Our core technology has been 5 years in the making and comes from a research program led by Boston University, along with Sprint Labs and Intel Research. Inspired by problems routinely faced by network operators, our research began with a basic (but very hard) question: what is the best way to collect and mine data across entire networks to automatically extract events of operational and business importance?

We soon found ourselves sifting through terabytes of data streams trying to find the proverbial needles in this data avalanche. How can a machine automatically find the IP address that began a worm epidemic? Before the epidemic breaks? How can a system automatically isolate the misconfigured prefix that caused an outage, which in turn overloaded another part of the network? Even in a Google-style search, the user provides the intelligence with the keywords on which to search.

So the challenge was to build a system that is intelligent enough to supply those keywords, a system that is continuously learning and improving, all for one purpose: to automatically detect, localize, classify, prioritize and report actionable information. In real-time, before it is too late. We call this a data-in, information-out network analytics platform. Five years later, and after a number of research breakthroughs, we knew we had a promising solution. The aha-moment for Guavus came when network operators came to us and said that they would buy a product if we built one. And at that point, we realized that more than just interesting research, what we had in fact addresses a market need.

A business plan and an investment round later, Guavus was born!

We're now an energetic, dedicated and growing group, currently building version one-point-oh of our flagship product. We take pride in designing elegant solutions to superbly complex problems, are passionate about building world-class products and deeply care about making an impact in the real world.

And we've already accomplished a fair bit: in February 2006, Guavus India was founded. By September 2006, the first engineers had came on-board. Four months later, in January 2007, we had an alpha ready. And in May 2007, we had our first beta deployment. We strive to be faster, more agile, and smarter as we take on an ambitious engineering project.

If you think you've got what it takes to join our team, please apply for a job