Lineate

About Lineate

Our team specializes in solving the kind of complex, data-centric engineering challenges that enable truly standout software And until it's vastly scalable, fast and stable - we don't even consider it functional

Read more about how we've helped companies raise the bar:

A trillion data points. One delightfully challenging solution.

PlaceIQ is a company that examines how consumers operate within the physical world to provide brands with the insight to make intelligent decisions If that sounds impressively complex, that's because it is

Lineate partnered with PlaceIQ to build an audience insights architecture that feeds algorithms 6-9 billion data points per day, and delivers targeting information in 60 milliseconds or less In other words, we helped them channel a flood of data into a true competitive advantage

5b daily events, one real-time dashboard, and a dream.

33Across are a bunch of ad-serving wizards Their programmatic ad platform helps premier publishers earn revenue, optimize yield, gain actionable insights, and do a whole load of other clever stuff

But that wasn't enough for them So they asked us to provide their publishers with state-of-the-art dashboards, which aggregate key performance data from 5 billion raw daily ad-serving events The solution was simple (And by simple, we mean of course, incredibly complex )

A Moove towards safer driving

Connected cars are the future Unless you're a team of super-advanced innovators like Moove ai—in which case connected cars are the present

As frontrunners in the industry, Moove ai wanted to build a data pipeline for terabytes of road attributes, current weather, and accident data This would allow them to provide real-time safety scores for every stretch of the road Lineate helped them realize this incredibly ambitious goal with some innovative data solutions (Yes, we're being purposefully vague Check out the full story for the sweet, sweet details )

What to consider when considering serverless microservices.

Serverless microservices can be extremely useful architecture IF you know when and how to implement them

Check out our latest article where we run down the pros and cons of using serverless microservices in different cases

How data-rich dashboards changed the game.

if you want to create real-time dashboards in this day and age, you've got some serious data volume and variety to contend with first And that kind of challenge requires a proactive approach Read our flashy new eBook for tips on how to:

Tackle exploring data in real time
Address challenges of querying event level data
Manage complexity using drill paths

3 major problems with outsourcing (and how we fixed them).

Outsourcing can be a pain - especially when it's a high-stakes software project There are a few consistent frustrations that seem to pop up as obstacles when working with a 3rd party

But we've cracked the code Read on to see how we solved some of the major issues with outsourcing