Every established business creates data.

Years of customer interactions, transactions, communications, workflows, operational decisions, product activity, support records, images, video, audio and industry-specific information can create something increasingly valuable to the AI economy:

Proprietary data that cannot be easily recreated.

ODIGOS helps established companies identify, evaluate, prepare and monetize qualifying proprietary datasets through AI companies, technology platforms and strategic data buyers.

You built the business.
You created the data.
We help determine what it may be worth.

[ REQUEST A CONFIDENTIAL DATA ASSESSMENT ]

No data transfer is required for an initial assessment.

THE HIDDEN ASSET

AI companies need something the public internet cannot provide.

The first generation of AI benefited enormously from publicly available information.

Increasingly sophisticated models require something different:

Specialized data.
Private data.
Expert data.
Real-world data.
Industry-specific data.
Operational data.

For the right company, information accumulated through years of normal business operations may have commercial value for model training, evaluation, fine-tuning, benchmarking, simulation, retrieval and product development.

But having data does not automatically make it valuable.

The question is whether you possess the right data, with the right rights, for the right buyer and use case.

That is where ODIGOS comes in.

WHAT COULD YOUR DATA BE WORTH?

Buyers pay for information they cannot easily recreate.

Data value is determined by much more than file size.

We evaluate:

Uniqueness & Scarcity
Can the information be obtained elsewhere?

Scale & Historical Depth
How much exists, and how many years of operating history does it represent?

Quality & Consistency
Is the information accurate, usable and sufficiently documented?

Specialization
Does it capture a valuable industry, workflow, behavior or area of expertise?

Structure & Context
Can a buyer understand what happened, why it happened and what the outcome was?

Refresh Potential
Is this a historical archive or an asset that continues generating new information?

Rights & Permitted Use
Does the company have the necessary rights to pursue the contemplated transaction?

Difficulty of Recreation
How much time, capital, access or expertise would another organization need to recreate it?

Buyer Demand
Is there an actual commercial use case for the dataset today?

The strongest opportunities sit at the intersection of scarcity, utility, scale, rights and demand.

DATA CAN EXIST ALMOST ANYWHERE

Customer & Commerce

Purchasing behavior
Transactions
Product interactions
Search and conversion activity
Customer lifecycle information
Aggregated behavioral data

Communications & Support

Customer service interactions
Support tickets
Call archives
Transcripts
Professional communications
Domain-specific conversations

Business Operations

Internal workflows
Processes and procedures
Project histories
Quality-control records
Operational decisions
Performance information

Documents & Knowledge

Technical documentation
Reports
Research
Industry-specific records
Annotations
Historical archives

Images, Video & Audio

Product imagery
Inspection imagery
Professional video
Specialized recordings
Voice interactions
Annotated media

Specialized Industry Data

Hospitality
Real estate
Construction
E-commerce
Retail
Manufacturing
Logistics
Financial services
Healthcare
Professional services
Technology

Sometimes the most valuable dataset is something management has never considered a dataset.

THE ODIGOS PROCESS

From unknown asset to commercial transaction.

01 | DISCOVER

We begin with a structured conversation about how your business operates and what information it has accumulated.

We look at systems, categories, formats, approximate volume, historical depth, collection methods, operating context and refresh frequency.

No full data export is required.

02 | ASSESS

We identify which datasets may warrant commercialization and which should not move forward.

We evaluate differentiation, scarcity, usability, scale, rights, potential applications, available substitutes and buyer demand.

The objective is to qualify early before unnecessary time or information is exposed.

03 | POSITION

We convert internal information into a commercial data opportunity sophisticated counterparties can evaluate.

That can include:

Dataset overview
Data dictionaries
Coverage summaries
Historical depth
Quality characteristics
Provenance
Potential AI applications
Known restrictions
Synthetic or representative examples
Proposed transaction structure

04 | MATCH

ODIGOS identifies qualified AI, technology and strategic counterparties whose current requirements align with the asset.

We do not indiscriminately distribute opportunities.

The objective is to put the right asset in front of the right buyer.

05 | PREPARE

Once legitimate buyer interest exists, the technical process begins.

Where authorized and appropriate, data can be extracted, organized, standardized, redacted, de-identified or anonymized based on the approved use case and transaction requirements.

The purpose is to make the information technically useful while protecting information that does not need to be disclosed.

06 | TRANSACT

ODIGOS coordinates the commercial process from buyer diligence through definitive terms, approved delivery, acceptance and payment.

Potential structures may include:

Limited licenses
Field-of-use licenses
Time-limited access
Recurring subscriptions
Ongoing data feeds
Usage-based arrangements
Strategic data partnerships
Asset transactions

PRIVACY BY DESIGN

Monetizing data does not mean giving away your database.

This distinction is critical.

AI companies are seeking information their models can learn from.

That does not mean a prospective buyer should automatically receive customer identities, employee information, confidential fields or unrestricted access to a company’s systems.

ODIGOS favors a staged disclosure process.

Stage 1
High-level dataset description and aggregate information.

Stage 2
Confidentiality and buyer qualification.

Stage 3
Redacted, synthetic or representative samples where appropriate.

Stage 4
Controlled technical diligence.

Stage 5
Only the access and information authorized under the final transaction.

Depending on the dataset and permitted use, appropriate privacy and security measures can include redaction, aggregation, de-identification, anonymization, encryption, controlled access, retention requirements and contractual use restrictions.

Your data remains an asset to control.

WHO WE WORK WITH

Built for companies with meaningful operating history.

The strongest candidates are generally established organizations that have accumulated proprietary information over years of doing business.

Particularly compelling companies often have:

5+ years of operating history

Meaningful employee and operational scale

Large historical datasets

Continuously generated information

Specialized workflows or expertise

Significant customer or transaction history

Information that would be expensive or time-consuming to recreate

Company size is only one factor.

A smaller organization with highly specialized or unusually scarce information can be more valuable than a significantly larger organization with readily available data.

THE BUYER LENS

Buyers don’t pay simply because data exists.

They pay for advantage.

A sophisticated buyer is asking:

Can this information improve a model?

Can it teach something unavailable in public datasets?

Does it contain meaningful real-world context?

Is there enough of it?

Is it reliable?

Can it be legally and commercially used?

Can sensitive information be appropriately protected?

Can the dataset continue growing?

Would recreating it independently be difficult or expensive?

ODIGOS prepares opportunities around those questions before they reach the market.

WHY ODIGOS

Data monetization is a transaction, not a file transfer.

Creating value requires aligning several pieces:

The right asset
The right use case
The right buyer
The right positioning
The right technical preparation
The right commercial structure
The right privacy framework
The right transaction execution

ODIGOS manages that intersection.

Our role is to represent the data owner commercially, identify qualified opportunities, prepare them correctly, coordinate specialized technical resources and move credible transactions toward closing.

Your management team remains focused on operating the business.

ODIGOS manages the monetization process around it.

ALIGNED ECONOMICS

We win when you win.

For qualifying engagements, ODIGOS can structure compensation primarily around successful outcomes.

Our objective is straightforward:

Identify the strongest opportunity.

Create qualified buyer interest.

Maximize transaction value.

Protect the company’s position.

Get the transaction completed.

Specific economics and transaction terms are established in writing before substantive work begins.

No dataset valuation, buyer acceptance or completed transaction is guaranteed.

START WITH A CONVERSATION

Not a data transfer.

You don’t need to know whether your company’s data is valuable.

You don’t need to organize every system before speaking with us.

You don’t need to send us customer records to find out.

We start with six questions:

What does your company do?

How long have you operated?

How large is the organization?

What systems does the business use?

What proprietary information has accumulated?

What would be difficult for another organization to recreate?

From there, ODIGOS determines whether the opportunity warrants a deeper assessment.

YOUR COMPANY SPENT YEARS CREATING THE DATA.

Now determine whether the market will pay for access to it.

[ REQUEST A CONFIDENTIAL DATA ASSESSMENT ]

ODIGOS

Data Asset Advisory & Monetization
AI Strategy | Capital | Strategic Advisory

Potential opportunities are subject to ownership and contractual rights, privacy and security requirements, applicable law, buyer diligence, technical suitability and market demand. ODIGOS does not guarantee buyer acceptance, transaction value or successful monetization.