AI data infrastructure · v2.1

From raw data to context for your AI.

Scanned PDFs, business Excel, legacy XML, undocumented APIs — Zparse parses, chunks and ships to your RAGs, agents and models. Without data slipping through the cracks.

Hosted in the EUPrivacy by Design
zparse.io / pipelines / rag-prod-01
pipelines
contrats-v3
catalogue-q3
rag-prod-01
sharepoint-eu
destinations
qdrant · prod
weaviate · stg
pgvector · dev
rag-prod-01
live · 2m 14s
Pipeline
Traces
Schema
Settings
01Parse
02Chunk
03Embed
04Route
docs1,247
chunks18,402
throughput4.2k/s
errors0
15:42:11chunk.create· ok 84ms
15:42:09parse.xlsx· ok 212ms
15:42:08ocr.retry· low conf p.88
15:42:06embed.batch· 128 chunks
Partners
PennylaneHubSpotRecaeroStridesUnitecFrench TechMistral
02 — the problem

Bad answers from your RAG?

It hasn’t seen half of your documents.

Vibe-coding frameworks are great for prototyping. They collapse in production — halfway between your Google Drive and your vector DB.

01
Your Python script times out on 300-page PDFs
parsing
02
Your chunks break sentences in the middle of tables
chunking
03
Your retrievals ignore half of your Excel files
coverage
04
When it works, you’re locked into a stack that decides for you
lock-in
Zparse takes over exactly where your current tools let you down.
03 — the three pillars

Three guarantees,
one infrastructure.

Pilier I · ingestion

From your documents to your vector DB. Lossless.

Scanned PDFs, 14-sheet Excel files, legacy XML, SharePoint vaults, undocumented APIs. Zparse parses, chunks, enriches. Direct delivery to Qdrant, Weaviate, Pinecone, pgvector, Elasticsearch.

Native connectors to your existing systems — SharePoint, Google Drive, S3, SFTP, internal APIs.

Formats parsés · 8
PDFOCR readya
XLSXmulti-sheet
XMLlegacy</>
JSONnested{}
CSVstreaming,
JSONLnewline-delim
MDmarkdown
PARQUETcolumnar
Pilier II · observability

Your pipeline, observable line by line.

Every document ingested. Every chunk created. Every embedding generated. Traced, logged, replayable.

No more sleepless nights debugging a hallucinating RAG. You see exactly what your AI saw — and what it missed.

Trace · run #8421● replayable
15:42:11chunk.create contrats_2024.pdf p.14284ms
15:42:09parse.ok catalogue_Q3.xlsx · 14 sheets212ms
15:42:08ocr.retry scan page 88 · low conf510ms
15:42:06embed.batch 128 chunks · mistral-e-v21.2s
15:42:04route.qdrant contracts_v322ms
15:42:02chunk.create api_erp_legacy.xml91ms
Pilier III · routing

Your AI stack, not ours.

Mistral for sovereignty. OpenAI for performance. Claude for reasoning. Local Llama for air-gap.

Zparse is agnostic by design. You plug in whatever you want. We keep nothing. We lock you into nothing.

Routing · any-to-any
PDFsource
XLSXsource
XMLsource
APIsource
Z
MistralEU
OpenAIUS
ClaudeEU/US
Llamalocal
04 — comparison

What Zparse does that
your current tools don’t.

CapabilityLangChain / LlamaIndexUnstructured.ioIn-house Python scriptZparse
Fast prototyping
Production observabilitypartial
All formats (even legacy)partialfragile
LLM agnosticpartialpartial
Zero permanent storage
EU hosting
On-premise deploymentcomplexcomplex
Human support when it breaks
05 — use cases

Three AI stacks.
Three problems solved.

Industrial · on-premise
specs ingested
12,000
Scanned PDFs · OCR
DB query latency
84ms
p95 · air-gap
Industrial documentation agent
12,000 technical standards in scanned PDFs turned into context for an on-premise Mistral agent. Engineers query their specs in natural language, with no data ever leaving the site.
stackMistral · Qdrant · on-premise
Legal · private cloud FR
Regulated legal RAG
40,000 client contracts indexed in French private cloud. Zero data on OpenAI, Claude or Gemini.
Mistral EU· Qdrant · private cloud
E-commerce · SaaS EU
E-commerce AI catalog
140,000 multi-supplier SKUs turned into context for a recommendation agent. Real-time responses.
OpenAI· Pinecone · SaaS EU
06 — for whom

Recognize
one of these profiles?

A · BUILDER
You’re prototyping in LangChain. You need to ship to production.
Zparse replaces your Python script with infrastructure that’s observable, deployable, and doesn’t break at midnight on a Friday.
B · AGENCY
You’re an AI agency. Your projects all look the same.
Zparse becomes your reusable ingestion layer. You ship 3× more projects. You margin 2× better.
C · STARTUP
You’re an AI startup. Your RAG can’t take the load.
Zparse industrializes your ingestion. Your RAG holds when volumes explode — and your customers grow.
07 — pricing

Free until
your first customer.

Free
Build your first workflow. No credit card required.
€0/month
No card needed
Includes
  • Unlimited mappings
  • 1,000 executions / month
  • 2 workflows
  • 1 GB storage available
  • Community support
  • No credit card needed
Most popular
Builder
For the working developer shipping side projects.
€29/month
Billed monthly
Everything in Free, and
  • 5 workflows
  • 5,000 executions / month
  • 3 concurrent jobs
  • 5 GB storage available
  • Email support, 48h
Builder+
For shipping in production with collaborators.
€89/month
3 seats included
Everything in Builder, and
  • 25 workflows
  • 10,000 executions / month
  • 10 GB storage available
  • ISO 27001 in progress & DPA
  • Email support, 24h

Two options.

Write a fragile Python pipeline that’ll break next month.
Or plug Zparse between your data and your AI.
you plug in · you choose · zparse runs
9 — FAQ

Frequently asked.