2023-2
CL
Incumbent semantic search yields false positives for similar words due to poor vector context. To solve the context problem, Blar built a database based on a graph structure where each vector has neighbors' data.
Founders
CTO
Benjamín Errázuriz
I studied Computational Civil Engineering and have been dedicated to programming since the outset of my career. I am particularly focused on the intersection between technology and product, always ensuring that everything we build is meaningful, cohesive, and delivers value to the end user. In my first job, I transitioned from a Full Stack Engineer to Teach Lead in less than two years. I managed a mobile sales app, growing its user base from 10 to 120 in just six months.
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CEO
José Domínguez
Ever since I started learning about AI I became obsessed with how it can be used to optimize processes, automate tasks and gain insights previously thought impossible to achieve using a computer. This obsession made me take part in most of the AI courses offered at my university. At a previous startup, we created a system capable of recording, translating and gaining insights based on Inbound calls using AI.