What We Do
Services
AI-first consulting — from Kong AI Gateway deployments to agent platform design and the cloud infrastructure that supports it all.
Service 01
Kong AI Gateway
The infrastructure layer your AI needs.
Kong AI Gateway is purpose-built to manage, govern, and scale LLM traffic in production. We specialise in deploying and operating it — so your teams can ship AI features without worrying about cost runaway, safety failures, or compliance gaps.
Whether you're routing traffic to OpenAI, Anthropic, AWS Bedrock, or Azure OpenAI, we build the gateway layer that sits in front of your models and gives you full control. Two-time AI Hackathon winners at API Summit — we know this stack cold.
What's Included
- →LLM proxying across providers (OpenAI, Anthropic, Bedrock, Azure OpenAI)
- →AI safety controls — guardrails, PII filtering, content policy enforcement
- →MCP server proxying, monitoring & usage-based monetisation
- →Per-consumer rate limiting, cost tracking & usage metering
- →Kong AI Gateway on Kubernetes (KIC, Helm, Konnect)
- →AI observability — prompt/response logging, token tracking, anomaly detection
Service 02
AI Platform Strategy & Implementation
From AI prototype to governed production.
Most teams can get an LLM working in a notebook. The hard part is making it reliable, safe, and cost-effective in production — at scale, with real users, under real load.
We help engineering and platform teams close that gap. From designing the right architecture for your agent workflows to building governance frameworks that actually hold up, we bring practical production experience — not slides.
What's Included
- →AI architecture & readiness assessment
- →Agent platform design (MCP, A2A, multi-agent workflows)
- →AI governance, safety & compliance frameworks
- →Model selection strategy & vendor lock-in mitigation
- →LLM cost management & optimisation
- →AI incident response planning
Service 03
Platform & Cloud Engineering
The foundations that AI workloads run on.
AI needs infrastructure. We design and build cloud-native platforms on AWS and Kubernetes that can support your AI services — reliable, observable, and built for the teams that will actually operate them.
API management is part of this layer too — and we bring the same depth of expertise from the Kong ecosystem to non-AI API infrastructure, from Kong Gateway OSS to full Konnect deployments.
What's Included
- →AWS architecture for AI workloads
- →Kubernetes cluster design & management
- →Infrastructure as Code (Terraform, Helm, GitOps)
- →API management & Kong Gateway (OSS / Enterprise / Konnect)
- →Platform engineering & developer experience
- →Observability stack design
Not sure where to start?
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