The only data warehouse
that’s live in 48 hours
We pull off the impossible by replacing months of custom engineering with a platform built to handle everything.
Trusted by companies who almost gave up hope on a data warehouse
“If I put three hours a week into Synopsis, I get back at least ten. And the return compounds every week because it remembers.”Head of FP&A · Fire & Life Safety Company
“Synopsis feels like our in-house data architect who can be queried in plain language and respond at the speed of AI.”USL Soccer Club
“We got Synopsis to get ahead of churn. What I didn’t expect was how much it would change the way we run the whole business.”CEO · SaaS Company
Data warehouse projects are brutal
- High prices don’t include additional tech and talent
- Assembling data takes months to plan and scope
- Getting data AI-ready is a separate challenge
- In-house experts are still needed to access answers
No additional vendors needed
Synopsis goes beyond data storage, offering ingestion & modeling (ETL/ELT), a semantic layer, BI/analytics and built-in alerts to keep you proactive.
“I use Synopsis daily. It has replaced Salesforce dashboards, Power BI, and manual Excel reporting.”
One platform. Everything included.
We’ll handle implementation
Our team connects your systems, rebuilds your most important reports from the raw data, and packages those insights into your Synopsis instance. It’s all we do — and we’ve refined it down to a science. No new hires, no consultants.
“The AI space is full of snake oil right now. Synopsis is the exception. They told us what it would do, and it did exactly that.”
You’re AI-ready from day one
Synopsis cleans and organizes your data to ensure your AI never hallucinates. Still working with BI? We bring it along, too.
“Adopting Synopsis is no different than adopting computers, spreadsheets, or the internet. These technologies change how businesses operate. The people who learn to use them become more valuable. The ones who refuse to adapt get left behind.”
from synopsis import query, forecast df = query("SELECT month, revenue FROM monthly_revenue") model = forecast(df, periods=3)
Get answers in seconds
Ask questions in plain English and get answers accurate to the penny. Generate dashboards, models, and workflows in seconds.
“What once took hours and required jumping between multiple systems is now in one place, easy to access and easy to understand. Synopsis gives our teams their time back.”
What you get
Scroll through the real product — ask questions in plain English, build dashboards from one prompt, publish live data apps, automate workflows, and run data science.
Take the tour The engineHow it works
See the engine underneath: automatic ingestion, storage organized by entity, hands-off modeling, entity resolution, and answers verified against your real numbers.
Look under the hoodYou’re two days away
from a data warehouse
What’s the difference between a data warehouse and a data lake?
A data lake stores raw, unprocessed data; a data warehouse stores clean, structured data your team can actually query. Synopsis gives you both: raw history lands in a managed lake, and a modeled, query-ready warehouse is built on top of it — automatically.
What is a semantic or context layer?
It’s the layer that defines what your numbers mean — how your team calculates revenue, churn, or an “active customer.” Synopsis reverse-engineers those definitions from your own budgets, board decks, and reports, so every answer matches your authoritative figures instead of a generic formula.
How does Synopsis help with data cleaning and governance?
Synopsis profiles, cleans, and normalizes your data as it lands, links the same customer across systems (even with no shared ID), and keeps every number traceable back to its source. Sensitive fields can be masked, and access is controlled per user.
Do I still need Tableau, PowerBI, or Looker?
No — dashboards, reports, and alerts are built in. If your team wants to keep an existing BI tool, that works too: the warehouse underneath is open and queryable, so your current tools plug straight in.
Do you support MCPs?
Yes. Synopsis exposes your warehouse over MCP, so AI tools like Claude can query your clean, governed data directly — with your semantic layer ensuring the answers are calculated the way your team calculates them.
How does Synopsis support us ongoing?
The platform keeps itself current — new data streams in, models rebuild, and definitions stay verified as your business changes. When you add a new system or a new question, our team handles it as part of your subscription. No consultants, no change orders.