Senrok engineers deploy custom AI agents in London with deterministic logic, ensuring full UK GDPR compliance and sub-50ms edge latency. Our architecture enforces data residency within UK boundaries, using local AWS/GCP regions for every inference.
All client data remains within UK borders. Senrok's deployment enforces region-locked storage and compute (AWS London, Azure UK South, GCP London). No data crosses into the US or EU.
We implement fine-grained access controls and audit logging. Every API call and model inference is logged to immutable storage. Customers can verify compliance in real-time via our deterministic audit trail.
Senrok's agents process PII directly within the client's VPC. No third-party model providers see raw data. We use open-weight models (Llama, Mistral) fine-tuned on-premise or via private endpoints.
London has multiple AWS, Azure, and GCP zones with <2ms inter-zone latency. Senrok's deployment places agents in the same region as the client's primary DB and app servers.
We use auto-scaling inference endpoints (GPU/CPU) within the client's account. Cold starts are mitigated via provisioned concurrency. Typical p99 latency is 50ms for text generation, 200ms for vision tasks.
For latency-critical use cases (e.g., real-time fraud detection), we deploy a lightweight model to Lambda@Edge or CloudFront Functions. The full model runs in London but caches responses at edge locations.
Senrok's deployment configures all cloud resources (storage, compute, model endpoints) with explicit region constraints. IAM policies block any cross-region data transfer. We also deploy network ACLs and VPC endpoints to prevent egress.
Yes. Senrok supports bring-your-own-model (BYOM) from Hugging Face, S3, or Azure Blob. The model is loaded into a private inference endpoint within your VPC. No model weights leave your account.
Senrok recommends a multi-AZ deployment within London. For disaster recovery, we can configure a passive replica in a second UK region (e.g., AWS eu-west-2a vs eu-west-2b). Active-active cross-region failover is possible but requires explicit client approval due to data residency constraints.
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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