon Web Services (AWS)
Docker
GitHub
MariaDB
Markdown
MySQL
PostgreSQL
Python
R
SQL
Snowflake

API Availability

API Availability

Pricing Information

$99/user/year
Free Trial Offered?

Pricing Information

$0
Pro $20/mo, Team $40/mo, Enterprise custom pricing.
Free Version

Supported Platforms

Windows

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Scudata

Date Founded

2000

Company Location

Hong Kong

Company Website

www.scudata.com/esproc-desktop/

Company Facts

Organization Name

Zerve AI

Date Founded

2023

Company Location

Ireland

Company Website

www.zerve.ai/

Categories and Features

Data Analysis

Not specified

Data Visualization

Not specified

Categories and Features

AI Data Analytics

Not specified

AI Development

Not specified

AI Infrastructure

Not specified

Data Analysis

Not specified

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Data Visualization

Not specified

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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