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Français
PortuguêsA quote ready before you get back to the office
A site visit, photos and a voice note become a structured quote ready for approval.
Visit + photos + voice note → structured quote
The problem is not “doing AI”. It is losing time between tools, documents and tasks nobody should repeat by hand.
Use cases
Where could software already take work off your plate?
Choose the friction closest to your daily work. We review the tools, data and first version that would actually be useful.
Answer Airbnb guests 24/7
The agent knows the property and booking, answers guests and escalates only the issues that need attention.
Message → context → answer or escalation
Respond to a tender in a matter of hours
The system reads the tender documents, extracts requirements, lists missing items and prepares a first technical proposal.
Tender → requirements → technical proposal
Collect overdue invoices
ERP and CRM data trigger contextual follow-ups, track payment promises and flag accounts at risk.
Invoice → follow-up → payment or alert
Turn documents into actions
An incoming PDF no longer sits in a folder: the required information automatically triggers the right workflow.
PDF → information → workflow
Three core capabilities.
AI agents, automation or custom software: the right starting point depends on the problem, your tools and what can realistically reach production.
AI agents
Assistants that understand situations and take action.
Explore this service →Automation
Less data entry and repetitive work.
Explore this service →Custom software
Software designed around your operations.
Explore this service →The solution connects to your environment.
APIs, webhooks, internal databases and custom tools.
Anthropic
Claude
Gemini
Mistral AI
DeepSeek
Perplexity
Make
Zapier
Airtable
Notion
Google Drive
Gmail
Google Calendar
Google Sheets
Google Analytics
WhatsApp
Telegram
X
PostgreSQL
MongoDB
Redis
Supabase
Docker
Cloudflare
GitHub
Vercel
Stripe
HubSpot
Intercom
Mailchimp
Jira
Linear
Asana
Dropbox
FigmaClient feedback
What these engagements improved in practice.
Qualitative outcomes from real experience, presented anonymously.
Our accountants have become more productive thanks to reports on our client companies generated by a custom AI tool, along with a system that automatically enters data into our accounting software. Although the software is old, Nicolas was able to build an effective integration to interact with it.
CEO, European accounting firm
Nicolas understood our needs and developed a product of impeccable technical quality, from the backend architecture through to the user experience and interface. Numerous integrations were implemented to connect the product effectively with our ecosystem.
CEO, US fintech startup
Nicolas was literally six times faster than our other developers, with an exceptional level of proactivity.
Product manager, European neobank
The integration of RAG and LLMs into production was executed perfectly. Our SaaS product, a complete AI platform, was also developed end-to-end by NDLZ. We are completely satisfied with the result.
CEO, AI SaaS
Built from scratch → production
Why NDLZ
A product engineer to take you from need to production.
I’m Nicolas, a software engineer and founder of NDLZ. I have built products and infrastructure for fintech, AI and B2B software startups. I work directly on every engagement, from scoping to delivery.
01Former CTO and lead developer
02Products built from zero to production
03One technical contact from first call to launch
From the first friction to a production system.
01→
Understand
The problem, tools, constraints and expected outcome.
02→
Design
The simplest solution capable of producing that outcome.
03→
Build
Short cycles with regular review points.
04→
Integrate
Connect the data and tools the team actually uses.
05
Launch
Deployment, documentation, monitoring and support.
We use AI when it creates tangible value, and conventional automation when that is enough.
Operations
After delivery, the system keeps working.
NDLZ can handle hosting, monitoring and improvements to keep the system reliable, controllable and transferable.
Hosting and monitoring
Maintenance and updates
Small improvements
AI cost tracking
Automation supervision
Or describe the problem in a few lines.
Describe the problem
A few lines are enough. We will reply with a concrete next step.