Most search tools return a list. Agentic Search returns a decision. Define your criteria — Latency's agent stack handles everything else.
Three days of analyst research compresses into a single query. The agent layer runs semantic classification, financial screening, and real-time web validation in parallel. Your IC memo gets written with live data, not last quarter's exports.
Keyword search returns false positives. Agentic Search does not. The NLP layer parses intent, the financial layer screens across 12M companies with verified filings, and the LLM Validator runs binary qualification across thousands of candidates before anything reaches your screen.
1,200+ micro-markets indexed. 52M companies normalised across every major European registry. Sectors that PitchBook does not reach. The proprietary taxonomy surfaces companies that are genuinely invisible to funds still running legacy queries.
Natural language or structured filters: activity, revenue range, EBITDA margin, growth trajectory, market name, ownership status. State your thesis. The agents handle translation.
A search agent classifies company activity against your criteria, screens verified filings, estimated forecasts, and propagated metrics. A validation agent checks activity against live web signals, in real time. Each layer runs concurrently, not sequentially.
Results are ranked by relevance and financial fit. Companies that pass semantic screening but fail financial qualification are excluded before output. What you receive is actionable immediately.
We've measured it: query precision above 85% with multi-dimensional filters, against roughly 40% on legacy keyword-based tools. LLM validation across 4,000–5,000 candidates in under ten seconds. Funds using Latency report 3x improvement in pipeline quality — with add-on candidates that competitors have not mapped.
Thesis replication via advanced query logic means Agentic Search does not just find companies. It finds the specific profile of company you have already decided you want. Feed it a prior deal thesis and it finds the next one.
The agent stack handles European complexity by design. Multi-jurisdiction. Multi-language. Multi-registry. The normalisation layer means a German Mittelstand and a Spanish mid-market operator are directly comparable on the same financial dimensions. No manual reconciliation.
And because the platform connects and aggregates legal entities to company brands, you are not screening ghost structures. You are screening real operating businesses.
"We stopped chasing the same 50 companies everyone else was looking at. Latency surfaces the 70% of the European market that does not appear anywhere else."
Test Agentic Search in your org
Book a live demo and watch the agent stack run your actual thesis — real companies, real data, in real time.