Bridge the gap between Data Science and Business Operations. A unified platform that combines high-performance processing with Generative AI to democratize insights.
The Concept Traditional Business Intelligence is slow, siloed, and backward-looking. We replace static reporting with a Cognitive Decision Layer. By leveraging high-performance columnar storage and Generative AI, we allow your entire organization—from the C-Suite to the front line—to query complex datasets using natural language and receive instant, actionable insights.
The 3 Pillars of Decision Intelligence
1. The Universal Data Fabric (Integration) Inspired by Pyramid’s “Direct Query” and Airbyte/ClickHouse speed.
The Problem: Data silos and slow extraction processes (ETL).
The Solution: A high-performance virtualization layer that connects to any source (SQL, NoSQL, APIs, Excel) instantly.
The Value: We create a “Single Source of Truth” without the need for massive data migration projects. Process billions of rows in milliseconds, not hours.
2. Generative BI & Natural Language Querying (Accessibility) Inspired by Vanna.ai/LLMs capability.
The Problem: Business users waiting weeks for IT to build a new dashboard.
The Solution: “Chat with your Data.” Users simply type: “Show me sales trends by region for Q3 compared to last year” or “Why did churn increase in May?”
The Value: Self-service analytics that truly works. The AI generates the SQL, executes the query, and explains the result in plain English (or Portuguese/Spanish).
3. Augmented Predictive Science (Foresight) Inspired by the blend of Data Science + BI.
The Problem: Dashboards only show what happened yesterday.
The Solution: Integrated forecasting and ML models that overlay predictions onto your current data.
The Value: Don’t just see the sales curve; see where it goes next month. Detect outliers and opportunities automatically with embedded machine learning logic.
Why Architect With Us?
Zero-Trust Security: Your data never trains public models. We deploy Private LLMs tailored to your schema within your secure infrastructure.
Semantic Governance: We build a semantic business layer (dbt) that ensures “Revenue” means the same thing for Marketing, Finance, and Sales.
Scalability: Built on hyper-scale open standards (ClickHouse architecture), capable of handling petabytes of data with sub-second latency.
Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.
Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.
Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.
Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.
