The edge-native IDP platform

Process millions of documents. Zero egress costs. 100% auditability.

STELE is the next-generation Intelligent Document Processing platform. We extract, validate, and semantic-search your unstructured data with enterprise-grade accuracy — at a fraction of the cost of legacy, cloud-heavy systems.

Start Free Trial See How It Works ▶

No credit card required · Deploy in minutes · Process 100 pages free every month

Built for the world’s most regulated industries

SOC 2 Type IIHIPAA CompliantGDPR ReadyISO 27001FedRAMP Path

§ The problemwhat legacy IDP really costs

The “Legacy Tax” on your document workflows.

Traditional IDP solutions were built for a different era. They force you to compromise on cost, accuracy, or security.

The Data Gravity Trap

Legacy platforms hosted on hyperscalers charge massive data egress fees just to move your PDFs from storage to compute. You pay twice for the same data.

Brittle, Template-Driven OCR

When a vendor changes their invoice layout, your extraction breaks. Reconfiguring templates costs thousands in professional services.

Compliance Blind Spots

AI wrappers that lack immutable audit trails are a liability. Regulated industries need to know exactly who changed what, and when.

§ The platformengineered for the edge

The STELE advantage: engineered for the edge.

We rebuilt IDP from the ground up using edge-native infrastructure. The result? Unmatched speed, radical cost efficiency, and uncompromising security.

Zero-Egress Ingestion

Your documents are uploaded directly to our global edge storage. Our processing engines read the data locally. You never pay data transfer fees — slashing your per-page processing cost by up to 40% compared to AWS/Azure-based competitors.

Agentic AI Extraction

Forget rigid templates. STELE uses layout-agnostic, edge-hosted Large Language Models to understand the context of your documents. Whether it's a 200-page contract or a crumpled shipping manifest, STELE adapts instantly.

Immutable Auditability

Every document ingested, every AI extraction, and every Human-in-the-Loop correction is logged in an append-only, cryptographically secure ledger. Built from day one for SOC2, HIPAA, and GDPR compliance.

Semantic Memory (RAG)

Don't just extract data — understand it. STELE automatically vectorizes your documents at the edge. Instantly semantic-search across millions of files, or chat with your document repository to find specific clauses, terms, or anomalies.

§ The productscroll — the workspace follows

Watch a document become intelligence.

This is the actual product — the same four surfaces your team lives in, from first upload to a cited answer.

§ 01 · Ingest → Extract

Drop a file. Read it back as structured data, seconds later.

Uploads go straight to edge object storage over a presigned URL — no app server in the path. A queue worker parses the layout, detects what the document is from its content (not a template), and emits typed JSON with a confidence score on every extraction.

stele.app/upload — drag & drop, or a plain HTTP PUT

supplier-invoice.pdf

182 KB · presigned PUT → R2

parsedlayout + tables
classifiedinvoice · 0.96
embedded768-dim vector
extracted9 typed fields

{

"doc_type": "invoice",

"vendor": "Southern Freight Co.",

"invoice_number": "INV-2081",

"doc_date": "2026-06-14",

"currency": "NZD",

"subtotal": 8120.00,

"tax": 1218.00,

"total": 9338.00,

"confidence": 0.94

}

§ 02 · Adaptive workspace

A dashboard that reshapes itself around your corpus.

Upload invoices and you get spend, vendors, and anomaly panels. Add contracts and a renewal horizon appears. STELE composes the workspace from what you actually store — ten document types today, no configuration, ever.

stele.app — workspace · composed from 17 documents

documents

0.87

avg confidence

+12%

spend forecast

corpus composition — panels below adapt to this mix

invoices

35%

receipts

18%

contracts

12%

purchase orders

12%

bank statements

12%

other

11%

anomaly: CloudStack · z 3.19 contract horizon → 2027-12-31 duplicate caught: POS-8841

§ 03 · Human in the loop

Low confidence never ships silently.

Every extraction passes a validation gate — required fields, arithmetic checks, a second-model escalation when the first read is shaky. Anything still uncertain lands in a review inbox, and your one-click corrections become few-shot memory for the next document.

stele.app/review — 1 extraction held for human eyes

freight-invoice-jun.pdfinvoice

0.94

berth-lease-2026.pdfcontract

0.91

handwritten-receipt.jpgreceipt

0.41

⚠ total missing — arithmetic gate failedCorrectApprove

po-kt-2077.pdfpurchase order

0.89

corrections are appended to the audit ledger and reused as few-shot memory

§ 04 · Semantic chat

Ask the corpus a question. Get a cited answer.

Documents are vectorized at ingest into a 768-dimension semantic index. Ask about a vendor, a clause, or a number and STELE answers in plain language — with the exact source documents attached, so finance and legal can verify in one click.

stele.app/chat — grounded on your corpus, cited by file

What did we spend with CloudStack in June — anything unusual?

June’s CloudStack invoice totals NZD 9,791.20 — 3.1× their monthly median, flagged as a statistical anomaly. The driver is a $6,719.60 GPU-compute overage line that first appears this month.

cloudstack-invoice-jun.pdf · line 14anomaly: z 3.19 (MAD)

stele.app/upload — drag & drop, or a plain HTTP PUT

supplier-invoice.pdf

182 KB · presigned PUT → R2

parsedlayout + tables
classifiedinvoice · 0.96
embedded768-dim vector
extracted9 typed fields

{

"doc_type": "invoice",

"vendor": "Southern Freight Co.",

"invoice_number": "INV-2081",

"doc_date": "2026-06-14",

"currency": "NZD",

"subtotal": 8120.00,

"tax": 1218.00,

"total": 9338.00,

"confidence": 0.94

}

See it on your own documents.

Process 100 pages free every month — no credit card, no sales call, first extraction in under a minute.

Start Free Trial Compare plans

§ How it worksfour steps, zero servers

From unstructured chaos to actionable intelligence in 4 steps.

§ 01

Ingest at the Edge

Users drag-and-drop files. Data is routed to the nearest edge node via a presigned PUT straight into object storage. No central bottlenecks.

§ 02

Parse & Extract

Edge-hosted AI models parse complex layouts, tables, and multi-lingual text, extracting structured JSON — vendor, dates, totals, line items.

§ 03

Validate & Vectorize

Every extraction carries a confidence signal. High-confidence data is embedded into a 768-dim vector index for instant semantic search; anomalies are flagged for review.

§ 04

Automate & Route

Structured data flows to your dashboard, approval policies fire automatically, and everything is queryable via REST API — ready for your ERP, CRM, or core banking system.

§ Solutionsby industry

Purpose-built for high-stakes industries.

BFSI

Banking, Financial Services & Insurance

Use cases: Automated KYC/AML verification, loan application processing, claims adjudication.
STELE impact: Reduce loan processing time from days to minutes with strict regulatory audit trails.

Legal & Compliance

Law firms and in-house counsel

Use cases: Contract lifecycle management, clause intelligence, e-discovery.
STELE impact: Instantly surface risky clauses across thousands of contracts using semantic search.

Logistics & Supply Chain

Freight, customs, and procurement

Use cases: Bill of Lading processing, customs documentation, supplier invoice matching.
STELE impact: Handle massive, highly variable global document formats without template maintenance.

Healthcare & Government

Providers, payers, and agencies

Use cases: Patient record digitization, prior authorization, secure public records archiving.
STELE impact: Process sensitive PII/PHI with edge-localized processing — data never leaves your mandated geographic region.

§ Architectureactual output shape

One PDF in. One JSON out. Every field, tabular-num precise.

This is the actual extraction shape the deployed pipeline emits for an invoice — R2 object storage, queue-driven AI extraction, Vectorize semantic index, and an append-only D1 audit ledger, entirely on Cloudflare’s edge.

Live extractionLlama 3.1·8B

Read the architecture manifest

§ Pricingtransparent, per-page

Stop paying the hyperscaler tax.

Because STELE is built on a zero-egress, edge-native architecture, our cost-to-serve is radically lower. We pass those savings directly to you. Pay only for the pages you process — no hidden data-movement fees.

40%

lower TCO vs. legacy IDP

85%

gross-margin architecture

data-movement fees. Ever.

Free

$0forever

100 pages / month

Core extraction, semantic search, and the workspace dashboard.

Start Free Trial

Pro

Team

$199per month

10,000 pages / month

Everything in Pro plus policies + contract intelligence.

Upgrade to Team

Enterprise

Customannual

Unlimited + data residency

Dedicated edge region, CF Access SSO, HITL workflows, custom connectors.

Talk to an Edge Architect

Capability	Free	Pro	Team
AI extraction to structured JSON	✓	✓	✓
Semantic search + workspace dashboard	✓	✓	✓
Immutable audit trail	✓	✓	✓
Ask STELE — chat with your corpus	—	✓	✓
Auto-categorization + language detection	—	✓	✓
Duplicate & double-payment detection	—	✓	✓
Cross-document graph (PO ↔ invoice ↔ receipt)	—	✓	✓
Vendor risk grades A–F	—	✓	✓
Anomaly narratives	—	✓	✓
Spend forecasting with confidence bands	—	✓	✓
Plain-English approval policies	—	—	✓
Contract clause intelligence + signatures	—	—	✓

§ Questions we getanswered in prose, not marketing

The questions worth asking before you evaluate.

How is STELE different from AWS Textract or Azure Document Intelligence?

Hyperscaler tools charge you for data egress and require you to build the orchestration, validation, and audit layers yourself. STELE is a complete, end-to-end platform that processes data at the edge, eliminating egress fees and providing out-of-the-box review and audit workflows.

Is my data secure? Where is it processed?

Absolutely. STELE processes data at the edge, meaning your documents are parsed in the geographic region closest to the user. Data does not bounce across global networks, minimizing latency and ensuring strict data residency compliance.

What happens if the AI makes a mistake?

STELE assigns a confidence score to every extraction and flags statistical anomalies automatically. You can correct any categorization or field in one click — the system records every correction in the audit ledger and learns from your feedback.

Can I integrate STELE with my existing ERP/CRM?

Yes. STELE is API-first. Every capability on this page — upload, extraction, search, chat, forecasting — is a documented REST endpoint you can call from SAP, Salesforce, Oracle, Microsoft Dynamics, or your own stack.

How does the free plan work?

Sign up and process 100 pages every month, free forever — no credit card required. Upgrade to Pro when you want the AI feature suite, or Team for approval policies and contract intelligence.

§ Deploy

Build the unbreakable foundation for your enterprise data.

Join the forward-thinking enterprises using STELE to turn document processing from a cost center into a competitive advantage.

Start Your Free Trial View Pricing Plans Talk to an Edge Architect

Free — 100 pages · Pro — 1,000 pages · Team — 10,000 pages · Enterprise — custom deployments