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AI Security & Cost Control

Your AI endpoints
are live.
Unprotected and overspending.

Starseer is the AI security platform built on interpretability. Validate models before they ship, detect and contain threats at runtime, and route every request to optimize cost and performance.

01
Prompt Request
& Lineage
02
Detection
& Response
03
Intelligent
Routing
0 Requests inspected
0 Validated & routed
0 Threats blocked
<50ms Inspect & route

Backed by & trusted by

Gula Tech Adventures

Lead Investor, $2M Seed Round

Rob Joyce

Advisor · Former Director, NSA Cybersecurity

Dr. Gary McGraw

Advisor · BIML Co-founder, 8 security books

SCYTHE

AI Threat Emulation & Security Control Validation Partner

OWASP GenAI Project

Sponsor & Contributing Member, 25,000+ practitioners

MITRE ATLAS

Aligned AI Adversarial Coverage

Supporting leading AI innovators & more

— Our Approach

Interpretability is the method. Security and cost control are the outcomes.

We look inside the model itself. Layer-level visibility exposes threats that behave normally on the surface, and shows what portion of a model each workload really needs.

You can't secure what you can't see into

The problem

Output monitoring detects anomalies in what a model says or does, but it's blind to why, and blind to threats engineered to look normal. Backdoors, poisoned training data, and covert capabilities pass behavioral testing clean.

Interpretability-grounded security

Our solution

Activation analysis, circuit tracing, and behavioral probing reveal what a model actually learned. AI-Verify validates models before they ship, and AI-EDR runs those detections continuously at runtime. Threats that look normal from the outside don't look normal from the inside.

AI spend scales with usage, not with need

The problem

Without visibility into what a workload actually requires, every request defaults to the largest, most expensive model. The invoice grows with adoption, and nobody can say which requests needed frontier capacity and which didn't.

Interpretability-driven cost optimization

Our solution

Layer-level analysis shows how much model each task actually exercises. Starseer uses that insight to optimize models and route every request to right-sized capacity. AI-SIR cuts model spend by up to 60% while holding output quality, with every routing decision auditable.

— The Platform

Secure your AI stack.
Control what it costs.

Three products, one control plane. The same interpretability-grade visibility that secures your models also controls what they cost.

AI-Verify Security

Model Validation

Validate models before they ship. Interpretability techniques surface backdoors, hidden capabilities, and misaligned representations that behavioral testing misses. Know what's inside.

Explore AI-Verify →
AI-EDR Security

Detection & Response

Engineer versioned behavioral detections and run them continuously at runtime. When a detection fires, AI-EDR contains the threat, preserves forensic state, and closes the loop back to tuning.

Explore AI-EDR →
AI-SIR Cost

Cost Control & Routing

Cut model spend by up to 60%. AI-SIR routes each request to the right model based on cost, policy, compliance, and latency, with automatic fallback and auditable routing decisions across your fleet.

Explore AI-SIR →

— The Results

Proven ROI. Quantified.

40%Ormore

AI Risk Reduction

Quantified exposure reduction across AI deployments

Upto55%

Deployment Acceleration

Faster time-to-production for validated AI systems

Upto60%

Lower Model Spend

Intelligent routing to right-sized models, quality maintained

— What Teams Are Saying

Trusted by teams deploying
AI in production.

"We went from a stalled frontier model experiment to a production-ready agentic system in 30 days, fully offline, 90% cheaper, and entirely on our terms."

VP of Product

VP of Product · Enterprise Software Company

"From proof-of-concept to production in one month. Offline. No frontier API dependencies. We didn't think that was possible."

Jim Webster

Jim Webster

Director of Federal Programs · SCYTHE

"Starseer didn't just solve our deployment constraints. They picked a better model than we were using and shipped something we actually trust in production."

Head of Engineering

Head of Engineering · Enterprise Technology Company

— Get Started

Know what's inside.
Control what it costs.

See what's already happening inside your AI environment, and what it's costing you, before someone else does.