See what changes when a team runs on Needl.ai
Needl.ai runs inside each customer’s own environment. These are the results their teams reported.
In their own words
What changed, in numbers
Every one of these ran inside the customer's own cloud account, with the customer's keys, permissions and logs.
Frequently asked questions
About these stories and the teams behind them.
Why are the customers not named?
Most of the firms we work with do not allow their names to be published, which is common in financial services. Each story describes the firm and reports the results it shared with us.
Where do these deployments run?
Inside each customer’s own environment: their AWS or Azure account or private cloud, with the customer keeping control of the infrastructure.
How long does a deployment take?
It depends on the scope. The energy trading deployment went live in 15 weeks across four milestones the customer set; others were rolled out in phases, starting with a core group of users.
What results have customers reported?
A credit rating firm cut report preparation from 1.5 days to under an hour. A marketing platform reduced manual report preparation by more than 70%. An investment firm now writes a research note in about 5 days instead of 10.
See it on your own documents
Bring the reports, filings or data room your team works with, and see the first result on them, with a source on every answer.





