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Services

Engineering for systems that must be correct

Three disciplines delivered by one team with 20+ years of engineering experience. Each engagement is scoped to a measurable outcome and ends with a system your people can operate.

01

Enterprise AI Systems & Agentic Workflows

Production AI that does real work: agents that call your systems, retrieval over your own data, and evaluation harnesses that prove the system is right before it reaches customers.

What you get

  • Agentic workflows that automate multi-step business processes with human approval gates
  • Retrieval-augmented assistants grounded in your documents, tickets and databases
  • Evaluation suites and guardrails that measure accuracy, cost and safety on every release

Capabilities

  • LLM application architecture (Claude, OpenAI, open-weight models)
  • Tool-using agents, function calling and workflow orchestration
  • Retrieval pipelines, embeddings and vector search
  • Prompt, evaluation and red-team test suites
  • Cost, latency and data-residency controls
  • AI features inside existing web and mobile products

Typical stack

  • TypeScript
  • Python
  • Next.js
  • Postgres + pgvector
  • Anthropic API
  • OpenAI API
Discuss a enterprise ai project
02

Blockchain & Smart Contract Systems

Shared, tamper-evident records for organizations that must trust one another's data, built test-first with every threat mapped to the code that defends against it.

What you get

  • Private and consortium ledgers where no single party can rewrite history
  • Smart contracts with explicit threat models and attack-scenario tests
  • Custom consensus, peer-to-peer networking, wallets and light clients

Capabilities

  • Consortium and permissioned ledger design (one node per organization, no tokens required)
  • Smart contract development, review and test suites
  • Consensus: proof-of-authority and proof-of-work
  • Wallets, key management and signing flows
  • Threat modeling and adversarial testing
  • Training for engineering teams

Typical stack

  • TypeScript
  • Node.js crypto
  • Solidity
  • EVM
  • JSON-RPC over TLS
  • Docker
Discuss a blockchain project
03

Cloud Solution & Infrastructure Architecture

Designs you can build and operate: data models, trust boundaries, failure modes, deployment and cost, with runbooks so your team owns the system after hand-off.

What you get

  • Reviewable architecture covering data, security, failure modes and cost
  • Kubernetes and serverless platforms on Google Cloud, AWS and Vercel
  • Operational hand-off with runbooks, monitoring and incident playbooks

Capabilities

  • Solution architecture and design reviews
  • Platform and vendor evaluation, technical due diligence
  • Kubernetes (GKE, EKS), containers and infrastructure as code
  • Secrets management, identity and least-privilege access
  • Observability: logging, metrics, tracing and alerting
  • Cost modeling and optimization

Typical stack

  • Google Cloud
  • AWS
  • Kubernetes
  • Docker
  • Terraform
  • Vercel
  • Cloudflare
Discuss a cloud project

How we work

Four steps from problem to hand-off

  1. 01

    Define the problem

    Agree on what success means, in measurable terms, before choosing any tool or model.

  2. 02

    Design the architecture

    A reviewable plan covering data, trust boundaries, failure modes, deployment and cost.

  3. 03

    Deliver test-first

    Tests for attack scenarios and edge cases are written before the defenses they prove.

  4. 04

    Hand off to operate

    Runbooks, monitoring and training so your team runs the system without us.

Have a system that has to be right?

Send one paragraph about the problem. A first written opinion within two business days.

Start a project info@axieo.ca