Almug’s team is confident in its products and abilities; in Vijay’s own words, they are “very good techies”. Many of their solutions lie at the cutting edge of AI, machine learning and natural language processing, in other words, they are identifying needs that have never before been met.
Take, for example, their value-add in the fintech sphere, which Vijay describes with enthusiasm. Market-moving news typically reaches traders with a time lag, which financial institutions want to eliminate to the maximum possible extent. To enable quicker response time, Vijay and his team developed a system that he says, “can think like a financial analyst.”
Further, of the approximately half million documents that their platform receives in a day, a mere 1-2% are likely pertinent to traders. To address this, Almug developed a system, using natural language processing, that identifies these valuable ‘needles in the haystack’ in milliseconds. To add more value, they then refined the system such that it is able to decipher the tone of an announcement and assign a score for quick decision making.
Almug owes its current growth trajectory primarily to these core strengths, that have proved their genuine value in changing how their clients do business.