Technology
Purpose-built AI for enterprise procurement
Zylio turns complex procurement documents into structured, auditable intelligence. Specialized AI agents and deterministic financial engines work through a semantic layer that normalizes your data and maps the relationships within it — so every figure traces back to its source.
The layer system
4 · Insights
Structured, queryable intelligence
3 · Reasoning
Two engines, each in its place
Judgment work
- extraction
- matching
- comparison
- exception detection
- validation loops
Arithmetic work
- math
- unit conversion
- tax
- totals
- variance
- rule-based, exact and repeatable
2 · Semantic layer
One connected model
1 · Sources
Your systems, as they are
Zylio fits into the stack you already run
Zylio is built to sit within the systems you already run — ERPs, sourcing and procurement platforms, and data stores. It retrieves data, enriches it through the semantic layer, and returns structured results to where your teams work.
Sources
Your systems, as they are
- ERP
- E-procurement platforms
- Shared drives
- PDFs
Retrieve
Enrich
Integrate
One semantic layer across your procurement data
Beyond reading individual documents, Zylio maintains a semantic layer: a single, connected model of your suppliers, items, prices, and contract terms, drawn out of scattered PDFs.
The layer and the agents work in tandem. Each document the agents process enriches the layer; the layer, in turn, gives every agent more context to reason with. Accuracy compounds as coverage grows.
- Normalization
- Prices, units, quantities, and supplier terminology resolve into a consistent model, making line items comparable across suppliers and formats.
- Relationship discovery
- The connections that matter surface on their own: equivalent items across suppliers, recurring pricing patterns, links between quotes and framework agreements, and supplier-specific behaviours.
- A two-way loop with the agents
- The layer supplies richer context for extraction, matching, and comparison; the agents return new structure and validated data. Each pass improves the next.
- Process
- Learn patterns
- Human validation
- Enrich
A system that improves with every document
Zylio does not begin from zero on each engagement. Analysts stay in the loop, and their input makes the system sharper over time.
- Supplier template recognition
- It learns each supplier’s document structure — layouts, naming conventions, unit formats — so extraction grows more accurate with every subsequent quote.
- Feedback-driven refinement
- Analyst corrections feed back into the system. Each validation, override, or annotation informs how future documents are processed.
- Compounding coverage
- Every processed document, validated correction, and recognized template widens what the system can handle — turning early manual effort into lasting, automatic gains.
Where the work is arithmetic, we don’t estimate
LLMs are capable reasoning tools, but they are the wrong instrument for arithmetic. Financial figures demand deterministic precision, so Zylio assigns each task to the appropriate engine.
AI workflows
For the ambiguous, context-dependent work that calls for judgment:
- reading unstructured layouts
- resolving supplier-specific terminology
- matching line items across formats
- interpreting sophisticated pricing structures
- mapping relationships across procurement data
Deterministic engines
For the numerical work where precision is not negotiable:
- price calculation and summation
- unit conversion
- tax computation
- totals reconciliation
- variance and drift analysis
The effect is financial figures that stay faithful to the source, with AI reserved for the judgment calls that genuinely require it — rule-based, auditable, and exact.
Specialized agents and validation loops
In procurement, a misread decimal or an overlooked clause carries financial consequence. Zylio’s architecture is organized around a single principle: precision at every step.
- Specialized AI agents
- Rather than a single general model, Zylio runs purpose-built agents for extraction, normalization, matching, comparison, and exception detection. Each is tuned to its domain and draws on the semantic layer for context.
- Validation loops
- Every AI output is verified automatically — arithmetic cross-checked, units reconciled, extracted values reread against the source.
- Exception detection
- Zylio surfaces what warrants attention — price drift, outliers, mismatched terms, deviations from a framework agreement — so analysts focus on exceptions rather than line-by-line review.
- Full data lineage
- Every value traces to its origin: the exact page, table, and cell in the source document.
Structure first, insight after
Most tools return text: a summary read once and set aside. Zylio uses AI as a reasoning engine to produce structured data — normalized entries, connected line items, scored comparisons — that remains useful long after the document is closed.
From an unstructured PDF
to structured, normalized, connected data
- Queryable
- A searchable record of every quote, invoice, price point, and supplier term the organization has received, available on demand.
- Insight-ready
- Trends, price drift, category benchmarks, and financial indicators require clean, normalized data — the kind the semantic layer produces, and unstructured text cannot.
The value of AI in procurement is not generated text. It is the structured intelligence that reasoning over documents makes possible — and the decisions that intelligence supports.
Built for the scale of enterprise procurement
Zylio is designed for the data enterprises actually handle: sophisticated pricing, large framework agreements, high volumes, and long, dense specifications. Tens of thousands of documents and data points are processed in days rather than months, and organized into a single semantic layer.
- High-volume processing
10,000+supplier documents processed each week
across formats, languages and structures
Thousands of supplier quotes ingested and analysed each week, across formats, languages, and structures.
- Framework agreements
12,000+priced terms per framework agreement
per supplier contract, pricing rules included
Framework agreements with tens of thousands of priced items and sophisticated pricing rules, handled per supplier contract.
- Complex documents
100+line items per document
multi-page specifications and dense pricing tables
Multi-page specifications and dense pricing tables with hundreds of line items, each structured and normalized.
Nothing is lost. Everything can be checked, everything can be proven.
- The contract clause and the invoice line, highlighted side by side.
- Every extracted value stays linked to the exact place in the document where it was read.
- The same case produces the same decision, today as in six months: the rules are applied deterministically.
- No discrepancy is set aside in silence. Anything that matches no rule is raised, with its reason.
- The agent records what it did, in the order it did it: who, what, how much, when.
Measurable impact in every environment
More than 5 million procurement documents analysed
Between 1 and 7% of margin recovered
on the scope analysed
From 15 to 45% of time given back to teams, per FTE
depending on the scope and on data maturity
Zylio fits into your existing ecosystem.
The ERP runs the process. Zylio handles the exception and recovers the value that escapes it: invoices without a purchase order, line-by-line price discrepancies, duplicates and overbilling, off-contract spend.
Your data under high security.
Zylio meets the most demanding standards, and nothing is committed without your approval.
- Certifications
- Hosting
- Encryption
- Access
See what this looks like on your own data
Twenty minutes, on a spend category of your choosing. We show you what the agents detect, with the evidence behind it.
- No commitment, on your own data
- Result in 3 weeks
- 20 minutes, no sales pitch
- Your data stays hosted in France
- No change of tool or process