The Intentionet team is joining AWS. We thank our customers and the open source community for their support over the years. We are proud of the technology and the community we have built, and we are excited to continue, under a new umbrella, our mission of transforming how networks are engineered. Visit and join our Slack channel to stay abreast of ongoing developments.

production Production Scale

Get comprehensive analysis for your entire network in software—no need for physical or virtual test environments

cloud-computing Hybrid & Multi-Cloud

Bring together your on-premise and public cloud infrastructure for complete end-to-end analysis

merge Built-in CI/CD

Use modern DevOps to automatically test and deploy every network change

Shape Holistic View

Gain unprecedented visibility into your network's security posture and connectivity matrix

The Trusted Tool of Network Engineers

Antonio Cesseracciu

Senior Network Engineer at eBay

“[Batfish] enabled the Network Engineering staff [at a large e-commerce company] to undertake a project to refactor a large business critical Access Control List, resulting in an 80% reduction in size, without any adverse business impact.”
“It has become operationally clear that the pace of change within our networks [is] at an inflection point. Network change cost is a complex evaluation with technical and business variables. Being able to reduce the unknowns pre-change will be a critical enabler to increasing our pace of change while staying within risk tolerances. Batfish is well suited to our desired workflows thanks to its low cost of scale and direct integration into infrastructure pipelines.”

Doug Gourlay

Vice President / General Manager - Software at Arista Networks

It’s really an awesome project by great people who genuinely care about helping network operators not $@!# up their networks

Nick Russo

Technical Leader at Cisco

The Batfish product by @intentionet seems far ahead of its time. Very capable and a great enhancement for network CI pipelines. Many use cases and obvious value prop. Ive committed to adding this to my evolving tech book later this summer!

Clay Curtis

Distinguished Engineer at Presidio

Awesome work @intentionet ! Really amazing what you have built. I'm just starting to work with #batfish and love it already.

Chris Young

Solutions Architect at ZScale

VERY cool project. network validation and testing is the only way the training wheels can come off the automation stacks. We need to build trust. This is a path forward.

Own the maintenance window

Predict the impact of a network change, empowering your network engineering and operations teams to respond to the rapidly changing needs of your business.

Countless man-hours are wasted due to changed induced outages and failed maintenance windows. The complexity of testing network changes is the problem. For too long it has been stuck in this world of hard to build, maintain and use lab environments.

With Batfish Enterprise, that all changes. Batfish Enterprise predicts the impact of a network change, flagging outages and security vulnerabilities before you start the maintenance window, before the change is deployed in production.

And you don’t even need a fancy CI/CD pipeline to use it. Whether you are running a fully automated environment, partially automated environment or zero automation environment, Batfish Enterprise can fit into your change management practices and transform it.

Don’t go into that Saturday morning maintenance window hoping that the change will work, know that it will.

Learn from our customers

Supported Vendors

Coming Soon

Funny name. Groundbreaking open-source tech.

Batfish Enterprise builds on Batfish, the open-source network analysis engine we developed in collaboration with industry and academic partners. Our love for community-driven, open-source technologies inspires us to keep up our long-term Batfish investment and encourage development on this and other open-source platforms.

Learn about the differences between Batfish OSS and Batfish Enterprise

Intentionet™ is supported by the National Science Foundation, True Ventures and the United States Air Force