IN A NUTSHELL
0 +
Hours time-to-discovery reduced to under 10 seconds
0 %
Match accuracy, based on user feedback from enterprise teams
0 x
Reduction in time for meet preparation
0 +
Portfolio companies’ data structured and centralized
About Client
A global private equity and venture capital firm managing over $90 billion in assets, the client invests in innovative software businesses and helps connect them with enterprise buyers. With a rapidly growing portfolio of 600+ startups, the client sought to streamline how internal teams discover, surface, and recommend relevant companies to large enterprises.

500+
EMPLOYEESGlobal
LOCATIONPrivate Equity
INDUSTRYWhat Was the Challenge
With a rapidly expanding portfolio, the client’s internal teams found it increasingly difficult to identify the right startups for specific enterprise needs. Disconnected tools and scattered data made meeting prep slow and inefficient, often taking hours. They needed a centralized, intelligent platform to surface relevant companies in real time, respond to emerging business challenges on the fly, and unlock the full value of their 600-company portfolio while reducing operational overhead and improving sales conversations.
How We Solved the Problem
Ciklum collaborated with the client to build a scalable, cloud-based platform that redefined how teams access and activate startup insights. At its core was an AI-powered search feature that enabled real-time discovery during enterprise meetings, surfacing relevant portfolio companies in under 10 seconds. By combining data engineering, platform design, and AI, Ciklum transformed scattered startup data into a structured, searchable catalog with intelligent filters and contextual relevance.
The Results
0 +
Hours time-to-discovery reduced to under 10 seconds
0 %
Match accuracy, based on user feedback from enterprise teams
0 x
Reduction in time for meet preparation
0 +
Portfolio companies’ data structured and centralized
The features we’ve been able to create are really valuable and should enable the team to do even more, which is what we were aiming toward.