THE DATA REGISTRY FOR UNSTRUCTURED DATA
Talonic captures field-level data from enterprise documents once, without defining a schema, into a reusable registry. Map it into any workflow, system, or agent later, without re-extracting.
THE PROBLEM
Most tools extract for one schema, then stop; leaving every new workflow or agent to start from zero.
Four broken layers. None of them fixed by a better model. The data wasn’t ready.
10%
Of enterprise unstructured data is ever analyzed.
5%
Of enterprise data is queryable by AI today.
33%
Of enterprise applications are integrated.
5%
Of enterprise GenAI pilots reach production.
THE COST OF RE-EXTRACTION
Without a registry, adding a downstream system means re-running every extraction. Cost scales as documents times systems.
Every new agent, workflow, or integration multiplies your extraction cost. Unless the data is already in a registry.
An endless stream of documents. None of it queryable. Ingested through Talonic from email, drive, S3, SFTP, or API. Document types include contracts, invoices, emails, scans, carrier manifests, purchase orders, service reports, and allocations.
Every document, parsed. Every field, extracted. Every schema, recognized. In parallel, at scale. Talonic processes service agreements, invoices, carrier manifests, purchase orders, and service reports — extracting 64 to 113 fields per document with schema recognition (vendor_contract_v7, invoice_v3, carrier_manifest_v2, purchase_order_v2, service_report_v1).
Every field becomes canonical. Every extraction compounds. The registry never resets. Canonical fields include vendor_name, contract_value, effective_date, term_end, auto_renew, governing_law, notice_period, invoice_number, total_amount, tax_rate, currency, due_date, payment_terms, load_id, carrier, origin, destination, weight_kg, incoterms, vehicle_type, technician, report_id, service_date, and facility. New canonicals are continuously discovered: meter_id, incoterm_variant, clinical_phase, hs_code, vat_id, hazmat_class, and more.
Every new schema, mapped to canonicals. Every field, recognized regardless of source terminology. Continuously. Example: customer_contract_v3 maps party_name to vendor_name (0.94 confidence), agreement_value to contract_value (0.91), termination_date to term_end (0.89), monetary_unit to currency (0.97). 4/4 matched with 0.93 average confidence.
Every question, answered against the registry. Every answer, structured and typed. Continuously. Query with SQL, natural language, or API calls. Examples: "SELECT contract_value FROM canonicals WHERE governing_law = BGB § 305ff", "which contracts expire in Q4 2026?", "talonic.query(canonicals, filter={governing_law: BGB § 305ff})". Deliver to SAP S/4HANA, Salesforce CRM, NetSuite, Dynamics, Ivalua, or any REST endpoint.
Traditional parsing tools start with a destination format and extract into it. Extraction quality is the floor, not the ceiling. Customers consistently see 90%+ accuracy in head-to-head benchmarks against incumbents. And with Talonic, that result lives in a registry that compounds across every future schema, system, and agent.
INSIDE TALONIC
The case graph: 1,951 documents, 17,466 entity links across 97 cases.
Phase 1 fills 30% of cells from the registry, instant, no AI calls. Phase 2 reasons. Phase 3 validates. Phase 4 fills the gaps. Once a cell hits 0.7 confidence, no later phase can overwrite it.
Read the pipeline →Identity, transaction, and reference keys link related documents into cases. The system finds them. You review them. The unit of work isn’t the document. It’s the case.
Read about cases →Signal → Binding → Resolver → Serializer → Connector. Every attempt logged. Every failure replayable. Append-only history, idempotency keys on the wire, and a dead-letter queue you can drain.
Read about delivery →PROVENANCE
Most tools return a value. Talonic returns a value, the line it came from, the region of the scan that produced that line, the confidence, the phase, and the reasoning. Auditable by default. Defensible by design.
DOCUMENT ONTOLOGY
From Schedule K-1 to Bill of Lading (Ocean), from Notarial Deeds to QC Inspection Forms — Talonic understands the structure of every enterprise document type out of the box.
Schedule K-1, Form 1099-MISC, Form W-8BEN, Form 1040, Form 990, and 48 more
Purchase Order, Commercial Invoice, Pro Forma Invoice, Goods Receipt Note, Three-Way Match Report, and 48 more
Bill of Lading (Ocean), Bill of Lading (Inland), Air Waybill (AWB), House Air Waybill (HAWB), Sea Waybill, and 48 more
Notarial Deed, Master Service Agreement, Statement of Work, Non-Disclosure Agreement, License Agreement, and 48 more
Commercial Register Extract, Certificate of Good Standing, Certificate of Incorporation, Annual Return, Director's Report, and 48 more
Patient Intake Form, Medical History Questionnaire, Informed Consent Form, Discharge Summary, Operative Report, and 48 more
QC Inspection Form, Certificate of Analysis (CoA), Certificate of Conformance, First Article Inspection Report, Material Test Report, and 48 more
Insurance Application, Policy Declaration Page, Insurance Policy Wording, Endorsement / Rider, Certificate of Insurance, and 48 more
Property Deed, Title Report, Land Registry Extract, Survey Plan, Zoning Certificate, and 48 more
Employment Application, Offer Letter, Employment Contract, Background Check Report, I-9 Employment Eligibility, and 47 more
529 document types across 10 categories — no templates, no training, no configuration.
DIN SPEC 91491
Talonic co-authored DIN SPEC 91491 with Fraunhofer IIS, Humboldt-Innovation, GIIC, and the German standards body. Europe's first standard for AI-ready data at the schema layer.
As the EU AI Act extends into data-layer compliance, DIN SPEC 91491 defines what schema-layer data readiness looks like. Enterprises aligning with the standard need an implementation that was built alongside it.
The standard we helped write. The implementation we ship.
Send a representative sample of contracts, scans, case files, or operational documents. We’ll return a schema audit covering extraction coverage, provenance quality, matching opportunities, and a concrete recommendation for how your document corpus can become reusable enterprise data, within five business days.
Not ready to share a sample?
An endless stream of documents. None of it queryable. Ingested through Talonic from email, drive, S3, SFTP, or API. Document types include contracts, invoices, emails, scans, carrier manifests, purchase orders, service reports, and allocations.
Every document, parsed. Every field, extracted. Every schema, recognized. In parallel, at scale. Talonic processes service agreements, invoices, carrier manifests, purchase orders, and service reports — extracting 64 to 113 fields per document with schema recognition (vendor_contract_v7, invoice_v3, carrier_manifest_v2, purchase_order_v2, service_report_v1).
Every field becomes canonical. Every extraction compounds. The registry never resets. Canonical fields include vendor_name, contract_value, effective_date, term_end, auto_renew, governing_law, notice_period, invoice_number, total_amount, tax_rate, currency, due_date, payment_terms, load_id, carrier, origin, destination, weight_kg, incoterms, vehicle_type, technician, report_id, service_date, and facility. New canonicals are continuously discovered: meter_id, incoterm_variant, clinical_phase, hs_code, vat_id, hazmat_class, and more.
Every new schema, mapped to canonicals. Every field, recognized regardless of source terminology. Continuously. Example: customer_contract_v3 maps party_name to vendor_name (0.94 confidence), agreement_value to contract_value (0.91), termination_date to term_end (0.89), monetary_unit to currency (0.97). 4/4 matched with 0.93 average confidence.
Every question, answered against the registry. Every answer, structured and typed. Continuously. Query with SQL, natural language, or API calls. Examples: "SELECT contract_value FROM canonicals WHERE governing_law = BGB § 305ff", "which contracts expire in Q4 2026?", "talonic.query(canonicals, filter={governing_law: BGB § 305ff})". Deliver to SAP S/4HANA, Salesforce CRM, NetSuite, Dynamics, Ivalua, or any REST endpoint.