Get your AI data layer
in 48 hours.
AI is only as smart as the data it can see. Synopsis connects every system you run and builds the entire layer for you automatically — you’ll be live before anyone else can even get you a quote.
Good morning, Morgan.
Q3 Revenue Review
Renewal due in 71 days. Usage down 12% QoQ and two support escalations open — flagged at risk by the renewal model.
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Under the hood
You saw what it does. Here’s the engine that makes it automatic.
Connecting systems, untangling data, and reverse-engineering your real numbers is normally a year-long data project. Synopsis does all of it — and the customer does none of the work.
Connect anything.
Automatically.
APIs, databases, and files — Synopsis ingests them all. 500+ sources work out of the box, and when something's custom, AI reads the API's own docs and builds the connector for you. No integration engineer required.
It's all automatic — you do none of it.
Your data, organized the moment it lands.
Every change in every system streams in as an event — and Synopsis automatically organizes it by entity at massive throughput. No pipelines to build, no schemas to babysit. The chaos of raw data becomes a clean, structured picture of your business, on its own.
Built automatically as your data flows in.
A data engineering team’s work — done for you.
No new hires, no data expertise on your side. Synopsis builds the model and keeps it current — automatically, forever.
It profiles, cleans, and reshapes your raw history into a modeled data lake — and keeps it current as your data changes. No SQL, no migrations, nothing to maintain.
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All automatic. Synopsis writes and applies the modeling, the rebuilds, and the versioning. You do none of it.
Entity resolution
One customer. Every system. Automatically linked.
“Michael” in your CRM and “Mike” in your ERP are the same person — Synopsis figures that out, even when there’s no shared ID. Confident matches link automatically; the in-between cases that used to need a human are reviewed by AI. So you can finally ask questions that span every system.
- m.chen@helixmfg.com
- Phone
- (415) 555‑0142
- Company
- Helix Manufacturing
- m.chen@helixmfg.com
- Phone
- +1 415‑555‑0142
- Company
- Helix Mfg.
Not just an answer — the right answer.
Most tools can produce a number. Synopsis reverse-engineers how your team actually calculates it — from your own budgets, board decks, and operating reports — until it matches your authoritative figures. When a definition is genuinely ambiguous, it asks. Then every future answer is the correct one.
Monthly Operating Report
Topline performance held through the quarter. Expansion within the installed base offset modest logo churn, and net revenue retention finished at 112%, ahead of plan. Gross margin was stable at a blended 74% as cloud costs normalized. We closed the period with an active customer base of 1,840, though the trial cohort remains a definitional question for the board.
Methodology and segment detail follow in the appendix. Figures are reconciled to the board reporting package and the FY26 operating budget.
arr · expansion · churn SQL probe
iterating… verified
Reverse-engineered automatically — you do none of it.
Teams already running on Synopsis.
Real companies, real systems, real answers.
Case study
Becoming AI-Powered: A Bet on the System.
How Leap connected every system it runs and let Synopsis build the data foundation underneath it — automatically.
Read the case study
Case study
Building the One Knox Way.
How One Knox brought its systems together into a single, queryable foundation — the work done for them, not by them.
Read the case studyThe AI space is full of snake oil right now. Synopsis is the exception — they told us exactly what it would do, and it did exactly that.
See it on your own data.
Most demos take about 30 minutes. Bring a question you've been waiting months to answer.