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Description
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.
Description
Begin by familiarizing yourself with your zap Audit project and delve into the statistics of the data set. It's essential to present the key processes in each data set in a straightforward and clear manner. You can document your discoveries directly within the software or mark specific indicators, profiles, or documents for future reference. Additionally, you have the option to export the analysis results to Excel for deeper evaluations and further analysis. If you suspect fraudulent activity and wish to focus on findings related to a specific context, the flexible filter function allows you to do just that. You can quickly contextualize questionable entries and swiftly pinpoint any irregular postings. Moreover, you can manage and work on multiple projects simultaneously or collaborate effectively with your colleagues, enhancing overall productivity. This collaborative approach not only strengthens the analysis but also fosters teamwork and shared insights.
API Access
Has API
API Access
Has API
Integrations
Amazon API Gateway
Amazon Web Services (AWS)
Docker
GitHub
MariaDB
Markdown
MySQL
PostgreSQL
Python
R
Integrations
Amazon API Gateway
Amazon Web Services (AWS)
Docker
GitHub
MariaDB
Markdown
MySQL
PostgreSQL
Python
R
Pricing Details
$0
Free Trial
Free Version
Pricing Details
€18,000 per 6 months
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
Zerve AI
Founded
2023
Country
Ireland
Website
www.zerve.ai/
Vendor Details
Company Name
Zapliance
Founded
2015
Country
Germany
Website
zapliance.com/zap-audit
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
