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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.

About

OrbOps AI is an agentic infrastructure operations platform for DevOps, SRE, Platform Engineering, Cloud, and Security teams. O2 AI uses specialized AI agents to coordinate and automate workflows across CI/CD, releases, incidents, on-call, infrastructure, Kubernetes, security, access governance, provisioning, observability, and FinOps. The platform brings together context from source code, cloud infrastructure, Infrastructure as Code, monitoring, security, identity, and cost-management systems to help teams investigate issues, prepare deployment plans, correlate alerts, understand dependencies, and automate repetitive operations. OrbOps AI follows an Observe → Reason → Plan → Approve → Act → Verify model, combining agentic automation with human and policy controls for critical infrastructure actions. It is designed to work with existing DevOps ecosystems including GitHub, GitLab, Terraform, Kubernetes, AWS, GCP, Azure, Prometheus, Grafana, OpenTelemetry, PagerDuty, and Jira.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

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

Audience

B2B

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

Free
Free Version Not Supported
Free Trial Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

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 4.0 / 5
design 4.0 / 5
support 4.0 / 5

Pros & Cons from Real Users

Pros

  • - Cuts down significantly on manual ops toil — routine tasks that used to need hands-on intervention are now handled with much less effort - Access management is noticeably faster — fewer manual approval bottlenecks compared to a ticket-and-wait process - FinOps visibility is built into the same platform, so you're not stitching together a separate cost-management tool - Repo-to-production deployment is dramatically faster — takes our GitHub repo to our AWS cloud in about 45 minutes, and has cut client onboarding from days down to roughly 60 minutes from repo to live production Good fit for teams running AWS/GCP/Kubernetes/Terraform/ who want AIOps and DevOps Agents consolidated rather than fragmented across tools

Cons

  • Rewards a bit of ramp-up time like any automation platform, it takes a short adjustment period to get comfortable trusting the automated actions, but that trust builds quickly with use and They're still building out its ecosystem as a newer platform, the surrounding community and integrations are growing, with more third-party resources expected as adoption increases

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

Genesis Computing
Founded: 2024
United States
genesiscomputing.ai/

Company Information

OrbOps AI
Founded: 2025
India
www.orbops.ai

Alternatives

Alternatives

DataBuck

DataBuck

FirstEigen

Categories

Agentic AI Supported
Agentic DevOps Supported
AI Agents Supported
AI Data Analytics Supported
Data Quality Supported
DataOps Supported

Categories

Agentic DevOps Supported

Integrations

Amazon Web Services (AWS) Supported
GitHub Supported
Google Cloud Platform Supported
Jira Supported
Microsoft Azure Supported
Apache Kafka Supported
Apache Spark Supported
Azure Databricks Supported
Docker Supported
Git Supported
Grafana Cloud Not Supported
Kubernetes Not Supported
Microsoft Teams Supported
OpenTelemetry Not Supported
PagerDuty Not Supported
Prometheus Not Supported
Python Supported
Slack Supported
Snowflake Supported
Terraform Not Supported

Integrations

Amazon Web Services (AWS) Supported
GitHub Supported
Google Cloud Platform Supported
Jira Supported
Microsoft Azure Supported
Apache Kafka Not Supported
Apache Spark Not Supported
Azure Databricks Not Supported
Docker Not Supported
Git Not Supported
Grafana Cloud Supported
Kubernetes Supported
Microsoft Teams Not Supported
OpenTelemetry Supported
PagerDuty Supported
Prometheus Supported
Python Not Supported
Slack Not Supported
Snowflake Not Supported
Terraform Supported
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