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PinoByte

PL Website 1-10 employees

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$25 - $49/hr
5.0

2 reviews

External Reviews

Technologies

Apache AirflowApache KafkaApache SparkHadoopDatabricksETLData LakeData WarehouseReal-Time AnalyticsBusiness IntelligenceDeep LearningGPT IntegrationComputer VisionObject DetectionImage RecognitionAPIsCloud ArchitectureEnterprise ArchitectureData ModelingData Governance

Services

Data ScrapingWeb Scraping for Generative AILead GenerationE-Commerce Price MonitoringReal Estate Data CollectionSocial Media Data GatheringWeb Scraping ConsultancyData SciencePredictive AnalyticsComputer VisionData VisualizationFraud DetectionAnomaly DetectionData EngineeringData IntegrationAI Web ApplicationsMVP Development

Notable Clients

Gambling Company (Dmitry Astanin)GLNV

PinoByte is a Polish software company founded by co-founders Alex Konon and Uladzislau Kuzmich, based in Warsaw. The company specializes in custom data solutions, handling everything from collection through to actionable insights. They work with startups and SMBs across data scraping, data science, data engineering, data integration, and AI web applications. The company's process is transparent: they start with free consultations, move through feasibility assessment and proof-of-concept phases, then full-scale development, testing, deployment, and ongoing support.

Services and capabilities

PinoByte's core offerings center on the data lifecycle. Their web scraping services handle large-scale collection from any source—they process 1M+ scraping requests per day in one client case. They tackle anti-scraping measures, CAPTCHA, and dynamic content challenges. Use cases include lead generation, e-commerce price monitoring, real estate listing aggregation, social media data gathering, and AI training data collection.

On the data science side, they build predictive models, run advanced analytics, and handle computer vision tasks (image recognition, fine-grained classification, object detection). Recent work shows 70% faster onboarding of data sources and 30% boost in analytics precision for one project. They also develop data visualization dashboards and integrate real-time analytics for pattern recognition, fraud detection, and anomaly detection.

Data engineering involves building pipelines, managing infrastructure, and handling data orchestration using tools like Apache Airflow, Spark, Kafka, and Hadoop. Data integration unifies sources from CRMs, databases, BI tools, and third-party APIs. They build AI web applications, including smart chatbots, custom portals, and MVP development for startups at lower rates.

Notable work

Their portfolio includes four concrete projects with measurable results. A multi-channel auto aggregator scraping platform processes 1M scraping requests per day with 1M active offers and 200k daily users. An AI-powered fine-grained image classification project cut model training time by 40%, improved analytics precision by 30%, and accelerated new car listing source onboarding by 70%. A payment gateway platform handles 2M transactions per month with 98% fraud detection accuracy and 3× faster payment provider integration through a plugin-based architecture. A money transfer system processes 150k monthly transactions with 97% fraud detection accuracy and 25% reduction in manual work.

Dmitry Astanin, Director of Engineering at a gambling company, reported that PinoByte's payment gateway improved onboarding speed by 3× with a plugin-based approach that integrated new payment providers rapidly. Another client, GLNV's founder, praised their Scrum-based methodology, transparency, and commitment to long-term success.

How they work

PinoByte follows a structured 8-step process. Free consultation gathers requirements and identifies challenges. Feasibility assessment analyzes technical viability and anti-scraping roadblocks. Proposal & solution design explores custom-built versus third-party integration options. Proof of concept validates the approach on real data sources. Full-scale development builds infrastructure, pipelines, and automation. Testing confirms robustness, scalability, and security compliance. Deployment & integration moves the solution live with monitoring in place. Ongoing support handles source updates and optimization. They offer free technical proposals within 2 days. Engagement model includes fixed-price projects and dedicated team arrangements. Project teams include project managers, technical leads, data engineers, backend engineers, DevOps engineers, and QA engineers depending on scope.

Team and credentials

The company is led by co-founders Alex Konon (+48 508 820 418) and Uladzislau Kuzmich (+48 572 401 184). Team size is not disclosed. No certifications (ISO 27001, SOC 2), partner badges, or G2/Clutch ratings are mentioned in the source material. The company positions itself as founder-friendly, noting they understand startup launch challenges and offer discounted rates for early-stage companies.

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Case Studies

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Client Reviews

Reviews from verified clients

5.0

2 third-party reviews

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Frequently Asked Questions

What does PinoByte specialize in?
PinoByte specializes in custom data solutions across the full lifecycle: data scraping, data science, data engineering, data integration, and AI web applications. They help startups and SMBs collect data, build predictive models, create dashboards, and deploy AI-driven applications.
Where is PinoByte based?
PinoByte is based in Warsaw, Poland. The company was founded by Alex Konon and Uladzislau Kuzmich. Their registered address is Emilii Plater, 53, Warsaw (00-113).
What's PinoByte's typical engagement model?
PinoByte follows an 8-step process: free consultation, feasibility assessment, proposal & solution design, proof of concept, full-scale development, testing, deployment & integration, and ongoing support. They offer fixed-price projects and dedicated team arrangements. Free technical proposals are available within 2 days.
What technologies does PinoByte work with?
PinoByte uses Apache Airflow, Apache Kafka, Spark, Hadoop, Databricks, and various cloud platforms. For data science and AI, they work with deep learning, GPT integration, computer vision, and object detection. For data infrastructure, they build data lakes, warehouses, and real-time analytics systems.
Can you share examples of PinoByte's work?
Yes. They built a payment gateway handling 2M transactions monthly with 98% fraud detection accuracy and 3× faster provider integration. An auto aggregator scraping platform processes 1M requests daily. An image classification project achieved 70% faster source onboarding and 40% reduction in model training time.
Does PinoByte offer services for startups?
Yes. PinoByte explicitly positions itself as a startup partner. As founders themselves, they offer cost-effective MVP development and lower rates for startups to help them go to market faster.

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