The Unstructured.io alternativewhen you need business data, not embeddings.
Unstructured is ETL for GenAI: parse everything, chunk it, embed it, load it into vector stores at Fortune-1000 scale. MiruIQ answers a different question: extracting validated business records from documents with humans in the loop, on your infrastructure.
MiruIQ vs Unstructured
Choose Unstructured to feed a lakehouse or RAG system: 60+ file types, dozens of connectors, FedRAMP High for US government. Choose MiruIQ when the goal is a business record rather than a vector: schema extraction, cross-document validation, review queues and delivery to your systems, deployable on-premise or Swiss-hosted without an enterprise contract.
The honest comparison table
Facts a buyer can verify, not marketing adjectives. Both columns describe the products as they ship today.
| Dimension | MiruIQ | Unstructured |
|---|---|---|
| Deployment options | Cloud, Swiss-hosted, on-premise or air-gapped, including the AI models, shipping today | SaaS; In-VPC and bare-metal via the Business plan; the open-source library exists but is deliberately limited |
| Human-in-the-loop review | Built-in verify step: documents park at review nodes, reviewer edits flow back into the pipeline | None: a data-pipeline product with no reviewer workflow |
| Extraction approach | Generic and schema-driven, not pre-trained per document type: define the structure once and extract from any document. Handles complex tables, including notes above a table that change how the numbers must be read (e.g. "zeros cut off on purpose"). | Parsing, chunking and embedding into vector stores: document ETL for GenAI, not business-schema extraction |
| Fraud detection | Data-level: cross-document validation, recalculation of figures that must add up, external verification via API gates (bank checks, registry lookups); deliberately no image forensics, which generative AI defeats | Not a core focus: no dedicated fraud-detection capability advertised |
| Data residency | Switzerland or your own infrastructure; documents never leave your environment | FedRAMP High for US government; no EU or Swiss residency story |
| Local AI models | Yes: local LLMs on dedicated hardware, no US-cloud dependency | Open-source self-host is limited by design (reduced extraction quality, no VLM/GPU per their own docs); real deployments are paid VPC or bare-metal |
| Ownership & independence | Independent Swiss company; document processing is the whole product | Independent, VC-backed ($65M) with Databricks, IBM and NVIDIA as strategic investors |
| Pricing transparency | Public monthly plans: divide plan price by document volume for your per-document rate | Transparent per-page: free monthly page allowance, then $0.03/page; Business custom |
| Best-fit segment | Mid-market and enterprise teams in regulated industries | Data and AI platform teams at Fortune-1000 companies and US government feeding GenAI systems |
Who should choose what
No tool wins every scenario. This is our honest read of where each product is the right choice.
When Unstructured is the better choice
You are building RAG or lakehouse ingestion at scale and need breadth: 60+ file types and a connector for every vector store and warehouse. You are a US government or FedRAMP-bound organization; their compliance motion was built for you. You want transparent per-page ETL pricing with a generous free tier for experimentation before any sales conversation.
When MiruIQ is the better choice
The output you need is a validated business record (named fields, checked totals, an audit trail), not chunks in a vector database. Your residency requirement is European: on-premise or Swiss hosting as standard capability, not a Business-plan negotiation. The system is run by an operations team: pipelines, review queues and delivery, without a data-platform engineering team behind it.
Beyond the head-to-head, three questions usually settle the choice:
Where must documents live?
If the answer is your own infrastructure or Switzerland, the field narrows fast: MiruIQ ships on-premise with local AI models and Swiss hosting as standard. If any compliant cloud works, Unstructured stays in the running.
Who runs it day to day?
Developer APIs assume engineers own the workflow. MiruIQ is built for operations teams: reviewers work in the verify queue, and pipelines are configured, not coded.
Can you compute the price?
Public plans mean you know your per-document rate before the first sales call, and processing pauses instead of overrunning your budget.
Unstructured.io alternative questions
What buyers evaluating Unstructured alternatives ask most.
They solve different problems that happen to share the word "document". Unstructured is data infrastructure: it parses, chunks and embeds documents so GenAI systems can search them. MiruIQ is a document workflow platform: it extracts specific fields against a schema, validates them across documents, routes exceptions to human reviewers and delivers structured records to your business systems. If your endpoint is a vector store, use Unstructured; if it is your ERP, claims system or a signed-off business record, that is MiruIQ.
For platform teams feeding GenAI at scale: unbeatable file-type and connector breadth, FedRAMP High for US-government work, and honest per-page pricing. If you are building retrieval over millions of heterogeneous documents, that is their product. MiruIQ is not an ETL tool; it wins when documents must become validated, reviewed, delivered business data on European terms.
Unstructured's per-page pricing is transparent (a free monthly allowance, then $0.03 per page; Business is custom). MiruIQ prices per document on public plans; the difference is what the money buys: ETL into vector stores versus validated business records with review and delivery.
Usually it is not a migration but a split: RAG and lakehouse ingestion stays on data infrastructure, while document flows that must end in validated fields move to MiruIQ. Those flows are rebuilt as schemas plus pipelines, with human review where confidence is low. The trial is enough to prove the extraction side on your own documents.
Run your hardest documents through MiruIQ
The only comparison that matters is on your documents. Send us your five hardest (complex tables, mixed bundles, scanned mail) and see the extraction quality yourself.