AI-Ready Data.
Real-World Software.
AI-Ready Data.
Real-World Software.
AI-Ready Data.
Real-World Software.
AI adoption is growing quickly, but success depends on a strong foundation. Smart Data helps organizations achieve true AI readiness with clean, connected, and contextualized data combined with reliable modern software delivery.
AI adoption is growing quickly, but success depends on a strong foundation. Smart Data helps organizations achieve true AI readiness with clean, connected, and contextualized data combined with reliable modern software delivery.
Trusted by great businesses like:
Trusted by great businesses like:
Understanding AI Readiness
AI readiness is the ability to use AI effectively through strong data quality, integrated systems, and mature delivery practices. It is not about adding more models or tools. It is about preparing your data and workflows so AI can improve performance, productivity, and decision-making.
Learn how Smart Data builds AI-ready systems
90% of developers use AI tools, 30% do not trust the results
90% of developers use AI tools, 30% do not trust the results
90% of developers use AI tools, 30% do not trust the results
AI amplifies strengths and weaknesses in delivery
AI amplifies strengths and weaknesses in delivery
AI amplifies strengths and weaknesses in delivery
Platform maturity predicts AI success more than the model
Platform maturity predicts AI success more than the model
Platform maturity predicts AI success more than the model
Based on insights from the 2025 State of AI-Assisted Software Development
What is AI-Ready Data
Clean, Contextualized, and Connected Data
AI-ready data is structured, governed, and usable across your ecosystem. When data is connected and meaningful, AI tools and development teams can deliver consistent and trustworthy outcomes.
Serverless and cloud-native AI software development architectures
Serverless and cloud-native AI software development architectures
Serverless and cloud-native AI software development architectures
Automated pipelines that keep data accurate and accessible
Automated pipelines that keep data accurate and accessible
Automated pipelines that keep data accurate and accessible
Governance and monitoring for transparency and trust
Governance and monitoring for transparency and trust
Governance and monitoring for transparency and trust
Whether you use a coding companion, the best AI tools for developers, or enterprise AI systems, AI-ready data keeps results reliable.
Our Services
AI Software Development
Services That Deliver Results
AI Software Development Services That Deliver Results
AI-assisted software development for
enterprise apps
Data engineering and architecture for AI-ready ecosystems
Machine learning integration with real-time pipelines
Coding companion configuration and governance for developers
Custom model deployment on Snowflake, Azure, and AWS
1
Assess
Evaluate data quality, workflows, and AI maturity
1
Assess
Evaluate data quality, workflows, and AI maturity
1
Assess
Evaluate data quality, workflows, and AI maturity
2
Align
Connect systems and define measurable outcomes
2
Align
Connect systems and define measurable outcomes
2
Align
Connect systems and define measurable outcomes
3
Activate
Build and deploy AI-assisted workflows that scale
3
Activate
Build and deploy AI-assisted workflows that scale
3
Activate
Build and deploy AI-assisted workflows that scale
4
Assure
Monitor performance with clear metrics
4
Assure
Monitor performance with clear metrics
4
Assure
Monitor performance with clear metrics
Case Studies
AI Development Case Studies
AI Development
Case Studies
Case Studies
AI Case Studies
Frequently Asked Questions
What is AI readiness
What is AI-ready data
What are AI-assisted software development services
Do coding companions belong in enterprise teams
Hype or Help? Real-World Lessons from Applying AI to IT Software Projects
Speakers: Chris St Amand, Chief Technology Officer & Justin Smith, Solutions Architect
In this session, Chris and Justin share real experiences from projects where AI tools like Windsurf, Cursor, Gemini, ChatGPT, and Claude Sonnet were applied to software delivery. Attendees will learn:
How to predict when AI projects will succeed (and when they won’t)
What worked, what didn’t, and what surprised us along the way
Frequently Asked Questions
What is AI readiness
What is AI-ready data
What are AI-assisted software development services
Do coding companions belong in enterprise teams
Hype or Help? Real-World Lessons from Applying AI to IT Software Projects
Speakers: Chris St Amand, Chief Technology Officer & Justin Smith, Solutions Architect
In this session, Chris and Justin share real experiences from projects where AI tools like Windsurf, Cursor, Gemini, ChatGPT, and Claude Sonnet were applied to software delivery. Attendees will learn:
How to predict when AI projects will succeed (and when they won’t)
What worked, what didn’t, and what surprised us along the way
Frequently Asked Questions
What is AI readiness
What is AI-ready data
What are AI-assisted software development services
Do coding companions belong in enterprise teams
Hype or Help? Real-World Lessons from Applying AI to IT Software Projects
Speakers: Chris St Amand, Chief Technology Officer & Justin Smith, Solutions Architect
In this session, Chris and Justin share real experiences from projects where AI tools like Windsurf, Cursor, Gemini, ChatGPT, and Claude Sonnet were applied to software delivery. Attendees will learn:
How to predict when AI projects will succeed (and when they won’t)
What worked, what didn’t, and what surprised us along the way