AI Agents & Automation
Design and build AI agents for document analysis, knowledge retrieval, customer operations, compliance workflows and internal productivity.
Enterprise AI • Data Engineering • Intelligent Automation
AI agents and data platforms built for real business outcomes.
Silicon Squares helps organisations design, build and deploy AI solutions, data platforms and automation systems using Azure, Databricks and modern cloud engineering.
Azure
Databricks
Python
AI Agents
Governance
AI
Data
Agents
Cloud
Ops
01Assess
02Design
03Build
04Scale
Strategy
Architecture
Engineering
Automation
Delivery
What we do
Services built around practical delivery.
We focus on production-ready systems, strong data foundations and clear business value.
Data Engineering
Modern data pipelines, lakehouse architecture, quality frameworks, metadata-driven processing and governed analytics platforms.
Azure & Databricks
Cloud-native engineering using Azure, Databricks, Delta Lake, PySpark, CI/CD, orchestration and scalable data platform patterns.
Solutions
From proof of concept to production.
We help you move beyond demos and build systems people use every day.
Enterprise AI assistants
Private, governed AI assistants trained on your documents, policies and operational knowledge.
Legal and compliance AI
Document review, case preparation, policy analysis, evidence timelines and risk summaries.
Data quality automation
Rule engines, anomaly checks, audit logs and dashboards for trusted reporting.
AI readiness assessment
Clear review of your data, systems, governance, risks and delivery roadmap.
Experience
Example project areas.
Education AI Screening Platform
Prototype AI system for early screening support using multimodal inputs and structured assessment workflows.
Legal AI Assistant
RAG-based assistant to organise documents, analyse evidence, build timelines and support tribunal preparation.
Enterprise Data Platform
Metadata-driven engineering patterns for data quality, reporting and scalable cloud delivery.
About
Senior delivery experience with a builder mindset.
Silicon Squares works with organisations that need hands-on AI and data engineering expertise. We combine architecture, engineering and delivery leadership to turn ideas into working platforms.
AIAgents and automation
DataLakehouse and pipelines
CloudAzure and Databricks
RiskGovernance and controls
Leadership
Meet our leadership team.
Silicon Squares AI combines strategic leadership with deep technical expertise to deliver enterprise-grade artificial intelligence, data engineering and intelligent automation solutions.
Manjinder Thind
Founder & Chief Executive Officer
Manjinder is an enterprise data and AI leader with more than two decades of experience delivering large-scale transformation programmes across government, telecommunications, healthcare and financial services. He specialises in Azure, Databricks, AI architecture, enterprise data platforms and intelligent automation, helping organisations move from strategy through to production deployment.
As CEO, he defines the company's strategic direction, oversees client engagement and ensures every solution delivers measurable commercial value through modern AI and data engineering practices.
Mankabir Rai
Chief AI Engineer
Mankabir Rai is a data and artificial intelligence engineering specialist with experience spanning machine learning, data engineering, cloud infrastructure and analytics. With a background in Computing and Mathematics, he has developed secure data pipelines, AI-enabled applications and scalable cloud-based solutions using technologies including Python, SQL, AWS, Docker and machine-learning frameworks.
His strength lies in translating complex technical concepts into practical systems that improve decision-making, automate processes and deliver measurable business value.
As Chief AI Engineer, he leads the design and implementation of the organisation's AI strategy, from data architecture and model development through to deployment, monitoring and continuous improvement. He works closely with technical teams, clients and senior stakeholders to identify valuable AI opportunities, establish responsible engineering practices and integrate intelligent solutions into everyday business operations.
His approach combines technical expertise with a strong understanding of data quality, security, scalability and commercial outcomes, helping the organisation build reliable, future-ready AI capabilities.
Contact
Tell us what you want to build.
Book a discovery call or send a message about your AI, data engineering or automation project.