Make complex data work for every user and every AI.
dhino sits between your data and its consumers, making access simple, secure, and consistent everywhere.
Your data is trapped between those who have it and those who need it
Business teams wait weeks for reports. LLMs and agents hallucinate because they lack business context. Dashboards show different numbers for the same metric. Every new integration becomes a custom project.
The root cause: there is no shared, governed layer between your data and the things that want to use it. People, systems, and AI all need access.
Without that layer, every consumer reinvents access. Definitions drift. Security becomes an afterthought. And your data team spends its time fighting fires instead of building anything.
One layer between data and everything that needs it
dhino defines your enterprise data knowledge once and enforces it everywhere, for people, systems, and AI.
Your data
Dataverse, SQL, APIs
dhino
Integration · Context · Control
AI & apps
Copilot, Power Apps
Simplified data access
No SQL. No schema knowledge. Business users get the data they need through pre-defined templates and natural language, without waiting on IT.
Built-in governance
Fine-grained access control, compliance by default, and full audit trails. Security is the foundation, not an afterthought.
Consistent answers everywhere
Humans, systems, and AI all use the same governed layer. Same definitions, same rules, same results. No more conflicting numbers.
Built for the Microsoft ecosystem
"There's a clear and growing need for a Dataverse connector that's powerful yet simple enough for citizen developers and Copilot alike. dhino's solution hits that sweet spot."
Go deeper
Articles and definitions for the concepts behind governed data access.
Why AI gets enterprise data wrong
Why AI fails on structured data and what trustworthy data access looks like.
BlogTemplate-based data access vs. text-to-SQL
Two approaches to AI data access compared on accuracy, governance, and enterprise readiness.
GlossaryWhat is a semantic data layer?
How an abstraction layer translates database complexity into business terms.
Common questions
What is dhino?
Who is dhino for?
How is dhino different from text-to-SQL?
Is dhino a BI solution?
What data sources does dhino work with?
How does dhino keep data secure?
Let's crack your data challenges.
Tell us about your data challenges and we will show you how dhino fits. Most conversations take 30 minutes.