Advanced AI Research & Products — Est. 2024

Elevating
Human
Intelligence

ELJEBRA engineers transformative AI systems at the frontier of machine learning, neural architecture, and mathematical computing — building the foundation for a more capable, equitable human future.

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Machine Learning Systems
Artificial General Intelligence
Neural Architecture Search
Mathematical AI
Next-Gen Computing
Responsible AI Development
Quantum-Classical Hybrid Systems
Transformative Technology
Machine Learning Systems
Artificial General Intelligence
Neural Architecture Search
Mathematical AI
Next-Gen Computing
Responsible AI Development
Quantum-Classical Hybrid Systems
Transformative Technology

Built to Redefine
What's Possible

ELJEBRA was founded on a singular conviction: the most consequential advances in human history will be driven by mathematics and machine intelligence working in unison.

We build AI systems that don't just predict patterns — they reason, generalize, and discover. Our research teams operate at the intersection of theoretical mathematics, deep learning, and next-generation computing architectures.

From healthcare diagnostics to scientific discovery, from climate modeling to cognitive augmentation — our technologies are engineered to be force multipliers for human potential.

Our Technology Stack
Gradient Descent θ ← θ − α∇J(θ)
Attention Mechanism Attn(Q,K,V) = softmax(QKᵀ/√dₖ)V
Entropy H(X) = −∑ P(x)log P(x)
Backpropagation ∂L/∂w = ∂L/∂a · ∂a/∂z · ∂z/∂w
0+ Research Papers

Published in top-tier venues including NeurIPS, ICML, and Nature

0B Parameters Trained

Across our flagship and specialized model families

0+ World-Class Researchers

Scientists, Engineers and Enthusiasts from New York to Damascus, Istanbul to Barcelona.

$0M Capital Committed

Backed by visionary investors who believe in long-horizon AI

Five Pillars of Mastery

Our competitive advantage rests on deep, multi-disciplinary expertise across five interconnected domains — each reinforcing the others in a virtuous cycle of innovation.

01

Machine Learning

Scalable learning algorithms that generalize from sparse data. We pioneer novel training paradigms including self-supervised, few-shot, and continual learning systems.

Supervised · Unsupervised · RL
02

Artificial Intelligence

End-to-end AI system design from Machine Vision to Pattern Recognition. We develop foundation models and agentic architectures that operate across modalities and domains.

Foundation Models · Agents · Reasoning
03

Neural Networks

Custom architecture research pushing beyond transformers. We design sparse, recurrent, and hybrid neural systems optimized for efficiency, robustness, and interpretability.

Transformers · SSMs · Hybrid Architectures
04

Mathematics

Pure and applied mathematics form the bedrock of our work. From differential geometry and topology to combinatorics and information theory — mathematical rigor guides every decision we make.

Linear Algebra · Topology · Information Theory · Optimization
05

Next-Gen Computing

We build software and hardware co-designed AI accelerators, explore neuromorphic computing, and partner on quantum-classical hybrid algorithms that exploit tomorrow's hardware today.

GPU Clusters · Neuromorphic · Quantum-Hybrid · Custom Silicon

Products That Move
The World

Foundation Model · Enterprise

ATLAS
Foundation Suite

Our flagship language and reasoning model trained on curated scientific, legal, and enterprise corpora. ATLAS delivers state-of-the-art performance on complex multi-step reasoning, code synthesis, and cross-domain knowledge retrieval — with full enterprise compliance.

  • 14B and 70B parameter variants with adaptive context windows up to 512K tokens
  • On-premise, cloud, and sovereign deployment options with SOC 2 Type II certification
  • Native tool-use, structured output, and multi-agent orchestration support
  • Up to 40% reduction in operational costs vs. leading commercial alternatives
Vertical AI · Healthcare

SYNAPSE
Medical Intelligence

Clinical-grade AI that integrates with EHR systems to provide real-time diagnostic support, treatment pathway optimization, and population health modeling. SYNAPSE has demonstrated 94.7% accuracy on radiological interpretation benchmarks.

  • Multimodal: text, imaging (CT/MRI/X-ray), genomic sequences, and lab values
  • HIPAA, GDPR, and CE-marked compliant data handling and model inference
  • Explainable AI with physician-readable evidence chains for every decision
  • Real-time inference under 200ms for acute care applications
  • Continuously adapts to institution-specific clinical protocols
Research Platform · Science

FORGE
Scientific Discovery

A computation fabric built for research institutions and national laboratories. FORGE accelerates hypothesis generation, materials discovery, protein structure prediction, and climate simulation through purpose-built AI-physics hybrid models.

  • Physics-informed neural networks (PINNs) for constrained scientific simulation
  • Sub-atomic material property prediction at 10,000× speed of DFT methods
  • Deployed at 12 research institutions across 8 countries
  • Integrates with standard scientific tooling: Python, Julia, MATLAB, LAMMPS
  • Published 34 co-authored papers with partnering institutions in 2024
Agentic AI · Productivity

NEXUS
Workflow Engine

An enterprise-grade multimodal agent platform that autonomously orchestrates complex, multi-step business workflows across tools, APIs, and data sources. NEXUS brings autonomous reasoning to operations at scale.

  • Vision, voice, document, and code understanding in a single inference pipeline
  • Supports 200+ native integrations with CRM, ERP, and cloud platforms
  • Hierarchical multi-agent coordination with role specialization
  • Granular human-in-the-loop controls with configurable autonomy levels
  • Audit-complete decision logs for compliance and governance
Privacy AI · Infrastructure

CIPHER
Federated Learning

Privacy-preserving machine learning infrastructure enabling organizations to collaborate on AI model training without exposing sensitive data. CIPHER leverages differential privacy and homomorphic encryption at production scale.

  • Differential privacy with mathematically proven ε-δ guarantees
  • Secure multi-party computation for cross-institution model aggregation
  • Compatible with heterogeneous data schemas and non-IID distributions
  • Up to 98% communication efficiency vs. naive federated baselines
  • Deployed across 5 major financial institutions for fraud detection collaboration

First Principles

01

Mathematical Truth

Every claim must be formally provable or empirically falsifiable. We distrust intuition without evidence and demand rigor at every layer of the stack.

02

Long-Horizon Thinking

We optimize for decades, not quarters. Our research agenda targets fundamental breakthroughs that compound in value over time, not incremental feature additions.

03

Responsible Power

Advanced AI is among the most consequential technologies ever developed. We hold ourselves to the highest standards of safety, transparency, and ethical deployment.

04

Talent Density

We hire the top 0.1% and give them the resources, freedom, and time needed to produce extraordinary work. Mediocrity is our only competitor.

Built by
Exceptional
Minds

Our leadership team combines frontier AI research with world-class engineering and deep domain expertise. Together, they have published over 200 peer-reviewed papers and built systems used by hundreds of millions globally.

SM
Sheikh Meelad
Founder & CEO
Leads Eljebra's overall vision, strategy and purpose. Works on our flagship models, emphasising neural systems capable of abstraction, reasoning, and real-world deployment. Drives the team chemistry towards advanced intelligence systems that enhance human capability and innovation at scale.
NM
Nadia Mikhail
CTO
Principal Engineer at Eljebra and architect of our distributed training infrastructure. A systems thinker and technology strategist working at the intersection of artificial intelligence, applied mathematics, and computational systems.
NA
Naquib al-Attas
Chief Scientist
Theoretical foundations of infinite-width neural networks and kernel methods. Engineers high-leverage intelligence systems that augment human capability, reduce informational asymmetry, and enable more efficient decision-making across domains.
MO
Marcus Osei
President
Designs architectures that extend beyond conventional machine learning — focusing on foundational intelligence frameworks capable of long-horizon optimisation across complex, real-world problem spaces.

World-Class Partners

$120M
Capital Committed · Strategic Investors
We're targeting $300M Series B in 2026
Strategic capital only · Lead investors welcomed

Interested in backing the next foundational AI company? Let's talk.

Investor Deck

Work on What Matters

At ELJEBRA, you won't be optimizing button click-through rates. You'll be building AI systems that operate at the frontier of what's computationally possible — systems that affect real human lives at global scale.

We offer exceptional compensation, radical ownership of your work, and the intellectual freedom to pursue big ideas. Our team works in a high-trust, high-accountability culture with no bureaucracy, no politics, and no limits.

Top 1% Comp

Salary, equity, and performance bonuses benchmarked to the best in the world

🧠
Research Freedom

20% unstructured time for personal research with full compute allocation

🌍
Global Remote

Work from anywhere with biannual in-person retreats across the world

📚
Unlimited Learning

$10K/year education budget plus full conference and journal access

Research Scientist — LLM Alignment
Research Remote PhD Required
Principal ML Engineer — Training Infra
Engineering Hybrid Senior
Applied AI Scientist — Healthcare
Applied Science Hybrid Senior
Mathematician — Theoretical ML
Research Remote PhD Required
Product Engineer — NEXUS Platform
Engineering Remote Mid-Senior
Security Engineer — AI Systems
Security Hybrid Senior

Shape What
Comes
Next

Whether you're an investor, partner, researcher, or visionary — there is a role for you in building the intelligence layer of the future.