Enigma

“Currently, ah, it's about thirty billion records that we have, and growing, growing very rapidly.”

“We were the only live demo at TechCrunch Disrupt, apparently.”

“Most of the problems exist not because we don't know how to analyze the data or we don't necessarily see the patterns of the data. It's just because these data sets are born in different contexts and have different purposes, right?”

“Some of the best companies I know have very strong feedback loops into their data, and that's, you know, an even better technology than the underlying model.”

“And this is something that we deployed You know, ah, with the city of New Orleans, ah, have people actually go out and, ah, kind of knock on doors and deploy smoke detectives this way.”

“It was just not hitting the scale that we needed to acquire, you know, the 100,000 Plus data sets that we have in the system, and kind of maintain them, and it was just not operational enough.”

“It was the first data catalog that came out with this notion of actually searching through billions of records, searching through big data, so to speak, and actually hitting on actual data points inside the tables as opposed to the metadata in the table, right…”

“So it's definitely not generalizable, which is, you know, part and parcel of our IP, right? Being able to resolve companies and specifically small and medium businesses really well is different than being able to resolve people and being able to resolve, you k…”

“The Enigma company graph is probably the one folks are familiar with the most at this point, which contains thirty million You know, different SMBs worth of data, and over a thousand attributes that we've been sourcing from public data, deriving.”

“Most of the successes you hear about in, ah, the data space Enterprise or not. The data that they deal with is instrumented in bits, i.e., the data that they're collecting comes from a machine, most often user activity generated on the internet.”

“We recently fundraised, ah, just shy of a hundred million dollars”

“BlackRock is a big customer. PayPal is a big customer. American Express is a big customer. BB&T is a big customer.”

“Half of the equation is not just about our data, but about the customer data and how the customer data needs to be transformed in such a way that you can actually take decisions on it.”

“Whereas we had exposed hundreds of thousands of data sets and told people, go at it, the reality of the matter was that, you know, we had to connect the dots in our data in the data ourselves, and we had to merge the data together to make it Into one data mode…”