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Recommender Systems

We create advanced AI-powered recommender systems that help businesses deliver personalized content, products and insights to each user. Our solutions leverage machine learning, user behavior analytics and real-time data processing to boost engagement, retention and conversion across digital platforms.

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Platforms We Work With
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Solutions we offer

  • Personalized Product Recommendation Engines

    Personalized Product Recommendation Engines

    A system that analyzes user behavior, preferences and historical interactions to deliver highly relevant product recommendations. It increases conversion rates and improves customer satisfaction through personalized browsing experiences.


    • User Behavior Tracking and Preference Modeling Engine
    • AI-Powered Product Ranking and Scoring System
    • Dynamic Homepage and Catalog Personalization Module
    • Cross-Sell and Upsell Recommendation Generator
    • Real-Time Session-Based Product Suggestion Engine
    • Purchase History and Repeat-Buy Prediction Model
    • A/B Testing and Recommendation Performance Analytics Tool
  • Content-Based Recommendation Systems

    Content-Based Recommendation Systems

    A recommendation model that suggests items based on the attributes of content a user has previously interacted with. It is especially effective for media, e-learning, entertainment and knowledge platforms.


    • Product Attribute and Feature Extraction Engine
    • Machine Learning Model for Similar Item Recommendations
    • Content Tagging and Metadata Enrichment Module
    • User Preference Profiling and Interest Matching System
    • Semantic Search and Item Similarity Ranking Tool
    • Personalized Content Feed Generation Module
    • Continuous Model Training and Relevance Optimization Platform
  • Collaborative Filtering & User Similarity Models

    Collaborative Filtering & User Similarity Models

    An AI-powered engine that links users with similar preferences to create cross-user recommendations. It helps platforms boost engagement by utilizing shared behavioral patterns among their audiences.


    • User–User Similarity Matrix and Preference Matching Engine
    • Item–Item Collaborative Filtering Recommendation System
    • Implicit Feedback and Interaction Analysis Module
    • Matrix Factorization and Latent Feature Modeling Tool
    • Cold-Start User Handling and Progressive Profiling Engine
    • Hybrid User Clustering and Behavioral Segmentation Model
    • Recommendation Quality Scoring and Continuous Optimization Platform
  • Hybrid Recommendation Systems

    Hybrid Recommendation Systems

    A combined solution that merges collaborative filtering with content-based algorithms to deliver more accurate suggestions. This method reduces cold-start problems and improves recommendation quality for both new and existing users.


    • Combined Content-Based and Collaborative Filtering Engine
    • Weighted Hybrid Ranking and Fusion Algorithm Module
    • Context-Aware Recommendation Aggregation System
    • Cold-Start Mitigation and New User Onboarding Model
    • Multi-Source Data Integration for Unified Recommendations
    • Dynamic Switching Between Algorithms Based on Performance
    • Recommendation Accuracy Tracking and Continuous Tuning Platform
  • Real-Time Recommendation & Personalization Platforms

    Real-Time Recommendation & Personalization Platforms

    A platform that instantly adjusts recommendations based on user interactions and sessions, boosting engagement by dynamically updating content, products, or offers in real-time.


    • Live Session Tracking and Instant Personalization Engine
    • Real-Time Product and Content Recommendation API
    • Adaptive User Segmentation and Behavior Prediction Module
    • Context-Aware Personalization Based on Time and Location
    • Dynamic Homepage and UI Personalization Framework
    • Real-Time Offer Optimization and Conversion Boosting System
    • Continuous Event Stream Processing and Personalization Pipeline
  • Context-Aware Recommendation Systems

    A recommendation engine that considers time, location, device and current user intent. It allows businesses to deliver highly relevant suggestions that adapt to changing user contexts.


    • Location-Based Recommendation and Geo-Context Engine
    • Time-of-Day and Seasonality-Aware Suggestion Module
    • Device and Platform Context Personalization System
    • User Intent and Activity Detection Model
    • Situational Preference Adaptation and Dynamic Ranking Tool
    • Environmental and Sensor Data-Driven Recommendation Engine
    • Hybrid Context–Behavior Personalization Framework
  • Recommendation Systems for Media & Entertainment

    Recommendation Systems for Media & Entertainment

    A solution that personalizes recommendations for music, videos, movies, or articles using advanced ranking and sequence models. It boosts user retention and engagement by showing content they are likely to enjoy.


    • Personalized Movie and TV Show Recommendation Engine
    • Music Listening Pattern Analysis and Playlist Generation Module
    • News and Article Personalization Feed System
    • Viewer Preference Profiling and Genre Affinity Modeling
    • Real-Time Streaming Behavior and Watch History Analysis
    • Trending Content and Popularity Forecasting Tool
    • Cross-Platform Media Recommendation and Sync Engine
  • Recommendation Systems for E-Commerce & Retail

    Recommendation Systems for E-Commerce & Retail

    An engine that analyzes purchasing behavior, cart actions and browsing patterns to recommend complementary or relevant products. It helps retailers increase average order value and grow revenue through effective upselling and cross-selling.


    • AI-Powered Product Suggestion and Ranking Engine
    • Frequently Bought Together and Cross-Sell Module
    • Personalized Homepage and Product Feed Customization
    • Cart Abandonment Recovery and Recommendation System
    • Dynamic Pricing and Personalized Offer Optimization Tool
    • Customer Purchase Behavior and Preference Modeling Engine
    • In-Store and Online Unified Recommendation Platform
  • Recommendation Systems for Social & Community Platforms

    Recommendation Systems for Social & Community Platforms

    A model that suggests friends, groups, interests, or user-generated content based on profile similarity and interactions. This method encourages stronger user networks and boosts platform engagement.


    • Friend and Connection Suggestion Engine
    • Interest-Based Group and Community Recommendation Module
    • User-Generated Content Ranking and Feed Personalization System
    • Behavioral Similarity and Interaction Pattern Analysis Tool
    • Trending Topics and Viral Content Discovery Engine
    • Follower and Engagement Prediction Model
    • Cross-Profile Matching and Social Graph Analysis Platform
  • Recommendation Analytics & A/B Testing Platforms

    Recommendation Analytics & A/B Testing Platforms

    A toolkit for assessing recommendation performance using experiments, metrics and user feedback. It helps businesses optimize algorithms and continuously improve the quality of personalization.


    • Recommendation Performance Tracking and Metrics Dashboard
    • Automated A/B and Multivariate Experimentation Engine
    • User Cohort Analysis and Segmentation Module
    • Model Comparison and Algorithm Benchmarking Tool
    • Conversion Impact and Revenue Attribution Analytics
    • Personalization Insight Reports and Behavior Mapping
    • Continuous Learning and Model Optimization Framework
  • Show all

About Founder and CTO

Dmytro Nasyrov

Dmytro Nasyrov

Founder and CTO Pharos Production

Ask the founder a question

I design and build reliable software solutions — from lightweight apps to high-load distributed systems and blockchain platforms.

PhD in Artificial Intelligence, MSc in Computer Science (with honors), MSc in Electronics & Precision Mechanics.

  • 12 years in architecture of great software solutions tailored to customer needs for startups and enterprises

  • 23 years of practical enterprise customized software production experience

  • Lecturer at the National Kyiv Polytechnic University

  • Doctor of Philosophy in Artificial Intelligence

  • Master’s degree in Computer Science, completed with excellence

  • Master’s degree in Electronics and precision mechanics engineering

Technologies

  • Deep Learning-Based Recommendation Engines

    Neural networks examine complex user behavior patterns to deliver exact personalized recommendations.

  • Graph Neural Networks (GNNs)

    Graph-based models understand the connections between users, items and contexts to improve relevance and discovery.

  • Reinforcement Learning Recommenders

    Adaptive agents learn from real-time user interactions to maximize long-term engagement and conversion rates.

  • Context-Aware Recommendation Systems

    These models consider location, time, device and situational data to improve recommendations for certain moments.

  • Hybrid Collaborative Filtering Algorithms

    Combined approaches use user, item and content features to boost accuracy and address cold-start problems.

  • Natural Language Processing (NLP) for Recommendations

    Language models analyze reviews, descriptions and queries to enhance product or content matching.

  • Real-Time Recommendation Pipelines (Kafka, Flink, Spark)

    Streaming architectures handle events in real time, producing fresh and dynamic recommendations.

  • Privacy-Preserving Federated Learning

    This distributed training approach keeps user data on the device while still allowing the development of advanced personalized recommendation models.

Our MVP development Expertise

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    Social

    Taxi Aggregator App

    Pharos Production collaborated with a taxi aggregator platform to develop a high-load ride-hailing application that connects passengers and drivers in real time. This platform consolidates various fleets and independent drivers into a single system, ensuring quick ride matching, live tracking and transparent pricing. Built on a cloud-native infrastructure, the solution offers low-latency interactions, reliable trip processing and scalability for operations at the city and regional levels.

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    Social

    Sagas. Time-lapse Social Network

    Pharos Production has partnered with Sagas to create a location-aware social platform that enables users to capture, publish, and explore geo-located timelapses over time. This system combines real-time data ingestion, large-scale media processing, and map-centric discovery to transform physical locations into dynamic digital stories. Leveraging cloud-native infrastructure and event-driven architecture, Sagas allows users to document urban changes, natural evolution, and personal moments tied to specific places. The result is a scalable social network where time and location are central to content discovery.

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    Web3 & Blockchain

    PumpTap Crypto Wallet

    Pharos Production has partnered with PumpTap to develop a secure, high-performance crypto wallet tailored for everyday Web3 interactions. PumpTap lets users store, send and manage digital assets across multiple blockchains through a simple, intuitive interface. Built on a scalable, event-driven architecture, the wallet delivers real-time transaction updates, robust security and seamless integration with decentralized applications.

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    Social

    Pulse. Social Network With Prizes

    Pharos Production has partnered with Pulse to create a community-driven social network that connects users with local stores through challenges, engagement activities, and real-world prizes. This platform transforms everyday local interactions into interactive experiences, enabling users to earn rewards from participating merchants. Built on a scalable, event-driven architecture, Pulse facilitates real-time interactions between users and businesses and supports rapid growth across cities and regions.

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    Casino & Sportsbook

    Pro Gambling. Sports Forecasting Platform

    Pharos Production partnered with Pro Gambling to build a high-load sports forecasting platform focused on data-driven predictions, real-time analytics and scalable delivery of betting insights. The platform aggregates large volumes of sports data, odds movements and historical statistics to generate forecasts that help users make informed betting decisions. Built on a cloud-native, event-driven architecture, Pro Gambling delivers fast updates, transparent analytics and consistent performance during peak sports events.

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    FinTech

    Pleenk. Secure Payments Platform

    Pharos Production has partnered with Pleenk to build a secure, scalable payments platform for fast transactions, fraud prevention and seamless integration with digital products. The platform processes payment flows in real time while maintaining high levels of security, transparency and reliability for both businesses and end users. Built on cloud-native infrastructure and an event-driven architecture, Pleenk provides a strong foundation for modern digital payments.

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    Casino & Sportsbook

    NoMoreBets. Rapid Bets Platform.

    Pharos Production partnered with NoMoreBets to develop a worldwide one-tap live betting platform focused on speed and scalability. The system handles real-time odds and instant bets effortlessly. The result is a smooth, engaging betting experience that increased player retention, reduced drop-offs during live matches, and positioned NoMoreBets for global growth since 2022.

  • nextcheck-project-screenshot-1
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    KYC & Compliance

    Nextcheck, the KYC Platform

    Pharos Production partnered with Nextcheck to replace outdated, manual onboarding with a secure, automated KYC/AML platform. Built on AWS, Kubernetes, Istio, Elixir, RabbitMQ, PostgreSQL and NextJS, the platform provides real-time biometric and document verification, risk assessment and compliance reporting. Since 2019, Nextcheck has reduced onboarding time by 60%, cut manual labor by 70% and expanded to support thousands of checks at once. Today, it powers global banks, fintechs and crypto firms with a cloud-native, regulation-ready, growth-oriented compliance platform.

Reviews

  • Social

    Pharos Production Inc. helped the client achieve over 10,000 downloads in the first three months and a 35% increase in repeat orders. Moreover, the team provided excellent project management, met all deadlines, and responded quickly to all requests for changes. Overall, it was a smooth experience.

  • Information Technology

    Pharos Production Inc. successfully launched a secure, stable blockchain solution that aligned with the client's requirements. The team achieved all milestones on time and maintained regular communication to ensure both sides stayed in sync. Their extensive technical expertise was truly remarkable.

  • iGaming

    Pharos Production Inc. delivered a reliable game that received great reviews from testers and co-promotion partners. The team was highly responsive, flexible with changes, and delivered work on time. Moreover, their impressive quality and fair pricing stood out.

  • FinTech

    Thanks to Pharos Production Inc.'s efforts, the client's platform scalability increased by 40%, and transaction processing speed improved by 35%. The team also mitigated all critical security vulnerabilities. Moreover, they utilized Jira, Slack, and Zoom for effective project management.

  • Web3 & Crypto

    Pharos Production Inc.'s efforts resulted in a 40% increase in transaction processing efficiency, a 30% improvement in blockchain integration speeds, and the mitigation of all critical security risks. The team was transparent, proactive, and technically proficient.

  • iGaming

    Pharos Production Inc. successfully conducted a thorough security audit of the client's system and delivered a detailed report outlining recommendations for improvement. The team executed each aspect of the project efficiently without compromising quality. They were also knowledgeable and reliable.

  • Web3 & Crypto

    Pharos Production Inc. delivered a scalable, efficient platform tailored for high-performance and secure trading. The team reduced transaction processing times, increased platform adoption rates, and enhanced user engagement metrics, much to the client's delight.

  • Social

    Pharos Production Inc.'s dedicated efforts led to a remarkable 95% increase in tracking accuracy for the client. The team used Jira, Trello, and Zoom to communicate and manage the project. Their technical knowledge was a hallmark of their work.

  • Healthcare

    Pharos Production delivered a secure and scalable healthcare platform that integrated seamlessly with our existing clinical systems and workflows. Their team demonstrated strong domain expertise, clear communication and consistent delivery throughout the project lifecycle.

  • Healthcare

    Pharos Production helped us modernize our patient-facing applications while ensuring full compliance with healthcare security and privacy requirements. The project was delivered on schedule and the resulting platform significantly improved both clinician efficiency and patient engagement.

  • Healthcare

    Pharos Production worked closely with our clinical and operations teams to build an impressive digital platform that enhanced complex care coordination workflows. Their skill in translating healthcare requirements into reliable, scalable software was instrumental to the project's success, showcasing a strong partnership that made a difference!

  • Healthcare

    Pharos Production provided us with an exceptional healthcare software platform that excelled in both regulatory compliance and user experience. Their meticulous delivery process and deep expertise in clinical systems have firmly established them as our reliable, valued long-term technology partner.

  • Healthcare

    Pharos Production has been instrumental in our digital transformation, delivering a secure, interoperable healthcare platform that aligns with our long-term vision. Their exceptional ability to harmonize regulatory compliance, system scalability, and user experience has made our collaboration not only efficient but also a fantastic strategic partnership. We’re truly grateful!

  • Healthcare

    Pharos Production delivered an adaptable digital health platform that enabled us to swiftly introduce new patient services while ensuring robust data security. Their technical skills and forward-thinking attitude gave us the confidence to grow as our user community flourished!

  • Healthcare

    Pharos Production transformed our outdated hospital systems with a cutting-edge, robust software platform that enhanced operational visibility and simplified integrations. Their meticulous engineering and deep knowledge of healthcare made them an invaluable partner we could truly rely on!<br />

Technologies, tools and frameworks we use

Frameworks
Blockchains
DevOps
Clouds
Databases
Brokers
Tests
Programming
UI/UX

Frameworks

  • Backend Frameworks

    • Spring Boot
      Spring Boot
    • Erlang OTP
      Erlang OTP
    • NodeJS
      NodeJS
    • Phoenix
      Phoenix
    • NestJS
      NestJS
  • Front End Frameworks

    • React
      React
    • Next.JS
      Next.JS
    • Svelte
      Svelte
    • Angular
      Angular
  • Mobile Apps Frameworks

    • iOS
      iOS
    • Android
      Android
    • Flutter
      Flutter
    • React Native
      React Native
    • Capacitors
      Capacitors
    • Ionic
      Ionic
    • Swift
      Swift
    • Kotlin
      Kotlin
    • Java
      Java

Blockchains

  • Private and Public Blockchains

    • Ethereum
      Ethereum
    • TON
      TON
    • Corda
      Corda
    • Tron
      Tron
    • Hedera
      Hedera
    • Stellar
      Stellar
    • Consensys GoQuorum
      Consensys GoQuorum
    • Solana
      Solana
    • Arbitrum
      Arbitrum
    • Binance Smart Chain (BSC)
      Binance Smart Chain (BSC)
    • Sei
      Sei
    • Celo
      Celo
    • Hyperledger
      Hyperledger
    • MultiversX
      MultiversX
    • IOTA
      IOTA
    • Polkadot
      Polkadot
    • Aptos
      Aptos
    • Neo
      Neo
    • Flow
      Flow
    • Algorand
      Algorand
    • Avalanche
      Avalanche
    • EOS
      EOS
    • Optimism
      Optimism
    • Polygon
      Polygon
    • Cosmos
      Cosmos
    • Sui
      Sui
    • Tezos
      Tezos
    • Ontology
      Ontology
    • Fantom
      Fantom
    • NEAR Protocol
      NEAR Protocol
    • VeChain
      VeChain
    • Base
      Base
    • IPFS
      IPFS
  • Cloud Blockchain Solutions

    • Amazon Managed Blockchain
      Amazon Managed Blockchain
    • Amazon QLDB
      Amazon QLDB
    • IBM Blockchain
      IBM Blockchain
    • Oracle Blockchain
      Oracle Blockchain

DevOps

  • DevOps Tools

    • Kubernetes
      Kubernetes
    • Terraform
      Terraform
    • Docker
      Docker
    • Istio
      Istio
    • Prometheus
      Prometheus
    • Grafana
      Grafana
    • Jenkins
      Jenkins
    • ArgoCD
      ArgoCD
    • Ansible
      Ansible

Clouds

  • Clouds

    • Amazon Web Services
      Amazon Web Services
    • Azure
      Azure
    • Google Cloud
      Google Cloud

Databases

  • Databases

    • PostgreSQL
      PostgreSQL
    • MySQL MariaDB
      MySQL MariaDB
    • Redis
      Redis
    • Cassandra
      Cassandra
    • Neo4J
      Neo4J
    • MongoDB
      MongoDB
    • Elasticsearch
      Elasticsearch
    • Solr
      Solr
    • Ignite
      Ignite

Brokers

  • Event and Message Brokers

    • Kafka
      Kafka
    • RabbitMQ
      RabbitMQ
    • Flink
      Flink

Tests

  • Test Automation Tools

    • Postman
      Postman
    • Appium
      Appium
    • Cucumber
      Cucumber
    • Selenium
      Selenium
    • JMeter
      JMeter
    • Cypress
      Cypress

Programming

  • Programming Languages

    • Solidity
      Solidity
    • FunC
      FunC
    • Rust
      Rust
    • GoLang
      GoLang
    • Elixir
      Elixir
    •  Erlang
      Erlang
    • C++
      C++
    • Java
      Java
    •  JavaScript
      JavaScript
    • TypeScript
      TypeScript
    • Scala
      Scala

UI/UX

  • UI/UX Design Tools

    • Figma
      Figma
    •  Zeplin
      Zeplin
    • InVision
      InVision
    • Sketch
      Sketch
    • Miro
      Miro
    • Marvel
      Marvel
    • Balsamiq
      Balsamiq
    • Photoshop
      Photoshop
    • Illustrator
      Illustrator
    • XD
      XD
    • After Effects
      After Effects
    • Corel Draw
      Corel Draw
Frameworks

Frameworks

  • Backend Frameworks

    • Spring Boot
      Spring Boot
    • Erlang OTP
      Erlang OTP
    • NodeJS
      NodeJS
    • Phoenix
      Phoenix
    • NestJS
      NestJS
  • Front End Frameworks

    • React
      React
    • Next.JS
      Next.JS
    • Svelte
      Svelte
    • Angular
      Angular
  • Mobile Apps Frameworks

    • iOS
      iOS
    • Android
      Android
    • Flutter
      Flutter
    • React Native
      React Native
    • Capacitors
      Capacitors
    • Ionic
      Ionic
    • Swift
      Swift
    • Kotlin
      Kotlin
    • Java
      Java
Blockchains

Blockchains

  • Private and Public Blockchains

    • Ethereum
      Ethereum
    • TON
      TON
    • Corda
      Corda
    • Tron
      Tron
    • Hedera
      Hedera
    • Stellar
      Stellar
    • Consensys GoQuorum
      Consensys GoQuorum
    • Solana
      Solana
    • Arbitrum
      Arbitrum
    • Binance Smart Chain (BSC)
      Binance Smart Chain (BSC)
    • Sei
      Sei
    • Celo
      Celo
    • Hyperledger
      Hyperledger
    • MultiversX
      MultiversX
    • IOTA
      IOTA
    • Polkadot
      Polkadot
    • Aptos
      Aptos
    • Neo
      Neo
    • Flow
      Flow
    • Algorand
      Algorand
    • Avalanche
      Avalanche
    • EOS
      EOS
    • Optimism
      Optimism
    • Polygon
      Polygon
    • Cosmos
      Cosmos
    • Sui
      Sui
    • Tezos
      Tezos
    • Ontology
      Ontology
    • Fantom
      Fantom
    • NEAR Protocol
      NEAR Protocol
    • VeChain
      VeChain
    • Base
      Base
    • IPFS
      IPFS
  • Cloud Blockchain Solutions

    • Amazon Managed Blockchain
      Amazon Managed Blockchain
    • Amazon QLDB
      Amazon QLDB
    • IBM Blockchain
      IBM Blockchain
    • Oracle Blockchain
      Oracle Blockchain
DevOps

DevOps

  • DevOps Tools

    • Kubernetes
      Kubernetes
    • Terraform
      Terraform
    • Docker
      Docker
    • Istio
      Istio
    • Prometheus
      Prometheus
    • Grafana
      Grafana
    • Jenkins
      Jenkins
    • ArgoCD
      ArgoCD
    • Ansible
      Ansible
Clouds

Clouds

  • Clouds

    • Amazon Web Services
      Amazon Web Services
    • Azure
      Azure
    • Google Cloud
      Google Cloud
Databases

Databases

  • Databases

    • PostgreSQL
      PostgreSQL
    • MySQL MariaDB
      MySQL MariaDB
    • Redis
      Redis
    • Cassandra
      Cassandra
    • Neo4J
      Neo4J
    • MongoDB
      MongoDB
    • Elasticsearch
      Elasticsearch
    • Solr
      Solr
    • Ignite
      Ignite
Brokers

Brokers

  • Event and Message Brokers

    • Kafka
      Kafka
    • RabbitMQ
      RabbitMQ
    • Flink
      Flink
Tests

Tests

  • Test Automation Tools

    • Postman
      Postman
    • Appium
      Appium
    • Cucumber
      Cucumber
    • Selenium
      Selenium
    • JMeter
      JMeter
    • Cypress
      Cypress
Programming

Programming

  • Programming Languages

    • Solidity
      Solidity
    • FunC
      FunC
    • Rust
      Rust
    • GoLang
      GoLang
    • Elixir
      Elixir
    •  Erlang
      Erlang
    • C++
      C++
    • Java
      Java
    •  JavaScript
      JavaScript
    • TypeScript
      TypeScript
    • Scala
      Scala
UI/UX

UI/UX

  • UI/UX Design Tools

    • Figma
      Figma
    •  Zeplin
      Zeplin
    • InVision
      InVision
    • Sketch
      Sketch
    • Miro
      Miro
    • Marvel
      Marvel
    • Balsamiq
      Balsamiq
    • Photoshop
      Photoshop
    • Illustrator
      Illustrator
    • XD
      XD
    • After Effects
      After Effects
    • Corel Draw
      Corel Draw

Partnerships & Awards

An approach to the development cycle

We divide the project into sprints of 2 weeks, after each sprint there is a retrospective of the work done, planning for the next sprint, a report of the work done and a plan for the next sprint
  • 2 days

    Team Assembly

    Our company starts and assembles an entire project specialists with the perfect blend of skills and experience to start the work.

  • 1-4 months

    MVP

    We’ll design, build, and launch your MVP, ensuring it meets the core requirements of your software solution.

  • 6-12 months

    Production

    We’ll create a complete software solution that is custom-made to meet your exact specifications.

  • how long will it take

    Continuous Support

    Our company will be right there with you, keeping your software solution running smoothly, fixing issues, and rolling out updates.

What happens next?