Starseer provides AI services for teams building and operating AI models and agents in production, across cloud, edge, and autonomous environments.
We support everything from frontier-model migration to optimization, update validation, and production audits, helping teams move fast without sacrificing security or control.

Our services give organizations a single partner for AI runtime assurance, covering migration, validation, optimization, monitoring, incident response, and audit readiness.
Starseer helps teams build, deploy, and evolve AI systems safely, without relying on frontier platforms or accepting blind operational risk, enabling confident AI deployment at scale.
Frontier to Private, self-hosted, or Sovereign
Safely transition from frontier models to private, self-hosted, or sovereign AI. Starseer validates performance, stability, and runtime readiness across new architectures, hardware, and deployment environments, ensuring production-ready AI from day one.
Quantization, performance, or latency
Optimize AI models for real-world performance. Starseer improves latency, efficiency, and reliability through quantization, tuning, and system-level optimization, helping models meet hardware, power, and responsiveness constraints in production.
Validate, monitor, and remediate AI systems
Manage AI models and agents safely as they evolve. Starseer supports controlled updates, behavioral validation, drift detection, and rollback, preventing regressions and ensuring AI systems remain reliable and fit-for-purpose over time.
Assess your AI risk & exposure level
Assess how AI systems behave under real-world conditions. Starseer evaluates runtime behavior, failure modes, and operational risk to identify unsafe, misaligned, or high-risk AI, before and after deployment, so teams can operate AI systems with confidence.
Assess your cost model & future liabilities
Understand how AI systems consume resources and generate cost. Starseer analyzes inference usage, token consumption, and workload patterns to help teams control spend, improve efficiency, and scale AI operations with confidence.
Assess agentic AI alignment with business
Audit AI system design and architecture for production readiness. Starseer evaluates AI architectural soundness, goal alignment, and fitness for business objectives, ensuring systems are observable and capable of achieving intended outcomes across the business.
Starseer supports AI models, agents, and agentic workflows deployed across cloud, edge, and offline environments, including proprietary, self-hosted, and sovereign AI systems.
We support both. Starseer helps teams operate frontier models safely and also migrate to private or self-hosted AI, validating performance, behavior, and readiness at each stage.
Both. Starseer provides a runtime assurance platform combined with hands-on services to help teams build, validate, monitor, and remediate AI systems in production.
Yes. Starseer analyzes inference usage, token consumption, and workload patterns to help teams optimize performance, control cost, and scale AI deployments efficiently.
We work with AI platform teams, product and engineering teams, security and risk leaders, and organizations building autonomous or agentic AI systems.
Contact Starseer today for an advisory session today.