Asymmetrix Launches Deal Radar, Redesigned Company Profiles, and Enhanced Filtering
Q2 2026 product updates bring real-time deal intelligence, AI defensibility benchmarking, and improved search to institutional investors
London — June 2026 — Asymmetrix Intelligence has shipped three major product updates designed to help institutional investors track and act on market opportunities faster.
Deal Radar: Live Transaction Intelligence
Deal Radar brings proprietary intelligence on upcoming transactions and deal signals directly into the Asymmetrix dashboard. Investors can now see early-stage deal activity across the Data & Analytics sector, surfacing acquisition targets and portfolio company moves up to 18 months before they hit the market.
Company Profile Redesign: AI Defensibility Index
The redesigned company profile goes beyond basic operational metrics. It now includes information on companies' core products, user bases, and use cases — plus Asymmetrix' proprietary AI Defensibility Index, a framework measuring each company's vulnerability to AI replication. This addresses a critical question for investors evaluating software businesses in a rapidly changing AI landscape.
Improved Search and Filtering
Every filter applied now appears as an editable chip at the top of the companies list, giving users complete visibility into what's narrowing their results. Filters can be edited in-place or removed instantly. Any filter can also become a column with a single click, enabling the exact view each user needs.
“This quarter we focused on helping investors find the deals that matter and understand the companies behind them. Deal Radar changes how early investors identify opportunities. The AI Defensibility Index addresses something institutional money is asking about every week now. And the search redesign makes our platform feel less like a database and more like a working tool.”
The updates are available now to all Asymmetrix subscribers. Q3 priorities include financial intelligence screening (revenue, EBITDA, ARR, NRR benchmarking), MCP integration for AI workflow embedding, and competitive benchmarking tools.