The End of
AI Hallucinations.
Ontology-driven Zero Hallucination Data Agents delivering absolute deterministic truth. Don't just store data — give it a nervous system.
*Based on internal benchmarks comparing ontology-grounded queries vs. raw LLM-to-SQL generation across enterprise datasets.
OUTPUT LAYER
AI Agent
Autonomous Workforce
Self-Service BI
Zero-Training Dashboards
Enterprise Apps
Embedded Intelligence
BDB KINETIC SEMANTIC LAYER
Active Graph Ontology · The Digital Brain
Attributes
Business Ontology
Measures
Measures Derived KPIs
Actions
Business Ontology
Services
API & Event Fabric
ANY DATA SOURCE
Snowflake
Lakehouse
Databricks
Lakehouse
PostgreSQL
RDBMS
MongoDB
NoSQL
Add Any Source
JDBC, API & more
Graph-native ontology query — how the Kinetic Layer resolves every data request
Connects natively to any data source — no vendor lock-in, no replication required
Azure
AWS Athena
Google Cloud
JDBC
Static schemas break.
Kinetic ontologies never do.
Rigid. Brittle.
Probabilistic.
When business logic changes, the semantic layer breaks — leading to probabilistic LLM guesses that silently corrupt executive decisions.
-- Schema drift: undefined
-- Hallucination risk: HIGH
-- Result: probably wrong
Living. Evolving.
Deterministic.
When business logic changes, the Kinetic Semantic Layer auto-adapts to deliver deterministic, ontology-grounded answers executives trust.
WHERE context = @currentUser
RETURN Truth // mathematical certainty
// Hallucination risk: ZERO
Built on
Deterministic Truth.
Every BDB Business Object is defined once in the Kinetic Layer and consumed universally. Define it right once. Trust it everywhere, forever — by agents, dashboards, APIs, and partner systems.
ATTRIBUTES
Business Ontology Mapping
Canonical definitions of every enterprise entity — customer, product, region, campaign — mapped precisely to your physical schema. Eliminates the CFO nightmare: AI picking "active_customers" when "paying_customers" was meant. One definition. One truth.
MEASURES
Derived KPIs & Aggregations
Complex executive metrics — Churn Rate, Customer LTV, Net Revenue, ARPU — encoded with exact SQL calculations and business meaning. No two systems can ever disagree on a number. The "AI says X, dashboard says Y" board meeting disaster becomes structurally impossible.
ACTIONS
Autonomous Execution Engine
Agents that don't just observe — they act. BDB Actions expose approved, governed workflows that agents execute autonomously: trigger campaigns, escalate anomalies, open tickets, update forecasts. Deterministic, fully auditable, and reversible on demand.
SERVICES
API & Event Orchestration Fabric
REST and GraphQL APIs that expose your governed ontology to external systems, MCP-compatible AI frameworks, and partner ecosystems. Rate-limited, row-level secured at source, and consistent whether consumed by a dashboard, an LLM agent, or an enterprise ERP.
Data Restriction
by Design.
Not Afterthought.
In BDB, governance is structural — not a plugin, not a separate permission table. Every query, agent response, and exported insight is scoped at the semantic layer before data is ever touched.
Data Restriction Filter
A Data Restriction Filter is a governance and intelligence layer designed to ensure that all analytical processes operate strictly within approved, high-quality, and contextually relevant data boundaries. It acts as both a security mechanism and a precision enhancer for downstream analytics and autonomous systems.
Row-Level Security via User attributes
A native, identity-aware security model where user context is directly embedded into query execution, enabling seamless and automatic data access control at the row level—without requiring external synchronization or post-processing layers.It ensures real-time, context-driven data visibility, automatically adapting access as user roles and attributes evolve.
Full Ontological Audit Trail
A Full Ontological Audit Trail provides end-to-end traceability of every data interaction, decision, and output by capturing not just what happened—but the semantic meaning, relationships, and lineage behind it.It establishes a trust layer for autonomous systems with provable, auditable, and policy-aligned decisions.
Your Autonomous
Workforce.
Move beyond conversational chatbots. BDB 11.0 delivers true Agentic AI — systems with agency, full enterprise context, and the capability to execute multi-step workflows without human intervention.
Data Agents
Autonomous analysts that monitor KPIs, detect anomalies, and run root-cause analysis without prompting — grounded in the Kinetic Layer for zero-hallucination outputs.
- ✓ Proactive KPI Monitoring 24/7
- ✓ Automated Anomaly Detection
- ✓ Root Cause Analysis
- ✓ Executive Narrative Generation
Doc Agents
Intelligent researchers that synthesize unstructured enterprise documents — contracts, PDFs, emails, filings — against your structured data ontology. Cited sourcing. Zero fabrication.
- ✓ Contract Intelligence
- ✓ Regulatory Compliance Review
- ✓ Cross-source Document Synthesis
- ✓ Structured ↔ Unstructured Bridge
Code Agents
Automated engineers that generate, test, and deploy deterministic data pipelines — with full semantic context, not raw schema guesswork or hallucinated join paths.
- ✓ Pipeline Auto-generation
- ✓ Semantic-aware SQL synthesis
- ✓ Automated Test & Deploy
- ✓ Zero Schema Hallucination