Generative Data Intelligence
Ask your data. Make the call.
GDI brings your company’s scattered data into one place and answers plain-language questions with analysis, charts and a recommendation you can act on. No SQL, no waiting on the data team.
Currently building the MVP. We are looking for pilot companies.
Which region saw churn rise last quarter, and why?
Scientist Agent Scanned churn by region and product. The Aegean region stands out.
Analysis Agent Aegean churn went from 4.1% to 6.8%. Most of the increase comes from single-product subscribers.
SELECT region, quarter,
AVG(churned) AS churn_rate
FROM customers_quarterly
WHERE quarter IN ('2026Q1', '2026Q2')
GROUP BY region, quarter;Engineer Agent Set up a weekly churn dashboard for the Aegean. The team gets an alert if it passes 6%.
Recommendation: Offer an upgrade bundle to single-product subscribers in the Aegean this month.
We are not a BI tool. We are a three-layer AI decision system that understands data, makes decisions and turns them into action.
The problem
Data is spread across systems and analysis depends on technical work. As data grows and non-technical teams need answers, both insight and decisions slow down.
Our approach
A natural-language interface on top of an integrated data layer brings scattered data into one place and automates analysis. The system learns your company’s context and gets sharper the more you use it.
Three agents, one decision chain
Every question passes through three layers. One finds what matters, one measures why, one wires the result into your workflow.
1 / 3
Scientist Agent
Finds opportunities and risks
- Spots new product opportunities early from data
- Surfaces new customer segments and cross-sell or up-sell openings
- Connects company data to strategic goals
2 / 3
Analysis Agent
Measures, explains, optimizes
- Optimizes marketing and sales strategy with data
- Removes most of the manual analysis work
- Turns KPIs into business impact, not just reports
3 / 3
Engineer Agent
Puts the decision to work
- Ships new use cases without technical roadblocks
- Automates data prep, reporting and dashboards
- Turns strategic actions into concrete recommendations and steps
From question to decision in four steps
- 1
Connect your data
Databases, warehouses and files come together in one place. AI-assisted ETL pipelines are set up and monitored for you.
- 2
GDI learns your data
Schemas are discovered automatically. Relationships, data profiles and domain tags are extracted, and business terms go into a shared glossary.
- 3
Ask in plain language
Semantic search maps your question to the right tables and definitions, translates it to SQL and hands it to the agents.
- 4
Make the decision
The answer comes back as a chart, a report or a live dashboard, with its reasoning and a recommendation you can act on.
What it will do
Features planned for the MVP and beyond, each designed for business users or data admins.
Agent system
- Agent orchestrationEveryone
Coordinates multiple AI agents for analysis, query processing and automated insights, handling task distribution and result aggregation.
Chat interface
- Natural-language queriesBusiness users
Business users ask questions in everyday language; questions become SQL and results come back in a clear format.
- Conversational report builderBusiness users
Describe the report you need and the agent builds and formats it.
Reporting
- Interactive dashboard generatorBusiness users
Generates visualizations from your questions and data patterns, with real-time updates and customization.
- Real-time analytics engineBusiness users
Uses agents to optimize query execution and caches frequently requested insights.
ETL and data management
- Automated ETL pipeline managerData admins
Configures, monitors and optimizes pipelines, catches errors and quality issues, and suggests transformations.
- Smart transformation engineData admins
Learns from admin choices to suggest the best transformations, with version control and rollback for ETL logic.
- Data quality monitorData admins
Detects anomalies, validates integrity, suggests fixes and sends real-time alerts.
- Schema discovery and catalogingData admins
Discovers and documents sources and schemas, keeps the metadata store current and suggests relationships between datasets.
Infrastructure
- Secure multi-tenant infrastructureEveryone
Role-based access, data isolation between companies and scalable compute, with separate permissions for admins and business users.
What it changes for you
Growth
New product and segment opportunities show up earlier, and marketing and sales run on data.
- Faster product development cycles
- Higher customer acquisition
- New surfaces for revenue
Operations
Data prep, reporting and dashboards are automated, so you depend less on the technical team.
- Target: 50–80% faster analysis cycles
- Lower analytics and engineering cost
- Fewer errors, more consistent decisions
Strategy
KPIs are translated into business impact and the whole organization works from one source of truth.
- Alignment across management levels
- No gap between data and strategy
- Faster, more consistent leadership decisions
How it differs from classic BI
Power BI, Tableau, Looker, Qlik and Oracle Analytics are strong reporting tools. GDI picks up where the report ends: the decision and the action.
- Who uses it
- Classic BIAnalysts and technical teamsGDIAnyone, no technical skills needed
- How you ask
- Classic BIBuild queries, models and dashboardsGDIIn plain language, by chatting
- Data prep
- Classic BIHand-built ETL and modelsGDIAI-assisted and automated
- Output
- Classic BICharts and reportsGDIInsight, recommendation and action
- Over time
- Classic BIStays the sameGDILearns your context and gets sharper
Business intelligence market
Pricing model
SaaS subscription, tiered by number of users, data volume and feature set.
Subscription tiers
Monthly plans that scale with your team size and data volume.
Enterprise
Custom integrations, consulting and advanced analytics services.
API and premium
Usage-based pricing for API access and premium features.
Where we are
- Done
Market research and product scope
We reviewed the reporting and data governance products on the market and set the product scope around real needs.
- In progress
MVP architecture and infrastructure
The vector database (Qdrant) is up. We are working on document upload, basic semantic search and the embedding strategy.
- Next
Agents and chat interface
Agent orchestration, the natural-language query interface, the ETL manager and the dashboard generator.
- Later
Enterprise pilots, then global
Prove the product with enterprise customers first, then expand to international markets.
Become a pilot company
If your team wants to turn data into decisions faster, get in touch. We offer early access and shape the product around your needs.
Team
We bring experience in data science, AI, software engineering and product management. We work with large-scale data and build machine learning models, and we are growing the MVP through fast iterations driven by user feedback.
Prefer to write directly? mehmetilyasince1@gmail.com