
Data Science
as a Service
Unlock the power of your data with PinoByte. From actionable insights to Gen AI, fuel innovation and drive growth with your most valuable asset.
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Data Science+Solutions We Offer

Computer Vision
Empower your business with AI-powered image recognition, fine-grained image classification, object detection, and visual data analysis.

Predictive Analysis
Uncover trends, forecast outcomes, and boost sales with actionable insights through advanced analytics, automation, and optimization.
Looking to unlock+the Power of your Data?
Let us prepare a FREE technical proposal for you in just 2 days!
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What Sets Us Apart?
{ 01 }
Data-Focused Expertise
We specialize in data-focused solutions, excelling at every stage
of the lifecycle—from collection to actionable insights.
{ 02 }
Data Collection from Anywhere
Don’t have data? No problem. We’re experts in web scraping and data collection, ready to gather exactly what you need.
{ 03 }
Product-Oriented Mindset
We’re not just about technologies—we’re about solving your business goals. By choosing the quickest, most effective approach while maintaining excellent quality, we deliver results that matter.
{ 04 }
Existing data Solutions
We don’t just offer services—we provide ready-to-use data solutions that help businesses achieve results quickly and efficiently.
{ 05 }
Startup Partner
As founders ourselves, we understand the challenges of launching new applications. Through our partnership, we help startups go to market fast with lower rates.
{ 06 }
Commitment to Responsibility
We take ownership of every project, ensuring accountability
and delivering results you can rely on. Your success is our priority.
Data Science
Development Process
Discovery
Goals
This is a crucial first step where we gather requirements, understand the client's needs, and identify potential challenges. It sets the foundation for the entire project.
Book a consultation
Team
- Business Analyst
- Project Manager
- Technical Lead / Architect
Outcome
- Requirements Document
- Feasibility Report
- Initial User Personas
Discovery
1
1
1
Proposal & Estimations
Goals
After understanding the project requirements, this step involves creating a detailed proposal that includes cost estimations, timelines, and scope. It's important to establish clear expectations and agreement before proceeding.
Book a consultation
Team
- Business Analyst
- Project Manager
- Technical Lead / Architect
Outcome
- Project Proposal
- System Architecture
- Project Plan Outline
Proposal & Estimations
2
2
2
Workshop & Initiation
Goals
Workshops help to further refine requirements, align expectations, and initiate the project with all stakeholders on the same page. This step is crucial to ensuring everyone understands the goals and processes involved.
Book a consultation
Team
- Business Analyst
- Project Manager
- Technical Lead / Architect
Outcome
- Workshop Notes
- Refined Requirements Document
Workshop & Initiation
3
3
3
Planning
Goals
A detailed plan is created based on the insights gathered from the discovery and workshops. This includes project timelines, resource allocation, and risk management strategies. Proper planning ensures smooth execution.
Book a consultation
Team
- Business Analyst
- Project Manager
- Technical Lead / Architect
- QA Lead
Outcome
- Workshop Notes
- Refined Requirements Document
- Initial Wireframes/Design Sketches
Planning
4
4
4
Execution
Goals
This phase is where development takes the lead. Teams execute the project plan, diligently building the product while iterating and testing continuously to ensure it meets quality standards. It’s a critical phase that turns concepts into a working, finished product.
Book a consultation
Team
- Project Manager
- BE, ML, Data & FE Engineers
- UI/UX Designer
- QA Engineers
- Technical Leads / Architect
- DevOps
Outcome
- Source Code
- Design Prototypes
Execution
5
5
5
Delivery
Goals
Once the product has been developed and tested, it is delivered to the client. This includes final quality assurance, deployment, and handover. Delivery is a critical phase that marks the transition from development to operational use.
Book a consultation
Team
- Project Manager
- BE, ML, Data & FE Engineers
- QA Engineers
- Technical Leads / Architect
- DevOps
Outcome
- Fully functional product
- Deployment readiness
- Documentation
Delivery
6
6
6
Support & Maintain
Goals
Ensure the product’s continuous performance and reliability through regular updates, issue resolution, and enhancements based on user feedback.
Book a consultation
Team
- Project Manager
- BE, ML, Data & FE Engineers
- QA Engineers
- DevOps
Outcome
- Regular updates and feature enhancements
- Long-term product relevance
- Ongoing user satisfaction and support
Support & Maintain
7
7
7
Data Science
Development process
Goals
This is a crucial first step where we gather requirements, understand the client's needs, and identify potential challenges. It sets the foundation for the entire project.
Team
- Business Analyst
- Project Manager
- Technical Lead / Architect
Outcome
- Requirements Document
- Feasibility Report
- Initial User Personas
Book a consultation
Goals
After understanding the project requirements, this step involves creating a detailed proposal that includes cost estimations, timelines, and scope. It's important to establish clear expectations and agreement before proceeding.
Team
- Business Analyst
- Project Manager
- Technical Lead / Architect
Outcome
- Project Proposal
- System Architecture
- Project Plan Outline
Book a consultation
Goals
Workshops help to further refine requirements, align expectations, and initiate the project with all stakeholders on the same page. This step is crucial to ensuring everyone understands the goals and processes involved.
Team
- Business Analyst
- Project Manager
- Technical Lead / Architect
Outcome
- Workshop Notes
- Refined Requirements Document
Book a consultation
Goals
A detailed plan is created based on the insights gathered from the discovery and workshops. This includes project timelines, resource allocation, and risk management strategies. Proper planning ensures smooth execution.
Team
- Business Analyst
- Project Manager
- Technical Lead / Architect
- QA Lead
Outcome
- Workshop Notes
- Refined Requirements Document
- Initial Wireframes/Design Sketches
Book a consultation
Goals
This phase is where development takes the lead. Teams execute the project plan, diligently building the product while iterating and testing continuously to ensure it meets quality standards. It’s a critical phase that turns concepts into a working, finished product.
Team
- Project Manager
- BE, ML, Data & FE Engineers
- UI/UX Designer
- QA Engineers
- Technical Leads / Architect
- DevOps
Outcome
- Source Code
- Design Prototypes
Book a consultation
Goals
Once the product has been developed and tested, it is delivered to the client. This includes final quality assurance, deployment, and handover. Delivery is a critical phase that marks the transition from development to operational use.
Team
- Project Manager
- BE, ML, Data & FE Engineers
- QA Engineers
- Technical Leads / Architect
- DevOps
Outcome
- Fully functional product
- Deployment readiness
- Documentation
Book a consultation
Goals
Ensure the product’s continuous performance and reliability through regular updates, issue resolution, and enhancements based on user feedback.
Team
- Project Manager
- BE, ML, Data & FE Engineers
- QA Engineers
- DevOps
Outcome
- Regular updates and feature enhancements
- Long-term product relevance
- Ongoing user satisfaction and support
Book a consultation