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About

Autoheal actively investigates alerts, hypothesizes root cause, and proposes mitigating fixes under human supervision. It also automates the postmortem phase completely. At its core is the Production Context Graph (PCG), a continuously updating, living map that connects your infrastructure, application logic, production tools and tribal knowledge in real-time. The PCG is built through autonomous exploration of your observability, cloud and code stack, and iteratively refined by a Reinforcement Learning loop as you use Autoheal. On top of the PCG lies a Multi-Agent Platform of specialized agents that collaborate with humans to solve production problems safely and efficiently. For AI agents focused on production engineering to succeed in real-world enterprise deployments, three crucial gaps must be addressed. The Context Gap: can the AI navigate my organization’s fragmented context? The Trust Gap: can I trust the AI to strictly adhere to my organization’s security policies?

About

Genesis Computing provides an enterprise AI platform built around autonomous “AI data agents” that automate complex data engineering and analytics workflows across an organization’s existing technology stack. It introduces a new category of AI knowledge workers that operate as autonomous agents capable of executing full data workflows rather than simply suggesting code or analysis. These agents can research data sources, ingest and transform datasets, map raw data from source systems to structured analytical targets, generate and run data pipeline code, create documentation, perform testing, and monitor pipelines in production environments. By handling these tasks end-to-end, the platform reduces the manual workload typically required to build and maintain data pipelines and analytics infrastructure.

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 engineering teams running complex production systems. SRE leaders, Platform Engineering teams, Heads of Support Engineering, VPs of Engineering, and CISOs at fintech, SaaS, healthcare technology, and other reliability critical industries.

Audience

Enterprise data engineering teams and data platform leaders who need autonomous AI agents to automate data pipelines, analytics workflows, and data operations across complex data infrastructures

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

No information available.
Free Version
Free Trial

Pricing

Free
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

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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:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Autoheal
Founded: 2025
United States
autoheal.ai/

Company Information

Genesis Computing
Founded: 2024
United States
genesiscomputing.ai/

Alternatives

Alternatives

DataBuck

DataBuck

FirstEigen

Categories

Categories

Integrations

Amazon Web Services (AWS)
Apache Kafka
Apache Spark
Azure Databricks
Docker
Git
GitHub
Google Cloud Platform
Jira
Microsoft Azure
Microsoft Teams
Python
Slack
Snowflake

Integrations

Amazon Web Services (AWS)
Apache Kafka
Apache Spark
Azure Databricks
Docker
Git
GitHub
Google Cloud Platform
Jira
Microsoft Azure
Microsoft Teams
Python
Slack
Snowflake
Claim Autoheal and update features and information
Claim Autoheal and update features and information
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