LITTLE SHIELD AI.

Specialist in child-centered AI safety and developmental risk evaluation.

[ ABOUT ]

Who we are.

We’re not here to check boxes. We’re here to elevate what responsible AI for children looks like.

At LittleShield AI, we combine developmental research with careful evaluation of AI systems used by children and families.

We work with curiosity and rigor so teams can build technology that supports children's growth with intention.

We look deeper.

We ask harder questions.

Because children deserve nothing less.

  • Understanding AI behavior through real developmental needs.

  • Age-specific testing that reveals risks standard QA misses.

  • Clear findings, severity scoring, and actionable documentation.

  • Ongoing checks that detect drift, regressions, and new risks.

  • Rapid evaluations that deliver clear fixes and next steps.

[ SERVICES ]

What we do.

  • A focused, 7-14 day safety evaluation for your AI system before launch or major updates. Most AI systems are tested for accuracy or content policy. Very few are tested for how a 5-, 9-, or 14-year-old might actually experience them.

    Our Red Teaming Sprint reveals behavioral, emotional, and developmental risks that traditional QA misses - giving your team a clear, evidence-based roadmap to strengthen safety with precision.

    This intensive deep dive provides you with -

    • Developmental Red Teaming

    • Behavioral Risk Analysis

    • Evidence & Documentation

    • Safety Dashboard

    A precise, developmentally grounded safety evaluation that helps teams launch AI systems children can trust.

  • Ongoing, automated red teaming for teams shipping fast or updating models frequently.

    AI systems evolve constantly.
    New model versions, fine-tuning, UX adjustments, and feature changes can introduce subtle — and sometimes severe — regressions.

    Our Continuous Safety Monitoring tracks how your system behaves over time, identifying emerging risks early and helping your team maintain a stable, developmentally appropriate safety posture as you scale.

    Our recurring safety tests provide you with -

    • Monthly Automated Red Teaming

    • Behavioral drift & Risk Tracking

    • Monthly Safety Report

    • Monitoring Dashboard

    • Quarterly Strategy Reviews

[ WORK PROCESS ]

Our Safety Process.

[ STEP 1 ]

Map

⁠We begin by aligning your system to our developmental risk framework and identifying where children may encounter cognitive, emotional, or relational vulnerabilities.

This helps us understand the surface area of your AI and the interaction patterns that matter most.

It establishes a clear baseline for a careful, structured evaluation.

[ STEP 2 ]

Risk Probe

⁠We translate the results into clear, severity-ranked insights your team can act on immediately.

You receive a grounded view of risk, developmental impact, and recommended next steps.

⁠The aim is simple: strengthen your product with clarity, evidence, and alignment as it evolves.

Integrate

We apply our proprietary, age-specific test suite—combining automated probes with guided scenario evaluation.

These tests reveal behavioral and developmental risks that standard red teaming often misses.

The methods remain proprietary; the insights are transparent, precise, and actionable.

[ STEP 3 ]

Why partner with us.

We’re not just evaluators. We’re child-development specialists, safety researchers, and careful thinkers.

Teams choose us because we bring rigor and nuance to a space where regulatory expectations are rising fast.

We uncover risks traditional QA misses and help you build AI that meets a higher standard of safety.

Frequently asked questions.

[ FAQ ]

Answers to the things you’re probably wondering.

  • Children interact with AI differently from adults: they anthropomorphize quickly, take language literally, and struggle to detect manipulation or risk. This makes them uniquely vulnerable to subtle emotional, cognitive, and relational harms that traditional testing doesn’t catch.

    Child-safety is non-negotiable because these interactions can shape development, and regulations are rapidly evolving to reflect that responsibility.

  • Child-safe red teaming uncovers risks that directly affect how children learn, trust, and respond to AI systems.

    By identifying unsafe instructions, coercive patterns, harmful content, or over-attachment cues, we help teams create AI that supports children’s wellbeing instead of compromising it.

    The result is safer, more aligned experiences for young users—and greater trust from families and caregivers.

  • Our sprint is designed for AI teams preparing for launch, scaling usage, or updating model versions frequently.
    It’s especially valuable for conversational agents, tutors, copilots, family-facing products, EdTech platforms, and any system minors may encounter—even indirectly.

    If your product might interact with a child, now or in the future, a child-safe sprint is the right starting point.

  • Traditional red teaming focuses on policy violations, accuracy errors, or adversarial prompts.
    Child-safe red teaming goes deeper: it evaluates emotional tone, attachment patterns, cognitive demands, relational dynamics, and developmental vulnerabilities across age groups.

    It’s a specialized discipline that reveals risks invisible to standard QA or content moderation.

  • Our work gives teams clarity: what to fix, why it matters, and how it affects children’s real-world experience. You receive severity-ranked insights, clear recommendations, regulatory-aligned evidence, and a prioritized path forward.

    This strengthens your product, reduces long-term risk, and prepares you for evolving safety and compliance requirements.

  • Global regulations increasingly require AI systems to demonstrate proactive risk assessment, mitigation, and protections for vulnerable users, especially children.

    Our child-safe red teaming provides the developmental risk analysis, severity scoring, and documented evidence regulators expect, helping teams meet obligations under the EU AI Act, DSA, UK Children’s Code, and emerging U.S. standards.
    It gives you a defensible, transparent record of due diligence that strengthens both compliance and product trust.

Get in touch.

Interested in working together? Reach out and let us help you design AI you can stand behind.