By Lucas Matney
Reference docs and spreadsheets seemingly make the world go ’round, but what if employees could just close those tabs for good without losing that knowledge?
One startup is taking on that complicated challenge. Predictably, the solution is quite complicated as well from a tech perspective, involving an AI solution that analyzes everything on your PC screen — all the time — and highlights text onscreen that you could use a little bit more context on. The team at Polarity wants its tech to help teams lower the knowledge barrier to getting stuff done and allow people to focus more on procedure and strategy then memorizing file numbers, IP addresses and jargon.
The startup’s computer vision software that uses character recognition to analyze what’s on a user’s screen can be helpful for enterprise teams importing things like a company rolodex so that bios are always collectively a click away but the real utility comes from team-wide flagging of things like suspicious IP addresses that will allow entire teams to learn about new threats and issues at the same time without having to constantly check-in with their co-workers.
Using character recognition to analyze a screen for specific keywords is useful in itself, but that’s also largely a solved computer vision problem.
Polarity’s big advance has been getting these processes to occur consistently on-device without crushing a device’s CPU. Battista says that for the average customer, Polarity’s software generally eats up about 3-6% of their computer’s processing power though it can spike much higher if the system is getting fed a ton of new information at once.
When it comes to a piece of software analyzing everything on your screen at all times, there are certainly some privacy concerns not only from the employee’s perspective but from a company’s security perspective.
Battista says that teams at seven Fortune 100 companies are currently paying for Polarity, with many more in pilot programs. The team is currently around 20 people and with this latest fundraise, Battista wants to double the size of the team in the next 18 months as they look to scale to larger rollouts at major companies.