Lead-gen scanner
Find and score potential customers from public sources; ranked list for sales.
Layer 3
Expert AI solutions for funnels
A project that optimizes one concrete funnel. More expert data and modeling work than “just agents”.
Who it’s for
Sales and marketing leaders, companies with large sales networks, finance and investment, e-commerce; simpler versions for smaller firms.
Principle
A data layer is never the goal. We start with where the funnel loses money — and build data only under that question.
Solution types
Propensity engine
Who among existing contacts is closest to buying now — ranked with a reason.
Event calendar as a sales signal
Due dates, contract expiries, and similar events → who to contact this week.
One data platform, many consumers
One data layer for sales, risk, and acquisitions — instead of three separate projects.
Dealflow / pipeline engine
Market signals, scoring against strategy, shortlist, CRM and outreach after human approval.
AI web visibility (GEO/AEO)
How AI search describes your company, before/after on concrete queries, content and structured data. No ranking promises.
How it goes
- Intro call
- Funnel and data diagnosis
- Pilot one solution on one funnel
- Operate and review regularly
FAQ
FAQ
How does AI help sales pick who to call?
Scoring and signals from public and your data. Sales gets a ranked list with reasons — not the alphabet.
Do you promise we’ll show up in ChatGPT?
No. We measure before/after on concrete queries and build a solid site (structure, content, tech).
Is this mainly about a DWH?
No. A warehouse is a tool under a funnel question. Without “where are we losing money?” we don’t build data.
Book an intro call
Intro call, under 30 minutes. Nothing else is free — everything after is paid work.
Book an intro call