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We specialize in Red Teaming Generative AI for alignment and safety—pushing models to reveal hidden flaws in values and behavior. Security’s not our lane; we leave that to the cyber experts

Automated Red Teaming as a Service

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Policy & Regulatory Alignment

<p>Ethical &amp; Fairness Considerations</p>

Ethical & Fairness Considerations

Governance & Oversight

Safety & Harm Mitigation

We offer evaluation as a service to rigorously benchmark Generative AI capabilities and behaviors across real-world scenarios. It's about clarity, consistency, and trust—not breaking the model, but understanding it deeply.

Evaluation as a Service

Functional Performance

Transparency & Explainability

Usability & Integration

<p>Monitoring &amp; Continuous Improvement</p>

Monitoring & Continuous Improvement

Evaluate and identify potential risks in AI systems to ensure safe and reliable operations.

LLM Applications

Guidance on implementing AI solutions that align with ethical standards and societal values.

LLM Agents

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Aram Algorithm transformed our AI projects. Their expertise in alignment and safety is unmatched, ensuring our systems operate flawlessly and ethically. The team’s dedication to excellence is evident in their service delivery. Highly recommend them for anyone serious about AI innovation and security.

Aram Algorithm's commitment to AI safety and alignment has greatly enhanced our projects. Their team's expertise and proactive approach ensure our systems are both efficient and secure. We genuinely appreciate their dedication and highly recommend their services to anyone focused on responsible AI development.

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<h3>Connect with Our Experts</h3>
<p>Reach us at <a href="mailto:mano@aramalgorithm.ai">mano@aramalgorithm.ai</a> for AI alignment &amp; Safety queries.</p>

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Aram Algorithm

Mission:
We specialize in red teaming and evaluation services focused solely on alignment and safety — excluding traditional security or cybersecurity. Our goal is to help developers and enterprises build AI systems that are value-consistent, trustworthy, and behaviorally aligned with human intent.

What We Do (Excluding Security):
- Red teaming for LLM apps, AI agents, and multi-agent systems to uncover misalignment and emergent behaviors
- Human-in-the-loop evaluations that assess alignment with user goals, ethical values, and long-term reasoning
- Scenario-based testing to detect goal drift, reward hacking, unintended behaviors, and agent misuse
- Evaluation of AI reasoning consistency, tool usage, and multi-agent dynamics — without addressing security threats

Who We Help:
- AI startups building LLM applications, agents, or autonomous copilots
- Enterprises using AI for customer service, automation, education, or internal operations
- AI research labs working on agent-based systems or multi-agent simulations
- Developers integrating RAG pipelines, autonomous workflows, or memory-enabled agents

