Trustival

The operating system of AI trust. Powering transparency, security, and accountability for the intelligent systems shaping our future.

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Elena Park

Former Google DeepMind researcher turned startup builder. Known for pushing ethical AI frameworks into practical, scalable products.

Marcus Vega

Ex-Palantir and Stanford PhD in Computer Science. Built large-scale trust and verification systems for enterprise AI.

What we do

At Trustival, we're building the trust layer for artificial intelligence—because the future of AI is only as strong as the confidence people place in it. Our platform ensures transparency, accountability, and resilience in every intelligent system.

AI Transparency & Explainability

We turn black-box models into systems you can understand. Trustival delivers real-time explanations of AI decision-making so teams, regulators, and customers know why models do what they do.

Security & Integrity Validation

We safeguard AI systems against manipulation, bias injection, and data poisoning attacks. Every decision is cryptographically verifiable and tamper-proof.

Continuous Compliance Automation

From SOC 2 to AI-specific regulatory frameworks, Trustival automates compliance reporting, making audits seamless and frictionless. No more manual checklists—just continuous assurance.

Bias & Fairness Monitoring

Our platform proactively detects, measures, and mitigates bias in machine learning pipelines, ensuring fair and ethical outcomes across all demographics and contexts.

Trust Infrastructure for Scale

We provide APIs and developer tools that integrate trust verification directly into your AI stack. Trust becomes native to the workflow, not bolted on later.

Human-Centric Governance

Trustival closes the loop between people and machines, enabling transparent oversight, collaborative feedback loops, and ethical guardrails that evolve with your business.