NewMainframe track — COBOL to Java, converted live

Automation you can watch working

Agentic AI, legacy modernization and automation we have shipped —
live demos, measured in your industry's numbers. Not slideware.

0Systems shipped across seven industries
0%Less manual effort on modernized workloads
Trusted patterns across seven industries
ManufacturingRetailFinanceLogisticsHealthcareConstructionMainframe

// what we ship

Automation, evolved

Multi-agentHuman approvalFully auditedEdge-fast

Agentic pipelines

Intake, extraction, validation and sync agents that hand work to each other — and show you every step while they do it.

COBOL → JavaIMS → DB2CA → IBMPayments-grade

Legacy, modernized

Forty years of mainframe code converted, tested and running on a laptop — while the original keeps serving production.

NL → SQLDB2 replicaCRM sync28s reports

Ask your data

"Payments to Acme, last six months." A report in twenty-eight seconds — from systems that used to need a specialist and three days.

Real systems. Real industries. Real numbers.

Every case below is something we shipped — pick your industry and see it live.

Manufacturing

Order intake automation for an OEM — quotes now go out in 4 minutes, not 3 days.

−72%manual order entry

Retail & e-commerce

AI product content and a support agent trained on their catalog.

+31%PDP conversion

Financial services

KYC and invoice document automation, straight into the ERP.

40 minonboarding, down from 5 days

Logistics

Dispatch assistant with ETA prediction and exception triage.

−18%empty miles

Healthcare

Patient intake and referral drafting, compliant by design.

−43%admin time

Construction & real estate

Sales automation + a customer portal — every lead followed up in under 5 minutes, clients track their project live.

2.4×pipeline speed

Mainframe modernization

COBOL → Java, IMS → DB2 or PostgreSQL, CA → IBM — and plain-language reports on top of the data. Watch it happen live.

−70%migration effort

// next step

See it live on your data

Thirty minutes, your use case, real outputs — not a slide in sight.

DemoHub — runs on the Cloudflare edge · © 2026

Demo gallery

Every demo is a system we shipped for a real client — with the impact numbers to prove it.

Invoice → structured data

−87% processing time Finance

Built for a finance client — every supplier invoice lands in the ERP untouched by human hands. Try it.

Replaces4.5 min of manual keying per invoice, per person.
Under the hoodOCR + extraction agents on Workers AI, validated against the ERP schema.
Why it mattersFewer keying errors, faster closing, AP team freed for real work.

Agent pipeline — watch the architecture work

Intake agent
OCR engine
Extraction agent
Validation agent
ERP sync

Input

invoice_scan_0341.pdf

248 KB · replace

Fields to extract

vendor total due date line items

Output

✓ done in 2.4s
Run the demo to see live output
vendorNordic Supplies AB
invoice_no2026-0341
total48 250,00 SEK
due_date2026-07-30
Time saved0 min
Accuracy0%
Cost per run$0.00

Mainframe modernization

−70% migration effort Legacy → cloud

COBOL to Java, IMS to DB2 or PostgreSQL, CA to IBM — shown live on real code, not promised on a slide.

Live: legacy workloads streaming into a modern stack
The problemCOBOL developers are retiring, MIPS costs climb, and IMS locks your data in.
What runs hereParse → map → generate → test agents, with humans approving every merge.
Proven onPayment workloads: batch reports, IMS exits, CA-7 to IBM scheduling.

Demo 1 — COBOL → Java, converted in front of you

✓ 412 lines · tests green

PAYRPT01.CBL — z/OS batch

IDENTIFICATION DIVISION.
PROGRAM-ID. PAYRPT01.
DATA DIVISION.
01 WS-PAYMENT.
05 WS-PAYEE PIC X(20).
05 WS-AMOUNT PIC 9(7)V99.
05 WS-DATE PIC X(10).
PROCEDURE DIVISION.
PERFORM READ-PAYMENTS
UNTIL WS-EOF = 'Y'.
DISPLAY 'TOTAL: ' WS-TOTAL.
STOP RUN.

PaymentReportService.java — Spring Boot

@Service
public class PaymentReportService {
 
record Payment(String payee,
BigDecimal amount,
LocalDate payDate) {}
 
public Report totalFor(String payee) {
return payments.stream()
.filter(p -> p.payee().equals(payee))
.collect(toReport());
}
}
Lines converted0
Tests passing0%
Timeline6 wks → 3 days

Demo 2 — ask the mainframe in plain language

"Provide a report of all payments to Acme Corp for the last 6 months"
SELECT pay_date, invoice_no, amount
FROM PAYMENTS
WHERE payee = 'ACME CORP'
AND pay_date >= CURRENT DATE - 6 MONTHS
ORDER BY pay_date DESC;
2026-06-28INV-88412214 500 SEK
2026-05-30INV-87903198 200 SEK
2026-04-29INV-87344240 100 SEK
2026-03-31INV-86811187 400 SEK
2026-02-27INV-86215222 800 SEK
+ 209 more rows1 284 500 SEK total
Jan
Feb
Mar
Apr
May
Jun
Rows scanned0
Time to report0 s
The old way3 days + a COBOL dev

Runs against a DB2 replica — read-only, audited, no production risk. Works for IMS extracts to CRM and CMS targets too.

Live Ticket triage + sentiment
AKJSMR 3 watching

Mirrored output

streaming▍
Tickets triaged0
Flagged urgent0
Avg handle time−63%
demohub.pages.dev/present/kx7-q2f

Presenter drives · viewers mirror in real time over a Durable Object websocket · no login for viewers

This week

Demo runs0+41%
Live demos02 drafts
AI spend$0cap $20
Top demoCV screener88 runs

Runs per day

Mon
Tue
Wed
Thu
Fri
Sat
Sun

Recent runs

Invoice extractorClient: Acme AB2.4s · ok
Support bot (RAG)Internal1.1s · ok
Lead scorerClient: Norrsken3.0s · cached

Create a demo with AI

1 Describe 2 Generate 3 Preview 4 Publish

“A demo where a restaurant owner pastes customer reviews and gets a sentiment dashboard with the top 3 complaints and suggested fixes”

Generated manifest

✓ schema valid 

        
      

      

        
Sandbox preview

        

          
Paste reviews…

          

            
Sentiment0% positive

            
Reviews read0

          

          
Top complaint: slow weekend service. Suggested fix: add one runner Fri–Sat…

        

        

          
          
        

      

    

    
Publish writes the manifest to D1 — the demo is live in the gallery immediately, no deploy.