#01
We frame
We validate your goals, timelines, and expectations with a prototype delivered in 48h (thanks to AI). Conversations start on concrete ground — we save a week of back-and-forth and lock in a timeline right away.
AI Solutions
AI Solutions
Boost your business with AI.
Accelerated processes, augmented products, informed decisions. Measurable results from the very first weeks.
#01
Free your teams from repetitive tasks
Document processing, data extraction, customer follow-ups, email classification, report generation… Your teams know how to do it all. But they shouldn't be spending their days on it! We delegate these tasks to AI agents that run around the clock — no data-entry errors, no fatigue.
Example: automatic analysis of 5,000 contracts per month, extracting risk points in 15 seconds.
#02
Turn your data into operational intelligence
Your business data is precious. Today, it sits idle in databases, spreadsheets and CRMs. We connect it to AI models to create an intelligent memory of your company: a system that knows your context, answers complex questions with precision, and cites its sources.
The result: an AI that answers like an in-house expert — with the rigour of a tool and the precision of a specialist.
#03
Augment your existing products and tools
Your application works? We amplify it. Our team integrates AI blocks directly into your current interface: recommendation engine, anomaly detection, conversational assistant, predictive analytics. Your product, augmented.
#04
Deploy agents that work for you 24/7
Answering questions is good; taking action is even better. Our agents analyse requests, query your data and trigger an action: email, CRM update, alert, report. Complex workflows, automated end to end, with full supervision.
Example: collection agents that analyse overdue payments, draft reminders tailored to the debtor's profile, and send them without human intervention.
#05
Create new interfaces for your users or your teams
Customer chatbot, voice assistant, semantic search engine, interactive training tool… These new interaction layers transform how your users access information — and how your teams work every day.
The Kreante approach
From prototype to launch, without turbulence.
#02
We design
Depending on your project's stage, we craft your visual identity from scratch. But what truly makes the difference in building an app users love is its user experience (UX).
#03
We build & secure & test
Now it's our turn! We architect the right data structure to guarantee the trifecta: speed, security, scalability.
Throughout every step, you have a dedicated project manager who treats your project as if it were their own.
The solution is ultimately delivered to you
- responsive (pleasant on any screen)
- guaranteed free of critical bugs
Proof in the results
Their ideas became their competitive edge
BrandingLandingWeb Application
Laboratoria+
Challenge
Stack
Bubble
LowCode platforms reduce the time and effort needed for app development, using visual interfaces instead of extensive coding. They offer quick deployment and cost savings, making them ideal for organizations in education and SaaS.
RebrandingLandingWeb Application
Shareleads
Challenge
Stack
Flutterflow,Supabase,Webflow
RebrandingLandingWeb Application
Roc Solutions
Challenge
Stack
Weweb,Xano,Webflow
BrandingLandingWeb Application
Motives Solutions
Challenge
Stack
Weweb,Xano,Webflow
RebrandingLandingWeb Application
Meetern
Challenge
Stack
Weweb,Supabase,Webflow
Design Development
Maria Schools
Challenge
Stack
Bubble
In the evolving landscape of web development, choosing the right approach for custom software development is crucial.
Native Application
INSPO
Challenge
When INSPO approached our NoCode/LowCode agency with their vision of creating the definitive platform for thought leadership, we knew this project would push the boundaries of what’s possible with…
Stack
Flutterflow
In the rapidly evolving landscape of NoCode/LowCode development, creating sophisticated applications no longer requires months of traditional coding.
BrandingLandingNative Application
Hoopsquad
Challenge
When HoopSquad approached Kreante with their vision, we faced a significant challenge: how to design and build a mobile platform that could cater to both casual and professional players.
Stack
Flutterflow,Firebase,Webflow
Looking for a way to connect with other basketball enthusiasts, organize games, and rate players? HoopSquad’s basketball community app provides all these features and more. In this article, we’ll explore how HoopSquad was built, its key features, and why it’s a game-changer for basketball fans.
Web Application
Garde Robe
Challenge
Stack
Bubble
When Garde-Robe presented their innovative vision to make fashion more social and collaborative, Kreante, a leading NoCode and LowCode agency, eagerly embraced the challenge.
Web Application
Decathlon
Challenge
Stack
Weweb,Xano
In the sustainability-focused retail landscape, product repair and maintenance play a pivotal role in circular economy initiatives. Businesses are increasingly adopting innovative solutions to reduce waste and extend product life cycles.
RebrandingLandingWeb Application
Class2Class
Challenge
Stack
Bubble,Xano
BrandingNative Application
SmartCab
Challenge
When SmartCab approached us, they faced a common dilemma in the transportation industry: how to rapidly modernize their operations while ensuring robust, scalable systems. The solution required more…
Stack
Flutterflow,Firebase,Supabase
In the fast-paced world of digital transformation, an inspiring story unfolds. SmartCab has completely revolutionized its operations by strategically using NoCode and LowCode solutions.
4,9/5 on Clutch
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Frequently asked questions
Clear answers to put your last doubts to rest.
That's the case for most of our clients at the first conversation. We always start with a scoping phase to identify, among your existing processes, the ones with the most to gain from AI — crossing your operational reality with what the technology can concretely deliver. You don't need to arrive with an AI roadmap. It's our job to help you build it.
Rarely a blocker, often a starting point. A large part of our work consists precisely in structuring, cleaning and connecting your data so that AI models can make the most of it. What matters is that the data exists — not that it's already perfect.
By not letting the models run free. We connect the AI to your own data — your documents, your databases, your business flows — rather than letting it generate answers from its general training. The AI answers with your sources, and it can cite them. For critical workflows, we systematically add a human validation step before any irreversible action.
Never. We exclusively use the Enterprise versions of the APIs (OpenAI, Anthropic, Mistral), which contractually guarantee that your data is never used to train public models. Your business data and personal data remain strictly confidential and GDPR-compliant.
We build performance indicators in from the scoping phase, not after the fact. Depending on the use case: average processing time, error rate, volume handled without human intervention, or a direct business indicator (collection rate, customer satisfaction…). Defining these metrics upfront is what makes it possible to measure the value generated objectively — and adjust if needed.
That's the norm. We connect via API to your CRMs, ERPs, databases, communication tools (Slack, Teams) or proprietary systems. The initial scoping always includes a mapping of your technical ecosystem to make sure the solution fits in without friction.
It depends entirely on how it's designed. Our optimisation role is to pick the "right-sized model": use a small, fast, inexpensive model for simple tasks, and reserve the powerful models (like GPT-4o) for complex reasoning. We optimise the structure of your prompts and set up caching — the result: an API bill that is significantly reduced and proportional to actual usage.
An AI building block (such as a RAG knowledge base) can be up and running in 15 days. We favour short cycles: we ship a quick PoC (Proof of Concept) to validate the business value, then move on to optimisation and deployment at scale.