CoreTechX.

Digitize your archival documents and turn them into continuously accessible data. It should not take hours either to digitize a document or to reach a piece of information inside it that is actually useful for your work. We built CORETECHX precisely to solve this problem.

Today, the speed of data production has reached a very advanced point. Archive systems, however, have not made the same leap. As a result, access to the most critical data is still slow, and even in the most organized archives there are still significant losses of time. Even in digitized archives, reaching the right information quickly and keeping data in usable formats remains a serious problem.

CORETECHX is not just an archive application. It is a multilayered platform designed to produce an end-to-end solution for archives that cannot truly become digital.

At the first stage, it enables you to digitize your documents. In doing so, it uses our COREOCR model, which we developed with substantial engineering effort behind the scenes. This model delivers SOTA-level performance especially on Arabic handwriting, while in other languages it also performs clearly above market standards.

You upload your document, and within seconds COREOCR resolves the content of the document and turns it into an editable digital text. From that point on, what remains for you is to review the content and make final edits if needed. To make this as comfortable as possible, we designed a modern editing interface by taking into account the shortcomings of current transcription and labeling tools. Make your edits, approve your file, and within minutes you will have turned your handwritten document into usable digital data.

The work does not end there. We did not design CORETECHX as a structure that merely digitizes documents; we developed it as a system that solves end-to-end problems related to archives.

The moment you approve your file, the document is vectorized in the background. In this process, the content passes through intelligent chunking and intelligent structuring stages. This means your document stops being a file that is simply stored and becomes a structured and accessible data object. From that point on, you do not access your document through old-style filtering methods, but through CORECHAT.

CORECHAT is not a chat layer added on top of the archive after the fact; it is an access layer that genuinely works from inside the archive. Documents are first transformed into a structural, traceable knowledge base with preserved integrity, and then a natural-language retrieval layer operates on top of that base. As a result, the user is not merely searching; they can ask questions, establish meaningful links across contents, synthesize findings, and extract insight directly from the document itself. The basis of this approach is retrieval-augmented generation, which does not leave knowledge to the model’s memory but pulls it from the archive when needed and incorporates it into answer generation.

The real difference in this structure is that it does not remain in a single-step “take the question and give the answer” flow. When necessary, CORECHAT decomposes the query, reformulates it, creates subtasks such as comparison or summarization, and if the available evidence is not sufficient, it runs the retrieval process again. The goal here is not merely to produce a fast answer, but to make that answer truly grounded, organized, and reliable. For this reason, the structure is built on principles of agentic behavior, retrieval-grounded reasoning, and, when necessary, iterative evidence collection.

Another critical aspect is this: CORECHAT does not leave the answer hanging in the air. The generated content rests on referenced passages and evidentiary links back to the original source; in other words, the system is not just a speaking interface, but also a verifiable information flow. In this way, the archive stops being a passive repository and becomes an active, explainable, and verifiable source of truth. The structure that preserves multi-turn interaction, carries context throughout the session, and prioritizes correctness at every step is what defines the actual character of CORECHAT.

CORETECHX does not stop with these layers. There are also many additional features, both in the digitization process and in the layers that make data easier to use afterward. Let us talk about those as well.

Template system

For some documents, the job is not done once they are digitized. The real need is to extract meaningful and structured data from long and disorganized content. We developed the template system precisely for this.

You create a record for the type of data you need; we call this a template. If you wish, you can also attach to this structure a DOCX schema that defines the fields through which the data can be exported as a DOCX document. For more detailed information, see the template blog; even an iframe example can be placed here.

Later, during the editing stage of your file, you select this template from the interface. With AI support, the system extracts the data structure you want from long and unstructured content. As a result, within seconds you obtain meaningful, compact, and ready-to-use information from raw content.

Relation map

We mentioned that your approved files are recorded in the background on a vector plane. Relation map is the visualized form of this structure. In this way, you do not only see the individual records of your files, but also the network of semantic relationships they establish with one another.

When you enter the map of a file, you can examine in detail the other documents it is semantically connected to, the clusters through which those relationships are formed, and the keywords from which they are fed at the content level. In other words, documents that previously existed physically or in scattered form do not merely become digitized; they become a data structure that takes its place on a meaningful semantic plane according to its content and can speak to other documents.

Enterprise features

The moment you register with CORETECHX, an organizational structure is created for you. Your data remains private to you within this structure. Within the organization, you can open multiple workspaces and manage each workspace separately with its own data. This makes it possible to separate different teams, projects, or operational areas under one structure but in a controlled way.

You can invite members into your workspaces. These members can access only the documents within the areas they are included in and can interact only within those boundaries. On the invitation and authorization side, we also built a more flexible structure: you can define roles for your members consisting of different permissions and clearly determine what they can do in which parts of the system.

In addition, we offer organization-specific branding and theme customization. In this way, COREAPP stops being just a product you use and becomes a work environment that adapts to your own structure.

SSO and customized domain system

As soon as you join the system, CORETECHX generates a subdomain for you. This structure allows your organization’s application to run in a dedicated space. If you wish, you can move it to your own custom domain and access the application directly through your own domain.

On the SSO side, you can connect the providers supported by the system to your own identity infrastructure. This allows you to shape the login flow according to your own security and access policies. Data privacy and protection are not additional features for us; they are among the most fundamental parts of the structure.

Security and data protection

When designing CORETECHX, we approached security not as a separate item but as a foundational principle distributed across the entire system. Data is processed within the system under an end-to-end protection approach, and access layers are shaped according to that sensitivity. We use a JWT-based authentication structure. In addition, we address access security in a multilayered way through session validation, organization membership checks, and workspace membership checks.

The organization-, workspace-, and role-based authorization system is also one of the important parts of this structure. Each user gains visibility only within the areas they belong to; which data they can access and which actions they can take within the system are clearly defined through role definitions. This structure preserves data isolation while allowing teams to work securely within their own boundaries. In short, in COREAPP security is not a protection layer added afterward; it is a principle embedded directly into the system architecture.

Notification system

We also added in-app, e-mail, and push notification features. This way, you do not need to spend extra effort tracking what is happening in the system; important developments reach you directly.

Global search

To provide fast access to all data within the organization, we built a search structure that spans the entire system. You can quickly reach your templates, members, documents, and CORECHAT contents from a single point.

Integrations

We did not want CORETECHX to be a system disconnected from the outside world. For this reason, we also added third-party integrations that you can connect to the application depending on your organizational or individual use.

You can integrate Drive and access your files, or connect Slack and carry your notification flow into your own working routine. The integration side will continue to grow; our goal is to make all external services you will need over time a natural part of this structure.

When all these layers come together, what emerges is CORETECHX. This means you no longer need a separate process for digitization, a separate service for storing data, and a completely different structure for extracting useful information from that data. We built CORETECHX as the thing that brings all of these fragmented needs together in a single environment.

More than that, the entire structure described here can also be deployed on-prem on your own servers upon request. This means the entire system, including the models, can run on your own infrastructure, in your own locality. Your data does not leave your environment; both control and ownership remain entirely with you.

Thanks

We thank NVIDIA, Microsoft, Google, and all of our other partners who worked with us while developing this application. We continue to work to build a better product and to produce stronger solutions for real needs.

Conclusion and future

CORETECHX, with all of its layers and features, is becoming more mature, more optimized, and more powerful every day. We continue to add the features that will truly be needed in this structure, that will create new value, and to continuously move the system forward. Our goal is not only to preserve what already exists, but to make everything we build better and to keep pushing the standards of this field upward.

For more information about CORETECHX, visit our website: https://www.coretechx.ai/