For Iron Foundries

Carry the heat number from furnace to pour to profit.

You melt and pour gray and ductile iron, tracking heats, patterns, and customer specs across melt-chemistry logs, pattern binders, quality trackers, and a generic ERP that knows none of it — so scrap rate and true customer profitability stay out of reach.

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.

B&L OdysseyERPGuardian ERPERPSPECTROMAXxMeltInfinityQSQualityTooling RegisterToolingQuickBooksAccountingScrap-rate root-cause analy…Pattern and tooling ROIPPAP and spec-compliance as…Whatever 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 engineer to make our systems talk?

No. Your melt log, pattern registry, quality tracker, scheduling, and ERP were built by different vendors that never share data. Synopsis joins them on heat number, pattern ID, and part number without you hiring anyone.

How long until we get value?

Synopsis unifies your systems in days, not a multi-quarter project, and the first payoff is a scrap-by-pattern or customer-profitability question that used to be too labor-intensive to run routinely.

Can we ask these questions often?

Yes. The AI writes SQL against the warehouse rather than reading raw exports, so routine operational questions are cheap enough to ask constantly rather than rarely.

How is our compliance documentation handled?

OSHA silica and EPA NESHAP records sit in the warehouse alongside production, so audit and inspection response comes from one queryable source instead of reconstructing it each time.

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 iron foundries data.

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