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We are creating artifacts with early partners—evidence you can show stakeholders.

Proof & Trust Builders

Early independent views on vulnerabilities across pilots.

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Benchmark Snapshots

Key findings and lessons from initial runs.

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Pilot Case Notes

Annex IV‑aligned, practical readiness tools.

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Compliance Checklists

Executive‑level briefings for boards &amp; investors.

Mini Reports

Common pitfalls and how to mitigate them.

Compliance Trap Reports

Starter documentation mapped to requirements.

Pilot Evidence Packs

Realistic scenarios from red teaming engagements.

Case Examples

Early thought leadership distilled for execs.

Whitepaper Summaries

Contact form

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

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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

