Setup takes at least 3 weeks.
SageX cuts it to a single afternoon.
20 min • Setup
The foundation data layer for enterprises.
Decades of fund history. All AI-ready in hours.
Not a pilot. 5 live, revenue-generating deployments
Advised by leaders from
The SageX advantage
Easy to setup.
Start seeing results from Day 1.
Most pilots take months to show value.
Live by end of day.
3 hrs • Ready to use
Compliance won't let data leave your cloud.
It runs where your data already sits.
Deployed in your cloud
How it works
From your data to your decisions.
Ingests
Transforms
Deploys
Outcomes
Make informed decisions. Now.
Faster mandate cycles
- Answer an LP’s question the day it lands, not three weeks later
- Spot the conflict with last quarter’s commentary before they do
Risk you can manage, not just report
- Name the exact control gap, not “risk is elevated”
- Catch the exposure before the audit does, not during it
From inbox to execution, same day
- No manual entry, no delays
- Work starts the day the order lands
Launch lending products without rebuilding the stack
- No rebuild, just plug in
- Same stack for every new product
The problem
Every enterprise is sitting on private data it can't use.
The work already exists. It just isn’t structured, connected, or reusable, so it gets rebuilt from scratch every single time.
LP responses & mandate creation
Answer already exists. It’s just buried.
Every cycle, the same records and commentary get hand-assembled from scratch. Knowledge isn’t reused - it’s rediscovered, one DDQ at a time.
3-5 weeks per cycleLost opportunities
Driven by Ops & Investment
Portfolio & supply chain risk
Risk controlled, not managed.
Policies, controls, reports and regulations live in varied formats and disconnected systems. Every touchpoint is manual - checked, but never truly seen.
Hits top and bottom lineNon-compliance
Driven by Risk & Compliance
Email to ERP systems
Assembly work delays everything downstream.
The data doesn’t arrive structured - it arrives as email, tens of thousands of entities deep, scattered across systems. Nothing downstream moves until someone turns it into something usable.
Compounded errorsDelayed decisions
Driven by Finance & Ops
Lending operating system
Every new product rebuilds the stack.
KYC providers, credit bureaus, payment rails, compliance requirements - stitched together by hand, every time a financial institution tries to launch or scale.
Scale breaks the stackMonths to launch
Driven by Ops (Tech)
When firms try to fix this themselves, here is what it costs.
Cost of building this in-house
$430K - $850K
per enterprise · per year · sustained run-rate
The build-vs-buy case in full
But with SageX
3 hours to production-grade.
Day one. Inside your cloud. Not a pilot with a path that never arrives.
From a quarterly grind to an afternoon.
Your raw, private enterprise data loads once. Every business outcome then runs from that same foundation - no second build, no second integration. That is what is running today across five live, revenue-generating deployments.
And here's where SageX lives in your stack.One Layer. Beneath your entire stack
Your apps, warehouse, and AI all read from one foundation.
Loaded once. New workflow? Same plumbing, no rebuild.
Your existing stack
Layer
Apps & Workflows
Pipelines & operations
Layer
Warehouse
Storage & query
Layer
AI Systems
Models & agents
SageX
Foundation Data Layer
Ingest
Structure
Govern
Serve
One foundation. Three layers read from it.
Team · Built from inside the problem
Practitioners who lived inside the problem. Not technologists who found one.
They met it from every seat: building the data products these institutions ran on, running a 400-analyst team against it, keeping a trading terminal alive where a wrong number costs money in seconds. Same wall every time - the answer already existed, and no one could reach it.
Thomson Reuters
Refinitiv
LSEG
CGI
24/7.ai
And here's why they built it, in their own words.
What compounds when you use it
The longer you use it, the better it gets.
Keep going
Capital markets
The worked example. One fund-manager review, from weeks to an afternoon.
Why SageX
The whole argument, told as the conversation you’d have with the founders.
Who built it
The founders by name, and the advisors behind them.
Writing
Ten pieces on governance, accuracy, and what production AI actually costs.