Regulated work, done inside the boundary.
Banks, lenders and insurers cannot send data to a US API and cannot afford a wrong answer. We built for that first: document intake, collections and renewal calls, call monitoring against a checklist, all deployable air-gapped.
Zingaro AI serves banks, lenders and insurers with KYC and onboarding document processing, claims intake, collections and renewal voice agents, and full-coverage call monitoring, deployed on-premise or in the client’s private cloud.
The grind in banking and insurance, handled.
KYC and onboarding documents
IDs, proofs and forms read, checked against your rules and filed, with mismatches flagged.
Claims intake and triage
Every claim classified, fields extracted, routed to the right adjuster with the exceptions marked.
Collections and renewal calls
Reminders, promises to pay and renewals handled by voice agents, with sensitive cases to a person.
Call monitoring
Every call scored against the compliance checklist, not a sample, with the moment of each miss.
Audit-ready records
What was said, what was done and who approved it, in a form you can hand to the regulator.
Built for the rules you work under.
- Air-gapped deployment available
- No data leaves your network without your say
- Models trained inside your boundary
On your servers
Air-gapped where required.
We install on machines you own, inside your network. Where the rules demand it, the system runs with no outbound connection and updates are carried in by hand. Your team keeps the keys.
Data stays inside your network
Your private cloud
We deploy into your account.
We deploy into your own cloud account, in your region, under your access controls. The data stays in your account. We get the access you grant, and nothing more.
Data stays inside your account
Ours
Managed, fastest to start.
We run it on infrastructure we operate. The right choice when the data is allowed to leave and you want the pilot running this month.
Managed by us, on our terms
In banking, insurance and healthcare, the rules decide where the data sits. We built for that first.
How each option worksFrom one painful job to a system in production.
Models and agents handle the volume. People handle the edges. You always know which did what.
- 01
Discover.
One or two weeks with your team. The jobs listed, sized and ranked. A number on the first one.
- 02
Build the pilot.
Fixed scope, fixed fee, 4 to 6 weeks. Real output on your real data, measured against the number.
- 03
Ship it.
Into production, inside your boundary if the rules require, with evals gating every release.
- 04
Run it, or hand it over.
We operate it with people on the queue and a weekly report, or your team takes it with the runbooks.
What we bring to it.
- Documents
Document AI and intelligent processing
Invoices, claims, contracts and forms read, checked and filed into your systems, with uncertain fields flagged.
Explore - Voice
Voice agent development
Inbound and outbound voice agents on our own platform and telephony, in your customers’ languages.
Explore - Deployment
Enterprise and sovereign AI deployment
On-premise, air-gapped, private cloud and in-country deployment with MLOps, monitoring and retraining.
Explore - Operations
Managed AI operations
We run the systems, hold the review queue and send the weekly report. You see the work, not the tool.
Explore
Bring us the banking and insurance job you keep postponing.
Twenty minutes is enough to say whether we can take it.
A pilot starts within 5 working days of agreed scope · Nothing upfront · No seat licences