Enterprise agent systems / Dubai

ETHBAT

Deterministic Agentic AI Architecture for Enterprise Correctness.

Schedule an Infrastructure AuditSecure systems. Verifiable outcomes.
Trust anchorFounded by an elite deep-tech team holding a PhD in Computer Science and an MSc in AI & Telecommunications—backed by a decade of building high-performance, secure distributed networks across the EMEA region.
Core capabilities / 01—03

Three pillars of
provable progress.

A correctness-first operating layer for AI that must perform in regulated, high-stakes enterprise environments.

PILLAR 01

Agentic AI & Intelligence Core

01

Custom ML & Cognitive Modeling

Engineering task-specific ML architectures and model fine-tuning for enterprise scenarios, proprietary data, and private domain logic.

02

Autonomous Multi-Agent Orchestrations

Self-executing, goal-oriented agent systems using advanced reasoning frameworks and MCP to plan, evaluate, and execute workflows independently.

03

Intelligent Workflow Automation

Adaptive, self-healing agent sequences that replace fragile legacy operations and connect seamlessly with enterprise platforms.

04

“Talk to Your Platform” Omnichannel Interfaces

Natural language interfaces that let non-technical stakeholders query complex data, execute system-level commands, and trigger workflows through dialogue.

05

Production-Grade Retrieval-Augmented Generation

Advanced RAG pipelines that safely anchor reasoning in proprietary documentation for verified, precise outputs bounded by your knowledge graph.

PILLAR 02

Enterprise AI Alignment & Mandates

06

Dubai Agentic AI Mandate Integration

Secure digital workforces for private and public sector entities within mandated 24-month adoption windows.

07

Sovereign “Governance-by-Design” Compliance

Human-in-the-loop safeguards, observability loops, and auditable logging aligned with UAE AI Act risk-tiered criteria.

08

Automated Compliance Auditing

Real-time agent checkpoints that verify transactional compliance before data structures lock.

09

Deterministic Data Cleaning & Pipeline Preparation

Processing fragmented corporate data into high-fidelity feeds, eliminating anomalies and noise to establish a sound baseline for production AI.

10

Strategic Data Curation & Vector Engineering

Structuring, indexing, and taxonomizing enterprise assets into vector spaces and secure databases for stable mapping and fast agent retrieval.

11

Privacy-Compliant Synthetic Data Generation

Advanced synthetic-data frameworks that enable rigorous agent stress-testing without exposing sensitive corporate or citizen records.

PILLAR 03

Deterministic Code Modernization & Trust

12

Legacy Infrastructure Audits

Deep dives into codebase complexity, test coverage, data flow vulnerabilities, and documentation gaps.

13

Proactive Automated Bug Hunting

Deterministic tools and LLM reasoning to catch vulnerabilities, race conditions, and runtime bugs before production.

14

Mathematical Code Refactoring

Simplifying nested loops, confusing logic, and legacy modules while preserving functional correctness.

15

Reliability & Test Coverage Engineering

Automated testing suites and mocking environments that defend mission-critical systems against regression.

16

Knowledge Extraction & Living Documentation

Reverse-engineering hidden domain rules into clear structural engineering records for incoming teams.

The team

About Us

Deep technical research, precise systems thinking, and the practical experience required to put both into production.

TEAM / 01

Dr. Youssef Arbach

Co-founder & Principal Engineer

[email protected]

+971 58 995 4482

  • PhD in Computer Science and MSc in Software Engineering, earned in Germany.
  • Specialist in software modeling and correctness, with research grounded in formal workflow systems.
  • More than a decade of software development and engineering leadership experience, including at Careem and HERE Maps in Germany.
On the Foundations of Dynamic CoalitionsModeling changes and evolution of workflows in healthcare scenarios.
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TEAM / 02

Feras Barah

Co-Founder & Head of Business Development and Strategy

[email protected]

  • 20+ years of global technology leadership — including senior roles at Ericsson and Telia — and co-founder of ESA-funded DronEye.
  • Feras drives go-to-market strategy, AI adoption best practices, and ecosystem partnerships across the GCC and EU, helping organizations turn AI into real, measurable business value.
Contact Us

About Us

Have questions or requests? Please write to us on [email protected] and we will contact you soon