Every other AI vendor rents you behaviour you can’t keep, version or improve. We do the opposite: tune a specialist on your own estate, run it inside your VPC, and hand you the weights. It gets better every week your experts use it — and it never leaves your account.
If your work runs on documents, this applies to you. Finance is where we cut our teeth — the hardest estates, the strictest auditors — but the pipeline is sector-neutral: healthcare, legal, energy & utilities, logistics & supply chain, manufacturing, telecom, public sector. Two product lines carry it: GoSpend predicts and removes cloud and AI spend; the GoCore types your unstructured corpus into validated schemas. One substrate underneath, three commitments on top.
Forecasts the bill as a distribution, names the owner of every dollar and token, cuts the waste, pre-buys the floor.
Ingest, clean, classify, govern, and serve your unstructured corpus into validated schemas with pixel-level lineage.
Five layers between a document nobody can query and a record your systems can trust. One owner, all five.
A forwarded phone photo of a signed amendment is the normal case, not the edge case. The ingest layer takes the estate exactly as it arrives — native PDFs, scans, spreadsheets, email threads, handwriting — and gives every page a stable identity it keeps for the rest of the pipeline.
OCR + layoutHandwritingEmail & attachmentsAny resolutionNo document is triaged out because a human would find it inconvenient.
Real estates are full of split scans, duplicate copies and amendments that silently supersede the terms above them. This layer stitches the pages back together, resolves which version governs, and reconciles every amendment against the original before anything is read for meaning.
Deskew & denoisePage stitchingVersion resolutionDe-duplicationExtraction never runs against a superseded version.
The classify layer names the family, resolves the parties against your existing masters, segments the clauses, and maps each term onto your canonical schema — yours, not a generic one, because the schema is what everything downstream is actually promised.
Document familyParty resolutionClause segmentationCanonical schemaEvery value lands in a named field, or it lands nowhere.
Every field carries a confidence score and a page reference. Anything under the threshold you set stops and waits for a named steward rather than flowing through quietly — and that correction is captured as a labelled example from your own documents.
Confidence gatesSteward routingField-level lineageAudit traceA confident error costs you far more than an abstention, so we price it that way.
Typed rows land in your masters and an API your systems call directly. Every value keeps a page reference back to the source, so when someone in audit asks where a number came from, the answer is a document and a page — not a prompt and a hope.
Typed schemasAPI + webhooksPage-level lineageZero egressNothing leaves your account. The weights, the records and the lineage stay yours.
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Seven worked examples, each with its own bottlenecks, confidence gate and straight-through targets. The same five layers run on any document estate — these are simply the ones we have taken deepest.
Trust deeds, ACAT packs and held-away statements are typed straight into the household master — including the assets you can see but never structured, which is usually where the advice actually lives.
Trust deedsACAT packsHeld-away statementsOnboarding packsHeld-away positions land in the same schema as custodied ones, with a page reference behind each.
Open the use case →LPAs, PCAPs and capital notices typed onto your fund, party and security master. Side letters are read clause by clause, so the terms that differ per investor stop living in someone’s inbox.
LPAs & side lettersCapital accountsK-1sCredit agreementsEvery commitment, call and distribution reconciles to the notice it came from.
Open the use case →Forty to eighty fields per lease, extracted clause by clause, with the option and escalation language that determines value read rather than skimmed. Rent rolls reconcile against the leases behind them.
LeasesRent rollsDraw packagesDiligence packsOption, escalation and recovery clauses are abstracted at clause level, not summarised.
Open the use case →Account packs, loan files, KYB packs, remittances and disputes typed onto a single schema — so a dispute running against a ten-day clock is not waiting on someone to open a PDF and retype an amount.
Account packsLoan filesKYB packsRemittancesEvidence for a dispute is assembled with lineage, not reconstructed from memory.
Open the use case →Broker submissions, SOVs, loss runs, FNOL packs and medical records typed onto your policy and claims master. The SOV that arrives as a spreadsheet inside an email inside a PDF is the normal case here.
Submissions & SOVsLoss runsFNOL packsMedical recordsUnderwriters see a typed risk, with every value traceable to the page it came from.
Open the use case →PBAs, ISDA schedules and lock-up addenda typed onto your client and financing master, so financing terms and notice periods are queryable rather than buried in an executed PDF nobody has opened since signing.
PBAsISDA schedulesLock-ups & give-upsStock loanNotice periods and financing terms become fields with dates, not clauses with risk.
Open the use case →Structure documents, source-of-wealth evidence and pledge terms typed onto one client master — the ownership chain through each entity resolved and held as structure, not as a diagram someone drew once.
Structure documentsSource of wealthLombard creditCRSThe ownership chain is held as resolved structure, reviewable end to end.
Open the use case →Hover to explore
The same answers apply to all product lines.
Nothing you run trains anything of ours, and no data leaves for a third-party SaaS.
Deployment & customization Who approvesEvery automated action above your threshold waits, states what will change, and asks.
Autonomy & gates Who signs offScored against a ground-truth set your experts labelled, from your own estate.
Delivery phases
