Senrok engineers deploy custom AI agents directly into San Francisco's private cloud infrastructure. We enforce strict data localization to meet California's privacy mandates.
All agent data processing occurs within AWS us-west-1 (Northern California). No data transits outside state boundaries—ensuring CCPA and CPRA adherence. Senrok implements immutable audit logs for every inference and decision, giving clients full traceability for regulatory audits.
We architect zero-copy data pipelines to avoid secondary storage. Agent context windows are ephemeral; no training data leaks occur. Models are fine-tuned on client-private data only, never shared across tenants.
San Francisco's local cloud zones (AWS us-west-1, GCP us-west1) provide single-digit millisecond latency. Senrok deploys agents within the same AZ as client databases to minimize network hops. We use VPC peering and Direct Connect for consistent <5ms agent response times.
For latency-sensitive tasks, we colocate inference nodes at Equinix SV1. Agent state is cached in-memory via Redis with local failover. Cross-region replication is blocked—only local HA clusters are allowed.
Yes. For clients with on-prem infrastructure, Senrok engineers containerize agents for Kubernetes or bare-metal. We require GPU access for inference but can tune models for CPU-only latency thresholds.
Fine-tuning occurs on the client's isolated GPU cluster. Model artifacts are stored in a local S3-compatible bucket. No model weights cross the data boundary. We use differential privacy during training to prevent data memorization.
Agents fail over to a second AZ within us-west-1 (auto-scaling group). Active connections are load-balanced across zones. Cross-region failover is only enabled for read-only replicas of non-personal data; writes are queued locally until primary AZ recovers.
Engineering services
Custom AI Agent Development is the kind of workflow we build as an AI agent system: deterministic checks, human checkpoints, and an audit trail operators can trust. We start from your real process boundaries and ship software that holds up in production.
We build production-ready, highly observable agentic systems engineered for enterprise scale. No black boxes, no magic—just systematized workflows with systemic safeguards.
We don't build fragile wrappers. Complex decisions and exceptions are automatically routed to your team for approval, ensuring zero unverified actions in production.
Every AI-generated output is validated against deterministic, programmatic rules before execution, guaranteeing structural integrity and compliance.
Our architecture records every state change, agent reasoning step, and user interaction, providing complete observability into your automated workflows.
Built for enterprise scale. We optimize for high-throughput, low-latency execution using edge infrastructure and efficient state management.
Accelerate backend engineering in SF with modular Go microservices built to replace legacy monolithic systems.
SingaporeAutomate your Singapore-based operations with production-ready AI agents built for compliance and security in accordance with MAS guidelines.
LondonBring accountable AI automation to your UK operations. We build systems that understand complex financial and legal compliance rules.