EdgePath

Services

What we deliver

Deep engineering across AI infrastructure, networking, and cloud-native systems.

AI Infrastructure Engineering

We design and implement production-grade infrastructure for machine learning workloads, from model serving and GPU orchestration to end-to-end AI pipeline reliability. Our work spans LLM integration, vector database deployment, and the operational tooling needed to keep inference fast, cost-effective, and observable.

Model serving infrastructure and inference optimization
GPU orchestration and resource scheduling
AI pipeline reliability and fault tolerance
LLM integration and prompt-routing architectures
Vector database deployment and tuning
Cost modeling and capacity planning for ML workloads

Network Observability and Traffic Intelligence

We build observability systems that capture what is actually happening on the wire, not just what logs and metrics suggest. Our approach combines deep packet inspection, flow-level analysis, and protocol-aware instrumentation to surface anomalies, performance regressions, and misconfigurations before they become incidents.

Deep packet inspection and protocol decoding
Flow analysis and traffic baselining
Anomaly detection and automated alerting
Network performance monitoring and bottleneck identification
Protocol-aware observability pipelines
Integration with existing monitoring stacks

eBPF and Linux Datapath Engineering

We write custom eBPF programs and datapath logic that operate at kernel speed without kernel modifications. Whether the goal is fine-grained security enforcement, sub-millisecond telemetry, or wire-rate packet processing with XDP, we work directly with the Linux networking stack to deliver it.

Custom eBPF program development and lifecycle management
XDP-based packet processing and filtering
TC hook programming for traffic shaping and classification
Kernel-level networking and socket-layer instrumentation
Performance tracing and profiling with BPF tooling
Security enforcement at the datapath level

Secure Platform and Proxy Systems

We design and operate proxy architectures and platform-layer security controls that enforce policy without slowing teams down. Our systems handle mTLS termination, identity-aware routing, and fine-grained access control, including control planes purpose-built for environments where AI agents interact with internal services.

L7 proxy deployment and custom filter development
mTLS rollout and certificate lifecycle automation
Zero-trust networking architecture and implementation
Service mesh configuration and operations
API gateway design and rate limiting
Identity-aware routing and access policy enforcement

Cloud-Native Backend and Systems Development

We build backend services and platform tooling in Go, designed for Kubernetes-native environments from the start. Our work includes custom operators and controllers, CI/CD pipeline architecture, infrastructure automation, and API design that prioritizes clarity, correctness, and long-term maintainability.

Microservice development in Go
Kubernetes operator and controller implementation
CI/CD pipeline design and automation
Infrastructure-as-code and provisioning automation
API design, versioning, and contract testing
Operational tooling and developer experience improvements

Engagement

How we work with you

Advisory and architecture

Short-term engagements focused on system design, architecture review, or technology selection. We assess your current state and recommend a path forward.

Embedded engineering

We embed senior engineers directly in your team for weeks or months. Full integration with your tools, processes, and codebase.

Build and deliver

End-to-end development of a specific system or capability. We scope, build, test, and hand off production-ready software.

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