For Dairy Producers

Which cows are truly profitable? Finally, one answer per cow.

Herd management, robotic and parlor milking, component and genomic test files, and the co-op milk check all describe the same cow, but each uses a different cow ID and a different time period.

SOC 2 Type II Your data stays in your warehouse Sits on the systems you run

The join, made visible

Every system you run — and the answers you can't get today.

DairyComp 305HerdDelProParlorDHIA Test-DayTestingCLARIFIDEGenomicsCo-op Milk CheckSettlementTMR TrackerRationTrue per-cow profitabilityEarly health detectionComponent-optimized rationsWhatever you ask next

One shared key across every system. No exports, no VLOOKUP — the tools you already run, finally answering the questions that matter.

Good morning, Morgan.

What do you want to know?
Q3 Revenue
$14.2M
+11% vs Q2
Revenue by Month, Q2–Q3
AprMayJunJulAugSep
Q3 Revenue by Region
West
Southeast
Midwest
EMEA
Top Accounts
Account Region Q3 Revenue QoQ
Helix Manufacturing West $2.10M +18%
Northwind Retail Southeast $1.64M +12%
Cedar & Co. Midwest $0.98M +9%
Atlas Logistics EMEA $0.87M +0%
Published
Helix Manufacturing Manufacturing · West At risk $2.10M Aug 14 KP
Summary

Renewal due in 71 days. Usage down 12% QoQ and two support escalations open — flagged at risk by the renewal model.

Health
62/100
Atlas Logistics Logistics · EMEA At risk $0.87M Sep 09 DM
Northwind Retail Retail · Southeast In progress $1.64M Aug 22 RS
Cedar & Co. SaaS · Midwest In progress $0.98M Sep 03 KP
Vertex Health Healthcare · West Renewed $1.32M Jul 30 DM
Sable Foods CPG · Southeast Renewed $0.74M Jul 18 RS
Trigger
New Invoice When a new invoice arrives
Extract Line Items AI reads the invoice
Match to Vendor Query the vendor table
Duplicate? Branch on vendor match
true false
Flag for Review Hold the duplicate
Alert Finance Post to #finance
Approve & Post Send to the ledger
End Posted & done
Ready to run
DATA SCIENCE & ML

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Questions

Answers before you ask.

Do we need a data team?

No. Synopsis joins the systems centrally and your herd manager or owner asks questions in plain English, without an analyst hire.

Every vendor uses a different cow ID. How does Synopsis reconcile them?

It maps the differing IDs to one cow key at ingestion, so herd, milking, testing, and milk-check data finally line up for the same animal.

A large herd milked three times a day is millions of events. Is that too much?

No. That volume is exactly what the warehouse is built for; the AI writes SQL against it rather than reading raw rows.

We just installed a new robot or parlor. Does that help or hurt?

It helps. Synopsis folds the new vendor cloud into the same warehouse, so a new install adds data instead of another silo.

Do we need a data team or anyone who knows SQL?

No. We configure your warehouse with you and connect the systems you already run; your team just asks questions in plain English. Nobody has to write SQL or babysit pipelines unless they want to.

Does Synopsis replace the software we already use?

No. Your systems of record — ERP, CRM, accounting, and the rest — stay exactly where they are. Synopsis sits on top and joins them into one place you can query, so you report across everything instead of exporting from each tool.

Where does our data live, and is it secure?

Your data stays in your own warehouse — we don't keep a copy. Access is governed per user and every query is audit-logged. Synopsis is SOC 2 Type II, and you can review our live security posture in the Trust Center.

How is this different from a BI tool or a stack of dashboards?

BI tools chart data that something else already had to clean and join. Synopsis does that upstream work — connecting your systems, resolving entities, and enforcing your metric definitions — then answers in plain English, builds the dashboards, and traces every number back to its source.

Get started

See it on your own data.

Most demos take about 30 minutes. Bring a question you've been waiting months to answer — we'll reply within 24 hours.

Book a 30-minute demo

See Synopsis run against dairy farms data.

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