Startups
Build fast, launch responsibly.
AI startups innovate fast, often outpacing risk management and compliance resources. Without dedicated legal teams or large-scale testing resources, product performance, user trust, and regulatory standing are put at risk. Aegis Blue’s LLMOps platform provides the technical assurance and expert guidance essential for startups to launch confidently, protect their IP, and build foundational trust.
ENSURE YOUR PRODUCT WORKS SAFELY & AS INTENDED
Product reliability and safety are essential for user adoption and trust. Our rigorous QA and behavioral testing validates performance and identifies potential harms before they impact users.
NAVIGATE THE REGULATORY MAZE
Emerging AI regulations (e.g. EU AI Act) are daunting for startups. Aegis Blue helps you understand and address key multi-jurisdictional compliance obligations, reducing your legal exposure.
STRESS-TEST YOUR AI AGAINST ADVANCED THREATS
Our expert red teaming and adversarial testing simulate sophisticated real-world attacks, identifying critical security flaws and system weaknesses before they impact your product or users.
PROTECT YOUR INNOVATION & USER DATA
Your IP and user data are valuable assets. Our targeted security assessments ensure robust data protection practices to mitigate the risk of inadvertent data leakage through your AI system.
ACCELERATE DEVELOPMENT WITH HIGH-QUALITY DATASETS
Overcome dataset limitations and accelerate innovation with our assistance in developing curated validation and evaluation datasets tailored to your AI product.
BUILD A FOUNDATION FOR TRUSTWORTHY AI GOVERNANCE
Establishing basic AI governance practices early is key for scalable growth and investor confidence. We guide you in implementing foundational frameworks for responsible AI development and deployment.
OUR SOLUTION
Aegis Blue LLMOps
Launch and scale AI innovations confidently. Aegis Blue's startup-focused service delivers the technical rigor and strategic guidance to efficiently embed quality, security, and compliance, addressing key risks for sustainable growth.
STEP 1:
Assess & Quantify
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Rapid AI Product & Risk Discovery
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Core Product QA & Behavioural Validation
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Custom Validation & Evaluation Dataset Support
STEP 2:
Implement & Govern
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Foundational AI Governance Framework Setup
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Regulatory Navigation & Essential Compliance
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Actionable Risk Mitigation & Behavioural Alignment
STEP 3:
Monitor & Adapt
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Model Performance & Drift Monitoring
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Evolving Standards & Compliance Checks
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Guidance on Adaptive AI Lifecycle Practices
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Model update assurance