Skip to main content

InsightFinder get $2M seed to automate outage prevention

InsightFinder, a startup from North Carolina based on 15 years of academic research, wants to bring machine learning to system monitoring to automatically identify and fix common issues. Today, the company announced a $2 million seed round.

​IDEA Fund Partners, a VC out of Durham, North Carolina,​ led the round with participation from ​Eight Roads Ventures​ and Acadia Woods Partners. The company was founded by North Carolina State professor Helen Gu, who spent 15 years researching this problem before launching the startup in 2015.

Gu also announced that she had brought on former Distil Networks co-founder and CEO Rami Essaid to be Chief Operating Officer. Essaid, who sold his company earlier this year, says his new company focuses on taking a proactive approach to application and infrastructure monitoring.

“We found that these problems happen to be repeatable, and the signals are there. We use artificial intelligence to predict and get out ahead of these issues,” he said. He adds that it’s about using technology to be proactive, and he says that today the software can prevent about half of the issues before they even become problems.

If you’re thinking that this sounds a lot like what Splunk, New Relic and DataDog are doing, you wouldn’t be wrong, but Essaid says that these products take a siloed look at one part of the company technology stack, whereas InsightFinder can act as a layer on top of these solutions to help companies reduce alert noise, track a problem when there are multiple alerts flashing, and completely automate issue resolution when possible.

“It’s the only company that can actually take a lot of signals and use them to predict when something’s going to go bad. It doesn’t just help you reduce the alerts and help you find the problem faster, it actually takes all of that data and can crunch it using artificial intelligence to predict and prevent [problems], which nobody else right now is able to do,” Essaid said.

For now, the software is installed on-prem at its current set of customers, but the startup plans to create a SaaS version of the product in 2020 to make it accessible to more customers.

The company launched in 2015, and has been building out the product using a couple of National Science Foundation grants before this investment. Essaid says the product is in use today in 10 large companies (which he can’t name yet), but it doesn’t have any true go-to-market motion. The startup intends to use this investment to begin to develop that in 2020.



from TechCrunch https://ift.tt/2u7rIUm
Labels:

Comments

Post a Comment

Popular posts from this blog

How To Play Doom – And More – On An NES

Doom was a breakthrough game for its time, and became so popular that now it’s essentially the “Banana For Scale” of hardware hacking. Doom has been ported to countless devices, most of which have enough processing ability to run the game natively. Recently, this lineup of Doom-compatible devices expanded to include the NES even though the system definitely doesn’t have enough capability to run it without special help. And if you want your own Doom NES cartridge, this video will show you how to build it . We featured the original build from [TheRasteri] a while back which goes into details about how it’s possible to run such a resource-intensive game on a comparatively weak system. You just have to enter the cheat code “RASPI”. After all the heavy lifting is done, it’s time to put it into a realistic-looking cartridge. To get everything to fit in the donor cartridge, first the ICs in the cartridge were removed (except the lockout IC) and replaced with custom ROM chips. Some modifica...
Post a Comment
Read more

Try NopSCADlib for your Next OpenSCAD Project

Most readers of this site are familiar by now with the OpenSCAD 3D modeling software, where you can write code to create 3D models. You may have even used OpenSCAD to output some STL files for your 3D printer. But for years now, [nophead] has been pushing OpenSCAD further than most, creating some complex utility and parts libraries to help with modeling, and a suite of Python scripts that generate printable STLs, laser-ready DXFs, bills of material, and human-readable assembly instructions complete with PNG imagery of exploded-view sub-assemblies. Recently [nophead] tidied all of this OpenSCAD infrastructure up and released it on GitHub as NopSCADlib . You can find out more by browsing through the example projects and README file in the repository, and by reading the announcement blog post on the HydraRaptor blog . Some functionality highlights include: a large parts library full of motors, buttons, smooth rod, et cetera many utility functions to help with chamfers, fillets, precis...
Post a Comment
Read more

The Newbie’s Guide To JTAG

Do you even snarf? If not, it might be because you haven’t mastered the basics of JTAG and learned how to dump, or snarf, the firmware of an embedded device. This JTAG primer will get you up to snuff on snarfing, and help you build your reverse engineering skills. Whatever your motivation for diving into reverse engineering devices with microcontrollers, JTAG skills are a must, and [Sergio Prado]’s guide will get you going. He starts with a description and brief history of the Joint Test Action Group interface, from its humble beginnings as a PCB testing standard to the de facto standard for testing, debugging, and flashing firmware onto devices. He covers how to locate the JTAG pads – even when they’ve been purposely obfuscated – including the use of brute-force tools like the JTAGulator . Once you’ve got a connection, his tutorial helps you find the firmware in flash memory and snarf it up to a file for inspection, modification, or whatever else you have planned. We always apprec...
Post a Comment
Read more