AID Powered by AID — our open-source agentic delivery platform

Making Your Teams
Superhuman, Not Obsolete

The Iron Man model: the human stays at the core, AI becomes their execution layer. The engine behind it is AID — the agentic software-delivery platform we built, open-sourced, and run on real client work.

25+ yearsEnterprise engineering
30–50%Faster delivery, done right
Open sourceAID, in production

The human is the pilot. You issue the command; the AID pipeline executes phase by phase — and stops for your approval at every step.

Built for enterprise software teams running real stacks

.NET 9AzureReactPostgreSQL MicroservicesMainframe → Cloud
The Problem

Three Fears Killing AI Projects

Enterprises want AI. Everyone's talking about it. But these fears keep killing projects before they start.

Job Displacement

Teams resist AI because they think it's coming for their roles. Morale tanks. Adoption stalls. The best people leave.

Demo-to-Production Death Valley

57% of companies claim agents in production. Only 1 in 10 actually do — the rest are glorified demos that die in your real stack.

90% never ship for real

Vendor Lock-In

Every vendor wants to sell you their platform, their workflow, their vision. You already have a stack that works. You need AI that fits into it — not one that replaces it.

Our Approach

The Iron Man Model

Think Tony Stark's suit. The human doesn't disappear — they become more capable. AI as amplifier, not replacement. AID is the suit.

"You don't need a new religion. You need AI that fits YOUR church."
  • Senior engineers stop writing CRUD and start designing systems
  • Junior devs level up faster — AI handles grunt work while they learn patterns
  • Teams ship 30–50% faster without hiring more people
  • Your architecture stays coherent — the same humans still steering

Custom-fitted to your team.
We don't rip out your stack. We wrap AID around it.

Under the Hood

The AID Pipeline

Six numbered phases, each ending at a human gate. Two optional Deliver skills. Eleven feedback loops, with the Knowledge Base at the center — the open-source platform we run on your work.

The AID pipeline Six numbered phases run in sequence — Discover, Interview, Specify, Plan, Detail, Execute — each ending at a human approval gate. Two optional Deliver skills, Deploy and Monitor, follow. Eleven feedback loops connect later phases back to earlier ones, with the Knowledge Base at the center. 01Discover 02Interview 03Specify 04Plan 05Detail 06Execute Deploy Monitor optional 11 feedback loops · a human gate at every step · the Knowledge Base at the center Discover → Interview → Specify → Plan → Detail → Execute   +   optional Deploy & Monitor
Services

Clear Scope. No Surprise Invoices.

Every engagement is AID-powered — clear scope, full knowledge transfer, and zero lock-in. We scope each engagement to your team and stack.

Custom AI Agent Build

4–8 weeks · Project-based

Purpose-built AI agents that understand your stack, conventions, and domain. Code-review agents, migration assistants, test generators, documentation bots — integrated into your workflow with full handoff.

Team AI Enablement Training

1–2 weeks · Per team

Hands-on workshops using your actual codebase. Effective prompting, building trust with AI, workflow integration, and avoiding traps. Your code, your problems, your context — not slides about someone else's.

Ongoing AI Operations

Monthly retainer

AI isn't set-and-forget. Monthly performance reviews, prompt tuning, new agent development, priority support — you get on a call with us, not a ticket queue. Quarterly roadmap updates included.

AID · Done For You

AID-Powered Delivery

Per project · End-to-end

We build your software end-to-end through the AID pipeline — discovery, specification, implementation, review, and production monitoring. The same agentic platform we open-sourced, run by the people who created it.

AID · Adopt It

Adopt AID in Your Team

2–4 weeks · Installed + trained

We install AID directly into your repos, wire it to your stack and conventions, then train your team to run the full agentic pipeline themselves. Open source means it's yours to keep — no lock-in, ever.

Every engagement is scoped to your team, stack, and roadmap — no fixed menu, no surprise invoices. Tell us what you need and let's talk

The Casulo Promise

"Things go in raw. They come out transformed."

We Don't Ship & Vanish

We stay until it works in your reality — not just in a demo environment.

No Black Boxes

Your team owns everything we create. AID is open source. Full knowledge transfer, always.

No Knowledge Gatekeeping

Our goal is to make ourselves unnecessary. We teach, not trap.

Success = your team no longer needs us.
Why Us

We Don't Just Consult. We Practice.

Andre Vianna brings 25+ years of enterprise software engineering — mainframes through microservices, .NET Framework through .NET 9, Azure from VMs to Container Apps. He's lived through every architecture trend and seen what ships and what dies.

But credentials alone don't make us different. Every consultant has a resume.

Here's what makes us different: we work alongside AI agents every day. Not as a novelty. Not as a demo. As the actual way work gets done — designing systems, writing code, reviewing architecture, building products.

The Receipts

We built & open-sourced AID — our agentic software-delivery platform — and we run it on real client work, every day. It isn't a slide. It's the engine we use to ship.

Read the AID docs

Memory Gems was built from concept to app store by a two-person team: one human, one AI. That's not a talking point — it's a shipped product.

You've Already Seen It

The assessment you received? We researched your stack before we ever got on a call. We walked in knowing your architecture, your pain points, your opportunities — because we did our homework.

You've already experienced what we sell.

The Live Proof

On our call, we don't give you a pitch deck. We solve a real problem from your backlog — with AID, in real time, screen-shared. Then we ask:

"Want your team to work like this?"

Proof Points

The Data Speaks

AI integration done right delivers measurable results. Done wrong, it makes things worse.

19%
Slower Without Proper Integration
METR Study — Senior engineers without proper AI setup
90%
Of "AI in Production" Are Demos
McKinsey — Only 1 in 10 claims are real
40%
GenAI Projects Will Fail by 2027
Gartner — Cancelled or postponed
30–50%
Productivity Gains When Done Right
Industry benchmarks — Correct AI integration
Rakuten: one engineer managing 50 developers with AI orchestration. AI-native companies see 5–7x revenue per employee. They're not replacing people — they're making each person vastly more capable.
Get Started

Let's Start With Proof, Not Promises

Tell us your team, your stack, and your biggest pain points. We'll tell you honestly if AI can help — and if we're the right fit. No pitch deck. Straight answers.

Ottawa, Canada · Remote-first, global clients welcome
25+ years enterprise software engineering

No spam. No sales sequence. A real human reads every message.