AI foresight and delivery firm
See what's coming. Build what's needed.
Two halves of the same job: sense the shift early, then ship what it calls for. Magma does both.
See what's coming: Strategic Foresight
A Competitive Horizon Scan: a cited, dated, six-lens read on the shifts coming at your market, competitors, entrants, substitutes, and customer pain, so your team can adjust positioning and place its bets early. The same evidence-graded method, applied to your market instead of your codebase.
Build what's needed: Code Intelligence
When it is time to act, we cross all the way to production: discovery, architecture, security, delivery. CodeGnosis indexes your codebase so business logic is searchable by concept, not keyword, and engagements move faster.
Fresh Perspective in Action
"I'd like to highlight Daniel's 'superpower' - his ability to bridge the conversations between the 'business' and 'IT'. In fact I described him then as a 'unicorn' and he remains one of the few IT professionals I've worked with who have an uncanny ability to translate business needs, shield us from the complexity of the back end and work to provide solutions that benefit all stakeholders. His natural curiosity, excellent communication skills and solutions orientation sets him apart."
Nicole FrancisDirector, Sales Enablement, Softchoice"Daniel brought exceptional technical expertise and enthusiasm to our team at Siemens. He simplified complex architectures, mentored colleagues, and consistently delivered solutions that balanced innovation with practical business needs. Any team would be fortunate to have someone with Daniel's knowledge, problem-solving abilities, and positive energy."
Patrick BevakSoftware Engineering Manager, Siemens Digital Industries Software"I feel incredibly lucky to have had the opportunity to work with Daniel. Not to get too sappy, but a lot of young professionals don't get the chance to work with experienced seniors who are as patient and willing to teach as he is. I can't thank him enough for his guidance and support, which have helped me grow so much in my career. Daniel, you've made a lasting impact, and I appreciate everything you've done!"
Donavan MerrinGoogle Delivery Senior Analyst, Accenture
Delivered through Google Cloud PSO, Quantiphi, Intuitive.ai, and Ciklum. Led by Daniel Zivkovic, delivering production systems since 1996.
Google Professional Services caliber, Canadian pricing. AI foresight for what's next.
The Magma Process
Our process follows the Design Council's Double Diamond: diverge to explore, then converge to decide, twice. Most AI consultants work only the first diamond, understanding the problem and prototyping. Very few cross all the way to production delivery, and that is where the 82-93% failure rate lives. We run both diamonds.
Discover
We listen first: talk to your users, watch your workflows, learn your real constraints. Not what you assume the problem is, what it actually is. Empathy does its work here, widening the view before we narrow it.
Define
We converge the discovery into the right problem to solve, framed before anything gets built. This step is getting larger, not smaller, as AI accelerates everything downstream.
Develop
We open up again: map and prototype the full spectrum of solutions, from minimum viable to optimal, so you can see and choose. Then build, with AI assistance and human judgment at every decision point.
Deliver
Production-grade, not demo-grade. Security, governance, observability, and cost optimization built in, not bolted on after launch. Google has thousands of engineers to take prototypes to production. Your company does not. That is why the Magma Process includes Develop and Deliver.
Our Competitive Edge: CodeGnosis
The Magma Process works because we start every engagement with clarity. CodeGnosis - our proprietary code intelligence tool - indexes your entire codebase and makes business logic searchable by concept, not keyword.
The first two weeks of most consulting engagements are archaeology: "Where does product expiration happen?" requires tracing SQL scripts, Java services, batch jobs across dozens of repositories with zero documentation. With CodeGnosis, that question gets answered in seconds.
ThoughtWorks built the same approach (CodeConcise) for internal use only. We've productized it for air-gapped deployment - running entirely on your infrastructure, no cloud dependencies.
This is why our Embedded AI Engineering engagements move faster. Your team doesn't search for code. They understand it.
Start Here
Not Sure Where to Begin?
Book a 30-minute scoping call. No pitch. Bring your messiest AI question and I'll give you a straight answer.
Book a scoping callHow We Work With You
After our conversation, here's how deeper engagements work:
AI Readiness Check
Every executive hears "you need AI" ten times a week. Before you invest in technology, invest 90 minutes in clarity.
A live working session with a senior AI architect - not a pitch, not a slide deck. You walk away with:
- •AI opportunities in your business, ranked by effort vs. impact
- •Readiness gaps that would block AI from working
- •A one-page AI Readiness Brief your leadership team can act on
100% of this fee is credited toward any follow-on engagement.
AI Initiative Unstaller
Your AI project stalled. The demo impressed leadership, but production never happened. We diagnose why it stalled and either ship it to production or recommend killing it - with a clear alternative, so you stop burning money.
Haven't done a Readiness Check? It's included. Already completed one? Your fee is credited.
Embedded AI Engineering
A senior AI engineer integrated into your team. Not a contractor who disappears - a partner who ships production systems and leaves your team stronger.
Full spectrum delivery: business requirements through architecture, security, and production hardening. Team enablement built in - your people level up while real work gets done.
After the Engagement
AI moves fast. The playbooks we write today need updating as models, capabilities, and risks evolve. Every Magma engagement includes transition documentation - and for teams that want ongoing advisory, we stay connected through flexible retainer arrangements. We don't disappear when the invoice is paid.
Results That Speak for Themselves
Who We Work With
Consulting Firms
We integrate with your team and cover the full spectrum your client needs - from business requirements through architecture, security, and production hardening. Business on Monday, architecture on Tuesday, production on Friday. We've partnered with Google Cloud PSO, Quantiphi, Intuitive.ai, and Ciklum on enterprise engagements for clients like Nasdaq, Siemens, and Ford.
Companies Navigating AI
You don't need to hire an AI team. You need someone who understands your business AND can take AI from validated idea to production-grade system - secure, observable, cost-effective. We cover the roles of five hires in one engagement, without the enterprise-grade overhead.
Breaking Industry Patterns
Community
Founder of Serverless Toronto - 5,000+ members, 8 years connecting the dots between AI, data, and cloud.
Our recent meetup trilogy explored the full AI lifecycle: from AI-assisted coding tools, to securing AI-generated code, to the question that matters most: "Will your idea fly?" The full spectrum - from validating what to build, through secure implementation, to production-grade operations - is where the real work lives.
Credentials
Google Cloud Professional Data Engineer | Professional Cloud Architect | Gen AI L400 Advanced | OWASP Top 10 for GenAI | AWS Certified Solutions Architect
Security
Government of Canada Secret (Level II) Security Clearance
Frequently Asked Questions
How much does this cost?+
Our entry point is the AI Readiness Check at $3,500 - a 90-minute working session plus a deliverable your team can act on. If you move forward with a larger engagement, that $3,500 is fully credited. For project rescues and embedded engineering, pricing is scoped in a conversation based on your specific situation. We'll tell you upfront what it costs before any work begins.
How is this different from hiring a consulting firm?+
You get me - the senior engineer who built systems for Nasdaq and Siemens - directly. No B-team, no 32% markup for project management overhead. You pay for talent, not org chart.
Can one person really handle enterprise projects?+
I cover the full SDLC - not just implementation, but the discovery, architecture, security, and governance work that gets skipped when teams panic. That's the Magma Process. For larger engagements, I partner with Google Cloud PSO and specialist firms. The clients above weren't small projects.
Do you only do build and delivery, or strategy too?+
Both. Alongside the build work, Magma offers Strategic Foresight: a cited, dated, six-lens read on the shifts coming at your market, competitors, entrants, substitutes, and customer pain, so your team can adjust positioning and place its bets early. Same evidence-graded method, applied to your market instead of your codebase.
What does a typical engagement look like?+
Weeks 1-2: Discover and Define, understand your business problem, not your technology. Weeks 3-4: Develop, prototyping solutions you can see and choose. Weeks 5-6: Deliver to production. Every engagement follows the Magma Process, but the timeline and duration depend on the scope.
What if our project is already underway but stuck?+
That's our AI Initiative Unstaller. Fixed price, 4-6 weeks. Siemens was stalled - production in 6 weeks. Loblaw was burning $6M/year - cut in half. We diagnose the real blocker (it's rarely what you think) and either ship it to production or recommend killing it with a clear alternative.
What happens after the engagement ends?+
You keep everything we built - code, documentation, playbooks, decision logs. For teams that want ongoing AI advisory as the landscape evolves, we offer flexible retainer arrangements. Most clients find that a quarterly check-in catches more value than they expected, because AI capabilities shift faster than internal teams can track.
What if I just want to talk first?+
Book a 30-minute scoping call. No pitch. Bring your messiest AI question and I'll give you a straight answer. If there's a fit, I'll tell you. If there isn't, I'll point you in the right direction.
What's Been Stuck Too Long in Your Industry?
Whether it's an AI initiative that lost direction, a legacy modernization that stalled, or a business need that nobody has translated into a production system - let's find out if we're a fit.
30 minutes. No pitch. Bring your messiest AI question. I'll give you a straight answer.
Want to see it before you talk?
Two capabilities, one engagement. Start with whichever question is more pressing.