Deploying custom AI agents in Tokyo demands strict adherence to Japan's APPI data residency laws and ultra-low latency for real-time enterprise workflows. Senrok engineers the control plane to ensure deterministic outputs while respecting local cloud sovereignty.
Japan's Act on Protection of Personal Information (APPI) requires that any processing of personal data—including model inference inputs—stay within Japanese borders unless explicit consent or a binding corporate rule is in place. Senrok's architecture enforces data localization by routing all agent inputs and outputs through customer-designated VPCs in AWS Tokyo (ap-northeast-1) or Azure Japan East, never touching foreign regions.
For financial or medical verticals, additional guidelines from the FSA and MHLW apply. Senrok deploys fine-tuned models on dedicated GPU instances (e.g., p5.48xlarge) with encryption in transit (TLS 1.3) and at rest (AES-256). All audit logs are retained locally for 3 years, compliant with e-Discovery requirements.
Tokyo's dense metro area demands sub-50ms inference for agentic workflows like real-time fraud detection or supply chain optimization. Senrok colos within AWS Local Zones in Tokyo's Chiyoda ward (24us) and Azure Availability Zones (1, 2) to minimize hops. The knowledge base cache is pre-loaded on NVMe SSDs attached to the inference nodes, eliminating cold-start stalls.
Cross-region replication is blocked—no data flows to Osaka or Singapore. Instead, a multi-master Kafka cluster (70 partitions) synchronizes agent state across AZs with <10ms commit latency. For failover, a standby pool in the same region uses Spot instances (75% cost reduction) with a 30-second warm-up, ensuring 99.99% availability without leaving Japan.
Senrok deploys all agent models within the customer's designated VPC in Tokyo. PII is masked at input via a deterministic regex and NER pipeline before reaching the LLM. The inference container runs with no internet access; only the output API gateway receives the sanitized result. All logs containing PII are encrypted and stored only in the local region with strict access controls. No customer data ever leaves Japan.
Yes. Senrok's agent framework is compiled via Rust and runs on bare-metal instances (e.g., AWS c7gn.metal) in the same AZ as the exchange's feeds. The model is quantized to FP8 and uses FlashAttention-3, achieving consistent 8ms inference for 7B-parameter models. The custom packet capture (AF_XDP) ensures market data is processed within 1µs. Total round-trip stays under 50µs, well below TSE's tick latency requirement.
Senrok maintains a hot standby in a separate Azure Availability Zone within the same region (e.g., AZ-2 in Tokyo). Because both AZs are within Japan's borders, APPI compliance is preserved. During an outage, traffic reroutes automatically via DNS weighting (TTL 10s) to the standby pool. In-flight data is synced via a dual-write pattern to a Kafka cluster spanning both AZs, guaranteeing no data loss and sub-5 minute RPO.
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.
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