SeekrGuard
AI adoption is accelerating faster than the ability to evaluate and govern it. SeekrGuard is an AI model evaluation and certification solution that enables organizations to test, score, and govern AI models for bias, accuracy, reliability, and mission risk.
Transparent, task-specific risk scoring for decision-makers
Moving beyond static benchmarks to deliver transparent, mission-specific model risk scoring, SeekrGuard gives decision-makers defensible insight into how models will behave in the environments that matter most.
Clear scoring
Transparent benchmarking delivers side-by-side model scorecards across real-world scenarios for every model.
Quantified model risk
Customizable Risk Profiles enable decision-makers to define their own risk frameworks for mission-specific scoring.
Flexible testing
Mix and match datasets, evaluators, and models to run targeted, domain-specific tests.
Customizable evaluators
Rapidly build and test custom evaluators to probe edge use cases based on intended model use.
Automatic test data generation
Easily transform any document into a model test dataset on any topic.
Foundation models and LLMs are being deployed into mission-critical systems without sufficient visibility into bias, reliability, provenance, or adversarial risk. Traditional AI risk assessments rely on generic, inadequate benchmarks and context‑free scores that rarely translate into actionable insight for real operations. As AI becomes embedded in decision-making, enterprises and agencies need a way to quantify model risk, validate trustworthiness, and catch problems before they happen.
Built for where trust matters most
Government
Certify AI models used in intelligence, cybersecurity, logistics, and decision support. SeekrGuard enables transparent, audit-ready AI deployment in mission-critical environments.
Certify AI models used in intelligence, cybersecurity, logistics, and decision support. SeekrGuard enables transparent, audit-ready AI deployment in mission-critical environments.
Finance
From fraud detection to credit risk and compliance, financial AI demands rigorous oversight. Transparent model evaluation helps institutions surface risk early and support regulatory and audit requirements.
From fraud detection to credit risk and compliance, financial AI demands rigorous oversight. Transparent model evaluation helps institutions surface risk early and support regulatory and audit requirements.
Supply Chain
Volatility exposes weak assumptions fast. Validating AI models used for forecasting, logistics, and supplier risk ensures decisions hold up under real-world disruption.
Volatility exposes weak assumptions fast. Validating AI models used for forecasting, logistics, and supplier risk ensures decisions hold up under real-world disruption.
Telecommunications
Network performance depends on AI behaving as expected at scale. Evaluating models behind optimization, outage detection, and security uncovers failure modes before they impact service.
Network performance depends on AI behaving as expected at scale. Evaluating models behind optimization, outage detection, and security uncovers failure modes before they impact service.
Accelerate AI impact with SeekrFlow
Speed up and scale your AI development with data preparation, training, explainability, and orchestration in one platform.
Learn more
See how SeekrGuard evaluates AI models in real time
Understand true model behavior in real scenarios
Compare models side-by-side before procurement or deployment
Establish audit-ready AI governance and certification
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