Services
Secure AI and Cloud Engineering for Regulated Teams
Architecture, implementation, evaluation, and documentation for organizations that need AI systems to respect tenant boundaries, audit trails, and operational controls.
AI gateway engineering
Model routing, schema normalization, guardrail hooks, token metering, and usage auditing for internal AI access control planes.
Vertex AI integration
Tenant-first routing across Vertex AI, private model endpoints, and approved external providers with schema-normalized interfaces.
MLOps and AI evaluation
Evaluation harnesses, release discipline, model monitoring, and documentation for decision-critical workflows.
GKE and Kubernetes platforms
Cluster architecture, workload isolation, service deployment, observability, and secure delivery patterns for regulated teams.
CUI-aware cloud architecture
Design support aligned to NIST SP 800-171 and CMMC-oriented engineering practices without overclaiming certification status.
Technical documentation
Security boundary descriptions, deployment guides, support runbooks, and buyer-facing product documentation.
Ready to discuss your AI infrastructure requirements?
Meshesha Solutions works with primes, integrators, and public-sector teams that need secure, auditable AI deployments.