AI data analyst for modern data teams

Mira Agentic BI,
your AI Data Analyst

Analytics without the wait. Ask business questions in natural language, let MiraAI understand your data context, generate trusted SQL, and return charts and explanations your team can act on.

Schedule a demo See how it works
Conversational BI with multi-turn context
Semantic layer, metrics, and enterprise docs
Governed SQL with explainable outputs
Product Tour

See MiraAI in action

Watch short walkthroughs of core capabilities — from asking questions to building governed reports.

Connect the tools your team already trusts
Databricks
Snowflake
BigQuery
Redshift
PostgreSQL
MySQL
dbt
Power BI
Tableau
Slack
Teams
Azure OpenAI
Core modules

Everything from question to governed insight

The current MiraAI story stays intact, but the product is grouped around the workflow real data teams care about: ask, understand, analyze, and report.

Module 01

Ask Data

Q&A

Ask in plain English and get governed answers your data team can trust.

  • Understands business intent, not just keywords.
  • Keeps follow-up questions tied to prior context.
  • Shows the SQL behind each answer.

Show revenue growth by region last quarter.

Preparing answer
Intent matched SQL generated Policy checked
MiraAI answer Validated

North led at +18%. South softened after campaign spend normalized.

North +18% SQL visible Context kept
Module 02

Semantic Context

SEM

Unify schemas, metrics, and business language into one governed context layer.

  • Connect warehouse schemas, dbt models, and metric definitions.
  • Blend business docs and rules into one shared context.
  • Keep answers aligned with approved business logic.
Agent context
Warehouse
Business docs
Metric rules
Semantic model
Customers
Orders
Products
Module 03

Deep Analysis

RCA

Go beyond one chart. MiraAI can drill down into anomalies, root causes, trends, and the next question worth asking.

  • Root-cause analysis for drops, spikes, and exceptions.
  • Follow-up questions stay grounded in the active data context.
  • Guided next-step suggestions reduce analyst back-and-forth.
North region revenue-5.0%
Detected driverHanoi stockout
Next actionRestock + review ROI
Module 04

Auto Reports & Dashboards

RPT

Package recurring insights into reports, narratives, and executive updates so your team spends less time assembling slides and more time acting on signal.

  • Generate weekly summaries and scheduled business reviews automatically.
  • Combine charts, written explanation, and KPI movement in one output.
  • Support recurring operational reporting without analyst bottlenecks.

Weekly performance analysis

Auto-generated - Week 42

Executive summary

Total revenue dipped 7.2% week over week, led by a sharper Electronics decline in the South region.

-7.2% Revenue WoW
-15% Electronics
+4.1% Fashion
i

Recommendation: Restock South electronics inventory and review the campaign mix before the next weekly close.

Workflow

From business question to governed insight

MiraAI does more than translate text to SQL. It retrieves the right context, validates the query path, applies governance, and packages results in a form the business can use.

Step 01

Ask the question

A business user asks in natural language, without waiting on an analyst queue.

Step 02

Retrieve context

MiraAI resolves metrics, schema relationships, and business definitions from the semantic layer.

Step 03

Generate SQL

The query is composed in a form data teams can inspect, trace, and improve.

Step 04

Apply governance

Access policies, row-level rules, and approved metric definitions stay in place.

Step 05

Explain the result

Charts, narrative explanation, and anomaly callouts make the answer usable immediately.

Step 06

Recommend next action

The result can turn into a follow-up analysis, a recurring report, or a business action.

Security and governance

Built for governed analytics

Keep business users inside approved metrics, tables, and access rules while giving data teams the traceability they need to trust the answer path.

ACC

Governed Access

Support RBAC, row-level security, and column-aware visibility so users only see what they are meant to see.

SQL

Validated SQL

Keep explainable SQL visible to data teams and enforce a safer path from prompt to query execution.

LOG

Auditability

Trace the user question, generated answer, and execution path so teams can review how decisions were produced.

DEP

Private Deployment

Match enterprise requirements with cloud SaaS, private VPC, or on-prem deployment options depending on your environment.

Outcomes

Designed for real data teams

MiraAI helps teams reduce repetitive BI requests, speed up insight delivery, and keep self-service analytics aligned with governed business logic.

4h to <30m

Shorten repetitive business-question turnaround

80%

Less ad-hoc report backlog for core BI teams

10x

Faster answer delivery for business stakeholders

100%

Answers stay inside governed SQL and metric definitions

Use case 01

Deep analysis in under two minutes

A generic question can become a business-ready report with the right schema context, supporting metrics, and narrative explanation.

Business question
"What changed last week and why?"
Data inputs
POS sales, campaigns, and inventory context
Result
Full analysis assembled in 1m 42s with traceable logic
Use case 02

From question to action for a regional manager

Daily performance checks can move from static dashboards to a guided question and answer workflow with next-step recommendations.

Morning pulse
"How did sales perform yesterday vs the same day last week?"
Root cause
"Why is the North region down 5%?"
Action
Stockout impact in Hanoi identified with a recommended restock response
Why MiraAI

More than generic chat, lighter than traditional BI

The product advantage is not just that users can ask in natural language. It is that the answer path stays anchored in domain context, governance, and business-ready output.

Capability
Traditional BI
Generic AI
MiraAI Agent
Analytics depth
Weak
Good
Domain-aware deep analysis
Business context
Manual setup
Generic context only
Semantic layer plus enterprise docs
Governed execution
Slow but controlled
Often ungoverned
Explainable SQL with approved access rules
Decision support
Passive dashboards
Text-heavy answers
Charts, narrative, and next-action guidance
Setup time
Months
Weeks
Days with reusable domain templates