Public cloud data platforms
Patterns you recognize. Guardrails you enforce.
Landing zones, shared services, and data planes on AWS, Azure, or GCP—wired for identity, lineage, and cost visibility so teams move fast without inheriting sprawl.
Transform raw data into actionable intelligence with AI-powered agents that engineer, analyze, and automate your entire data ecosystem—from ingestion to insights.
Our autonomous data agents deliver enterprise-grade data capabilities without the complexity.
Natural language to optimized SQL in seconds. No more waiting for data teams to write complex queries.
AI agents that don't just report data—they analyze patterns, detect anomalies, and recommend actions.
Data pipelines that automatically adapt to schema changes, heal failures, and optimize performance.
CognitiveBricks designs and operates data platforms where analytics, GenAI, and compliance share the same contracts—whether you anchor on public cloud, a private estate, a governed data lake, or a retrieval-grade vector lake for agents and RAG.
Patterns you recognize. Guardrails you enforce.
Landing zones, shared services, and data planes on AWS, Azure, or GCP—wired for identity, lineage, and cost visibility so teams move fast without inheriting sprawl.
Your estate. Your policies. Cloud-native ergonomics.
Dedicated infrastructure and platform software for regulated, sovereign, or edge-heavy workloads—the same eventing, batch, and AI-serving idioms as public cloud, under your network and tenancy model.
Curated zones, open formats, trusted consumption.
Bronze–silver–gold semantics (or your domain language) with Iceberg, Delta, or Hudi-style openness so SQL, Spark, and BI tools meet the same governed tables—not another brittle copy of the truth.
Embeddings and metadata at retrieval scale.
Purpose-built layers for chunking, embedding, ANN indexes, and collection policies—so agents query vectors with the same provenance story as your warehouse and lake, not a shadow copy in an unruly sidecar.
Democratize data access across your organization. Business users ask questions in plain English, and our AI agents generate secure, optimized SQL queries instantly—no SQL knowledge required.
SELECT c.customer_name, COUNT(o.order_id) AS order_count, SUM(o.total_amount) AS revenue, AVG(o.total_amount) AS avg_order_value FROM customers c JOIN orders o ON c.id = o.customer_id WHERE o.created_at >= DATE_SUB(NOW(), INTERVAL 3 MONTH) GROUP BY c.id, c.customer_name ORDER BY revenue DESC LIMIT 10;
Query Performance:
Revenue spike detected in Enterprise segment (+34%). Recommend increasing sales team allocation to this segment.
Move beyond static dashboards and manual reporting. Our AI agents generate dynamic, narrative-driven reports that automatically highlight anomalies, trends, and actionable insights.
Schedule reports or trigger them based on events—agents handle the rest
AI identifies unusual patterns and surfaces them with context and recommendations
Complex data transformed into clear, executive-friendly narratives
Agents automatically select the best chart types for your data
Deploy intelligent agents that design, build, and maintain your entire data infrastructure—automatically adapting to changes and healing failures.
AI agents analyze your data sources and automatically design optimal ETL workflows with proper transformations, validations, and error handling.
When pipelines break, agents automatically diagnose issues, apply fixes, and restore data flows—without human intervention.
Agents design dimensional models, create materialized views, and optimize table structures for query performance.
Continuous data quality monitoring with automated validation rules, cleansing workflows, and quality score tracking.
See how CognitiveBricks can transform your data operations with autonomous AI agents.