SILICON SQUARES AIAI-ready data assessment
A decision-grade view of data quality, architecture, controls, retrieval, evaluation and operational readiness.
● ENTERPRISE DATA · TRUSTED AI
Make your data ready for trusted AI.
We prepare, govern and engineer enterprise data so copilots, agents and intelligent applications produce answers people can trust.
✓ Secure by design ✓ Auditable by default ✓ Built for production
TRUSTED
AI
AI
SOURCES → CONTRACTS → CONTEXT → CONTROLS
01 QUALITY02 SECURITY03 LINEAGE04 EVALUATION
ENTERPRISE PLATFORMS WE WORK WITHMICROSOFT AZUREDATABRICKSMICROSOFT FABRICMICROSOFT PURVIEWUNITY CATALOG
WHAT WE DO
From fragmented data to production confidence.
AI reliability is a systems problem. We connect data, architecture, governance, security and operations into one production-ready foundation.
Data platform engineering
Secure lakehouse, warehouse and streaming foundations built around contracts, lineage and dependable delivery.
Governance & semantic layers
Business meaning, ownership, policy and access controls that make AI answers explainable and auditable.
Retrieval & knowledge systems
Production RAG, hybrid search, reranking and access-aware retrieval for grounded enterprise answers.
Agents & intelligent applications
Reliable copilots and agents with structured outputs, controlled tools, memory boundaries and human oversight.
Evaluation & AI operations
Quality gates, observability, security, cost controls, failure analysis and operational runbooks.
AI-READY DATA ASSESSMENT
Diagnose the foundation before you scale the model.
Our evidence-based assessment examines twelve connected domains—from data contracts and semantic meaning to retrieval quality, access controls, evaluation, observability and cost.
See the assessment ↗READINESS VIEW 12 DOMAINS
Illustrative maturity profile
Data trust 78%
Retrieval quality 64%
AI controls 52%
Operations 71%
Illustrative maturity profile
WHAT CHANGES
Better AI starts with better evidence.
Grounded answers
Responses trace back to governed enterprise evidence.
Controlled access
Identity, policy and tenant boundaries travel with the data.
Measurable quality
Evaluation datasets and failure taxonomies replace intuition.
Responsible scale
Cost, latency, resilience and runbooks become product requirements.
OUR OPERATING PRINCIPLES
Products before projectsMetadata before implementationExplainable and auditable AIEnterprise-grade by design
ABOUT SILICON SQUARES AI
Pragmatic engineering. Executive clarity.
Silicon Squares AI helps organisations turn enterprise information into a dependable asset for AI. We link business outcomes to the technical controls required to deliver them.
Our approach combines architecture, engineering, governance, security and operations—creating a foundation teams can understand, operate and improve.
LEADERSHIP
Built by people who have delivered at enterprise scale.
Manjinder Thind
FOUNDER & CHIEF EXECUTIVE OFFICERMore than 30 years in engineering and technology, spanning enterprise AI strategy, data platform architecture, delivery governance and commercial execution across government, finance, manufacturing, healthcare and infrastructure.
Mankabir Rai
CHIEF AI ENGINEERLeads AI strategy from data architecture and model development through deployment, monitoring and continuous improvement.
Shamal Samal
CHIEF TECHNOLOGY OFFICERLeads secure, scalable architecture and dependable enterprise delivery, connecting technology choices to operational resilience and measurable outcomes.
READY TO MOVE WITH CONFIDENCE?