Data platforms. AI systems.
Enterprise impact.

Services

Modernize the platform. Monetize the data. Move faster.

Most organizations do not have a data problem. They have a speed, trust, architecture, and execution problem. Mesubi cuts through that noise by designing modern data ecosystems that are secure, scalable, governed, and built to produce measurable business outcomes.

We work where strategy meets execution: cloud architecture, data engineering, analytics modernization, AI/ML enablement, agent-assisted software delivery, and executive-grade reporting systems that decision makers actually use.

Cloud Modernization

Turn fragmented legacy environments into cloud-native data platforms built for scale.

We design and implement modern data architectures across Azure, Databricks, Delta Lake, ADLS, and enterprise analytics platforms. The focus is simple: reduce technical debt, improve performance, strengthen governance, and create a platform that can support analytics and AI at enterprise speed.

Typical engagements include:

• Lakehouse and medallion architecture design
• On-premise to cloud migration strategy and execution
• Databricks workspace, cluster, security, and performance architecture
• Secure ADLS access, private networking, RBAC, and Unity Catalog governance
• Pipeline modernization, automation, monitoring, and cost optimization

Advanced Analytics

Replace dashboard clutter with decision systems.

Dashboards fail when they are disconnected from business outcomes. We build analytics products that align KPIs, semantic models, data pipelines, and user experience into a single decision layer. The result is faster insight, cleaner governance, and analytics people trust.

Typical engagements include:

• Power BI architecture, semantic modeling, and enterprise reporting design
• Executive scorecards and KPI frameworks
• Self-service analytics enablement with governed datasets
• Report consolidation and performance tuning
• Data quality, lineage, and trusted metric definition

AI / Machine Learning

Move beyond reporting into prediction, classification, and automation.

We help organizations identify practical AI/ML use cases, build production-ready models, and integrate intelligent outputs into business workflows. This includes classification engines, predictive analytics, recommendation systems, NLP, and document intelligence use cases where AI creates measurable operational leverage.

Typical engagements include:

• AI/ML opportunity assessment and roadmap development
• Predictive modeling, classification, and recommendation systems
• Document intelligence, OCR extraction, and entity alignment
• Databricks ML pipelines and model operationalization
• Human-in-the-loop validation and continuous improvement design

AI Agents for Databricks Data Engineering & Delivery

From business rules to tested, governed data changes—with agents supporting every stage.

Mesubi designs agent-assisted engineering workflows for the Databricks lakehouse. Specialized agents can help interpret requirements, prepare SQL and Python changes, generate validation scenarios, and assemble deployment-ready releases. The objective is faster engineering cycles without losing control of data quality, approvals, or production access.

Typical agent responsibilities include:

• Engineering: Draft and review notebooks, SQL transformations, PySpark pipelines, data contracts, and reusable tests.
• Business-rule validation: Translate thresholds, eligibility rules, prioritization, exceptions, and edge cases into deterministic checks; compare expected outcomes to actual results.
• Quality and governance: Detect schema drift, flag failed checks, document lineage implications, and respect Unity Catalog permissions.
• Deployment: Prepare Databricks Asset Bundles, job/workflow configuration, environment-specific release checks, and CI/CD evidence.
• Controlled execution: Route proposed changes through pull requests, automated tests, human approval gates, and monitored releases.

Explore the Databricks agent delivery use case →

AI Agents for Mobile App Development

Accelerate product delivery from requirements through app-store-ready builds.

Drawing on cross-platform application delivery work such as VISTONYA, Mesubi applies AI-assisted workflows to product specification, interface implementation, backend integration, quality assurance, and release preparation. Agents help development teams move through iterative changes while engineers retain ownership of architecture, privacy, security, and final release decisions.

Typical agent responsibilities include:

• Product and UX: Break user journeys into scoped features, acceptance criteria, and accessible, localized interface states.
• Application engineering: Assist with Expo, React Native, TypeScript, navigation, reusable components, and secure Supabase integrations.
• Quality engineering: Generate regression scenarios, review code changes, run lint/type checks, and support integration and device-level testing.
• Privacy and reliability: Validate authentication, partner invitations, media permissions, data retention, and failure recovery against explicit requirements.
• Release operations: Prepare reviewable pull requests, build configurations, versioning, EAS build checks, and staged pilot releases.

Explore the VISTONYA mobile engineering use case →

Report Modernization & Optimized Parameterization

Transform slow, fragile reports into high-performance analytics products.

Many reporting environments are overloaded with duplicated logic, inefficient filters, poorly designed parameters, and reports that collapse under real business usage. Mesubi modernizes reporting estates by improving the underlying data model, simplifying parameter logic, and engineering reports for performance, usability, and maintainability.

Services include:

• Legacy report inventory, rationalization, and migration planning
• Parameter optimization for speed, usability, and reduced query load
• Power BI and paginated report modernization
• Report-to-model refactoring and semantic layer design
• Performance tuning for high-volume, filter-heavy reporting experiences

Case Studies

Databricks: Agent-Assisted Data Engineering, Rules Validation & Deployment

Solution pattern: agentic engineering with governed release controls.

Challenge: Data engineering teams often maintain complex transformation logic and business rules across notebooks, pipelines, and deployment environments. Translating changing policies into reliable code and test coverage creates delays and makes regressions difficult to detect.

Approach: A coordinated workflow uses engineering agents to propose SQL/Python changes, validation agents to turn rule definitions into executable scenarios, and release agents to prepare Databricks configuration and deployment evidence. The workflow incorporates Unity Catalog governance, pull-request review, CI checks, and explicit approval before production promotion.

Value: A repeatable, auditable path from rule definition to tested data logic and controlled deployment. The proposed gains are reduced manual rework, clearer traceability, and faster iteration; outcomes are measured against each engagement's baseline.

VISTONYA: AI-Assisted Cross-Platform Mobile App Delivery

Selected project experience: iterative mobile product engineering.

Challenge: A relationship-focused mobile product needed coordinated delivery of secure onboarding, partner pairing, guided experiences, media features, localization, and consistent behavior across mobile and web environments.

Approach: The VISTONYA delivery workflow combined Expo / React Native and TypeScript with Supabase authentication, PostgreSQL, storage, and backend functions. AI-assisted development supported requirements decomposition, interface iteration, code review, defect triage, and test planning. Branch and pull-request workflows, lint/type checks, release QA, and EAS build preparation helped keep changes reviewable.

Impact: The project progressed through pilot-ready web and mobile builds, demonstrating a repeatable approach to agent-assisted product development with human oversight. This is experience in development and pilot delivery, not a claim of completed public app-store launch.

ConnectReport: Report Modernization & Parameter Strategy

Challenge: ConnectReport needed a more scalable, modern reporting experience for users relying on parameter-driven analytics. The opportunity was not just cosmetic redesign; it required stronger report architecture, cleaner parameter behavior, and a more efficient path from data selection to insight.

Approach: Mesubi focused on modernizing the reporting experience around optimized parameterization, streamlined data access, and clearer user workflows. The work centered on reducing friction, improving report responsiveness, and making report outputs easier to consume and act on.

Impact: A cleaner, faster, more professional analytics experience designed to support report consumers who need precision, speed, and confidence.

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Enterprise Data Platform Modernization

Challenge: A legacy data environment was limiting analytics delivery, slowing reporting cycles, and creating dependency on manual data movement and fragile pipelines.

Approach: Mesubi designed a cloud-forward data architecture using modern engineering patterns, governed storage layers, scalable pipelines, and a platform foundation ready for analytics and AI.

Impact: Reduced delivery friction, improved data reliability, and created a stronger foundation for self-service analytics and advanced use cases.

AI-Ready Document Intelligence

Challenge: Valuable information was locked inside documents, product catalogs, and semi-structured content, making it difficult to classify, align, and publish trusted data to downstream business systems.

Approach: Mesubi applied OCR extraction, header classification, entity alignment, and model-assisted validation to convert messy documents into structured, governed data assets.

Impact: Created a repeatable path from document ingestion to structured analytics and CRM-ready data outputs.

Built for leaders who need outcomes, not another technology project.

Mesubi is built for organizations that need senior-level architecture, hands-on execution, and business fluency in one partner. We do not sell bloated transformation programs. We build platforms, analytics, and intelligent systems that move the business forward.

Start the conversation and let’s identify where cloud modernization, intelligent agents, mobile application engineering, or advanced analytics can create measurable value.