Enterprise AI Solutions

Build, Scale and
Manage AI Systems
That Deliver

Production-grade AI architecture, development, and deployment. Built by engineers who've shipped AI at the world's largest cloud platforms.

0+ Years in AI/ML
0+ Production Deployments
0 Cloud Platforms
0.9% System Uptime

End-to-End AI Engineering

From strategy to production. We design, build, and operate AI systems that scale.

AI Strategy & Architecture

Cloud-agnostic AI roadmaps. We assess readiness, identify high-ROI use cases, and design multi-cloud architectures that align with your business objectives.

  • AI Readiness Assessment
  • Multi-Cloud Architecture Design
  • Technology Stack Selection
  • Cost Optimization Strategy

Intelligent Automation

Transform workflows with AI-driven automation. Document processing, predictive analytics, and real-time decision systems that eliminate operational bottlenecks.

  • Process Automation with AI
  • Document Intelligence
  • Predictive Analytics
  • Real-Time Decision Engines

MLOps & AI Infrastructure

Production ML platforms with GPU orchestration, automated pipelines, model serving optimization, and KV-Cache management for inference at scale.

  • GPU Cluster Architecture
  • ML Pipeline Orchestration
  • Inference Optimization (vLLM, TensorRT)
  • Monitoring & Auto-Scaling

AI Training & Enablement

Upskill your engineering teams with hands-on workshops, architecture reviews, and knowledge transfer programs tailored to your stack and maturity level.

  • Technical Workshops
  • Architecture Design Reviews
  • Team Upskilling Programs
  • Governance Frameworks

Fractional AI Leadership

Senior AI architect on retainer. Embed with your team to guide strategy, evaluate vendors, mentor engineers, and drive technical decisions without full-time overhead.

  • Part-Time AI Architect
  • Technical Decision Support
  • Vendor Evaluation
  • Executive AI Briefings

Production-Grade Stack

We operate across the full AI infrastructure landscape. Vendor-neutral. Production-tested.

Cloud & Infrastructure

Microsoft Azure Azure Databricks AWS SageMaker Terraform

AI / ML Frameworks

PyTorch Hugging Face Transformers LangChain / LangGraph CrewAI / AutoGen ONNX Runtime MLflow Weights & Biases

LLM & Inference

Gemini (Pro / Flash / Ultra) Claude (Opus / Sonnet) LLaMA / Mistral / Open Source vLLM TensorRT-LLM KV-Cache Optimization Ray Serve Prompt Engineering (GEPA)

Data & MLOps

Apache Spark BigQuery Databricks MLflow Kubeflow Pipelines Vector Databases Apache Airflow Docker / Kubernetes

Compute & Hardware

NVIDIA A100 / H100 / B200 AMD MI300X Multi-GPU Training FSDP / DeepSpeed Mixed Precision (BF16/FP8) Model Parallelism

Specialized AI

Computer Vision RAG Pipelines Agentic Workflows Reinforcement Learning Fine-Tuning (LoRA / QLoRA) Activation Steering Hallucination Detection Multimodal AI

Battle-Tested Methodology

Every engagement follows a proven framework, refined through years of shipping AI at scale.

01

Discover

Deep-dive into your data landscape, infrastructure, and business context. Identify highest-impact AI opportunities and validate feasibility.

02

Architect

Cloud-agnostic system design with clear specifications. Select models, frameworks, and infrastructure patterns for your scale requirements.

03

Build

Iterative development with CI/CD, testing, and monitoring from sprint one. Production-grade code, not prototypes.

04

Deploy & Evolve

Seamless deployment with full knowledge transfer. Your team maintains and improves the system independently. We stay on advisory.

Let's Build Something
Production-Grade

Whether you're exploring AI for the first time or scaling an existing system, every engagement starts with a conversation.

[email protected]
Vancouver, BC, Canada