Recommender Systems

Pharos Production is a recommender system development company that builds personalization engines, product recommendation algorithms and content discovery platforms. The global recommendation engine market is projected to reach $21.16 billion by 2030 (Grand View Research, 2024). Founded in 2013, the company delivers ML-powered recommendation solutions for e-commerce, media, streaming and SaaS products.

engineers
90+
years in business
12+
apps delivered
70+
73 reviews 131 reviews 10 reviews 36 reviews 250+ verified reviews

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Key facts: Pharos Production delivers custom recommender systems since 2013. Team of 90+ engineers from Las Vegas and Kyiv. 70+ applications delivered for 200+ clients. Rated 5/5 on Clutch (2026). ISO 27001 certified. Last reviewed: March 2026. Editorial policy. This page is reviewed quarterly and updated when pricing, technology support or team capacity changes. If you find an error, contact us and we will correct it within 48 hours.
Dmytro Nasyrov - Founder and CTO of Pharos Production

Reviewed by Dmytro Nasyrov

Founder and CTO

13+ years in custom software development. ISO 27001 certified team lead.

Recommender system solutions we build

Pharos Production applies its full-cycle software development expertise to deliver tailored solutions for recommender systems businesses.

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

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

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

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

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

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

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

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

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
Solution Key capabilities
Personalized Product Recommendation Engines User Behavior Tracking and Preference Modeling Engine AI-Powered Product Ranking and Scoring System Dynamic Homepage and Catalog Personalization Module +4
Content-Based Recommendation Systems Product Attribute and Feature Extraction Engine Machine Learning Model for Similar Item Recommendations Content Tagging and Metadata Enrichment Module +4
Collaborative Filtering & User Similarity Models User–User Similarity Matrix and Preference Matching Engine Item–Item Collaborative Filtering Recommendation System Implicit Feedback and Interaction Analysis Module +4
Hybrid Recommendation Systems Combined Content-Based and Collaborative Filtering Engine Weighted Hybrid Ranking and Fusion Algorithm Module Context-Aware Recommendation Aggregation System +4
Real-Time Recommendation & Personalization Platforms Live Session Tracking and Instant Personalization Engine Real-Time Product and Content Recommendation API Adaptive User Segmentation and Behavior Prediction Module +4
Context-Aware Recommendation Systems Location-Based Recommendation and Geo-Context Engine Time-of-Day and Seasonality-Aware Suggestion Module Device and Platform Context Personalization System +4
Recommendation Systems for Media & Entertainment Personalized Movie and TV Show Recommendation Engine Music Listening Pattern Analysis and Playlist Generation Module News and Article Personalization Feed System +4
Recommendation Systems for E-Commerce & Retail AI-Powered Product Suggestion and Ranking Engine Frequently Bought Together and Cross-Sell Module Personalized Homepage and Product Feed Customization +4
Recommendation Systems for Social & Community Platforms Friend and Connection Suggestion Engine Interest-Based Group and Community Recommendation Module User-Generated Content Ranking and Feed Personalization System +4
Recommendation Analytics & A/B Testing Platforms Recommendation Performance Tracking and Metrics Dashboard Automated A/B and Multivariate Experimentation Engine User Cohort Analysis and Segmentation Module +4
Related services: iOS Development Android Development Cross-Platform Front-end Back-end DevOps

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.

Pharos Production - Describe your idea & get a quote in 48h! Get an estimate for the costs, timeline & the team layout needed for your project Get a project estimate.

Our Expertise

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    Healthcare

    CareConnect Patient Portal. Healthcare Engagement Platform

    Pharos Production partnered with a healthcare organization to develop CareConnect, a secure patient engagement platform that connects patients with care providers through a unified digital interface. This solution enables patients to manage appointments, access medical records, participate in teleconsultations and communicate directly with healthcare professionals. Built on a scalable, cloud-native architecture, CareConnect enhances the patient experience while meeting strict security and regulatory standards.

    CareConnect Patient Portal. Healthcare Engagement Platform details
    Industry
    Healthcare, Digital Health, Patient Engagement, Health IT
    Region
    Qatar
    Client since
    2019
    Technologies
    AWS, Kubernetes, Istio, Spring Boot, Kafka, PostgreSQL, Redis, NextJS, Terraform
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    Healthcare

    MedCore EHR Platform

    Pharos Production partnered with a healthcare organization to design and build MedCore, a comprehensive electronic health record platform that centralizes patient data, streamlines clinical workflows and ensures regulatory compliance. The system unifies medical records, clinical documentation, diagnostics and administrative processes within a secure, scalable digital environment. Built on a cloud-native architecture, MedCore delivers reliable performance, real-time data access and long-term scalability for healthcare providers operating at clinic, hospital and network levels.

    MedCore EHR Platform details
    Industry
    Healthcare, Medical Software, Health IT
    Region
    UAE
    Client since
    2022
    Technologies
    AWS, Kubernetes, Istio, Spring Boot, Kafka, Flink, Cassandra, PostgreSQL, Redis, NextJS, Terraform
  • Ludo soulbound NFT profile
    Ludo cross-chain scoring
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    Web3 & Blockchain

    Ludo. Reputation platform of Web3

    Pharos Production partnered with Ludo to build a global cross-chain reputation system that makes trust transparent and portable across the Web3 ecosystem. Using AWS, Kubernetes, Istio, Kafka, Flink, Cassandra, Pinot and Solr, the platform processes blockchain data in real time to generate soulbound NFT-based reputation scores. With web, browser and Telegram interfaces, Ludo empowers users, curators and builders to identify trustworthy projects, integrate reputation APIs and strengthen community engagement. The result is a scalable, real-time trust layer that has been driving adoption in Web3 since 2021.

    Ludo. Reputation platform of Web3 details
    Industry
    Web3, AI and Machine Learning, BigData
    Region
    Global
    Client since
    2021
    Technologies
    AWS, Kubernetes, Istio, Spring Boot, Kafka, Flink, Cassandra, Pinot, Solr, Ignite, NextJS, Terraform
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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.

    Sagas. Time-lapse Social Network details
    Industry
    Social Media, Geospatial Platforms, AI and Machine Learning, Big Data
    Region
    Global
    Client since
    2019
    Technologies
    AWS, Kubernetes, Istio, Spring Boot, Kafka, Flink, Cassandra, Pinot, Object Storage, Map SDKs, NextJS, Terraform
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    Casino & Sportsbook

    Lucky Bets. Casino Games Aggregator

    Pharos Production has partnered with Lucky Bets to create a high-performance casino games aggregator and online casino platform focused on scalability, reliability and player engagement. This platform seamlessly integrates hundreds of games from multiple providers, delivering a unified gaming experience while managing real-time gameplay events, balances and analytics with minimal latency. Built on cloud-native infrastructure, Lucky Bets offers a fast, secure and flexible foundation for modern iGaming operations.

    Lucky Bets. Casino Games Aggregator details
    Industry
    iGaming, Online Casino, Big Data, AI and Machine Learning
    Region
    Asia
    Client since
    2021
    Technologies
    AWS, Kubernetes, Istio, Spring Boot, Kafka, Flink, Cassandra, Pinot, Redis, Ignite, NextJS, Terraform
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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.

    Pro Gambling. Sports Forecasting Platform details
    Industry
    Sports Betting, iGaming, AI and Machine Learning, Big Data
    Region
    South America
    Client since
    2021
    Technologies
    AWS, Kubernetes, Istio, Spring Boot, Kafka, Flink, Cassandra, Pinot, Redis, Ignite, NextJS, Terraform
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    Web3 & Blockchain

    Dostyq. Loyalty Platform.

    Pharos Production partnered with Dostyq to create a modern loyalty and rewards platform that helps users collect, manage, and exchange bonuses, gift certificates, and cashback in one place. The app makes reward usage easier by enabling instant and secure transfers and redemptions. Since 2018, Dostyq has become a trusted shopping partner in Kazakhstan, increasing customer engagement and helping retailers strengthen loyalty programs on a large scale.

    Dostyq. Loyalty Platform. details
    Industry
    Shopping
    Region
    Kazakhstan
    Client since
    2018
    Technologies
    AWS, Kubernetes, Istio, Vert.X, Kafka, PostgreSQL, NextJS, Android.
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    Casino & Sportsbook

    Gambit Stream Sportsbook Platform

    Pharos Production collaborated with Gambit Stream to launch a modern, scalable sportsbook tailored for a global audience. Built on AWS, Kubernetes, Istio, Spring Boot, Pulsar, Flink, ClickHouse, Cassandra, and NextJS, the platform offers instant odds, live-stream betting, and secure wallet management. With integrated risk controls and real-time analytics, it ensures a seamless experience for both players and operators. Since 2021, the new system has accelerated user onboarding, increased engagement with live betting, streamlined operations, and established a scalable foundation for expansion into new markets.

    Gambit Stream Sportsbook Platform details
    Industry
    Sports betting
    Region
    Global
    Client since
    2021
    Technologies
    AWS, Kubernetes, Istio, Spring Boot, Pulsar, Flink, Clickhouse, Cassandra, NextJS

Reviews

Independent reviews from Clutch, GoodFirms and Google - verified client feedback on our software projects

Based on 15 verified client reviews

5 out of 5 stars
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.

Melanie Tran
Photo of Melanie Tran

Melanie Tran

Business Owner, Fitness Studio "Iron Pulse"

Read review
5 out of 5 stars
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.

Artur Lipski
Photo of Artur Lipski

Artur Lipski

CEO, IT Company "Nexora"

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5 out of 5 stars
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.

William Volk
Photo of William Volk

William Volk

CEO, Game Publishing Company "Iron Forge Games"

Read review
5 out of 5 stars
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.

Ahmed Al Omran
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Ahmed Al Omran

Founder, FinTech Service Company "NovaPay"

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5 out of 5 stars
Web3 & Blockchain

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.

Max Krupyshev
Photo of Max Krupyshev

Max Krupyshev

Co-Founder, Crypto Payment Solutions "VaultPay"

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5 out of 5 stars
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.

Nils Thomsen
Photo of Nils Thomsen

Nils Thomsen

Founder, Lotto Games Studio "Lotto Nation"

Read review
5 out of 5 stars
Web3 & Blockchain

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.

Karl Brians
Photo of Karl Brians

Karl Brians

CEO, Crypto Assets Firm "Vaultora"

Read review
5 out of 5 stars
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.

Jose Ramirez
Photo of Jose Ramirez

Jose Ramirez

General Manager, Taxi Aggregator Company "Yellow Cab"

Read review
5 out of 5 stars
Healthcare

Pharos Production delivered a secure and scalable healthcare platform that integrated seamlessly with our existing clinical systems and workflows. The integration reduced data entry time by 35% and eliminated duplicate patient records across three hospital locations. Their team demonstrated strong domain expertise, clear communication and consistent delivery throughout the project lifecycle.

Michael Reynolds
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Michael Reynolds

Chief Information Officer, NorthBridge Health Systems

Medcore EHR details
5 out of 5 stars
Healthcare

Pharos Production helped us modernize our patient-facing applications while ensuring full compliance with healthcare security and privacy requirements. The new platform increased patient portal adoption from 22% to 68% within six months of launch. The project was delivered on schedule and significantly improved both clinician efficiency and patient engagement.

Laura Mitchell
Photo of Laura Mitchell

Laura Mitchell

Director of Digital Transformation, AuroraCare Medical Group

CareConnect platform details
5 out of 5 stars
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!

Daniel Foster
Photo of Daniel Foster

Daniel Foster

Vice President of Health IT, Vitalis Integrated Care Network

Medcore EHR details
5 out of 5 stars
Healthcare

Pharos Production provided us with an exceptional healthcare software platform that excelled in both regulatory compliance and user experience. The system has maintained 99.97% uptime since launch and processes over 200,000 clinical transactions daily. Their meticulous delivery process and deep expertise in clinical systems have firmly established them as our reliable long-term technology partner.

Robert Hayes
Photo of Robert Hayes

Robert Hayes

Chief Technology Officer, MedAxis Clinical Solutions

CareConnect platform details
5 out of 5 stars
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!

Susan Walker
Photo of Susan Walker

Susan Walker

Chief Digital Officer, BlueHarbor Healthcare Alliance

CareConnect platform details
5 out of 5 stars
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!

Emily Carter
Photo of Emily Carter

Emily Carter

Head of Product and Innovation, NovaWell Digital Health Services

CareConnect platform details
5 out of 5 stars
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!

Thomas Bennett
Photo of Thomas Bennett

Thomas Bennett

Director of Information Systems, Crestline Hospital Technologies

Medcore EHR details

Measurable results

70+ Applications delivered
200+ Clients worldwide
5/5 Clutch rating (2026)
12+ Years in production

Pharos Production - Ready to build your recommendation engine? From collaborative filtering to hybrid ML models - share your personalization requirements and get an estimate in 48 hours. Start Your Recommender Project.

Choose your cooperation model

Suitable for the project test
MVP

Core software architecture, initial UI/UX, working prototype in 3 months

$10,000-$25,000
Popular choice
Suitable in 9 out of 10 cases
Full-fledged Production

Software architecture, UI/UX, customized software development, manual and automated testing, cloud deployment

$25,000-$50,000
Turnkey development
Full-cycle Development

Comprehensive software architecture and documentation, UI/UX design layouts, UI kit, clickable prototypes, cloud deployment, continuous integration, as well as automated monitoring and notifications.

$50,000-$80,000

Prices vary based on project scope, complexity, timeline and requirements. Contact us for a personalized estimate.

Or select the appropriate interaction model

Request staff augmentation

Need extra hands on your software project? Our developers can jump in at any stage – from architecture to auditing – and integrate seamlessly with your team to fill any technical gaps.

Popular choice

Hire dedicated experts

Whether you’re building from scratch or scaling fast, our engineers are ready to step in. You stay in control, and we handle the code.

Outsource your project

From first line to final audit, we handle the entire development process. We’ll deliver secure, production-ready smart contracts, while you can focus on your business.

Comparison of engagement models at Pharos Production
Model Best for Team setup Budget range
Staff Augmentation Existing teams needing extra engineers at any project stage 1-2 weeks From $5,000/month
Dedicated Team Popular Long-term projects requiring full ownership and control 2-4 weeks From $15,000/month
Project Outsourcing Full-cycle development from idea to production launch 1-2 weeks $10,000-$80,000+

An approach to the development cycle

The Pharos Delivery Framework divides every project into 2-week sprints. 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. This methodology is why agile projects are 3x more likely to succeed than waterfall (Standish Group CHAOS Report, 2024).

  1. Team Assembly

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

  2. MVP

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

  3. Production

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

  4. Ongoing

    Continuous Support

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

108+ technologies

Recommender system technologies, tools and frameworks we use

Our engineers work with 108+ technologies across blockchain, backend, frontend, mobile and DevOps - chosen for production reliability and performance.

Frameworks

Backend Frameworks 5

Spring Boot
Spring Boot
Erlang OTP
Erlang OTP
NodeJS
NodeJS
Phoenix
Phoenix
NestJS
NestJS

Front End Frameworks 4

React
React
Next.JS
Next.JS
Svelte
Svelte
Angular
Angular

Mobile Apps Frameworks 9

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 33

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 4

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

DevOps

DevOps Tools 9

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

Clouds

Clouds 3

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

Databases

Databases 9

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 3

Kafka
Kafka
RabbitMQ
RabbitMQ
Flink
Flink

Tests

Test Automation Tools 6

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

Programming

Programming Languages 11

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 12

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
Trusted & Certified

Partnerships & Awards

Recognized on Clutch, GoodFirms and The Manifest for software engineering excellence

  • Partner1
  • Partner2
  • Partner3
  • Partner4
  • Partner5
65+ industry awards

FAQ

Last updated: March 28, 2026 Reviewed by: Dmytro Nasyrov (Founder, Solutions Architect)

Answers to common questions about recommender system development and ML-powered personalization.

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    Pharos Production builds custom recommender engines using collaborative filtering, content-based filtering and deep learning models tailored to your specific user data and business domain. Our systems integrate with existing product catalogs and user analytics via scalable APIs. Related: E-Commerce and Media solutions.

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    Pharos Production implements real-time recommendation pipelines using stream processing, feature stores and online ML inference. Response times under 50ms at scale, suitable for e-commerce search, content feeds and dynamic pricing.

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    Pharos Production implements collaborative filtering, content-based filtering, matrix factorization, deep learning (neural collaborative filtering), reinforcement learning and hybrid ensemble approaches depending on data availability and use case requirements.

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    Costs depend on data volume, model complexity and integration scope. A basic product recommendation MVP may start from $30,000-$60,000, while an enterprise personalization platform can range from $100,000 to $300,000+. Request a free estimate.

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    A recommendation engine MVP typically takes 2-4 months including data pipeline setup, model training and API integration. A full personalization platform with A/B testing may require 4-8 months.

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    Pharos Production handles cold-start scenarios with content-based approaches and popularity-based fallbacks. As user interaction data grows, the system progressively shifts to collaborative and hybrid models for better accuracy.

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    If you have fewer than 10,000 users or 500 items, Algolia Recommend or Amazon Personalize will handle your needs at lower cost. Custom recommendation engines make sense when you need proprietary ML models, real-time collaborative filtering across millions of interactions or hybrid approaches that combine content, behavior and context signals.

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    Recommendation models must be trained, tested and validated against real user behavior iteratively. Our 2-week sprints include A/B testing of model variants and conversion rate measurement at every iteration, ensuring the algorithm improves measurably.

    Agile projects are 3x more likely to succeed (Standish Group, 2024).

Dmytro Nasyrov, Founder and CTO at Pharos Production
Dmytro Nasyrov Founder & CTO Let’s work together!

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