More than automation. The whole intelligence stack.
Agentic automation is the visible tip of enterprise AI. Underneath it sit data, meaning and models — and that's where most AI programmes stall. Smart Database delivers all of it, on one no-code platform.
The agent is the last mile. We build the whole road.
Data before agents
An agent acting on fragmented, ungoverned data simply automates mistakes faster. DataVerse gives every agent one governed, Big Data–ready foundation.
Meaning before answers
The Wizdology ontology and knowledge graph define what your business entities mean, so GenAI and agents reason over facts, not guesses.
Prediction before action
AutoML adds forecasting, classification, fraud and risk models that agents can call — decisions backed by real machine learning, not just prompts.
Smart Database vs. typical approaches
How a unified data and AI platform compares with agentic automation platforms and assembling point tools yourself.
| Capability | Smart Database | Agentic automation platforms | Point tools (DIY) |
|---|---|---|---|
| Agentic AI & workflows | Built in, no-code | Core strength | Separate frameworks |
| Generative AI services | 15+ services, auto-prompted, API out | Usually via LLM steps | Hand-built prompts |
| AutoML / machine learning | 15 model types, data to API | Rarely included | Needs data scientists |
| Ontology & knowledge graph | RDF / OWL, governed lifecycle | Context layers, not standards-based | Specialist tooling |
| Data management & Big Data | Ingest → govern → store → serve | Connect to data, don't manage it | Separate ETL, lake & catalogue |
| MLOps & AIOps | Versioning, drift, monitoring & auto-retraining built in | Run logs for workflows | Separate MLOps stack |
| Fully on-premise / air-gapped | Yes, plus private & public cloud | Varies | Possible, complex |
| Arabic & English | Bilingual by design | Depends on the model | Custom work |
| Who can build | Business & IT teams, no code | Low-code builders | Engineers & data scientists |
Built for organisations that can't compromise
Sovereign
Your data, models and prompts stay inside your environment. Proven in on-premise government deployments.
Compounding
Every use case adds data, ontology and models the next one reuses — each solution cheaper than the last.
Model-agnostic
Multi-LLM support. Use local or cloud models and swap them without rebuilding.
No-code
From model training to GenAI services and agents, built by the people who know the business.
Open
Every model and service is an API. Integrates with your existing systems of record.
Delivered with you
Consultancy, deployment and implementation from one team — from strategy to production.
See the difference on your own data
We'll walk you through a use case end to end — from data to action.