01
Manual Reporting
Reduce repetitive data preparation and reporting work through automated workflows and decision-ready summaries.
AI & data consulting / solution development
Turn Data into Decisions.AI into Action.
JVL designs and builds practical AI and data solutions that help businesses automate work, uncover insights, and make better decisions.
01Strategy
02Data
03Product
04Delivery
How We Help
From fragmented data to practical business solutions
We identify where data and automation can create real value, then design and build solutions that fit the way your organization already works.
02
Disconnected Business Data
Connect information across sales, marketing, customers, products, finance, and operational systems.
03
Difficult Decision-Making
Transform business data into clear insights, alerts, and recommended actions.
04
Ideas Without a Clear Roadmap
Identify valuable use cases and define a realistic path from business requirements to implementation.
What We Do
Strategy, data, AI, and implementation in one team
One focused team from business requirements through architecture, build, validation, and deployment.
01
AI & Data Strategy
Assess business objectives, current processes, data readiness, and suitable opportunities. Define scope, priorities, success criteria, and an implementation roadmap.
- Opportunity assessment
- Project roadmap
- Success criteria
02
Data Analytics & Decision Systems
Build automated reporting, dashboards, performance monitoring, anomaly detection, and decision-support systems that turn information into action.
- Automated reporting
- Monitoring
- Decision support
03
Custom AI Applications
Develop internal tools, copilots, knowledge platforms, workflow automation, and LLM-powered applications designed around real business processes.
- Internal tools
- Knowledge systems
- Workflow automation
04
Data Integration & Infrastructure
Connect business systems, structure data flows, design databases, and establish scalable technical foundations for analytics and AI.
- System integration
- Data pipelines
- Cloud foundations
Selected Products & Builds
Solutions we have designed and developed
Internally developed products and platforms that demonstrate how we approach complex business systems.
Product 01
AI Data Analysis Copilot
- Challenge
- Business information is often distributed across multiple datasets and requires significant manual work to analyze.
- Solution
- A SaaS platform that connects business data with automated analysis, data visualization, and AI-generated insights to support decision-making.
Capabilities
- Business data integration
- Automated data analysis
- AI-powered insight generation
- Data visualization and reporting
- Full-stack SaaS development
Product 02
AI Marketing Decision Engine
- Challenge
- Marketing teams have access to performance data but often lack clear, timely recommendations about what to do next.
- Solution
- An AI-powered decision system that integrates marketing data, monitors performance, detects risks and opportunities, and generates actionable recommendations automatically.
Capabilities
- Marketing data integration
- Automated performance analysis
- AI-generated recommendations
- Opportunity and risk detection
- Automated executive reporting
Product 03
AI Visibility Tracking Platform
- Challenge
- Brands have limited visibility into how they appear across generative AI and AI-powered search platforms.
- Solution
- A SaaS platform that tracks and analyzes brand and competitor visibility across ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews.
Capabilities
- Multi-platform AI visibility tracking
- Brand and competitor monitoring
- Automated data collection and analysis
- AI-generated insights and reporting
- Web-based SaaS development
How We Work
From business challenge to working solution
A structured process keeps the business objective, technical delivery, and real-world use aligned.
- 1
Discover
Understand the objectives, users, current processes, systems, available data, requirements, and success criteria.
- 2
Design
Define the architecture, data flow, integrations, technology, project scope, and implementation approach.
- 3
Build
Develop the data pipelines, AI capabilities, application interfaces, and system integrations.
- 4
Validate
Test functionality, accuracy, performance, usability, and fit with real operational workflows.
- 5
Deploy & Improve
Launch the solution, monitor performance, resolve issues, and support future improvement and expansion.
Why JVL
Business understanding meets technical execution
Practical systems require more than a model or a dashboard. We connect the objective, the data, the interface, and the operating workflow.
Business-First Approach
Technology is selected around the business objective, not the other way around.
End-to-End Execution
We work from requirements and architecture through development, testing, and deployment.
Direct Collaboration
Clients communicate directly with the people designing and developing their solution.
Practical Implementation
Every solution is designed around accuracy, usability, and integration into real workflows.
Built for Expansion
The architecture can support additional data, functions, users, and capabilities over time.
Meet the Team
A focused team combining strategy, analytics, and development
Direct collaboration with the people responsible for shaping, building, and validating the solution.
Jettawat Vuttipakdee
AI & Data Strategy / Solution Development
Jettawat has a background in Business Analytics and experience across data analytics, market research, and AI product development. He transforms business requirements into practical AI and data solutions, covering requirements analysis, solution architecture, product design, development, and implementation.
Core areas
- AI and data solution design
- Business and requirements analysis
- Data engineering
- Data analytics
- AI and full-stack application development
Pimlapas Narongrit
Data Analytics / Solution Implementation
Pimlapas has a background in Business Analytics and experience in data analytics and market research. She specializes in data preparation, statistical analysis, machine learning, visualization, solution testing, and validation.
Core areas
- Data preparation and validation
- Statistical analysis
- Machine learning development and testing
- Data visualization and reporting
- Quality assurance
AI & Data
Python, SQL, LLM APIs, RAG, Embeddings, Data Processing
Application Development
Next.js, React, TypeScript, APIs, LangGraph, LangChain, FastAPI, Google Cloud (GCP), Cloud Run
Infrastructure
Supabase, PostgreSQL, Google Cloud, Cloud Run
Analytics
Power BI, Python, R
Our Mission
Practical AI. Measurable business value.
Our mission is to help organizations turn data and AI into practical solutions that create real business value, support better decisions, and provide a foundation for long-term growth.
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Contact
Have a business problem that data or AI could solve?
Get in touch directly, or use the project enquiry form below to give us more context.
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Project Enquiry
Tell us what you want to improve.
Share your current process, challenge, systems, or idea. We will help you determine what is practical, where to begin, and what the right solution could look like.