The problem
In the demo
Sample data
“Is this system healthy?”
All 12 clusters are healthy. Capacity is at 61%.
Clean sample tables and the product's own docs.
Answers correctly
In the real world
Customer's data
“Which plant's storage is near capacity?”
I can't map clusters to plants in this environment.
Needs their plant tables, joined with your product's telemetry model.
Can't answer
57%
of enterprises trace wrong agent answers to missing enterprise context.
VB Pulse · 101 enterprises · June 2026
Why it's hard
One customer is customer_no in billing and client_id in CRM. The meaning is spread across schemas, lakes and mainframes.
It lives in docs and people
Tolerances sit in a policy PDF. Exceptions live in chat threads and with the few people who approve them.
It keeps changing
New fields, approvers and policies land every month. Yesterday's mapping quietly drifts.
You're the expert in none of them
Every enterprise you serve has its own data, definitions, approvers and history. No team can hand-tune thousands of them.
So today, vendors send forward-deployed engineers.
And start over at the next customer.
~4
engineers at every enterprise
~7 mo
before each one is live
~$470K
per enterprise, from margin
×N
repeated for every new customer
How it works
1Capture your product
Your product's databases, docs, sheets and tools connect to Genloop one time. Its data model, docs and rules become one product context.
2Connect each customer
Onboard a customer from the admin panel. Their warehouse, files, Slack and email connect where they live. Data stays in place.
3The context is built
Genloop joins both sides into one living graph per customer, across tables, documents and people, served over MCP and API.
4Agents get cited answers
Your agent, or any agent the customer runs, gets answers that cite the exact tables and pages they came from.
5It learns
Experts approve corrections, changes get re-checked, and the graph improves for every agent at that customer.
In production
Measured at a Fortune 500 data infrastructure company on its real telemetry, then rolled out to its enterprise customers.
Right answers on real work questions
of questions answered right with Genloop. Up from 30% with the same model alone.
Frontier model alone
30%
Same model + Genloop
94%
0%
50%
100%
Fortune 500 data infrastructure
Same frontier model
Same data and docs
Time per answer
Before
756s
Genloop
184s
Cost per question
Before
1.0×
Genloop
0.36×
Time to go live, per customer
Before
~6 months
Genloop
~3 days
Built on Genloop
One software company brings Genloop to every customer it serves. Each rollout adds the next.
Data infrastructure
A Fortune 500 storage vendor
Ships an agent that answers health and risk questions over each customer's telemetry and docs.
Grows with each enterprise
Fintech
A payments platform
Gives AI reporting to each of the 300+ credit unions it serves, each on a different core system.
Grows with each credit union
Pharma software
A field reimbursement CRM
Runs agents at each pharma manufacturer, on that manufacturer's own data and rules.
Grows with each manufacturer
Gov tech
A case management platform
Brings AI reporting to state child-care programs, starting with a state pilot.
Grows with each state
The platform
Context Intelligence
Data, rules, decisions and people in one context every agent shares.
Explore →
Self-Learning Loop
Experts approve corrections, and every agent picks them up.
Explore →
App Studio
Agents, reports, automations and presentations on the same context.
Explore →
Interfaces
Workspace, Slack and Teams, MCP, API or embedded in your product.
Explore →
Private Deployment
Your cloud, on-prem or air-gapped. Each customer isolated.
Explore →
Connections
Warehouses, business apps and documents, read in place.
Explore →
FAQs
How is Genloop different from connecting ChatGPT or Claude to our data?
We sell software. How do we use Genloop in our product?
How long does onboarding take?
What data sources can Genloop connect to?
Is each customer’s data kept separate?
How do you ensure answer reliability?
How do you handle security and access controls?
Can we deploy in our own cloud?