The graph that knows
your market.
1.75M businesses indexed across 5 signal tiers. Every claim, call, and conversion trains the next score. The compounding moat behind Vemra LeadOS — and it gets sharper every day.
Why vBIG matters
Data is fragmented.
The graph isn’t.
Every Vemra customer is operating in a market where the signals already exist — they’re just scattered across registries, search consoles, CRMs, and call logs. vBIG joins them onto one entity per business and learns from every interaction the network produces.
The problem
Your market intelligence lives in 12 tools.
License lookup in one tab. Google Search Console in another. CRM lead history in a third. Call logs, review scores, sequence opens, conversion outcomes — each in its own silo. Nothing joins. So no one can answer the question that matters: which prospect is most likely to book, right now, in this market.
The shift
One graph. Not 12 tools.
vBIG joins public-record business data (licensing, ratings, BLS, GSC visibility) with first-party Vemra signals (claim state, opens, calls, replies, conversions, recoveries) onto a single entity per business. The same graph powers routing, scoring, recovery, and pricing across every Vemra Revenue App.
The compounding
Every signal makes the next one sharper.
A booked job is a labeled training row. A missed call is a labeled training row. A claim, a reply, a reactivation — every customer interaction becomes ground truth that the graph learns from. Competitors can ship a feature in a sprint. They cannot ship 1.75M indexed businesses with millions of joined signals.
The result
You own the intelligence that converts.
When you activate Vemra LeadOS, you do not just turn on automation. You plug into a graph that already knows your market — and that gets sharper every time anyone in the network captures, recovers, or converts a lead. The longer Vemra runs, the wider the gap.
The 5 signal tiers
Public data on one side.
Your customer data on the other.
Two surfaces. One join key per business. That join is what nobody else has — and what no competitor can buy.
Public records
CSLB, NMLS, state DRE/DOS, contractor + therapist + LO + lawyer registries. Verified license status, bond, insurance, lapse dates, disciplinary history.
Public visibility
Search Console rankings, Google Business, Yelp, BBB, specialty directory presence. The reputation + visibility surface a customer sees before they ever book.
Market demand context
BLS occupancy joined to geography, search trend signals, vertical demand per ZIP. The demand layer that tells routing where supply lags demand.
Engagement signals
Captured inside Vemra LeadOS — opens, clicks, calls, replies, SMS responses, claim state. Every Loop touch is a labeled training row.
Conversion + recovery outcomes
The end-of-funnel ground truth: booked, paid, no-showed, recovered. Which sequences saved which leads in which verticals — the label competitors cannot copy.
One entity per business. Every tier lands on the same row. The join is the moat — and it’s already shipped.
The moat math
Why this compounds.
Most software gets cheaper to clone every year. A graph gets harder. The data layer + the customer interaction layer + the time it took to label them — that’s the gap.
1.75M
Businesses indexed
Active rows in vBIG today, joined across licensing, ratings, BLS, and search visibility.
16M
Addressable ceiling
Total US-licensed business universe vBIG’s scraper fleet is built to cover.
5
Signal tiers joined
From public records to first-party conversion outcomes — every tier on the same row.
Every click, claim, call, and conversion the network produces is a labeled training row that nobody else gets to see. A competitor can ship the same features. They cannot ship the labels.
Revenue Apps
Every Vemra module
gets smarter from the same graph.
vBIG is not a product you buy. It’s the substrate behind every Vemra module — the reason routing, scoring, and recovery work better the longer you run.
Enterprise + investor
Sales-led. Not self-serve.
At the enterprise tier, vBIG is the conversation — not the feature list. Below is what each buyer actually asks for. We’ll walk you through both in a 30-minute call.
Enterprise buyer’s lens
Compliance + audit + deployability.
- •Per-account data boundaries — your customer signals stay scoped to your account by default. Cross-account training is opt-in only.
- •Auditable signal lineage — source, timestamp, and transformation tracked on the signals that matter for compliance review.
- •Salesforce-adjacent posture — Vemra sits next to your CRM, not in place of it. The integration story is the conversation we want to have.
- •Deployment model varies by buyer — VPC, dedicated tenant, or shared cloud. Walk us through your posture and we’ll scope to it.
Investor lens
Defensibility + cross-stack reach.
- •The moat is the labels, not the features. 1.75M indexed today, 16M ceiling, every customer interaction adds a row.
- •vBIG is the shared substrate across a 5-product intelligence stack — Vemra, RooS Engine, Tag Wave, ShapeLab, RevenueBrief — each with its own customers and pricing, joined by the same graph.
- •Compounding flywheel: every new module ships with more starting signal than the last, because the graph is older every quarter.
- •Cross-product attribution: the same customer entity surfaces wherever they show intent. Pricing, packaging, and retention all key off it.
Plug into the graph.
Three doors in. Pick the one that matches where you are today.
For SMBs
See what vBIG knows about you.
Search your business + city. If we’ve indexed you, the profile is sitting there with the inquiries the unclaimed window collected.
Find my businessFor operators
Activate the modules.
Turn on Vemra LeadOS and the Revenue Apps that ride on top. Every module reads from — and writes back to — the same graph.
Activate LeadOSFor enterprise
Talk through the graph.
Compliance posture, audit trail, deploy model, cross-stack roadmap. 30 minutes with the founders, walked through end-to-end.