No Slide Decks.
No Fragile Wrappers.
We architect, benchmark, and deploy autonomous AI agents and cloud infrastructure across Google Cloud and AWS. Shipped directly into your repository with enterprise guardrails, evaluation pipelines, and zero vendor lock-in.
Engineered for Production Scale
Every system is designed by multi-cloud certified architects and shipped directly into your repository with evaluation benchmarks.
Built for Teams That Ship
We partner with high-velocity engineering and product teams that value technical rigor.
Ideal Partnership If…
- ✓ Growth-stage startups (Seed–Series B) building AI-native products & agents
- ✓ Engineering teams needing specialized GCP & AWS AI systems architecture
- ✓ Companies deploying autonomous multi-agent workflows, voice bots, or enterprise RAG
- ✓ CTOs and technical founders wanting senior principal oversight without agency bloat
- ✓ Teams demanding production code shipped directly into their repository
Not the Right Fit If…
- ✕ Looking for fragile prompt wrappers with no evaluation or guardrail plan
- ✕ Seeking low-cost generic outsourcing without architectural rigor
- ✕ Needing 80-page strategic slide decks instead of working code
- ✕ Projects with no commitment to production observability and FinOps
Unsure if your architecture matches our expertise? Schedule a scoping call to review your stack.
From Scoping to Production in 3 Sprints
No endless onboarding or bloated overhead. High-velocity engineering that delivers.
Technical Discovery & Audit
We assess your current cloud architecture, proprietary data assets, and AI objectives. We establish baseline metrics and technical milestones.
Architecture Blueprint & Scope
We deliver a comprehensive technical specification, multi-cloud architecture diagram, and fixed sprint timeline before engineering begins.
Build, Benchmark & Deploy
We engineer the solution, validate through automated evaluation harnesses, and deploy directly into your production repository.
Why GenAI Engineering
Code Shipped Directly Into Your Repo
We build, benchmark, and deploy directly into your repository. You retain 100% intellectual property, configuration, and infrastructure ownership.
Multi-Cloud Native Architecture
Specialized systems engineering across Google Cloud (Vertex AI, Dialogflow CX) and AWS (Bedrock, Lambda), eliminating single-vendor bottlenecks.
AI-FinOps & Token Governance
Every agent and RAG pipeline is built with strict token economics, latency SLAs, and compute monitoring to prevent runaway cloud bills.
Deterministic Guardrails & Evals
We implement automated evaluation harnesses and human-in-the-loop fallback logic so your AI systems run reliably under enterprise production load.
Technical Authority & Community Impact
Our team actively contributes to the multi-cloud and AI ecosystem — speaking at global developer events and publishing architectural deep dives.
Google DevFest London 2025
London, ON
DevFestDevFest Montreal 2025
Montreal, QC
DevFestGDG Ottawa 2025
Ottawa, ON
GDGCommunity Talks — Windsor
Windsor, ON · 7 sessions
CommunityCloud Spanner vs BigTable vs Cloud SQL
Google Cloud on Medium
75K+ followersManage gcloud Profiles Like a Pro
Google Cloud on Medium
75K+ followers✦ Articles published under the Google Cloud publication on Medium — one of the largest cloud engineering audiences on the platform.
✦ Active Google Developer Group community member · Windsor · London · Montreal · Ottawa
Practical GCP & AI Resources
Slide decks, reference guides, and open-source code from real talks and production projects — no email required.
Talk Slide Decks
Slide decks from DevFest, GDG, and community sessions — topics include Gemma, on-device AI, MCP, GCP networking, and Firebase.
Browse decks →GCP Reference Guides
Practical cheat sheets and reference guides for Google Cloud — IAM, networking, BigQuery, and more. Built from real production experience.
Notify me when readyOpen Source on GitHub
Code samples, demos, and starter projects from talks and consulting work. Conversational AI, Vertex AI integrations, and GCP automation.
View on GitHub →Ready to Engineer Resilient AI Systems?
Schedule a 30-minute technical scoping session with our systems engineers. We will review your architecture, evaluate feasibility, and outline a fixed sprint execution plan.