It searches and qualifies
The agent identifies relevant prospects, checks their fit and explains why, backed by sources.
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AI and prospecting · Live project
An agent that prospects on your behalf
Thiia is a sovereign AI agent for coaches, freelancers and entrepreneurs: prospect research, qualification, personalized emails, follow-ups and appointments in one GDPR-compliant application.
01Product challenge
Prospecting takes time nobody has.
Finding the right people, understanding their context, writing a fitting message, following up at the right time: the work is real, but it comes after client assignments.
Existing tools are reactive and fragmented: a CRM to fill in, an emailing tool, a scraper, a calendar. Nothing takes the initiative, and compliance is left to the user.
02Product response
A proactive agent, not a CRM to fill in.
It writes and follows up
Personalized emails, multi-step sequences and automatic stop as soon as a reply comes in.
It stays under control
Every send is validated, logged and reversible: consent, opt-out and history are built in.
03Key modules
The entire sales cycle in a single product.
Prospecting agent
The agent looks for relevant prospects, qualifies their fit and suggests next actions without waiting to be asked.
Relationship CRM
Contacts, prospects, clients, kanban pipeline and scoring: the whole relationship history in one place.
Personalized emails
Drafting in French or English, variants per segment, signatures and scheduled sending from the app.
Sequences and follow-ups
Multi-step scenarios with conditions, automatic stop on reply and open tracking.
Web research
Continuous monitoring of tracked accounts and topics, with cited sources to verify every piece of information.
Calendar and appointments
Google, Outlook and Teams sync, public booking pages and automatic reminders.
Conversation with the agent
A chat interface to query your data, generate an email, prepare an appointment or launch a search.
GDPR compliance
Explicit consent before every send, automated opt-out handling, consent log and unsubscribe page.
Multi-organization
Collaborators, invitations, roles and strict data isolation per organization.
Oversight and quotas
AI consumption, usage metrics, subscriptions and brand settings managed from a dedicated back office.
04Sovereignty and compliance
AI you can stand behind in front of a client.
Thiia was built with the opposite constraint of most AI tools: control of data and models first, features second.
The product publicly documents its models, its subprocessors and its procedures, so users can answer a compliance question without calling us.
Models
Mistral as the primary engine
The sovereign French model drives the agent's reasoning, complemented by specialized models for drafting and research.
Data
Zero training
Contractual commitment not to use user data to train the models.
Hosting
European infrastructure
Hosted in the EU, AES-256 encryption at rest, TLS 1.3 in transit, and multi-tenant isolation via PostgreSQL RLS.
Transparency
Public documentation
AI policy, impact assessment, subprocessor list and incident procedure published and accessible.
05Journeys and roles
One agent, three ways to use it.
Coaches
Booking pages, client wellbeing tracking and gentle follow-ups with the people they support.
Freelancers and independents
Automatic monitoring, personalized emails and opportunity tracking without stacking five tools.
Entrepreneurs and salespeople
Pipeline, scoring, multi-step sequences and integrations with tools already in place.
06Day to day
What the agent changes in practice.
- A single application instead of a CRM, an emailing tool, a lead scraper and a sequencer.
- Prospects suggested every day, qualified and prioritized, instead of a list built by hand.
- Emails ready to review, in the recipient's language and at the right time.
- Defensible prospecting: consent, sources and history tracked.
07Kreapp's approach
A shipped product, not a prototype.
Thiia is published by Kreapp: product design, AI architecture, security, documentation and production releases are all handled in-house.
Short cycles, tests with real users, then daily operation — the same method we apply to our clients' products.
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An AI agent to build for your business?
Let's talk about your data, your processes and what could become automatic.