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Data Science Development Services

We combine deep expertise in machine learning engineering, data architecture, MLOps, and cloud-native development to deliver scalable, secure, and production-ready AI systems.

Data Science Development Services

Core Data Science Development Services

From machine learning pipelines and predictive analytics to AI infrastructure, we provide end-to-end data science services for organizations of all sizes.

AI development

We build custom AI solutions designed to process and analyze unstructured data using technologies such as NLP, computer vision, OCR, speech recognition, and semantic search.

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AI development

We build custom AI solutions designed to process and analyze unstructured data using technologies such as NLP, computer vision, OCR, speech recognition, and semantic search.

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Machine learning development

We design and deploy machine learning systems tailored to complex business environments and high-volume data ecosystems.

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Machine learning development

We design and deploy machine learning systems tailored to complex business environments and high-volume data ecosystems.

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LLM development

Our expertise covers model fine-tuning, Retrieval-Augmented Generation (RAG), prompt engineering, vector search, and secure deployment architectures optimized for performance, accuracy, and production reliability.

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LLM development

Our expertise covers model fine-tuning, Retrieval-Augmented Generation (RAG), prompt engineering, vector search, and secure deployment architectures optimized for performance, accuracy, and production reliability.

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Data Engineering

Our expertise includes ETL/ELT pipelines, real-time data processing, distributed architectures, data lakes, warehouse modernization, and automated data quality monitoring for enterprise-scale analytics workloads.

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Data Engineering

Our expertise includes ETL/ELT pipelines, real-time data processing, distributed architectures, data lakes, warehouse modernization, and automated data quality monitoring for enterprise-scale analytics workloads.

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AI & Data Engineering Solutions

We develop enterprise-grade data science and AI solutions that combine machine learning, scalable data infrastructure, and cloud-native engineering.

Image and speech recognition systems

We develop intelligent image and speech recognition systems that enable automated visual analysis, voice processing, object detection, transcription, and real-time multimedia understanding.

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Image and speech recognition systems

We develop intelligent image and speech recognition systems that enable automated visual analysis, voice processing, object detection, transcription, and real-time multimedia understanding.

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Recommendation and personalization engines

We develop recommendation and personalization engines that leverage machine learning and behavioral analytics to deliver tailored content, product suggestions, and user experiences.

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Recommendation and personalization engines

We develop recommendation and personalization engines that leverage machine learning and behavioral analytics to deliver tailored content, product suggestions, and user experiences.

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NLP and computer vision solutions

We develop NLP and computer vision solutions that enable intelligent text and image processing, including semantic analysis, document understanding, object detection, visual recognition, and automated content interpretation.

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NLP and computer vision solutions

We develop NLP and computer vision solutions that enable intelligent text and image processing, including semantic analysis, document understanding, object detection, visual recognition, and automated content interpretation.

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Advanced forecasting models

We develop advanced forecasting models that use machine learning and predictive analytics to improve demand planning, financial forecasting, risk assessment, and operational decision-making.

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Advanced forecasting models

We develop advanced forecasting models that use machine learning and predictive analytics to improve demand planning, financial forecasting, risk assessment, and operational decision-making.

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Schedule a technical discovery call

Our Data Science Development Lifecycle

We follow a structured development lifecycle to deliver scalable, production-ready AI solutions from discovery to deployment and optimization.

Discovery

We analyze your business and technical requirements as well as data maturity. You will get a technical roadmap, solution architecture and delivery strategy.

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Discovery

We analyze your business and technical requirements as well as data maturity. You will get a technical roadmap, solution architecture and delivery strategy.

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Data Preparation

We collect, clean, transform, and structure data to ensure high-quality inputs for analytics and machine learning workflows.

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Data Preparation

We collect, clean, transform, and structure data to ensure high-quality inputs for analytics and machine learning workflows.

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Data processing

We build scalable data pipelines and processing architectures that support reliable, high-performance analytics environments.

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Data processing

We build scalable data pipelines and processing architectures that support reliable, high-performance analytics environments.

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Model development and validation

Our team develops and evaluates machine learning models using iterative experimentation frameworks. We validate model accuracy through rigorous testing and performance evaluation.

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Model development and validation

Our team develops and evaluates machine learning models using iterative experimentation frameworks. We validate model accuracy through rigorous testing and performance evaluation.

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Deployment and integration

We deploy AI models into production environments and integrate them seamlessly with existing platforms, applications, and workflows.

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Deployment and integration

We deploy AI models into production environments and integrate them seamlessly with existing platforms, applications, and workflows.

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Post-launch support

We continuously monitor system performance, detect model drift, and optimize infrastructure and algorithms to maintain long-term efficiency and accuracy.

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Post-launch support

We continuously monitor system performance, detect model drift, and optimize infrastructure and algorithms to maintain long-term efficiency and accuracy.

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Industry-Specific Data Science Solutions

We develop healthcare AI and data science solutions by combining machine learning, advanced analytics, automation, and scalable data infrastructure.

Healthcare

We develop intelligent healthcare solutions that improve diagnostics, patient care, operational efficiency through predictive analytics, medical imaging AI, clinical NLP systems, and forecasting platforms.

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Healthcare

We develop intelligent healthcare solutions that improve diagnostics, patient care, operational efficiency through predictive analytics, medical imaging AI, clinical NLP systems, and forecasting platforms.

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Fintech

We build fintech systems for credit scoring, transaction monitoring, predictive analytics, and intelligent financial automation with a strong focus on security and performance.

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Fintech

We build fintech systems for credit scoring, transaction monitoring, predictive analytics, and intelligent financial automation with a strong focus on security and performance.

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Logistics

We develop intelligent logistics and supply chain systems that improve operational visibility, route optimization, forecasting accuracy, and resource management.

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Logistics

We develop intelligent logistics and supply chain systems that improve operational visibility, route optimization, forecasting accuracy, and resource management.

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E-commerce

We build recommendation engines, dynamic pricing systems, inventory optimization platforms, and customer behavior analytics designed to increase conversions and customer retention.

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E-commerce

We build recommendation engines, dynamic pricing systems, inventory optimization platforms, and customer behavior analytics designed to increase conversions and customer retention.

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Education

For education sector we create recommendation engines for learning content, AI tutoring platforms, predictive student performance analytics, and NLP-powered educational assistants.

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Education

For education sector we create recommendation engines for learning content, AI tutoring platforms, predictive student performance analytics, and NLP-powered educational assistants.

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Entertainment

We develop content recommendation engines, video and audio analytics, generative AI applications, user behavior modeling, and real-time engagement optimization platforms.

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Entertainment

We develop content recommendation engines, video and audio analytics, generative AI applications, user behavior modeling, and real-time engagement optimization platforms.

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What people say

weffect logo

I liked working with them because they were good. With their work, we increased our mobile app’s user usage. We also got reviewed as one of the top 10 employee engagement services in Europe. Their project management was really good. They worked in sprints, and I always communicated directly with their developer. More importantly, they were attentive to our project's details.

Thomas Urban

Thomas Urban

Founder & CTO, Weffect

natp logo

Browser compatibility and readability have increased markedly since the engagement began. Yellow's development process helped them beat deadlines and respond quickly to any technical concerns that arose. Their ability to bring creative ideas of their own to the table made them a valuable partner. Yellow typically understood exactly what the issue was and came back with a fix right away.

Jerry Sparkman

Jerry Sparkman

IT Director, National Association of Tax Professionals

racefully logo

If you are looking for a partner to collaborate with for the development process, I would consider hiring Yellow. Yellow has an intelligent team of developers that collaborated on the project to build a quality app. They follow instructions seamlessly, respond effectively to feedback, and invest themselves in the overall success of the product. I would happily use them again if we needed developing services.

Chris Pointon

Chris Pointon

CTO, Racefully

smartpath logo

Yellow is by far the best at helping us make decisions to push our company forward. I’d heard about them through a personal connection in the Bay Area. Yellow stands out because they’re invested in the results and clients. Every single person on Yellow’s team genuinely cares about what they’re doing. I really appreciate that about them and it’s the main reason we will continue our relationship for as long as possible.

William Hamilton

William Hamilton

Co-Founder, SmartPath.co

speeddigital logo

Yellow quickly and seamlessly assimilated into a fast-paced and nuanced workflow, completing all deliverables on time. Responsive to questions, updates, and issues, they have streamlined management operations and reduced work backlogs by directing communication to appropriate in-house team members.

Eric Morgan

Eric Morgan

Product Manager, Speed Digital

oppsites logo

The new features have been well received by users. Attentive and flexible, the team excelled at responding to stakeholders in a timely matter. Their technical expertise allows them to propose valuable solutions.

Ian Ross

Ian Ross

CEO, OppSites

famlicious logo

Engaged, supportive, and invested in project success, the team offered constructive criticism, creative guidance, and honest communication. Their user-centered approach resulted in a unique and reliable product that operates well on all systems.

Jim Barkow

Jim Barkow

Founder, Famlicious Inc.

separate-us logo

Because of marketing costs, the B2C application fell out of use in favor of a different B2B tool. Yellow was very focused on customer satisfaction, and they participated regularly in standups. They helped solidify features, and they thoroughly explained their process.

Sandro Tuzzo

Sandro Tuzzo

CEO, Separate.us

blackbird logo

We’re impressed with their loyalty and honesty. They were able to stay true to their original quote even though we needed to change and add a few requirements. They’ve done a lot of good work for us on all fronts, but it's amazing to see that they’re able to stick to what they initially promised.

Jon Shower

Jon Shower

CEO, BlackBird

qkss logo

Mainly, I go by client feedback to judge Yellow’s performance, and the clients have been very impressed with their work. The team is exact in what they do, their delivery has been good, and they’re on time and budget.

Adam Plager

Adam Plager

CEO, QKSS

coverium logo

Their performance was good. I didn’t expect that kind of performance from someone working offsite. I was happy that they completed the project ahead of schedule, so we had some time left to work on additional projects and improvements.

Max Abukhovsky

Max Abukhovsky

CEO & Founder, Coverium

hyvery-inc logo

When Yellow is working on a task, they understand how it will impact the product down the line. The team has provided great insight into our processes, making sure we don’t make small mistakes that will impact us in a larger way in the future.

Christopher Bianco

Christopher Bianco

CEO, Hyvery inc.

dealstryker logo

They were very accessible regardless of the time difference as well as communication was good. We had a couple bumps here and there regarding designs that were not originally discussed in our UX/UI designs but they were quick to find solutions as well as any needed changes we requested.

Bradley J. Humble

Bradley J. Humble

Co-Founder & CTO, DealStryker, Inc.

Why Choose Yellow as a Data Science Development Company?

We focus on performance, scalability, security, and long-term maintainability to deliver data science solutions tailored to your needs.

Operational Efficiency

We automate repetitive workflows, reduce manual analysis, and optimize resource allocation through intelligent AI systems.

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Operational Efficiency

We automate repetitive workflows, reduce manual analysis, and optimize resource allocation through intelligent AI systems.

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Scalable Intelligence

Our specialists deploy AI systems capable of handling growing data volumes, increasing user demands, and evolving business requirements.

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Scalable Intelligence

Our specialists deploy AI systems capable of handling growing data volumes, increasing user demands, and evolving business requirements.

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Process Automation

We automate complex and repetitive business processes with AI-driven solutions that improve operational efficiency and reduce manual workload.

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Process Automation

We automate complex and repetitive business processes with AI-driven solutions that improve operational efficiency and reduce manual workload.

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Improved Forecasting Accuracy

Applying scientific analytics, advanced statistical and machine learning models to improve planning, forecasting, and risk mitigation.

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Improved Forecasting Accuracy

Applying scientific analytics, advanced statistical and machine learning models to improve planning, forecasting, and risk mitigation.

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Enhanced Customer Experiences

We deliver highly personalized interactions, recommendations, and intelligent automation across customer touchpoints.

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Enhanced Customer Experiences

We deliver highly personalized interactions, recommendations, and intelligent automation across customer touchpoints.

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Long-Term Competitive Advantage

We provide scalable AI infrastructure, continuously optimized data systems, and future-ready solutions designed to evolve with your business and technological growth.

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Long-Term Competitive Advantage

We provide scalable AI infrastructure, continuously optimized data systems, and future-ready solutions designed to evolve with your business and technological growth.

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Make informed decisions with proven insights

Technologies we use

The set of tools we use for our work:

Programming languages

Python, Scala, Java, Go

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Programming languages

Python, Scala, Java, Go

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Machine Learning Frameworks

TensorFlow, PyTorch, Scikit-learn, XGBoost, LightGBM, Hugging Face Transformers

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Machine Learning Frameworks

TensorFlow, PyTorch, Scikit-learn, XGBoost, LightGBM, Hugging Face Transformers

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Data Engineering Platforms

Apache Spark, Kafka, Hadoop, Airflow

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Data Engineering Platforms

Apache Spark, Kafka, Hadoop, Airflow

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Cloud Infrastructure

Amazon Web Services, Microsoft Azure, Google Cloud Platform

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Cloud Infrastructure

Amazon Web Services, Microsoft Azure, Google Cloud Platform

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Storage & Warehousing

Snowflake, BigQuery, Redshift, PostgreSQL, MongoDB, Cassandra

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Storage & Warehousing

Snowflake, BigQuery, Redshift, PostgreSQL, MongoDB, Cassandra

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MLOps & Deployment

MLflow, Kubeflow, Docker, Kubernetes, Terraform, ArgoCD

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MLOps & Deployment

MLflow, Kubeflow, Docker, Kubernetes, Terraform, ArgoCD

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Visualization & Analytics

Tableau, Power BI, Looker, Grafana, Superset

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Visualization & Analytics

Tableau, Power BI, Looker, Grafana, Superset

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Create powerful AI solution with Yellow

Our expertise

We combine expertise across data science, machine learning engineering, software architecture, DevOps, and cloud infrastructure.

Core Specialists

Data Scientists, ML Engineers, Data Engineers, MLOps Engineers, Cloud Architects, AI Engineers, Backend Engineers

Engineering Principles

Production-first development, Infrastructure as code, Security-by-design, Continuous delivery, Scalable architecture patterns, Data governance and compliance

Technical Expertise

Distributed systems, GPU optimization, Large-scale analytics, AI model deployment, Real-time processing, Enterprise integration

Our works

YWS > Portfolio > Portfolio block > Project preview > Writer Chrome Extension > Cover
predictive-ai-for-marketing
LLM-Driven Legal Document Summarization
Generative AI
 for Process Optimization
ai-for-edtech
Cedar Valley Farms

Answering questions

How long does a typical data science project take?

Project timelines depend on complexity, infrastructure maturity, and data availability. Proof-of-concept initiatives may take several weeks, while enterprise-grade AI platforms often require multi-phase delivery cycles.

Can you integrate with existing systems?

Yes. We design integration architectures compatible with existing APIs, ERP systems, CRMs, cloud environments, and internal data platforms.

How does data science help businesses?

Data science can help you automate processes, collect data to get more insights into your clients, and improve your security.

Do you provide MLOps implementation and support?

Yes. We implement end-to-end MLOps workflows including automated training pipelines, model versioning, experiment tracking, monitoring, drift detection, retraining automation, and infrastructure orchestration.

Do you work with structured and unstructured data?

Yes. Our solutions process structured, semi-structured, and unstructured data including text, documents, images, video, audio, logs, and streaming data sources.