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Cloud + AI architecture
Cloud-native designs using AI services, APIs, data systems, workflows, serverless patterns and observability
AI-powered cloud solutions that connect to real business systems.
We help organizations move from AI ideas to secure architecture, working MVPs and practical integration with databases, APIs, workflows and human review
Cloud + AIarchitecture and integration
API-firstmodern app integration mindset
SAGASQLfirst MVP product in development
Who we are
BAYOR Cloud & AI Solutions is an Ontario-registered sole proprietorship led by Mohamed Ashraf Bayor, combining long-standing system integration experience with modern Cloud + AI solution design.
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Modern integration
Connect AI capabilities to existing databases, APIs, internal tools, workflows and security controls
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MVP leadership
Scope, design and guide secure proof-of-concepts that can evolve into real internal or commercial products
AI
Custom AI solutions
Internal copilots, reporting helpers, document automation, developer tools and agentic workflows
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Cloud-native engineering
Serverless, queues, APIs, containers, managed databases, backend services and scalable delivery patterns
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Technical advisory
Use-case review, architecture blueprint, risk reduction, MVP plan and delivery guidance
Featured MVP: SAGASQL
Our first MVP product shows how BAYOR applies Cloud + AI architecture to a real business use case: natural-language SQL generation with schema context, sandbox validation and human review
SAGASQL
A schema-driven AI workflow that turns business questions into database-specific SQL, validates the result in a cloud sandbox and returns evidence for human review
Schema-Driven Agentic SQL Generation
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Ask
Plain-language question in supported languages
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Schema
DDL schema plus optional client test data
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Generate
Single-model mode for speed or two-model mode for confidence
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Validate
Sandbox test, guardrails and SQL regeneration if needed
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Return
SQL, explanation, test evidence and human review signal
SQL
Initial database support
PostgreSQL, MySQL and SQL Server first. More SQL dialects can be added over time
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Test data options
Generate 10, 100, 1000+ rows per table or allow clients to upload their own test data per table
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Future reporting UI
Saved requests, workflow history, IDE plugin integration, charts, tables, exports and dashboards
Projects and product experience
Current products and earlier projects that show the product-building, integration and developer-tooling background behind BAYOR
Active / current focus
In development
SAGASQL
Schema-Driven Agentic SQL Generation: natural language + DDL schema + optional test data → validated SQL with sandbox evidence
View product summary →Current / active
HALIBOTS
Hub for Applied Learning in Robotics: cloud-based robotics learning for coding challenges, real-robot interaction and AI-assisted feedback
Visit halibots.dev →Earlier / paused projects
Paused
JAPO
Java Annotations Repo: search engine and knowledge base for Java annotations, including web/product experience and IntelliJ plugin presence
Visit japo.dev →Open-source
Froporec
Java annotation processor focused on POJO-to-record generation, deeply immutable records and record composition patterns
Visit froporec.org →Open-source
JISEL
Java open-source library project from earlier product and developer-tooling work
Visit jisel.org →Download the overview
The PDF contains the full company context, founder background, SAGASQL details, MVP workflow, trust model and engagement options
Company + SAGASQL PDF
Download the English version now. French and Spanish versions are reserved for global outreach
Express interest or book a call
Want to learn more about BAYOR, SAGASQL, our product direction or how Cloud + AI can integrate with your systems? Send a short note and we can schedule an intro call.