The platform for governed,
sovereign AI agents.
Agentic AI that starts with your data. Scalt indexes, cleans and links it into a governed graph, then puts it to work through agents your teams control.
French Tech2026 laureate
EuratechnologiesMember
BpifranceBFTT
OVHcloudfor Startups
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France Hub IAMember
Spark InnovationIncubationAn agent goes wrong first because of its data.
Not because of the prompt. Your tools, your emails, your tickets, the feeds you follow: it all ends up in your agents’ context, including a misread table, an IBAN left in clear text or an instruction hidden by a third party.
Every document is checked before it is indexed.
Before any agent reads it:
- Provenance and format
- Readable extraction
- Personal data
- Hidden instructions
- Duplicates and contradictions
At the slightest doubt, the document stays in quarantine.
It is never served to an agent, and only leaves after a logged review. OWASP lists memory and context poisoning among the risks specific to agents: checking at the door is the first line of defence.
What passes becomes a graph mapped to your business.
Customers, contracts, products, people: every entity is linked to its sources and to the others. Your agents no longer read isolated snippets, they follow relations.
Faster, with fewer hallucinations.
To answer, the agent follows the path from the contract to the person who owns it, instead of guessing among look-alike snippets. Every answer cites its sources, and if the graph does not know, the agent says so.
Everything the enterprise needs to put AI to work.
Not ten tools to glue together. One platform shared by your teams, where search, agents, knowledge and governance live together.
Commitments described on our Security page and in the DPA.
Notion, Drive, Salesforce… Your tools, with their access rights.
Connect the sources and tools each use case needs. Agents read, and act where you allow it, with everyone’s permissions. Each connector’s availability is confirmed with you during scoping.
Slack
Salesforce
Outlook
DocuSignOne platform. How your teams use it.
Not another agent builder, the infrastructure that makes a team of agents useful day to day.
Bring your own agents. Or use ours.
Choose your model providers, Claude, GPT, Mistral, Gemini or Llama, and attach your existing agents to your cases through the API and webhooks, within the documented scope. Scalt adds governance and supervision on top.
GPTSearch, assistant, agents and sources: one foundation.
Search, assistant, agents and cases rely on the same sources and the same access permissions.
Search your documents, cases and conversations, within your access permissions.
Scalter answers from your sources and helps you prepare the next steps.
Create, test and track agents, without leaving the platform.
Your connected sources, with their access permissions and updates.
From intent to production in 4 steps.
- 01Describe
Tell Scalter the task to delegate and the expected result.
- 02Connect
Scalter suggests the relevant applications, tools and sources; you adjust and connect.
- 03Test
Test on representative examples. You validate, Scalter adjusts.
- 04Supervise
Inbox + Cases give you control. You stay in charge.
Enterprise AI without giving up control.
Identity, data quality, guardrails, audit: you define each agent’s frame and track how it is applied, from design to production.
SSO/SAML/SCIM, roles and profiles propagated to every agent.
Freshness, lineage and dedup at the source.
PII redaction, retention and right-to-be-forgotten built in.
Continuous verification, least-privilege by default.
Guardrails, filters and policies applied to requests and answers.
Every decision, run and output logged and reviewable.
Versioned deploys and rollback.
Test sets, scoring and diffs before production.
Detection of prompt injections and sensitive content before they reach an agent.
Your data. Your jurisdiction.
Your AI.
Where your data lives, who can access it, what you take back when you leave: written answers. Hosting in France, European law, verifiable contractual commitments.
In a cloud in France, across two regions. The platform is operated by Scalt.
No model is trained on your content, by contractual commitment. Encryption at rest and in transit.
You get your documents and your case history back. Terms and timelines written in the DPA.
The guarantees to compare, point by point.
What a platform operated in France brings, and what to check with every vendor.
Generic comparison, naming no vendor. Check each vendor’s DPA, data residency and terms. See the comparison with Glean
Built for European companies that care about data sovereignty.
Whatever your size: if your data must stay in Europe and under your control, Scalt is built for you.
- Manufacturing
- Financial services
- Healthcare
- Retail & e-commerce
- Energy
- Public sector
- Logistics
- B2B services
The AI Act kit for your AI agents.
- Classify each agent in four questions
- Deployer and provider obligations, with their dates
- An audit-ready Excel register
Let’s discuss your first use case.
Describe the work you need done and the tools you use. We’ll prepare the demonstration around your needs.
Talk with someone who knows the product and your project.
Bring a recurring task and the result you need.
We’ll explain the next steps and the conditions for beta access.
What work would you
delegate to AI?
Tell us about a task that takes up your team’s time. We’ll review what Scalt can handle, the approvals needed and how your data would be processed.