Enterprise data matching

Stop letting inconsistent data undermine your business. Our platform, engineered for the scale and complexity of corporate systems, delivers the single source of truth you need to power digital transformation, drive post-merger (M&A) integration, and fuel trusted AI.

Guaranteed data delivery

Predictable subscription model

Easy integration with your stack

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Unlock the power of data

We scrape data from over 5 000 sources

CHALLENGES

Does your organization truly control its data?

At the enterprise scale, "bad data" isn't about spreadsheet errors. It's about millions in operational waste, lost revenue opportunities, and escalating regulatory risk. If you're facing these challenges, you're not alone:

Painful M&A Integrations

Instead of realizing synergies, you're inheriting data chaos. Combining customer, product, and supplier data from an acquired company takes years, delaying ROI and creating a tangled mess for your IT teams.

Untrustworthy Analytics & AI

Your most expensive data scientists are spending 80% of their time cleaning data instead of building models. Your AI initiatives are failing to deliver because they're built on a foundation of duplicate, conflicting information, undermining business trust in your entire data strategy.

Fragmented Customer Experience

Your marketing team sends a "welcome" offer to a 10-year loyal customer because their email doesn't match their store ID. This erodes trust, makes personalization impossible, and sends your best customers directly to competitors who know them better.

Escalating Compliance & Regulatory Risk

Without a single view of each customer, you can't confidently comply with regulations like GDPR, CCPA, or AML. This exposes your organization to multi-million dollar fines and significant reputational damage.

Hidden Supply Chain Inefficiencies

You’re overpaying for raw materials because you can't see that "ACME Inc." and "Acme Corporation" are the same supplier, preventing you from leveraging your full purchasing power. This data disconnect leads to production delays and inflated operational costs.

Wasted Sales & Marketing Spend

Your sales reps are wasting valuable time arguing over lead ownership and manually cleaning their contact lists instead of selling. Meanwhile, your marketing budget is being spent on duplicate campaigns targeting the same person through different channels.

Stalled Master Data Management (MDM) Initiatives

Your expensive, multi-year MDM project has failed to deliver its promised value. The project stalled because traditional, rule-based matching tools couldn't handle the complexity and scale of your data, leaving you with a costly platform that nobody trusts.

Pervasive Operational Drag

Countless hours are lost across every department as employees manually verify information, reconcile conflicting reports, and create workarounds for broken data processes. This hidden "data tax" kills productivity and demoralizes your most valuable talent.

Painful M&A Integrations

Instead of realizing synergies, you're inheriting data chaos. Combining customer, product, and supplier data from an acquired company takes years, delaying ROI and creating a tangled mess for your IT teams.

Untrustworthy Analytics & AI

Your most expensive data scientists are spending 80% of their time cleaning data instead of building models. Your AI initiatives are failing to deliver because they're built on a foundation of duplicate, conflicting information, undermining business trust in your entire data strategy.

Fragmented Customer Experience

Your marketing team sends a "welcome" offer to a 10-year loyal customer because their email doesn't match their store ID. This erodes trust, makes personalization impossible, and sends your best customers directly to competitors who know them better.

Escalating Compliance & Regulatory Risk

Without a single view of each customer, you can't confidently comply with regulations like GDPR, CCPA, or AML. This exposes your organization to multi-million dollar fines and significant reputational damage.

Hidden Supply Chain Inefficiencies

You’re overpaying for raw materials because you can't see that "ACME Inc." and "Acme Corporation" are the same supplier, preventing you from leveraging your full purchasing power. This data disconnect leads to production delays and inflated operational costs.

Wasted Sales & Marketing Spend

Your sales reps are wasting valuable time arguing over lead ownership and manually cleaning their contact lists instead of selling. Meanwhile, your marketing budget is being spent on duplicate campaigns targeting the same person through different channels.

Stalled Master Data Management (MDM) Initiatives

Your expensive, multi-year MDM project has failed to deliver its promised value. The project stalled because traditional, rule-based matching tools couldn't handle the complexity and scale of your data, leaving you with a costly platform that nobody trusts.

Pervasive Operational Drag

Countless hours are lost across every department as employees manually verify information, reconcile conflicting reports, and create workarounds for broken data processes. This hidden "data tax" kills productivity and demoralizes your most valuable talent.

INDUSTRIES

Actionable intelligence, engineered for your industry

A generic data feed is useless when market dynamics are measured in minutes, not days. The KPIs for an airline's revenue manager are fundamentally different from a grocer's supply chain analyst. We've engineered our platform to deliver clean, structured, and timely data that solves the unique operational challenges of your industry, turning external data from a liability into your most valuable strategic asset.

PROBLEM

Your pricing and promotions are reacting to stale market data.

Instead of proactively optimizing for demand, your team is fighting yesterday's pricing wars. By the time you get data on a competitor's promotion or a surge in local demand (like a concert or sports game), the opportunity to maximize revenue and order volume is already lost. This operational lag directly impacts your market share and profitability per order.

SOLUTION

A live, granular feed of competitive and market intelligence.

We deliver real-time, structured data on competitor pricing, active promotions, restaurant availability, and local demand signals directly to your systems. Free your team from manual data gathering and empower your pricing algorithms to make smarter, more profitable decisions instantly.

Don't see your industry?

It doesn't matter. Our core data methodology is designed to be industry-agnostic. We tailor every solution to your unique business rules, data sources, and strategic goals. The fundamental challenge is always the data, and that's what we solve.

Don't see your industry?

It doesn't matter. Our core data methodology is designed to be industry-agnostic. We tailor every solution to your unique business rules, data sources, and strategic goals. The fundamental challenge is always the data, and that's what we solve.

USE CASES

Explore our capabilities across industries, and teams

Filter success stories by vertical, use case, or department to find the scenarios that match your needs. Learn how enterprises leverage our custom scraping, matching, and infrastructure to solve their toughest data problems.

SOLUTIONS

The platform built to perform in the world's most demanding IT environments

Our Enterprise Data Matching solution is more than a tool - it's a strategic platform that brings order and intelligence to your entire data ecosystem. It was designed from the ground up on three pillars of enterprise requirements: Unmatched Scale, Unwavering Precision, and Uncompromising Governance.

01
Match and merge billions of records from hundreds of sources with zero performance trade-offs. Our cloud-native architecture scales elastically with your needs, supporting both massive batch workloads and real-time streaming data.
02
Go beyond simple fuzzy logic. Our sophisticated AI models understand the business context of your data entities (customers, products, financials), delivering >99% accuracy and minimizing the need for manual stewardship.
03
Cut implementation time from months to weeks with pre-built connectors for SAP, Oracle, Salesforce, Microsoft Dynamics, and major big data platforms. Our open API ensures easy integration with any custom or legacy system.
04
Meet the strictest regulatory demands (GDPR, CCPA). We provide end-to-end data lineage, transparent audit trails, and granular access controls to ensure your most critical data assets are always secure and compliant.
05
Empower data stewards and business analysts through an intuitive, collaborative interface. Define rules, manage workflows, and resolve conflicts in a central hub, fostering a data-driven culture across the organization.

SECURITY

Enterprise-grade security and compliance

Your trust is our priority. We operate within a strict security and legal framework.

Compliant with Supervision

Authority cloud requirements

Qualified outsourcing partner

under strict regulations

Data Security Management

ISO/IEC 27001

Certifications

The platform is compliant with ISO 27001 standards.

GDPR Compliance

We act as a data processor. We provide a ready-to-sign Data Processing Agreement (DPA).

Data Locality

You have the ability to choose the data processing region (e.g., EU: Frankfurt, USA: Virginia).

Data Encryption

Full end-to-end encryption (TLS 1.3) and encryption of data at rest (AES-256).

Retention Policy

Your data is automatically and permanently deleted from our servers immediately after processing is complete.

Our tailored scraping and data enrichment services allowed this Central and Eastern European qCommerce company to access critical competitor and market information. This facilitated informed decision-making and enabled them to refine their strategies, ultimately leading to accelerated growth and an enhanced competitive edge.

qCommerce

CEE Leader

We provided this Central and Eastern European online grocery company with extensive scraping services, which allowed them to gather essential pricing and product data from competitors. This information helped them create a dynamic pricing strategy, resulting in increased sales and a stronger market presence.

Online Grocery

CEE Leader

By leveraging our scraping services, this European ticket online sales company gained access to critical event and pricing data. This enabled them to refine their offerings, provide a more seamless user experience, and ultimately grow their market share in the competitive ticketing industry.

Online Ticketing

European Leader

By utilizing our comprehensive scraping services, this major European food delivery company gained access to valuable, real-time restaurant and menu data. This enabled them to optimize their platform and improve the user experience, resulting in increased customer satisfaction and revenue growth.

Food Delivery

European leader

FAQ

Frequently Asked Questions

We understand that choosing a data partner is a critical decision that involves stakeholders from across your organization. To help your teams find the information they need, we have organized our most frequently asked questions into key categories.

The primary goal of our service is to provide you with a clean, deduplicated, and unified dataset - a single source of truth, without you having to manage the process. We take your disparate data sources and deliver an actionable, consolidated output, allowing you to build a reliable 360-degree view of your customers, partners, or products.
The key difference is "outcome vs. tool." With an off-the-shelf engine, you are buying a tool that your team must still configure, manage, and operate. You bear the costs of implementation, specialist staff, and ongoing quality control.

With our service, you are buying a guaranteed result. We handle the entire process: the technology, the expert oversight, and the quality assurance. You get the matched data you need, backed by a Service Level Agreement (SLA), without the overhead of running a dedicated internal operation.
We use a hybrid approach that combines technology with human expertise. Our process typically involves:

- Proprietary Algorithms & ML: We use advanced algorithms and machine learning models for an initial, high-speed pass to handle the bulk of the matching.
-Human-in-the-Loop (HITL) Validation: For complex or low-confidence matches, our team of data specialists performs a manual review. This human oversight is crucial for achieving the highest level of accuracy, something that fully automated tools often struggle with.
Performance and turnaround are defined by your specific needs and outlined in your SLA. We offer flexible models:

Batch Processing: For large, historical datasets, we agree on a delivery schedule, typically ranging from a few hours to 24-48 hours, depending on volume and complexity.
Real-time API: For ongoing needs, such as checking for duplicates upon new record creation, we offer a real-time API that provides sub-second responses.
No. A core part of our service is handling raw, messy data. You can bring your data "as is." Our data engineers will perform the necessary cleansing, standardization (e.g., addresses, names, dates), and preparation as a foundational step in the matching process.

Let's discuss your data project

Our Data-as-a-Service platform delivers the trusted, analysis-ready datasets essential for reliable reporting and confident forecasting. We absorb the full technical complexity and operational risk of data acquisition, so your team can innovate with guaranteed results.

SLA-backed accuracy

Analysis-ready data

Zero operational overhead

Need an NDA first? Just mention it in the form - we’re happy to sign.