New: Request-to-Quote agent – ⌀ 40% less time per quote. Here's how

How a Hjalpari helper works

Software trained on your business, running on hardware in your building, doing the document-heavy work your team shouldn't have to.

On-prem by design

Runs in your building, never in the cloud.

Multimodal by default

Reads PDFs, spreadsheets etc. in one flow.

Knows your business

Tuned on your documents and connected to your tools.

In your team's hands

Every action logged, reasoned, and reversible.

One Edge, many helpers

Start with one workflow, the next helper ships in half the time on the same Edge.

The EDGE

The full AI stack, packaged into one appliance

Hardware, runtime, orchestration, and audit – installed in your office and connected only to your network.

Fits your rack

A 1U server that slots into your existing infrastructure. No new cooling, no separate room.

Network-isolated

Connected to your LAN only. Outbound traffic blocked by default, with an optional encrypted tunnel for our remote monitoring.

Hardened by default

Full-disk encryption, secure boot, signed model artifacts, tamper-evident audit logs.

Lifecycle managed

We install it, monitor it 24/7, refresh models quarterly, and swap the hardware every 4 years.

How it knows you

A helper that knows your business on day one – and knows it better by day ninety

Tuned on your documents at setup, connected to the systems your team already uses, and sharpened every month by the corrections your team feeds back.

Connected to your systems

We integrate with SAP, DATEV, Microsoft 365, SharePoint, and Salesforce – the tools your team already uses every day.

Tuned on your documents

At setup, the helper is fine-tuned on your real documents and the exception cases your team has built up over years.

Sharpened every month

The tuning layer is refreshed monthly with the corrections your team feeds back during reviews. The helper always gets better.

Confidence that grows

By month three, your team trusts the helper with cases it would have escalated on day one. By month six, it's handling them itself.

People + AI

A helper that takes the workload while your team keeps the call

Logged, reasoned, reversible – with a confidence threshold your team sets and adjusts as trust grows.

Actions carry their reasoning

The helper logs what it read, what it considered, and how confident it was. Your team can open any draft and see exactly why the helper landed where it did.

Every action is reversible

Wrong booking, off-tone reply, ticket in the wrong queue – your team undoes it from the same screen they review it on. The audit trail keeps both the original and the correction.

You set the autonomy line

Anything above the confidence threshold your team sets moves through automatically. Anything below lands on a human's desk with a full briefing.

The line moves with you

As trust grows, you give the helper more rope; if it slips, you pull it back. The threshold is a dial your team adjusts as the relationship matures.

Let's talk about your first helper

Tell us a little about your department and the workflow you’d most like to take off your team’s plate. We’ll come back within two business days with a proposed 60-minute discovery call.

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Agent Activity

This week

Wooden desk with a black wireless keyboard, black mouse, and two closed dark green notebooks under warm lighting.

Inference

100%

Of every agent runs on hardware in your office. Not in the cloud, not in a data center we control. Just yours.