The Hyperscience alternativewithout the US-government price tag.
Hyperscience validates everything MiruIQ believes in (on-premise deployment and human-in-the-loop review) at US-enterprise and government scale. MiruIQ delivers the same architecture sized for European mid-market teams.
MiruIQ vs Hyperscience
Choose Hyperscience for US-enterprise and government programs where FedRAMP High, air-gapped deployments and a wall of analyst reports decide procurement. Choose MiruIQ for the same on-premise plus human-in-the-loop architecture without the enterprise-only wrapper: a self-serve trial, public pricing, onboarding in days instead of months, and a European compliance story (GDPR, Swiss hosting) instead of a US-federal one.
The honest comparison table
Facts a buyer can verify, not marketing adjectives. Both columns describe the products as they ship today.
| Dimension | MiruIQ | Hyperscience |
|---|---|---|
| Deployment options | Cloud, Swiss-hosted, on-premise or air-gapped, including the AI models, shipping today | Genuinely flexible: SaaS, private tenant, on-premises, air-gapped (FedRAMP High) |
| Human-in-the-loop review | Built-in verify step: documents park at review nodes, reviewer edits flow back into the pipeline | Human-in-the-Loop plus "AI-in-the-Loop", a headline capability |
| 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"). | Per-document-type models plus ORCA VLM zero-shot extraction; 99.5% accuracy claims |
| 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 | US-government lens: FedRAMP, TX-RAMP; no EU or Swiss regions named, English-only site |
| Local AI models | Yes: local LLMs on dedicated hardware, no US-cloud dependency | On-premises deployment exists; the compliance framing is US-federal, not European |
| Ownership & independence | Independent Swiss company; document processing is the whole product | Independent; deeply oriented toward US enterprise and public sector |
| Pricing transparency | Public monthly plans: divide plan price by document volume for your per-document rate | No pricing page at all: quote-only, highest-tier cost perception with months-long implementations |
| Best-fit segment | Mid-market and enterprise teams in regulated industries | US enterprise and government back offices: SSA, VA, major insurers and banks |
Who should choose what
No tool wins every scenario. This is our honest read of where each product is the right choice.
When Hyperscience is the better choice
You are a US federal or state agency where FedRAMP High and air-gapped deployment are the entry ticket; that is Hyperscience's home turf. You run back-office document volume at Social-Security scale, with the budget and timeline for an analyst-driven enterprise program. Handwriting-heavy forms at extreme accuracy targets matter more to you than time-to-value; their 99.5% claims are backed by specialized per-document models.
When MiruIQ is the better choice
You need the same architecture (on-premise, human review built in), but sized for a mid-market team: trial it today, compute the price, go live this month. Your compliance language is European: GDPR, Swiss data residency, local AI models, not FedRAMP, which means nothing to a Swiss insurer. You want to avoid the enterprise-only motion entirely: no gated demos, no months of implementation services before the first extracted document.
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, Hyperscience 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.
Hyperscience alternative questions
What buyers evaluating Hyperscience alternatives ask most.
That is exactly MiruIQ's slot. Hyperscience proved the architecture (on-premise deployment with human-in-the-loop review), but sells it through a US-enterprise motion: no pricing page, no trial, months of implementation. MiruIQ ships the same architectural pattern with public plans, a free trial and onboarding in days, aimed at regulated European mid-market teams.
For US government and Fortune-500 back offices: FedRAMP High, air-gapped options, specialized handwriting models and six analyst firms on the homepage are exactly what that procurement needs. If you are a European team without a federal compliance mandate, you are paying, in money and months, for accreditation you cannot use.
Hyperscience has no pricing page; buying it means enterprise quoting with a months-long implementation attached. MiruIQ's plans are public and onboarding is measured in days: trial, schemas, pipeline, go-live.
Migration is lighter than the original implementation was: no per-document-type model training, just schema definitions plus pipeline configuration. Human-in-the-loop review carries over conceptually one to one, since MiruIQ ships a reviewer queue as standard. Most teams pilot one back-office document flow in the trial before widening.
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.