Your external data, under management.
The machinery behind Segments and Intelligence: agents that audit what you have, fix what is wrong, and go get what is missing. Always on, agent-ready.
From the team that built Clearbit, ZoomInfo, and Apollo, who know exactly why that model is ending.
A row in a dashboard. Last touched 14 months ago. No source, no confidence, nothing an agent can call.
"value": verified, "source": traced, "confidence": 0.94, "callable": true
Data is no longer an asset you buy. It is a capability you keep.
Legacy vendors sold snapshots that decayed the moment they shipped. Zeer sells a standing capability: an agent in your stack that heals, discovers, and sources continuously.
- A snapshot that decays the moment it ships
- 30 to 40 percent of B2B data rots every year
- The unit of sale was a single record
- Bought once, babysat by a team, stale by renewal
- An agent that lives inside your stack
- Continuously assessing quality and healing records
- The unit of sale is an outcome that compounds
- Discovering business-unique attributes, routing each gap to the right provider
Fetching data is becoming free. Being right is not.
A frontier model one-shots company basics; knowing whether the answer is right takes independent evidence. Registries, site footprints, provenance chains: that layer is what we sell.
Not a cleanup project. A standing operation.
Every external-data problem is two questions: is what I have right, and what am I missing? A project answers once and rots; the loop answers continuously.
We start by telling you the truth.
What you have, what it costs, what is blocking your agents, and what is pure waste. A diagnosis, not a pitch.
We start by telling you the truth.
What you have, what it costs, what is blocking your agents, and what is pure waste. A diagnosis, not a pitch.
One picture of everything you already own.
Internal records and the third-party data you already pay for, entity-resolved into a single view before anything new is bought.
Wrong records healed, with evidence.
Corrections gated by confidence scores and your approval. Read-and-recommend by default. We never silently mutate your system of truth.
Fields upgraded to better versions of themselves.
Fresher sources, higher fidelity, lower cost. Your data does not just get maintained. It gets better over time.
Standing QA agents validate everything.
Every record checked against independent evidence, wherever it came from. Decay caught the week it happens, not at renewal.
New data found, built, or brokered.
As your needs change, the layer goes and gets what you are missing from the Market Context Graph and beyond: new signals, new attributes, new sources.
One gate for every source, including your LLM.
Vendor files, the public web, your CRM, your own model's answers: everything is checked against independent evidence before your agents act on it. Models cannot grade their own homework.
“VP Marketing, still at the account”
Left 4 months ago. Corrected value supplied.
“Runs 3 fulfillment centers”
Five centers. Two opened this year, per registry and site footprint.
“Primary domain: crewai.com”
Three independent evidence sources agree.
verify(record) -> { verdict, confidence, evidence, corrected_value }A tool call, not a dashboard
One function inside your agent's flow, called the moment a record is about to be used. No seats, no change management.
Evidence, never a bare checkmark
Every verdict carries its confidence score and the independent evidence behind it: registries, site footprints, provenance chains. It is the confidence field on every row Zeer delivers.
The same gate grades the network
The gate that checks your records is the gate that continuously scores every provider we route to. One standard of truth, everywhere.
No single provider has everything. We know who has what.
Depth comes from the Market Context Graph first; a graded network of providers, registries, and public sources fills what remains. Every source is scored by the same gate that checks your data.
Grades shift as sources are re-scored. Routing follows the grade.
We source it ourselves.
Custom miners for data that does not exist commercially. Not job postings: the postings that mean someone is about to buy what you sell.
Or we route to whoever truly has it.
Hundreds of specialized providers, each graded continuously by the gate. We match the field to the source that delivers, then re-shop on cost and quality.
The data you need most is the data nobody sells. We build it or we broker it: the difference between parity and advantage.
Three forces are converging at exactly the same moment.
The next decade of value moves from who has the most data to whose data is current, business-unique, and agent-ready. Three shifts make this the moment that matters.
Agents need trustworthy inputs.
An AI acting on stale or generic data scales mistakes, not productivity. Most enterprise data fails that bar today.
The supply chain fragmented.
The data-broker market splintered into hundreds of specialized providers. Which source for which field is now a routing problem, and routing is the problem we own.
Buyers learned the hard way.
One-size-fits-all enrichment underperforms, and everyone has felt it. The market is ready to pay for proprietary advantage instead of commodity parity.
The Agent-Readiness Audit.
Give us read-only access; two weeks later you get the truth about your data, proven with real work. A paid deliverable that stands alone, and the first turn of the loop.
Score your readiness
We grade how agent-ready your data actually is, and show exactly what is blocking your agents.
Tear down your sources
A clear-eyed audit of your current providers and spend: winners, underperformers, and waste.
Surface one attribute you cannot buy
We find a single proprietary attribute that would change how you operate if you had it reliably.
Measure your LLM error rate
We benchmark your current LLM and vendor enrichment against independent evidence, and show you the error rate you are living with today.
Make one dataset agent-ready
We transform one of your datasets end to end, so you see the before and after for yourself.
Read-only. We never mutate your system of truth.
Two weeks to a real, standalone deliverable.
A diagnosis you keep, and the on-ramp to the platform.
Put your external data under management.
The people who built the company-data industry now keep your data right and go get what you are missing. Start with the audit.