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GLOBALLY RECOGNIZED AI SOLUTIONS PROVIDER

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Top Blockchain Company in 2023

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Innovators of the Year 2019

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Member of Forbes Technology Council

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Top AI Consulting Company in 2023

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Recognized Eco Software Company

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Breakthrough of the Year 2019

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Top 1% in the World by Clutch.co

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AI Maturation Company in 2023

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Top Web3 Company 2023

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Top JavaScript Developers in 2023

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Top Python and Django Developers 2023

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AI Development Services We Provide

We provide software development services using data and AI to solve real business challenges.

AI application development

  • - Computer vision platforms
  • - Machine learning solutions
  • - Voice and speech recognition tools
  • - Neural networks
  • - Advanced recommendation systems
  • - Predictive analytics software

Generative AI model development

  • - Intelligent chatbots and virtual assistants
  • - Natural language generation tools
  • - Speech synthesis and signal processing
  • - Text-to-image tools

Co-AI model training and evaluation

  • - Data evaluation
  • - Model development
  • - Model training
  • - Model optimization
  • - Deployment

AI API implementation

  • - Custom API development
  • - Third-party API integration
  • - Data processing and security

AI strategy and consulting

  • - Product idea validation
  • - Technology alignment consulting
  • - Data evaluation
  • - Resource estimation

Natural language processing

  • - Document analysis systems
  • - Question-answer tools
  • - Sentiment analysis

AI-Based Products WeSoftYou Helped Launch and Scale

Vignetto

Vignetto is an OpenAI-powered video generation system designed to revolutionize the process of video creation and editing by integrating advanced OpenAI technologies.

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Client’s feedback

Lilli Johnson

Lilli Johnson

Project Manager

“Throughout the project, they were always willing to listen and adapt to our needs."

LUCA.ai

Luca.ai is an AI-powered learning platform designed to help children overcome dyslexia challenges. By leveraging advanced algorithms and personalized learning techniques, it provides targeted support to enhance reading and writing skills.

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Client’s feedback

Scott Sosso

Scott Sosso

Founder

“What sets WeSoftYou apart is their ability to turn ideas into reality."

Radius.ai

Radius.ai is an AI-driven platform specializing in video analytics and providing businesses with powerful insights.

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Client’s feedback

Paul Mills

Paul Mills

Product Manager

“They ask solid questions when necessary, but mostly work independently"

Avo, Qream

Avo is an AI platform designed to enhance decision-making for sales, finance, and HR teams within organizations. By providing data-driven insights and predictive analytics, it empowers teams to make more informed and strategic decisions.

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Client’s feedback

Yaroslav Khaletskyy

Yaroslav Khaletskyy

Co-Founder

“WeSoftYou works hard to ensure the project goes well."

AI Development and Consulting Services Trusted by the U.S. Government and Fortune 500 Companies

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Accurate Estimates

Get 100% match rate thanks to our deep industry-expertise and meticulous planning.



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Top Talents on Your Project

Our team comprises the top 3% of talent, consisting of highly experienced and skilled AI developers.


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Data Security and Privacy

WeSoftYou prioritizes data privacy and security, ensuring that AI solutions comply with industry standards and protect sensitive information.

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and +75 more

Technologies We Use for Building AI Products

Languages

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Visualization

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DBMS

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Frameworks and tools

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Cloud Platforms

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Architectures

On-premises, cloud, hybrid

Algorithms

Supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction, anomaly detection, pattern search), ensembles, reinforcement learning

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Build AI Product Tailored to Your Industry Specific

  • Fraud Detection and Prevention
  • Sybil Attack Prevention
  • Smart Contract Security Audits
  • Credit Risk Assessment for DeFi Loans
  • Algorithmic Portfolio Management
  • Network Congestion Management
  • AI-powered Chatbots for dApp Support
  • Data Privacy Management
  • Decentralized Autonomous Organization (DAO) Voting Mechanisms
  • Decentralized Exchange (DEX) Market Analysis and Forecasting
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  • Personalized Learning Paths with Adaptive Algorithms
  • Predictive Analytics for Student Success
  • Data-Driven Curriculum Development
  • Smart Scheduling Tools for Educators and Students
  • Intelligent Tutoring Systems
  • Automated Grading and Assessment
  • Enhanced Language Learning with NLP
  • AI-Powered Virtual Classrooms
  • Educational Content Recommendation Systems
  • Remote Proctoring and Academic Integrity
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  • Fraud Detection and Prevention
  • Predictive Analytics for Credit Risk Assessment
  • Customer Service with AI-Powered Chatbots
  • Personalized Financial Planning and Advice
  • Automated Regulatory Compliance
  • Intelligent Process Automation for Back-Office Operations
  • Risk Management with AI-Powered Systems
  • Investment Portfolio Optimization
  • AI-Driven Market Analysis and Forecasting
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  • Customer Behavior Analysis with Deep Learning
  • Predictive Analytics for Inventory Management
  • Data-Driven Product Recommendations
  • Smart Pricing Tools and Dynamic Pricing Strategies
  • Personalized Shopping Experiences
  • Real-Time Supply Chain Monitoring with AI
  • Automated Customer Support with AI-Powered Chatbots
  • Visual Search and Image Recognition
  • In-Store Analytics with AI
  • Fraud Detection and Prevention in Transactions
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  • Fraud Detection and Prevention (Machine Learning)
  • Personalized Product Recommendations
  • Customer Service with AI Chatbots
  • Demand Forecasting and Inventory Management
  • Dynamic Pricing and Promotions
  • Risk Management for Supply Chains
  • Streamlined Logistics and Delivery
  • Enhanced Security with Biometric Authentication
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Leverage, Implement, Innovate with AI

Whether you're a startup or established business, our AI and ML development services make the difference.

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The Highest AI Development Service Quality Ensured by 36 Standards

Project Charter

Goal, rules and agreements with client.

Project overview

Aka navigation: Project folder, Jira boards, Server links & accesses, All artifacts links.

Project & Product Glossary

A list of specific product and project acronyms, terms, and definitions along with their explanation which stakeholders and team may face during their work on a project.

Testing & Acceptance flow

Described and agreed with client process on "How do we understand that feature is delivered and accepted?".

Workflow

Described processes & schema of your team Sprint workflow with possible client's involvement.

Jira workflow

Described process on how to move tickets on Jira, explanations of statuses, adding version of releases, etc.

Tech/DevOps 
& Infrustructure

Described (schemas) all instances, its links, accesses, configurations (memory), CI/CD flow.

Tech/Code review

Described code review process adjusted to the project.

Tech/VCM

Described version control managment on the project.

Tech/Release rules

Described process on "How release must be prepared?". Creating & posting release notes, releasr ceremnonies.

Tech/Architecture 
& Stucture

Described architecture, structure, 
tech stack.

Code quality

Check the quality of the code itself, if it follows the best practices etc.

Stakeholder register

Stakeholder register records information about project stakeholders, which includes an assessment and classification of project stakeholders.

Team roster

List of all the current project team members WSU and client sides.

RACI

Who is responsible for what on the whole project

Communication plan

The communation plan for the internal and external communications.

Tools to Use

List of agreed tools to use (slack, google docs, zoom, github, etc).

Action & Issue log

Updated action lists for client and WSU include purposes and monitoring, while an issue log tracks and assigns resolution for potential project impacts.

WBS

Work breakdown structure: a chart outlining all project tasks needed to achieve objectives and deliverables.

ChangeLog / Register

Change log: a record of all changes requested for a project, including modifications to deliverables and documents, along with their statuses.

Release notes

List of functionality (features, bugfixes, optimization, etc) that were provided in specific releases.

Gantt Chart

Schedule chart shows delivery dates for features, including milestones, with activities and their durations displayed as horizontal bars along a timeline.

Milestones

List of projects Milestones - the specific important or significant events on the client or WSU side.

Velocity

Team velocity calculation, tracking and forecast.

Hours reports & description

Weekly reports on spend hours and list of work was done (activities each team member was busy with).

RISK register

A list of project risks, scores, preventive actions, responses if risks occur, and responsible parties, providing a detailed overview of each risk.

RETRO file

List of retro items for the passed sprint - what was good, what was bad, actions to prevent "bad" items and improve team performance.

People Healthcheck

Employee health check data - risk scores, successors, agreements, etc.

1:1 Tracker

1:1 Tracker with dates of planned 1-2-1 meetings.

Review's schedule Tracker

Review's schedule (salary) tracker with planned dates.

Performance review & forms

Employee Performance review.

Performance review SYNCs

Schedule regular syncs before the next review to ensure goals are current and adjust career plans as needed.

Test plan

Test plan describes deliverables that will be tested, tests that will be conducted, and the processes that will be used in testing. It forms the basis for formally testing the components and deliverables.

QA checklist

QA checklist doc for Smoke and Regression testing.

Test cases

List of Project test cases with its description. Can be managed in TestRail.

Bugs register & KPI

Tracker of bugs for each sprint: amount of bugs, etc. Details TBD

Project Healthcheck

Reported statuses of the projects in each category.

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36 Standards of Quality

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Hiring the top 3% of talent

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100% Estimates Match

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23 Reviews

Let’s talk about your AI project

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Frequently Asked Questions

How long will it take to launch an AI product?

Launching an AI solution typically takes 3 to 9 months, depending on project complexity, data availability, and resource allocation. The process begins with 2-4 weeks of planning and requirement gathering, followed by 4-8 weeks of data collection and preparation. Model selection and training take 4-12 weeks, while development and integration span 6-16 weeks. Testing and validation require 4-8 weeks, and deployment and monitoring take 2-4 weeks. Finally, 2-4 weeks are needed for training users and managing change. Complex projects may take longer, with continuous monitoring and iterative improvements ongoing post-launch.

How much does it cost to launch an AI solution?

The cost of launching an AI solution can vary widely based on project complexity, data requirements, technology stack, and needed expertise. Expenses typically include initial planning and consultation, data collection and preparation, model development and training, software development and integration, testing and validation, deployment and monitoring, and user training and change management. Additionally, ongoing maintenance and continuous improvement will contribute to the overall cost. Generally, costs can range significantly depending on the specific needs and scale of the project.

How do you ensure the security of my data?

We ensure the security of your data in our AI solutions through advanced encryption, strict access control, and regular security audits. Our AI data security practices comply with industry standards such as GDPR and HIPAA, utilizing multi-factor authentication for additional protection. We anonymize data where applicable and employ secure storage solutions to safeguard sensitive information. Continuous monitoring detects and responds to potential threats in real time, and our team receives regular training on the latest AI data security protocols to maintain the highest level of protection.

What are the ethical considerations of AI development?

Ethical considerations in AI development include addressing bias and fairness by using diverse datasets and monitoring algorithms, ensuring transparency and explainability of AI decisions, and safeguarding privacy and data security. Developers must take responsibility for AI actions, establish accountability frameworks, and obtain informed consent from users. Maintaining human oversight is crucial to complement human decision-making and prevent over-reliance on AI. Assessing social and environmental impacts, optimizing energy efficiency, and designing accessible and inclusive AI systems are essential. Additionally, considering the long-term consequences and potential risks of AI technologies ensures they contribute positively to society.

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Maksym Petruk, CEO

Maksym Petruk
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