The products we build for ourselves.

Why it exists

We built it because we wanted a product of our own — one where decisions on scope, pricing, stack, and roadmap are real bets we pay for directly. That's the only way to learn how the products we recommend to clients are actually shaped.

What it proves

Veendo proves we can take a digital product from scope to live and keep it alive over time, without leaning on a client to make the calls for us. When we work for you, the same care — design, code, infrastructure, iteration — moves into your house.

At a glance

• 01Owned product, not client work: scope, roadmap, and priorities decided internally.
• 02Modern end-to-end stack (Next.js, TypeScript, Tailwind) with continuous deploy on Vercel.
• 03Architecture, code, and infrastructure maintained by the same team that ships the product.
• 04Real post-launch iteration: the product evolves in production, not in slide decks.

Why it exists

Imooge comes from a problem we keep seeing outside our client work. We're attacking it from the point most teams skip: a public landing and a written product point of view, before the first feature is built.

What it proves

It shows how we actually start a product: point of view first, public promise second, execution third. Same order we propose to clients when they ask us to take them from zero, instead of starting from a feature list.

At a glance

• 01Internal initiative: scope and timing driven by our strategy, not by client demand.
• 02Public landing already online as a first verifiable step.
• 03Same technical philosophy as Veendo: modern stack, owned code, no lock-in.

Why it exists

Quill comes from a recurring need in client projects: deliver reliable automated answers without the model making things up. We built it as our own product to prove serious architectural isolation in RAG is possible — the chatbot answers only from the uploaded documents, never from the model's general knowledge.

What it proves

Quill proves we can ship a complete AI product: async ingestion, vector search, RAG pipeline, embeddable widget, configuration dashboard, and conversation analytics. When a client asks for an AI assistant on their own content, we speak as someone who's already shipped one — not as someone integrating a library.

At a glance

• 01Architectural isolation: answers come only from retrieved chunks, never from the model's general training.
• 02Owned end-to-end pipeline: multi-format parsing, chunking, embeddings, vector search, generation.
• 03Vanilla TypeScript widget under 50KB with Shadow DOM — zero conflicts with the host site's CSS.
• 04Angular 20 dashboard with branding configuration, live chatbot testing, and conversation analytics.
• 05Serverless backend on AWS Lambda with Hono, MongoDB Atlas Vector Search, and SQS-driven ingestion.

Why it exists

MatchBoard comes from the need to bring a broadcast-grade experience to venues without a dedicated director. We built it as our own product to prove that a modern web stack can replace traditional live-sport hardware with real-time software a single operator can run.

What it proves

MatchBoard proves we can ship an end-to-end realtime system: multi-tenant dashboard, offline-first mobile controller, three TV display modes, and a built-in advertising engine for monetization. When a client asks for a live, data-driven product, we speak as someone who's already running one — not as someone evaluating a realtime library.

At a glance

• 01Multi-tenant architecture with owner / admin / operator roles and a platform super-admin.
• 02Three TV display modes (split, team-1, team-2) with typography readable from 5+ meters.
• 03Offline-first mobile controller: the timer keeps running even when the network drops.
• 04Realtime via Supabase broadcast: animations and score updates sync across every connected screen.
• 05Built-in advertising engine with scheduling by time slots, match phases, intervals, and daily caps.

Why it exists

Deziq PM comes from a pain we see in every client managing teams and deadlines: living daily across HubSpot, Asana, FattureInCloud, and Toggl, with data that never talks across tools. We built it as our own product to prove you can keep everything — from the first call to the invoice payment — on a single dashboard, without giving up the depth of a vertical tool.

What it proves

Deziq PM proves we can ship a complete enterprise suite: 15+ integrated modules, sales pipeline, billing, time tracking, and client portal. When a client asks for an internal multi-module platform, we speak as someone who's already operating one — not as someone evaluating a framework.

At a glance

• 013-in-1 suite: project management, CRM, and billing on the same data model, with no external integrations.
• 02Configurable deal pipeline with weighted forecast and tracking for calls, meetings, and emails.
• 03Quotes and invoices with automatic numbering, public acceptance from the client portal, and professional PDFs.
• 04Multi-source lead generation (Google Maps, Apify) with enrichment via Hunter, Apollo, Clearbit.
• 05Serverless backend on AWS Lambda with Hono, MongoDB, and async ingestion via SQS.