From the filing cabinet to a search by ID
From hours to seconds
A regulated institution that has to answer to its supervisory body goes from searching a declaration in archive boxes to finding it by ID in seconds, ready for an audit.
Artificial Intelligence · Document management
From paper to searchable data, in seconds.
OmniDocs reads documents with artificial intelligence, understands their content and extracts the data that matters. The team stops typing by hand and starts searching by ID, name or amount.
A product in operation, with its first deployment running in production.
Six stages for every document
The input is fed with documents that have already been scanned. The rest of the journey happens without anyone triggering it, and stops only when there is something a person has to resolve.
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Receive
Scans arrive in a shared folder. The system picks them up on its own, discards duplicates by file content and sets aside anything too poor to be read reliably.
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Prepare
Splits the pages, straightens the ones that came in rotated and tunes the image to the point where reading performs best.
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Recognize
Identifies which document it is among every configured type. No need to sort the piles before scanning.
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Extract
Artificial intelligence reads the fields defined for that type: names, ID numbers, amounts, dates.
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Validate
Checks every field against the document's own rules. Anything in doubt goes to review, never quietly accepted.
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Deliver
Seals the capture record, files the document in a long-term format and publishes it as searchable along with its data.
Figures from a real deployment
Measured on a two-page form in a live deployment, compared field by field against manual reading.
98.6%Correct fields
12 of 15Documents with not a single difference
22 sPer document, from folder to archive
190Documents per hour, per unit
Every document type is calibrated with real samples before going into production. The figures above belong to that case, not to a general promise.
More than scanning: it understands
The difference between a stored image and data that can be searched, reported and audited.
Built for real volumes
It goes beyond OCRIt understands the document's content, not just its image.
Data stays in-houseIt processes inside the organization itself: it complies with Ecuador's data protection law and removes the per-document cloud cost.
Adaptable to each organizationEach client defines its document types and the fields to extract; an isolated instance per company.
The last word is humanA person reviews and corrects whatever artificial intelligence flags as uncertain before the information is approved.
Three pieces, from scanner to search
All three run in the browser, with nothing to install on the workstations.
Operations portal
For the people doing the scanning. It shows live what came in, what went out and what is waiting, and it is where doubtful documents are reviewed and corrected, with the document image right beside them.
Administration console
Sets up document types, their fields and their rules, and watches the health of the service. We run it, and it has no access to document content.
Document search
Finds a document by any of its data, and reports which field matched. Viewing, download and reports by period, type and branch, with per-user permissions.
Privacy by design
Artificial intelligence works inside the institution
Processing happens on the institution's own infrastructure. Documents and the data they hold never travel to third-party cloud services, which reduces exposure under Ecuador's data protection law and fits the control requirements of the regulated sector.
Every document is filed with a digital fingerprint of its content, so that years later it can be proven that the file was never altered. Every correction is recorded with its author and date.
Data never leaves the organization.
Processing on in-house infrastructure
Integrity fingerprint per document
Traceability of every correction
Role-based access
Auditable operations
One instance per company
Built for those who live on paper
Any organization with a high volume of documents and archiving or compliance obligations.
- Savings and credit cooperatives
- Notaries and registries
- Public enterprises
- Hospitals and clinics
- Insurers
- Civil registry
It keeps itself running, and we keep watch
The organization's IT team does not inherit one more system to look after.
Updates without a site visitImprovements arrive on their own. The system finishes what it is processing before applying them, and rolls back to the previous version by itself if anything is off.
Keeps working when something failsTested by causing failures on purpose: zero documents lost and recovery with nobody stepping in.
Grows by adding capacityMore volume is handled by adding units, and a new document type is configured without installing anything on site.
Let's put those documents to work.
Tell us which documents the institution handles and how many per month. We reply fast, no forms.
- Data kept in-house (data protection law)
- 14 years in Ecuador
- 100% own technology