Octupus Technologies needed to automate the review of hundreds of expert reports per month. Their customers spent up to a full workday manually analyzing expert reports, comparing KPIs, and validating data across multiple pages.
By integrating Invofox’s AI-powered document processing and combining it with their internal logic, Octupus built a robust and scalable workflow that performs extraction and enables calculations and comparisons in seconds — all embedded inside their Node.js environment.
Document analysis that previously took eight hours to review reports now takes under ten seconds, enabling their client to process up to 200 expert reports per month with speed, consistency, and minimal manual review.
Octupus Technologies is a Spanish consulting and software company focused on digital transformation through Odoo-based implementations. As trusted technology partners, the team works closely with clients to understand their needs and deliver customized solutions that simplify and standardize business operations.
As the leading Odoo partner in Madrid, Octupus goes beyond implementation alone, providing guidance, support, and training to help companies adopt software that can adapt and scale as their business evolves. In practice, this often means combining ERP platforms with additional technologies that address complex, real-world challenges their clients face.
In recent projects, Octupus has increasingly worked with document digitalization and AI-driven pattern detection, helping clients extract and interpret data from a variety of document types. One such project involved the automation of expert report analysis for a client that needed to review large volumes of complex documents on a recurring basis.
These expert reports often spanned multiple pages, required KPI comparison, and demanded precise validation. Manual review took hours, creating bottlenecks and limiting scalability. To deliver the speed and reliability their client required, Octupus needed a document processing platform capable of handling high-complexity documents while integrating seamlessly into their existing applications.
Before implementing Invofox, Octupus’s client spent around eight hours manually reviewing expert reports, making the analysis process slow and difficult to scale.
Reviewing these documents required manual inspection of PDFs, identification of KPIs, and validation of extracted information, all of which took significant time.
The team evaluated other OCR and AI tools, including Mindee, but found that these solutions were better suited to simpler use cases and offered limited human support for more complex projects.
For this project, accurate extraction and clear visibility into where key information appeared within each document were critical, since the extracted data fed directly into further analysis and calculations.
To meet their client’s needs, Octupus required a solution that could:
After evaluating alternatives, Octupus selected Invofox for three main reasons:
“Having a direct, accessible point of contact makes a huge difference. With Invofox, you feel supported.”
Sergio González Morales, CEO, Octupus Technologies
While other tools operated as pure SaaS with limited human support, Invofox’s collaborative approach, including direct communication with direct communication with a real, accessible team was a key differentiator.
Octupus tested Invofox across multiple real-world document types, including identity documents, invoices, and expert reports. From the initial tests through production use, the platform consistently delivered fast processing and reliable accuracy, even on complex documents with multiple fields and validation requirements.
Invofox’s ability to extract structured data quickly and feed it directly into Octupus’s own calculations and summaries was especially important. For projects where extracted data becomes the foundation for further analysis, speed alone was not enough — accuracy and consistency were critical. Invofox proved capable of supporting the fully analysis workflow without introducing instability or manual rework.
Michel and the technical team built a complete Node.js integration with queues, retries, and custom logic:
“We’ve practically completed a full Node.js integration with your tool. It’s a robust, scalable system relying on your backend.”
Michel Yanes, Project & Technical Leader, Octupus Technologies
Octupus’s client went from spending a full workday analyzing expert reports to receiving results almost instantly.
“They tested analyzing five or six reports in parallel, and in under ten seconds they already had results. The difference is enormous.”
Michel Yanes
Invofox now handles the extraction layer — the slowest part of the previous workflow — while Octupus adds business logic, calculations, comparisons, and summaries.
One of the wins was Octupus’s custom KPI coordinate mapping layer:
This gives end users clear visibility without manually reviewing PDFs.
With a robust, scalable integration in place, Octupus plans to continue using this architecture for future clients with advanced document processing needs.
Octupus highlighted the value of Invofox’s support and direct collaboration when working through complex use cases.
“When a project needs people behind it, it is necessary that they respond. That's why we chose you and now that we see results, we are planning future new possibilities”
Sergio González Morales
They also shared product feedback, particularly around document training and clearer documentation. In response, Invofox noted that a new Developer Portal with more complete documentation is about to launch.
With their current project already generating revenue and running in production, Octupus plans to:
As Sergio explained, the results have led Octupus to continue and potentially expand their partnership with Invofox:
“Invofox works very well — extremely fast, very accurate. We are planning to continue using it and possibly sign more contracts in the future.”
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