Product line

Cernari: operational intelligence engine.

Cernari is a TURKAY product. It sits on the data foundation you already run, Microsoft Fabric, Snowflake, Databricks or BigQuery, and lets teams ask their business what happened, why, and what needs attention next from Teams, WhatsApp or a private web assistant.

Sits on Microsoft Fabric · Snowflake · Databricks · Google BigQuery Speaks via Microsoft Teams · WhatsApp · Private web assistant
01

Ask

Natural-language questions across your operational systems. Answers cite the source, the table and the last refresh, so teams trust what they read.

02

See

Patterns, anomalies, trends and quiet risks surfaced without being asked. Nothing dramatic, only what matters in the operation right now.

03

Act

Move from insight to action: route to Teams, WhatsApp, or trigger a workflow. Human-in-the-loop where decisions carry weight.

04

Remember

Your business glossary, table definitions and tribal knowledge turned into a queryable memory, so answers stay consistent across the team.

05

Govern

Permissions, audit log, source citation, confidence score and data lineage. Enterprise-grade trust is on by default, not an afterthought.

Foundations

Built on your data foundation.

Cernari connects to the semantic model you already have. ERP, ATS, payroll, planning, transport and housing systems flow into your warehouse; Cernari turns that foundation into an operational voice.

Microsoft Fabric

Featured

OneLake, Lakehouse and Semantic Model

Snowflake

Data Cloud, Cortex-compatible

Databricks

Lakehouse and Unity Catalog

Google BigQuery

Lakehouse and Dataform

AWS Redshift

Warehouse and Lake Formation

Custom Postgres / Trino

Bring your own warehouse

Verticals

One live vertical, a focused roadmap behind it.

Cernari does not have one fixed interface — it becomes the decision surface each operation needs. Lognari is the live, in-production vertical today. The rest are on the roadmap, each grown from a sector I have actually built systems inside, not a speculative product list.

See the live product at cernari.com or the working demo at demo.cernari.com.

Questions

Cernari, explained.

Common questions about what Cernari is, how it fits your data foundation, and how we scope it.

Book a demo
What is Cernari?
Cernari is a TURKAY product: an operational intelligence engine that sits on the data foundation a company already runs, such as Microsoft Fabric, Snowflake, Databricks or BigQuery. It lets teams ask their business what happened, why, and what needs attention next from Teams, WhatsApp or a private web assistant.
Does Cernari replace our BI or data warehouse?
No. Cernari does not replace your BI. It gives your BI a voice, a memory and operational judgement. It connects to the semantic model you already have and adds a proactive, cross-system layer on top of the dashboards your team already uses.
Which data platforms does Cernari work with?
Cernari connects to Microsoft Fabric, Snowflake, Databricks, Google BigQuery and AWS Redshift, and can also run on a custom Postgres or Trino warehouse. Microsoft Fabric is the platform we build on most often, using OneLake, the Lakehouse and the Semantic Model.
How do teams interact with Cernari?
Cernari speaks where work already happens: Microsoft Teams, WhatsApp and a private web assistant. Instead of opening a dashboard and interpreting it, a team member asks a question in plain language and gets a sourced, timestamped answer, or a quiet morning feed of what matters.
What are the five primitives?
Cernari is built from five composable primitives: Ask (natural-language questions with cited sources), See (patterns and quiet risks surfaced without being asked), Act (route to Teams or WhatsApp, or trigger a workflow), Remember (a queryable business memory) and Govern (permissions, audit log, lineage and confidence). Start with one and add the rest.
How is Cernari priced?
There are no fixed packages or list prices. We start with a short discovery call and a needs analysis, then send a tailored scope and quote. Cernari can run as a hosted tenant, a dedicated private deployment, or an on-prem deployment, depending on your data residency and governance needs.
How does Cernari handle access control and trust?
Governance is on by default. Cernari enforces permissions, keeps an audit log, cites the source table and last refresh for every answer, attaches a confidence score and tracks data lineage. This is the Govern primitive, designed so operational answers stay accountable and enterprise-grade.
Can we see Cernari before committing?
Yes. You can explore the live product at cernari.com and the demo at demo.cernari.com, or book a short walkthrough on your own data foundation. We bring example questions, you bring the operation you cannot quite see, and we work through it together.
Ready to scale

Want to see Cernari on your own data foundation?

Book a short walkthrough. We bring example questions; you bring the operation you cannot quite see, and we work through it together.

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