Zeus, the AI assistant by Provacy

Compliance accelerator

Designed to save you time, Zeus the AI assistant transforms GDPR complexity into useful, simple, and concrete actions:

  • Smart draft creation
  • Instant analyses and compliance assessment
  • Precise comparisons
  • Expert search

Beyond its specialized functions, Zeus is a full conversational assistant, always ready to answer your questions, anytime.

An assistant++ for the price of a chatbot

Zeus stands out thanks to its ultra-light architecture, which dynamically adapts to each interaction. It uses only 800 tokens at rest, in minimal configuration, and can deploy up to 3,900 tokens to perform its most complex tasks — such as creating or updating processing records, leveraging its expert knowledge of the GDPR. Where others just chat, Zeus acts, analyzes, and proposes solutions.

A healthy mind in a healthy body

Agile and sharp, Zeus thrives on simplicity, making it easy to work with. Without any special training or tedious fine-tuning, it naturally integrates into its environment. Compatible with the best models on the market (GPT-4.1 / mini, Gemini, Mistral Large, etc.), it even accepts your own API key for full control.

To fully harness its potential, a minimal context of 32k tokens is recommended (3k for its framework, leaving 29k for conversational tracking). And of course, the larger its playground, the better it performs.

No confidential data, such as the names of your software, tools, or third parties, is shared with the AI model.

Prices

Option Price excl. VAT / year
Assistant without API key provided 1200 €
Assistant + API key 1800 €

Prices and transaction limits depend on the AI models used. The €1,800 excl. VAT/year price includes:

  • Management of your API key(s): €360
  • AI model usage cost: €20/month of transactions, totaling €240

The volume can be adjusted according to your needs, and the price will be adapted accordingly based on the model used.

Example Models and Usage Limits

Here is an estimate of possible use cases for €20 tokens/month based on GPT and Mistral models. The GPT-4.1 model is currently recommended for optimal assistant performance.

Model AI Quality Input €/k Output €/k Total €/k (60/40) Approx. Tokens Available Estimated Analyses (10k tokens each) Recommended Users
GPT-4.1 🟢 Excellent 0.01 0.03 0.018 ~13.3 M ~1300 calls 1 (max 2)
GPT-4.1 Mini 🟡 Good 0.006 0.012 0.0072 ~33.3 M ~3300 calls 3 (max 4)
Mistral Large 🟠 Above Average 0.004 0.012 0.0088 ~27.3 M ~2700 calls 2 (max 3)
Mistral Medium 🟠 Average 0.002 0.006 0.0036 ~66.6 M ~6600 calls 6 (max 8)

Comparison

Criterion Zeus (Provacy) Classic AI Systems Heavier AI Systems
System Size 800 to 3,900 tokens 2,000 to 5,000 tokens 5,000 to 10,000+ tokens
Governance Rules (Ease of Understanding) Clear and simple, adapted for non-expert users Often complex, technical jargon or internal AI terms Very detailed, sometimes hard to follow without expertise
Typical Use Cases Deep GDPR expertise, comparative analysis
Pre-filled record creation (AI suggestions + user edits)
Step-by-step guided updates with validation
Simple FAQ, info extraction, short text generation
Standard assistance, no granular validation
Complex copilots managing multi-object and multi-process workflows
Cross-document analysis, full workflows
Data Compliance and Security Explicit user consent for data transmission
Full data visualization
Final granular validation of updates
No AI exchange storage, session-only data
Variable, often unclear data handling and storage
Little or no granular user validation
Highly variable, often long-term storage and automated analyses
More enterprise-focused with specific constraints
AI Model Compatibility Compatible with GPT-4.1, Mistral Large, Gemini, other high-performance LLMs
Key provided or client key as needed
Often dependent on a single or limited model Sometimes closed, dependent on specific AI vendor
Integration and Maintenance Flexibility Modular architecture, tools auto-loaded/unloaded
Smooth session management, lightweight context retention (20 messages)
Generally static, not optimized for long interactions Can be complex to maintain, often heavy integration

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