Your AI engineering team

AI prototypes are easy. Production systems are engineering.

Your AI works in the demo. We make it work at scale — designing, building and operationalizing the systems and cloud architecture underneath.

Agentic systems Kubernetes · AWS Python · Go MCP · RAG · Graphs
Services

Three areas, one team that has shipped all of them in production.

01

Agentic AI systems

Agent runtimes, orchestration and evaluation for LLM-driven workflows that have to be correct, observable and cost-controlled.

  • Agent architecture and frameworks
  • MCP servers and tool gateways
  • Memory, retrieval and knowledge graphs
02

From concept to production

The full engineering lifecycle — from an early hypothesis to a production system operated and improved at scale.

  • Concept, architecture & PoC / PoV
  • Development, testing & deployment
  • Scale, optimization & improvement
03

Cloud-native platforms

Multi-tenant SaaS backends and Kubernetes platforms engineered for reliability and clean operations.

  • Python and Go microservices
  • Kubernetes on AWS, GitOps, observability
  • Graph, vector and relational data stores
The InferAxis difference

Your engineering team, extended.

Think of InferAxis as your engineering team for hire — or an extension of the team you already have.

We step into complex technical problems, shape the architecture and turn it into working software, quickly. Your team stays focused on the product while we own the engineering complexity underneath.

Architecture + implementation We don't stop at diagrams. We build the pieces that make the architecture real.
Senior engineering, on demand Depth for problems that are complex, urgent or specialized.
Fast path to value From promising idea to working proof to something customers can use.
Focus on your business Your team stays on what makes the business valuable.
From idea to production

We can own the whole engineering journey.

01

Concept

The opportunity, workflow and measurable outcome.

02

Prove

A focused PoC / PoV to validate approach and value.

03

Engineer

Build, test, secure, deploy and instrument.

04

Optimize

Leaner, faster, more reliable and cost-efficient.

Contact

Have a complex system you need engineered?

Tell us what you are building. Let's talk about the engineering.

[email protected]