MASTER SERVICE
AGREEMENT
between Borealis Ltd. and Acme Advisory · effective 1 April 2026
1.
TERM. This Agreement shall commence on the Effective Date and continue for an initial period of twenty-four (24) months, unless earlier terminated in accordance with Section 8.
2.
RENEWAL. Upon expiration, this Agreement shall automatically renew for successive twelve (12) month periods unless either party provides written notice of non-renewal at least sixty (60) days prior.
3.
GOVERNING LAW. This Agreement shall be governed by and construed in accordance with the laws of the State of New York, without regard to conflict of law principles.
4.
FEES. Client shall pay Provider the fees set forth in Schedule A, payable net-thirty from invoice date.
renewal → Feb ‛28
);
const OCR_DOCS = [
{
name: 'scan_ACM_invoice_09_14.pdf',
kind: 'Invoice',
lang: 'DE · scanned',
Render: ScannedGermanInvoice,
extract: {
doc_type: 'invoice',
supplier: 'Acme GmbH',
invoice_no: 'ACM-4192',
date: '2026-09-14',
due_date: '2026-10-14',
vat_id: 'DE 812 340 991',
subtotal_eur: 48290.00,
tax_eur: 9175.10,
total_eur: 57465.10,
status: 'paid',
}
},
{
name: 'facture_VND_D_scan_881.pdf',
kind: 'Invoice',
lang: 'FR · photo',
Render: ScannedFrenchReceipt,
extract: {
doc_type: 'invoice',
supplier: 'Vendor D SARL',
invoice_no: 'VND-D-881',
date: '2026-08-30',
subtotal_eur: 12400.00,
tax_eur: 2480.00,
total_eur: 14880.00,
note: 'ref MSA §4.2',
}
},
{
name: 'MSA_Borealis_signed_scan.pdf',
kind: 'Contract',
lang: 'EN · signed',
Render: ScannedContract,
extract: {
doc_type: 'msa',
counterparty: 'Borealis Ltd.',
effective_date: '2026-04-01',
term_months: 24,
auto_renew: true,
notice_days: 60,
governing_law: 'NY',
renewal_reminder: '2028-02-01',
}
},
];
const BatchOCR = () => {
const [idx, setIdx] = React.useState(0);
const [phase, setPhase] = React.useState(0); // 0 scan, 1 extract, 2 land
const [landed, setLanded] = React.useState([]);
React.useEffect(() => {
const timers = [];
// scan → extract → land, then advance
timers.push(setTimeout(() => setPhase(1), 1400));
timers.push(setTimeout(() => setPhase(2), 2600));
timers.push(setTimeout(() => {
setLanded(prev => {
const doc = OCR_DOCS[idx];
const next = [...prev, { ...doc.extract, __name: doc.name, __kind: doc.kind }];
return next.slice(-6);
});
}, 3300));
timers.push(setTimeout(() => {
setPhase(0);
setIdx(i => (i + 1) % OCR_DOCS.length);
}, 4200));
return () => timers.forEach(clearTimeout);
}, [idx]);
const doc = OCR_DOCS[idx];
const extractEntries = Object.entries(doc.extract);
const Render = doc.Render;
return (
{/* LEFT — the messy source doc being scanned */}
1 · Messy source
{doc.kind} · {doc.lang}
{doc.name}
Smart AI OCR
→ {doc.kind.toLowerCase()} pipeline
{/* MIDDLE — extracted JSON */}
2 · Structured extract
= 1 ? 'live' : ''}`}>{phase >= 1 ? 'Extracting' : 'Waiting'}
{'{'}
{extractEntries.map(([k, v], i) => (
= 1 ? 'on' : ''}`} style={{animationDelay:`${i*70}ms`}}>
"{k}": {typeof v === 'string' ? `"${v}"` : String(v)}{i < extractEntries.length-1 ? ',' : ''}
))}
{'}'}
confidence 0.97
source cited
{/* RIGHT — knowledge pod */}
3 · Live knowledge pod
Firm-wide
Q3 Vendor Invoices
{landed.length} of {OCR_DOCS.length} indexed · queryable now
{landed.slice().reverse().map((row, i) => (
{row.__kind.toUpperCase()}
{row.__name}
{Object.entries(row).filter(([k]) => !k.startsWith('__')).slice(0, 3).map(([k, v]) => (
{k}{String(v)}
))}
))}
{landed.length === 0 && (
Waiting for first extract…
)}
▸
"Total Q3 spend by supplier, EUR"
);
};
Object.assign(window, { Platform, Connectors, Batch, BatchOCR });