Datamam: Transforming Chaotic Data into a Strategic Business Tool

In today's digital landscape, information is among the most valuable assets a business can have. Yet for many companies, acquiring and systematizing data remains a major challenge. To address this gap, Datamam was founded — a data infrastructure company that helps businesses transform fragmented digital information into structured, actionable intelligence for better decision-making.

The company is led by Sandro Shubladze – Forbes Georgia's "30 Under 30" honoree, and a former member of the Forbes Technology Council, whose vision has transformed Datamam into a reliable global partner for data infrastructure.

Entrepreneur spoke with Sandro Shubladze about Datamam's services and future goals.

"The first steps of our journey were covered by Entrepreneur a decade ago," – Shubladze tells us. "At that time, our vision for how technology could create value was still evolving. Experience came to show us that the core value in the tech sector is tied directly to data. The creation, acquisition and analysis of data are the primary keys to success in the modern era. The idea for Datamam was born from the reality that companies either lacked access to critically important external data, or attempted to obtain it manually, unsystematically, and with significant delays. We build large-scale data infrastructure that continuously collects signals from the internet, public sources, and digital platforms; transforming them into structured datasets ready for business intelligence and AI systems."

While Datamam started out gathering and processing external data, the company's services today extend across nearly every stage of the data intelligence lifecycle: Data Acquisition & Enrichment (web scraping, crawling); Data Consulting & Compliance; Data Engineering (cleaning, normalization, integration); Websites-into-API; Market Analytics & Research (competitor benchmarking, industry trends); Enterprise-scale solutions (dashboards, ETL platforms); and AI/ML directions (custom AI models, synthetic data).

Datamam helps companies transform chaotic data into clarity and competitive advantage. Operating as a global data infrastructure partner, the company offers more than just information collection; it structures data into AI-ready information – meaning it is prepared for direct integration into artificial intelligence systems.

Datamam's services are designed for organizations with a high level of Data Maturity that need external data for business decision-making. As Shubladze explains, priority sectors include Finance & Fintech (banks, insurance, and leasing companies), Commerce & Industry (e-commerce, real estate, automotive), and digital platforms.

"Within organizations, our primary partners are decision-makers and teams whose work is directly linked to data analysis: risks and underwriting teams, strategy and product heads, and data/BI and marketing leaders," – he says. "Our customers share a common goal: a decision-making process based on reliable, systematized data, rather than intuition or fragmented information. We ensure data accuracy and speed of delivery, which directly boosts business efficiency."

As Shubladze notes, data within companies is often fragmented across multiple internal systems and external sources. This means that critical business information is scattered across various, unrelated sources, including external resources (websites, media) and internal systems (CRM, spreadsheets). The main difficulty is that these sources use different formats, update at different frequencies, and don't show the full picture.

"In practice, this creates significant obstacles for a business," – he says, noting that this manifests in several stages:

Manual Labor: Teams must manually search for data and transfer it into spreadsheets;

Information Chaos: When merging data from different departments, logical connections are lost and errors appear;

Loss of Dynamics: It is difficult to determine when and how a competitor's price or terms have changed.

"In such an environment, business decisions are based on subjective impressions – 'what we remember' or 'what we saw last' – rather than the full picture," – Shubladze says. "This directly impacts pricing strategy, risk management and competitive positioning. Our software solutions integrate these diverse channels, forming a complete picture and accelerating management workflow."

To better illustrate the practical results of Datamam's work, Entrepreneur asked about specific cases where the company's technology shifted a business agenda. Although client identities are strictly protected by Non-Disclosure Agreements (NDAs), their experience reveals the true scale of Datamam's services.

"Datamam operates as a data infrastructure company. Rather than producing static reports, the company develops software systems that continuously collect, structure, and deliver external data directly into enterprise analytics and AI environments. Our advantage lies specifically in developing software solutions that provide automated data extraction and structuring," – Shubladze tells us.

A few standout cases demonstrate those successful collaborations:

• International Law Firm: A major international player needed to monitor competitor activity. Datamam transformed dozens of dynamic websites into a single, structured database. The system identified transactions worth over $1M and the law firms involved, in real-time, allowing the client's Business Development team to pinpoint free niches in the market.

• Real Estate: The main problem here was fragmented information across various platforms. The system created by Datamam, which aggregated listings daily and utilized Smart Alerts, reduced property search time by 60%. The results were impressive: within the first 90 days of collaboration, the company closed approximately 60 high-value deals.

• AI Research Company: When an organization required a massive code dataset to train artificial intelligence models, Datamam delivered a large-scale, compliant dataset, sourced and processed in accordance with industry standards, and enriched through automated cleaning and classification pipelines. This significantly accelerated the pre-training phase, as the team no longer had to spend time data scrubbing.

Market analysis often reveals that despite technological progress, many organizations still make fundamental mistakes when working with data. Sandro Shubladze believes the main problem is a primitive approach to the data acquisition process. In his view, data is not static information, but a "living technological infrastructure."

The founder of Datamam highlights several key flaws that significantly hinder business efficiency:

The "Manual Labor" Trap: Many companies still rely on the mechanical labor of analysts for data collection. He considers this a waste of resources: "A human should use data, not collect it," he says.

Structural Chaos: Most organizations struggle to normalize information received from various sources. Datamam's system solves this by placing information into a Unified Schema.

Legal and Ethical Vacuum: Companies often resort to so-called "black hat" methods, which involve legal risks. "Datamam's core principle is responsible, compliant data architecture, aligned with global standards: we work in full compliance with the standards of ethical intelligence," – explains the founder.

Static Reporting: In a dynamic market, a one-time study quickly loses relevance. Therefore, Datamam's automatically updated reports allow the client to follow the market in real-time.

Shubladze summarizes the company's philosophy with a simple formula: "Our goal is to remove the technical burden from companies and provide clean material for strategic decisions. Datamam builds a data machine."

We ask him to spotlight the benefits businesses gain through a partnership with Datamam.

"The main value of collaborating with us is expressed not just in providing data, but in three main strategic directions that give a company a decisive advantage in a competitive market," – he says.

"Accelerated 'Time-to-Insight': The speed of obtaining information is crucial today. Our automated systems ensure a continuous flow of data, allowing for an instantaneous response to market changes.

"Operational Expenditure (OPEX) Optimization: Managing data with internal resources is often very expensive. With Datamam's help, a company no longer needs to invest in data collection teams, or in the maintenance of expensive scraping infrastructure.

"High-Quality Structured Data: We provide companies with validated information. The data undergoes rigorous validation and is ready for training AI models, without any additional processing."

The most objective indicator of any company's success is its customer feedback and reputation on international platforms. In Datamam's case, the ratings speak for its quality of service: the company has consistently held a maximum 5.0/5.0 rating on prestigious global platforms, such as G2, Gartner Peer Insights, and Clutch.

As Shubladze notes, partners particularly appreciate their operational speed and accuracy: "The primary measure of our work is customer satisfaction. Our partners highlight our responsiveness – the fact that our team has the ability to adapt systems to website changes within just a few hours."

According to client evaluations, collaboration with Datamam has reduced the time spent on market research by 50%. Shubladze also emphasizes that their service changes the culture of decision-making, allowing companies to answer questions with exact numbers rather than subjective assumptions.

"This transformation is best described in the words of one of our partners: 'The blurred picture of the market has been transformed into a unified, structured view that has been directly integrated into our strategy'," – Shubladze says.

Behind technological solutions, there are always people. The key to Datamam's success lies in the professionalism of its data engineers and industry experts. Shubladze believes that his team's main advantage is the ability to translate complex code into business logic.

"Our uniqueness lies in the fact that we are not just coding specialists: we know how to turn complex information into business logic. A Datamam product is not just a 'data file' – it is powerful software for decision-making."

The company's philosophy is significantly defined by the founder's own diverse experience. Shubladze's background combines software engineering and financial audit, which is directly reflected in the quality of Datamam's products. He received his education at the Georgian Technical University, and his career path formed the approach the company relies on today: built on the idea that information must be accurate, structured, and perfect.

Shubladze's work includes significant and successful international projects – he was a member of the Forbes Technology Council, and was named among Forbes Georgia's "30 Under 30" winners in 2025. Today, he says, his main mission is to give leaders the opportunity to transform chaotic information into a real competitive advantage.

Datamam's future strategy is ambitious, seeing the company continuing to strengthen its position in the global market, with a focus on several strategic directions at once:

• International Scaling: Datamam is expanding its presence in complex sectors such as Deep Tech, Healthcare and Financial Arbitration;

• Living Infrastructure: Datamam is enhancing its Managed Data Feed system to provide businesses with a live, continuous stream of information instead of static reports;

• Technological Integration: Advancing platforms that will erase any barriers between public data and the client's internal systems.

As a pioneer in responsible data infrastructure, Datamam is setting new global standards for transparent and compliant data acquisition.

"Today, Datamam operates large-scale data infrastructure that processes billions of external data signals each month through thousands of automated pipelines used by companies across multiple industries," – Shubladze notes. "Our ultimate goal is for Datamam to become synonymous with reliable, structured data infrastructure that companies can trust for strategic decisions."