ordestra.com

What It Is

Ordestra is a scientific-paper evidence summarization tool under Daliah Group B.V. It is positioned not as a generic “summarize this PDF” product, but as a system that converts papers into structured summaries, transcripts, and optional audio governed by evidence rules. After users upload a scientific publication, the system checks the license, verifies retraction status, extracts structured evidence, and generates outputs with a Confidence Pulse, compliance badges, and citation anchors.

Core Capabilities

Its key differentiator is the principle that “study design determines the language.” For example, observational studies can only produce associative wording, while controlled experiments may support causal language, helping prevent AI from overstating the level of evidence. Each output runs through 10 compliance checks, including 9 deterministic rules and 1 LLM consistency check, covering claim level, attribution, do-not-say rules, and more. The output also emphasizes that every statement can be traced back to structured evidence in the paper. Audio is another distinctive feature, useful for commuting, pre-meeting preparation, and quickly deciding whether a paper is worth reading in depth.

Pricing and Trial

Ordestra uses a credits-based subscription model. The free tier includes 3 one-time credits and does not require a credit card, but is mainly suitable for trying 90-second summaries. Starter costs €19/month, Plus €49/month, Pro €99/month, and Team €299/month; Plus and Pro offer 50% off the first month on monthly billing, while annual billing saves 10%. Credits do not roll over. Generating a text script costs 1 credit, and audio consumes additional credits based on length. Payments are processed by Stripe, and prices exclude applicable VAT.

Pros and Cons

Its strengths are clear evidence boundaries, auditability, and suitability for research and compliance-sensitive scenarios. Audio summaries also expand the ways users can consume papers. The platform also states that uploaded content is not used to train models, and persistent data is processed and stored in the EU. Its limitations are that it does not independently verify the authenticity of papers, and AI outputs may still contain errors, omissions, or misinterpretations, so they should not be used as the sole basis for medical, regulatory, or treatment decisions. API and SSO access require enterprise contact, and there is limited public information on integrations. Chinese-language support is not specified.

Who It’s For and Access from China

Ordestra is suitable for researchers, medical/scientific affairs teams, academic authors, and policy or economic analysts, particularly for literature screening, evidence briefings, and internal knowledge sharing. The collected text does not specify access status from mainland China. Payments use Stripe, so users in China may face foreign-currency payment issues or network uncertainty. If Chinese paper processing or localized compliance workflows are required, it is best to test the actual results with the free credits first.