Explore
Products
Verticals we serve
Music Companies
Bandzoogle, Music Glue alternative.
Opticians
iLens, Mistral, VisionWeb alternative.
Real Estate Agencies
Whise, Sweepbright, Immoweb alternative.
Restaurants & Takeaways
Uber Eats & Takeaway commission alternative.
Services
Brand-Driven Product Strategy
Align product design with your brand's identity and goals.
UX & Design Systems
Build consistent, scalable, and user-friendly interfaces.
Development Support & Execution
Turn designs into real, high-quality digital products.
AI-Powered Workflows & Innovation
Use smart tools to move faster and reduce cost.
Everyone talks about AI. We build with it.
AI is transforming how teams design, build, and operate — but most companies don’t know where to start. We help you find the right use cases, test fast, and integrate AI meaningfully into your product or process.
Let’s Build Together
// WHY AI NOW
You don’t need an AI lab.
You need traction.
The gap between AI talk and AI action is widening fast. Companies shipping AI today are quietly building moats that won’t be available tomorrow.
say AI will give them a competitive advantage — but only 19% have adopted it at scale.
→ 65-point execution gap
Companies that adopt AI early grow 50% faster in productivity and customer retention.
From idea to working prototype using your real data and tools.
Across docs, search, automation, and decision-support workflows.
Full code, docs, and training — your team owns and scales it.
// 01 · DISCOVER & SCOPE
Find AI opportunities
that move the needle.
We audit your workflows, data sources, and team capabilities — then surface a shortlist of AI use cases scored by impact, feasibility, and risk. No vendor pitches, no hype.
- →Workflow audit — map friction, surface bottlenecks, identify automation targets.
- →Data readiness check — inventory of sources, access, quality, and governance gaps.
- →ROI-scored shortlist — top use cases ranked by impact, feasibility, and risk.
- →Roadmap & budget — clear path forward with timeline and resource estimates.
// TYPICAL ENGAGEMENT
Discovery sprint with workshops, audits, and a final report.
// YOU LEAVE WITH
- 01 Use-case shortlist (PDF + Notion)
- 02 Data readiness assessment
- 03 Prioritized roadmap
- 04 Build vs. buy recommendations
Miguel Aprossine
AI & Web3 Visionary Partner
AI isn’t here to replace your team
“We use AI to cut the noise, speed up workflows, and reveal smarter ways to build. It’s not about hype — it’s about helping real teams move faster with less friction.”
Get in touch
// PROTOTYPE TIMELINE
From kickoff to a working AI prototype on real data.
// WE PROTOTYPE WITH
// 02 · PROTOTYPE FAST
Working prototypes,
not slideware.
We build real AI prototypes in 2–4 weeks using your data, your tools, your infrastructure. You see measurable results before committing to a full build.
- →Real integrations — not mocks. We connect to your actual data sources and APIs.
- →Staging deployment — accessible URL your team and stakeholders can test live.
- →Outcome metrics — measurable wins on time saved, accuracy, or throughput.
- →Go / no-go decision — clear data to commit to a production build, or pivot.
New AI product we are working on
Membria
Knowledge Memory Layer
Membria builds a decentralized memory and reasoning layer for Tiny Language Models, enabling AI to learn, adapt, and grow smarter over time.
// 03 · SHIP & OWN
Production-ready —
and fully yours.
We deploy to production with full code, evals, docs, and team training. Your team owns and scales it — no consultant dependency, no black boxes.
- →Evals & benchmarks — quality metrics, test sets, and regression guards.
- →Monitoring & observability — dashboards for latency, cost, and quality drift.
- →Guardrails & compliance — safety, privacy, and policy enforcement in place.
- →Team enablement — docs, training sessions, and 30 days of post-launch support.
// PRODUCTION HANDOFF
Full ownership — code, infrastructure, and knowledge transfer.
// HANDOFF PACKAGE
- → Source code + Git history
- → Architecture & ops docs
- → Eval suite + benchmark data
- → Training sessions (recorded)
- → 30-day post-launch support
WHAT YOU GET
Everything you need to ship AI.
From use-case discovery to production handoff — concrete deliverables, not slideware.
Use-Case Shortlist
Shortlist high-impact AI opportunities with ROI, feasibility, and risks assessed.
Data Readiness Plan
Audit data sources, access, quality, and governance before building anything.
Prototype in Weeks
Build a working prototype fast using your docs, tools, and systems.
Evaluations & Benchmarks
Define evals, test sets, and metrics to measure quality reliably.
Guardrails & Compliance
Add safety, privacy, and compliance guardrails for real-world deployment.
Handoff & Enablement
Ship with docs, training, and ownership so your team scales.
FAQ
AI innovation — your questions, answered
How do you decide which AI use cases are worth building?
We start by auditing your workflows and data, then shortlist use cases ranked by ROI, feasibility, and risk. You get a clear picture of what’s worth doing now, what to defer, and what to skip — before anyone writes code.
How fast can we see a working prototype?
Usually two to four weeks. We build prototypes on your real data, tools, and infrastructure — not a generic demo — so what you see is a realistic preview of production, not a toy.
Will our data be safe, and is this GDPR-compliant?
Data protection is built in, not bolted on. We assess data access, quality, and governance up front, and add safety, privacy, and compliance guardrails before anything is deployed — important for EU and Belgian requirements.
Do we own the AI solution, or are we locked in?
You own it. We ship to production with full documentation, evaluations, and team training, so your people can run and scale it without depending on us. No black boxes, no lock-in.
We don’t have a data team. Can you still help?
Yes. Part of our work is a data-readiness plan — auditing sources, access, and quality — so you don’t need an in-house data team to get started. We meet you where your data actually is.
How do you make sure the AI is actually reliable?
We define evaluations, test sets, and metrics so quality is measured, not assumed. Combined with guardrails and monitoring, this keeps the system dependable in the real world instead of just impressive in a demo.
Which models and tools do you use?
We’re model-agnostic and pick the best fit for the task and your constraints — including the latest large language models — rather than forcing one vendor. The right choice depends on accuracy, cost, privacy, and where your data lives.
Get Started Today
We work with founders, product leads, and marketing teams to shape digital products that reflect who you are — and scale with who you’re becoming.