Claude vs ChatGPT vs Gemini: Which AI Should You Choose for Development?
Software development is evolving at a breakneck pace, and generative artificial intelligence has become an indispensable...
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Our Paris-based agency builds custom AI chatbots and conversational agents for your website, your customer support and your teams: connected to your data, your CRM and your business tools, with a human handoff whenever a request requires it.
Three quick steps to prepare a useful conversation.
Step 1/3
They trusted our agency with their conversational AI project
We analyse the volume of your incoming requests, your documents and your tools to choose the first use case based on your business goals. The deliverable: a written scope, the journeys to cover and the success indicators.
Web chatbot, connected AI agent, internal assistant or voice agent: custom development for your specific needs. We design a personalised conversational solution, build the native integration with your tools, including Bubble, and test every journey before launch.
Your chatbot answers poorly or does not know your offers? We audit the conversations, the knowledge base and the integrations, then fix what is missing following a prioritised plan.
Models, platforms and integrations
For SYLA Project Conseil, a consultancy specialised in Qualiopi certification, PeakLab built a conversational assistant: it asks the consultant's clients the right questions, then drafts a first version of the file from their answers.
According to the published case, writing a file now takes a third of the time and the consultant runs three times more assignments in parallel. GDPR was built in from the first version.
This reference shows the principle behind any business chatbot: AI collects and prepares, the expert validates and stays responsible for the deliverable.
AI audio assistant turned into an embeddable module
Turning an existing audio assistant into a secure, embeddable and configurable iframe module for B2B customers.
Iframe
B2B integration
Tokens
Secure access
Brand-creator matching platform for content marketing
Brand-creator matching platform with intelligent matching and real-time performance analytics.
+45%
Campaign engagement
x3
Active creators
Solar platform & administrative automation
Platform redesign to automate administrative procedures and accelerate photovoltaic project management.
-60%
Administrative time
+38%
Revenue generated
Six areas of expertise from our agency to turn an idea into a useful, measured and maintainable conversational agent.
We map incoming questions, user profiles, accessible data and out-of-scope situations. The brief sets the business goals: resolution rate, handed-over requests, qualified leads. For the bigger picture, our digital strategy agency completes the study.
We structure your reference content (FAQ, product sheets, procedures, images, PDFs) into a knowledge base with a semantic search engine and access rights by profile. The chatbot answers from these sources, cites the useful page and flags when information is missing: it must stay up to date.
Defining the tone, writing welcome messages, clarifying questions and quick replies: we design smooth journeys on desktop and on Android or iOS mobile, with a polished tone and no artificial answers. Every interaction respects accessibility, and users can reach a person at any time, with a personalised follow-up.
HubSpot, Google Calendar, support tool, ERP, e-commerce catalogue or marketplace: every native connection goes through an API, with access limited to the required actions, and data stays within your tools. To orchestrate several tools, our n8n agency designs observable workflows.
An AI agent does more than answer: it opens a ticket, books an appointment or drafts a quote. Handled calls and messages are logged, specific cases handed over. The voice agent, with a natural synthetic voice, applies the same logic on the phone, with transfer to an advisor.
Before launch, a test set covers normal, ambiguous and off-topic requests. Afterwards, we track user satisfaction, the handoff rate, uncovered questions and costs against the goals set. Every improvement goes through review, keeping a human in the loop.
Hosting in France or Europe to keep your data close, access limited to the strict minimum and providers chosen for their privacy policy.
Your chatbot can switch from GPT to Claude, Mistral or Gemini without being rebuilt.
We train your teams to review conversations and update content; how the chatbot works is documented.
When the chatbot does not know, it passes the request to an advisor along with its context.
Define the use case, users, goals and limits of the chatbot
Knowledge base, access rights, tone and handoff rules
First conversational agent tested on your real questions by your users
Integrations, tests, training and launch on your website
Conversation analysis, new answers and new journeys
“Thank you so much for everything, your work was incredible. We went through 1000 hurdles, and you never gave up. You were patient, organized, available, and you transformed the project into something really solid! Without you, Upcreators wouldn't exist.”
Sofiane
CEO at UpCreators
“Great collaboration experience. Lucien demonstrated excellent technical skills, organization and listening. The project progressed efficiently under great conditions with smooth communication. Reliable, involved and full of initiative. I recommend.”
Janine
Co-founder at Astérisque
“Smooth collaboration and concrete results. The platform allowed us to automate our procedures and accelerate the management of our solar projects.”
Alexandre
Co-founder at Solteo
A chatbot agency designs and improves conversational assistants and agents for businesses: a chatbot on your website, an AI agent for customer support, an internal assistant for your teams or a voice agent for phone reception.
An AI chatbot understands a question asked in natural language, looks for the answer in your sources (FAQ, catalogue, procedures, product sheets) and replies in seconds, 24/7, with immediate and personalised help. When a request falls outside its scope, it hands over to a person in the right department.
First-generation chatbots followed a fixed decision tree. Today's chatbots run on artificial intelligence models such as GPT, Claude, Mistral or Google's Gemini: they understand varied phrasing, keep the context of the conversation and take action in your tools.
Chatbot or AI agent? A chatbot answers. An AI agent goes further: it checks your management software, opens a ticket, books a slot or drafts a quote. Our agency builds both, depending on how much autonomy you want to give it.
Thanks to language models, building a chatbot no longer takes months of scripting. The work now lies in content quality, handoff instructions and native integration with your tools.
The most profitable use cases for an SME: first-line customer support, lead qualification on the website, appointment booking, quote preparation, product guidance in an e-commerce catalogue and an internal assistant that finds a procedure in seconds.
In e-commerce, a chatbot helps visitors find the right product, answers questions about delivery times and order tracking, reassures before purchase and highlights current offers. It also serves an online shop or marketplace sellers who get the same questions on every listing.
In marketing and sales, the conversational agent qualifies visitors with a few questions, records the lead in HubSpot or Pipedrive and offers a meeting with the sales team. The static form becomes a conversation.
For your staff, an assistant connected to your knowledge base answers their technical, business or HR questions. Information no longer sleeps in shared folders.
A voice chatbot follows the same logic on the phone: a voice agent answers frequent calls, books appointments and transfers to an advisor as soon as a case gets complex. The synthetic voice stays clear and callers know they are talking to an AI.
Conversational AI covers both text and voice. A well-designed conversational solution keeps the same tone, the same knowledge and the same history on the website, on WhatsApp and on the phone.
A chatbot can also read an image: a photo of a damaged product, a screenshot of an error, a scanned document. It identifies the request, handles it or routes it to the right team.
To choose a chatbot agency, look at three criteria: live references you can see, developers able to integrate the chatbot with your existing tools and a testing method before launch.
Off-the-shelf platform or custom solution? Intercom, Zendesk or Crisp are enough for a simple FAQ. Custom development becomes useful as soon as you need a connection to your business data, precise rules or full control over the code and hosting.
We also build chatbots into existing applications: a web app, a SaaS, a customer portal, a Bubble app or a WordPress site. Native integration respects your brand guidelines, your front-end framework and your user journeys.
The widget fits anywhere and adapts to every screen. On mobile, iPhone or Android, it opens full screen. We take care of accessibility (contrast, keyboard navigation, screen readers) so every user can interact with the agent.
A chatbot's quality depends first on its sources. Building a good chatbot means building a good base of answers: we prepare your reference documents, organise their updates and measure the rate of correct answers before and after launch.
A chatbot does not replace your organic rankings on Google. It complements your site's internal search engine: visitors ask their question instead of browsing pages. Our SEO agency works on both.
Every solution is personalised: brand image, the vocabulary of your industry, rules specific to your business. A generic chatbot sounds like everyone else; yours should answer like your best advisor.
A chatbot must be honest about its limits. Better an assistant that says "I don't know, I'm passing you to an advisor" than one that makes things up. That is the first principle of our approach.
Every interaction is logged: thanks to these logs, you see the questions asked, the answers given and the handoffs. These interactions feed improvements, always after human review.
The business impact is measurable: requests resolved without intervention, qualified leads, cost and time saved by support, satisfaction. These indicators must be defined before development, not after.
Volume matters too: above a few dozen repetitive requests a day, a chatbot quickly pays for itself. Below that, a good FAQ is often enough, and we will tell you so.
The advantage of a well-integrated chatbot: measurable efficiency without hiring. Your teams keep the high-value requests.
For a small business, a chatbot is often the first AI project. It launches quickly, is easy to measure and prepares other uses of artificial intelligence in the company.
We use proven frameworks such as LangChain, documented APIs and code your developers can take over. A professional can audit how each answer is produced.
We deploy on a European cloud or with your provider. Mistral and open source models can run on dedicated servers for sensitive data.
Privacy is handled from the design stage, with hosting in France when needed: models that do not train on your conversations, limited access rights, GDPR and AI Act compliance.
Our support covers the full cycle: request audit, conversation design, development, acceptance testing and maintenance. You keep a single point of contact, up-to-date documentation and full access to the code.
Based in Paris, our team works remotely with companies across France: small businesses, SMEs and mid-sized companies in every industry. The same pair follows your project from scoping to post-launch follow-up. Our blog articles also explain our technical choices.
Specialist agency or generalist web agency? A typical web agency installs a widget. An agency specialised in conversational AI prepares content, writes journeys, connects tools and measures results.
Agency, freelancer or platform? A freelancer suits a small scope. A platform is enough for an FAQ. An agency brings a full team (project manager, AI expert, developer, designer) and continuity after launch.
Our agency works in every industry: service companies, manufacturers, e-commerce sites, marketplaces and software publishers. Every project starts with your users: who asks the question, when, and what information they expect.
A serious agency also tells you what AI must not do: decide in place of a person on a dispute, promise a refund or answer without justification. These limits must be written down in the project specification.
For your customers, the experience changes: a personalised answer at any time, without waiting, and a person when needed. For your staff, it means fewer hours spent looking for information.
Our agency can build an AI agent from scratch or improve a first version. It also trains your teams so they can manage content and offers without depending on us.
In customer relations, the conversational agent retrieves from your tools each customer's history, orders and past requests. Customers no longer have to repeat their file number.
On your website, the chatbot appears at the right moment, on desktop and mobile: on a product page, on the contact page to reach a salesperson or before checkout. Each web page can have its own message and its own offers.
For a multi-site company or one with several business lines, the solution manages separate profiles and spaces. Each user only sees the information relevant to their role.
After launch, the support continues: monthly review of conversations, new content, new journeys. Our agency provides these services over time, with the same pair.
A good chatbot is judged by the share of requests it resolves, not by the demo.
PeakLab runs these projects alongside our generative AI agency and our web development team. Signs a chatbot would save you time:
Because a chatbot cut off from your tools quickly hits a ceiling. At PeakLab, AI experts and developers work together in Paris: our support covers the agent, the conversation, the interface and the native integration with HubSpot, your calendar or your ERP. For workflow orchestration, our n8n agency takes over.
Spot the requests you could hand over to a chatbot or a workflow.
Discover the toolScopingStructure goals, constraints and deliverables in a shareable document.
Discover the generatorNo-codeCheck whether your current no-code tool lets you leave with your history.
Take the testSoftware development is evolving at a breakneck pace, and generative artificial intelligence has become an indispensable...
Read the article
Can't find your question?
Ask Lucien, PeakLab's CEO, directly during a free discovery call.
A chatbot agency designs and builds conversational assistants for your company: use case scoping, source preparation, chatbot development, native integration with your website and tools, testing, then conversation follow-up to improve the answers.
The budget depends on the number of journeys, the sources to prepare, the integrations and the level of testing required. After a first call, we separate the pilot from production in a written proposal.
A chatbot answers questions. An AI agent also acts in your tools: it opens a ticket, books a slot or updates your CRM, with limited rights.
Yes. A widget takes a few lines of code, or we integrate it directly into your application.
Yes, through an API. The chatbot creates or enriches the contact record, saves the conversation and triggers the planned follow-ups.
Yes. The voice agent answers frequent calls, books appointments and transfers to an advisor when needed.
Yes. The widget is responsive and works in every browser; it can also be connected to WhatsApp.
It searches for answers in authorised sources at the time of the question. There is no need to retrain a model on your data.
No generative chatbot is infallible. We reduce the risk with a limited scope, controlled sources, tests and refusal rules.
We test several models on your real questions and compare quality, cost, latency and hosting before choosing.
Yes when required, with Mistral or open source models on servers in France or Europe.
Users must know they are talking to an AI. We show it clearly from the first message and document your choices.
Yes. It asks the qualification questions, records the lead and offers a slot in the right salesperson's calendar.
Yes: product guidance in the catalogue, order tracking, returns and pre-purchase questions.
No. It handles simple requests and passes the others to your advisors, with the conversation context.
Yes. We audit the conversations, sources and integrations, then fix what is blocking.
Analysis of uncovered questions, updates to sources and models, new journeys based on your priorities.
Yes. Our head office is in Paris, at 60 rue François Ier, and we work remotely with companies across France.
We follow accessibility best practices: contrast, keyboard navigation and compatibility with screen readers.
Yes. It answers HR, technical or business questions from your documentation, with each employee's rights.
Resolution rate, handoff rate, uncovered questions, qualified leads and satisfaction.
A platform is enough for a simple FAQ. Custom development is the answer as soon as you need integrations, business rules or control over the code.
Yes, from your price list and the visitor's answers, with validation by your team before sending.
Current models handle most languages. We test your customers' languages before launch.
Yes. The chatbot reads and updates HubSpot contacts, deals and tickets, with limited rights.
Yes. Recent models read a photo or a screenshot and extract the request to handle.
Yes. You validate the sources, the rules and sensitive answers; no change goes to production without you.
Yes, on a European cloud or with your provider, depending on your privacy requirements.
Frequent questions, order tracking, appointment booking and qualification. Everything else goes to an advisor.
We do, your team does, or both. Maintenance covers sources, models, costs and new journeys.
It complements it: visitors ask their question in everyday language and get an answer with a link to the right page.
If volume is low, a well-structured FAQ is often enough. We tell you during the audit.
An agency brings together an AI expert, a developer and a designer, and ensures continuity after launch. A freelancer suits a short scope.
Yes. The chatbot takes into account the profile, history and page viewed, within the defined rights.
Yes, with limited rights and human validation on sensitive actions: refunds, contract changes, sending quotes.
Book a slot from this page: an expert calls you back for a free 30-minute conversation.
Can't find your question?
Ask Lucien, PeakLab's CEO, directly during a free discovery call.
A Paris-based AI agency, PeakLab works remotely with companies across France. A free 30-minute consultation, then tailored support: a frank opinion on the most profitable use case, the sources to prepare and the best way to launch your chatbot.
Lucien ArbieuCEO and co-founder of PeakLab
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