AICtrlNet

AICtrlNet

Bodaty LLC
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About

AICtrlNet enforces AI governance instead of only observing it. Unlike tools that score or monitor AI risk, it runs the work — orchestrating AI agents, humans (as first-class agents, not just approval gates), and enterprise systems under a unified governance model. Model-independent across OpenAI, Claude, Gemini, and local runtimes (Ollama, vLLM). A 6-phase Control Spectrum sets autonomy per workflow and agent. Ships 43 role-configured agent templates and 177+ workflow templates across 41 industry packs. Runs n8n, Zapier, and Make as nodes rather than replacing them. Supports HIPAA, GDPR, SOC2, and EU AI Act via design-time governance and audit-grade accountability. Open-core editions: Community (MIT, free, self-hostable) ships the core platform; Business adds ML-enhanced governance and risk scoring; Enterprise adds multi-tenancy and federation. Access via the HitLai visual no-code interface, REST API, or MCP.

About

Domino is an enterprise AI platform designed to help organizations build, deploy, and scale AI systems that deliver real business outcomes. It provides end-to-end support for the AI lifecycle, from data science experimentation to production deployment and governance. The platform enables teams to access data, tools, and compute resources through a self-service environment with built-in IT controls. Domino supports the development of machine learning models, generative AI applications, and AI agents using preferred tools and frameworks. It also includes governance features such as model tracking, audit trails, and policy enforcement to ensure compliance and transparency. With hybrid and multi-cloud capabilities, organizations can run AI workloads across on-premises and cloud environments. Overall, Domino helps enterprises operationalize AI at scale while maintaining control, security, and efficiency.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Mid-market and enterprise teams deploying AI agents in regulated or customer-facing operations; developers and self-hosters adopting an open-source (MIT) AI governance core

Audience

Large enterprises, data science teams, and IT leaders looking to build, deploy, and կառավար AI systems at scale with strong governance, security, and infrastructure control

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

No images available

Screenshots and Videos

Pricing

$599/month
Free Version
Free Trial

Pricing

Per user/per year
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 4.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • Domino Data Science has the following pros: - Great Customer service. - Flexibility with notebooks and the ability to define your environment as per your needs. - Collaboration is very much easy with this software. - Launches Quickly and easily scalable of Kubernetes infrastructure.

Cons

  • The only cons that I found with this software were that the datasets are not accessible outside the platform. Other than that, this works fine for me.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Bodaty LLC
Founded: 2016
United States
www.bodaty.com

Company Information

Domino Data Lab
Founded: 2013
United States
www.dominodatalab.com

Alternatives

Alternatives

Categories

Categories

Data Science Features

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

Deep Learning Features

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Machine Learning Features

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

Integrations

Amazon EC2 Trn2 Instances
Amazon SageMaker
Apache Zeppelin
Bitbucket
GitHub
GitLab
H2O.ai
Jira
JupyterLab
MATLAB
NVIDIA EGX Platform
NVIDIA HPC SDK
NVIDIA RAPIDS
Okera
PyCharm
PyTorch
R
SPARK
Snowflake
python-sql

Integrations

Amazon EC2 Trn2 Instances
Amazon SageMaker
Apache Zeppelin
Bitbucket
GitHub
GitLab
H2O.ai
Jira
JupyterLab
MATLAB
NVIDIA EGX Platform
NVIDIA HPC SDK
NVIDIA RAPIDS
Okera
PyCharm
PyTorch
R
SPARK
Snowflake
python-sql
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