AI-powered data enrichment

Unify your internal data with external market signals. Our AI platform cleans, matches, and contextualizes web and mobile data, delivering a complete, analysis-ready view directly to your data warehouse.
Free your data team from manual preparation
Eliminate inconsistencies with AI-driven validation
Unify disparate products, companies, and locations
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We scrape data from over 5 000 sources

PROBLEMS

Is your data pipeline becoming a bottleneck?

If you're spending more time fixing data pipelines than analyzing results, you're not alone. An in-house data acquisition process that once worked can quickly become a source of escalating costs and unreliable insights. See if these challenges sound familiar:
Failed matching at scale

Failed matching at scale

Simple, rule-based matching creates data silos instead of insights. You're left with an incomplete picture of the market because you can't reliably connect products, locations, or competitors.
Poor data quality

Poor data quality

Your current processes deliver inconsistent, error-prone data, forcing your team into endless cleaning cycles and undermining business trust in your reports.
Spiraling infrastructure costs

Spiraling infrastructure costs

Your cloud and proxy bills are exploding as you try to scale, yet data quality isn't improving, leading to questions about ROI from management.
Constant firefighting

Constant firefighting

Your engineers are defeated by sophisticated anti-bot mechanisms, CAPTCHAs, and dynamic layouts, blocking access to critical data and turning their work into a reactive loop of fixing scrapers.
High team attrition

High team attrition

Your best data engineers are frustrated with the repetitive, low-impact work of maintaining scrapers, making them a flight risk and hindering your ability to focus on strategic, high-value analytics.
The mobile app blind spot

The mobile app blind spot

You lack the niche competencies to extract data from complex native mobile applications, leaving a critical source of competitive intelligence untapped.
HOW IT WORKS

From raw web data to business intelligence: our AI engine explained

We use the term "AI" not as a buzzword, but as a description of an engineering reality. Our Data-as-a-Service is built on a multi-layered machine learning pipeline. Here's a transparent look at how each "AI-powered" stage translates into reliable data for your business.

AI-Powered Acquisition

Our adaptive AI navigates target websites and mobile apps, learning from anti-bot responses in real-time to dynamically adjust request strategies and emulate human behavior.
What this means for you?
Consistent data delivery where manual scripts fail. You get the data you need without the operational overhead of managing thousands of proxies, solving CAPTCHAs, or re-writing scrapers every week.

AI-Powered Structuring

Forget brittle selectors. We use a combination of Computer Vision and NLP models to read and interpret web and mobile screens contextually, identifying and extracting data fields from unstructured descriptions, images, and dynamic layouts.
What this means for you?
Reliable data extraction from sources that break traditional scrapers. You get structured, predictable JSON output even when the source layout changes, eliminating the need for constant maintenance.

AI-Powered Matching

Our semantic matching engine goes beyond keywords to understand context. It performs entity resolution to link products, companies, and locations, even with ambiguous or incomplete information.
What this means for you?
A unified, query-ready dataset. We eliminate duplicates and connect disparate data points, providing a confidence score for every match to help you manage the trade-off between precision and recall, answering your question: "How many false-positives we tolerate?"

AI-Powered Quality Assurance

Our system doesn't just deliver data; it validates it. Anomaly detection models constantly monitor data streams for unexpected changes, outliers, or structural shifts, flagging potential issues before they ever reach your systems.
What this means for you?
Data integrity guaranteed by an SLA. Issues are flagged and addressed proactively by our team, ensuring the data feeding your BI dashboards is accurate and reliable.
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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
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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
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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
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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
INTEGRATION

Seamless integration with your data stack

Our AI engine delivers analysis-ready data directly into the tools your team already uses. No complex ETL projects required.

WHY US

The strategic choice: build an R&D team or buy a guaranteed result?

The decision to build an in-house AI data acquisition pipeline is a commitment to a multi-year R&D project with unpredictable costs and timelines. Before you dedicate budget to building, consider the Total Cost of Ownership (TCO) and the opportunity cost for your team.

AI Data Enrichment

In-House AI Scraping

Time to First Data6-12+ months (recruitment, development, training) << 2 weeks (for standard sources)
Upfront CostHigh (recruitment fees, salaries, setup) Zero
Ongoing Cost (TCO)High & Unpredictable (salaries, cloud & proxy bills, tool licenses, attrition) Predictable, fixed fee based on data volume & SLA
Data Quality & UptimeDependent on team skill; no external guaranteeContractually guaranteed via SLA (e.g., 99.5% accuracy)
RiskHigh
(project failure, budget overruns, key-person dependency)		Low
(managed by a dedicated expert team, backed by SLA)
Team FocusMaintaining infrastructure, fixing scrapersStrategic analysis, building models, driving business value

Trusted by data-driven industry leaders

Our technology has been vetted and adopted by companies that treat data as a core asset. We provide technical case studies that detail the architecture and the results.
Client
Global E-commerce Marketplace
Challenge
Inability to accurately match millions of third-party seller products to their master catalog using traditional methods.
AI Solution
Deployed our semantic matching engine to process and link product listings, achieving a 99.2% accuracy rate.
Business Impact
Reduced manual data cleanup work by 500 hours/mo; improved competitive pricing intelligence by 40%.

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.
PRICING

Choose your plan

From your first proof-of-concept to an enterprise-wide data strategy, our plans provide the right level of data, support, and partnership at every stage.

Starter

Best for: Proof of Concept and single data projects.

Community and email support.

Standard data structuring and matching.

API access to a defined set of web sources.

Business

Best for: Production data pipelines for key business units.

Everything in Starter

Access to complex web and mobile app data.

Guaranteed SLA for data quality and delivery.

Priority support and direct warehouse integrations.

Enterprise

Best for: A strategic partnership for data-driven organizations.

Everything in Business

A dedicated Technical Account Manager.

Custom data sources and tailored AI models.

The highest level of security, compliance, and support.

FAQ

Frequently Asked Questions

We believe a strong partnership starts with clear answers to tough questions. Here are the topics most frequently raised by data leaders like you.

  • This is our absolute priority, and we understand it is yours as well. Our operations are fully compliant with GDPR and other data regulations. We focus exclusively on publicly available data and do not process personal user information. Our legal and ethical framework was developed with a specialized technology law firm to ensure full legal safety for both you and us.

  • We understand that data errors undermine trust in the entire BI department. That's why our Quality Assurance (QA) process is multi-layered. Data undergoes automated validations, AI-driven anomaly detection, and in critical cases, is verified by our analysts (human-in-the-loop). Key quality metrics like

  • Our goal is to minimize the workload on your side. We deliver data in two primary ways: via a dedicated, well-documented API, or through pre-built connectors that load data directly into your warehouse (Snowflake, BigQuery, Redshift, etc.). The data arrives cleaned, structured, and matched - ready for analysis to avoid disconnected datasets.

  • Our SLA is the foundation of our reliability. It typically covers API uptime and on-time data delivery guarantees. Higher-tier plans can also include specific data quality metrics. Our support process is clearly defined, ranging from a standard ticketing system, to a dedicated Slack channel (Business), to a dedicated Technical Account Manager (Enterprise) who serves as your direct point of contact.

  • This is a key question of Total Cost of Ownership (TCO) versus building your own solution. Building a scalable scraping system in-house involves more than just developer salaries. It includes the high and unpredictable costs of proxies and cloud infrastructure , recruitment challenges, high attrition for specialized talent , and above all, the constant race against new anti-bot technologies. Outsourcing allows you to convert unpredictable R&D costs into a predictable operational expense, freeing your best engineers to focus on high-value analysis, not on fixing scrapers.

  • We see ourselves as a partner, not just a software vendor. Our Business and Enterprise plans include a process for onboarding new data sources. We will analyze your requested sites or apps, assess the complexity, and provide you with a feasibility and timeline for adding them to our regular monitoring.

Turn your raw data into actionable signals

Your existing data is a starting point. We add the external context you need to make strategic moves. Describe your dataset, and our experts will show you how we can unlock its hidden value.

Enrich leads with buying signals like new hires or technology usage.
Add competitive context to your products with real-time pricing and stock levels.
Transform static lists into dynamic assets for smarter lead scoring and market analysis.

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