POCs that lead nowhere
Six-month pilots that never reach production. Slide decks instead of working tools.
Atlas indexes every spec, drawing, BOM, ticket and contract your company holds. It serves them, cited, through ChatGPT, Claude, Copilot or Mistral. No new chat tool to learn. No black box.

The hard part is not building AI, it is grounding it in what your company already knows. Atlas is that ground, the layer that compounds.
of AI pilots in industrial SMEs never reach production. They die in slide decks.
spent before a team decides to stop or pivot. Wasted on a use case with no ground truth.
measurable ROI on most stalled pilots. The question was never "where does it pay off?"
Six-month pilots that never reach production. Slide decks instead of working tools.
Without a grounded knowledge layer, AI answers sound right and are wrong. Trust erodes by week three.
Custom chatbots are one more tool to master. Adoption stalls. The gap with AI noise grows.
Vendor lock-in disguised as platforms. When the landscape shifts, you start over.
Product specs, drawings, BOMs, past proposals, support tickets, ERP records: indexed, referenced, and served through the integrations Claude, ChatGPT, Copilot and Mistral natively support.
Workshops, prompt patterns, role-specific workflows tied to real responsibilities. Adoption is where most AI initiatives quietly stall. Atlas does not ship without it.

One question. Atlas cites the right document, the right page, the right cell.
One layer. From there, every use case compounds.
Atlas sits between your teams, so everyone gets the same access to what your company knows, without depending on a single colleague to share it.
A fault on the line. The tech opens the chat, Atlas runs the full diagnosis and drafts a cited response.
A new RFQ lands. They need pricing references from past proposals. Atlas pulls the comparable projects in seconds.
Last 3 similar projects used the M-200 platform with 18% margin on hardware, 32% on services.
A new R&D engineer joins. Atlas assembles a curated onboarding pack from the right manuals, active projects and key docs.
Here is the onboarding pack for new R&D hires. Includes manuals, current project list, and key technical documents.
We map your documents and identify your team's most frequent friction points. Together we select one entry use case for Atlas, with a measurable baseline.
Atlas ingests the defined scope and plugs into the AI tool your team already uses. We measure usage and outcomes against the baseline, week by week.
We extend Atlas to additional use cases, integrate with your ERP or PIM where it matters, and train your teams to keep deriving value once we step back.
You leave with the architecture documentation, the schemas, the admin accounts, and the freedom to switch providers without starting over.







"We had the vision, but no methodological framework to make it real. Bumps brought us a clear structure, a complete team, and flawlessly controlled execution. That's what allowed us to identify, test and validate our model."
PROD · 2025Swiss hosting, role-based access across three user types (admin, shipper, carrier), QR-bill invoicing compliant with AFC requirements, and a complete technical handover document at the end of the engagement. Same discipline we apply when deploying Atlas. Production-grade, sovereign, and yours to keep.
Read the full case →Atlas does not replace the AI tools your teams use. It plugs into them through the standard integrations they already support (MCP, connectors, custom GPTs). Your teams keep the same chat interface. The AI simply gains access to what your company knows.
Every Atlas answer cites the source document and the page it comes from. When the information is not in your base, Atlas says so. It does not fill in with general knowledge. Before going live, we build an evaluation grid on your real cases (technical specs, past tickets, known answers) so quality is measured, not assumed.
Atlas respects the document permissions of your existing systems. It only exposes to a user what they already have the right to read, as if they had opened the file themselves. Same access logic, same boundaries.
Atlas re-indexes continuously (or on schedule, depending on the source). A spec corrected in the morning, Atlas answers with the new version in the afternoon. Previous versions stay accessible if your processes need them.
Yes. Question logs and source tracing are built in. Indispensable when AI is in the loop on a quote, a ticket, or a customer file. It is also a hard requirement for ISO-certified or quality-formalised teams.
On-premise or private cloud, hosted in Switzerland or France. Your data is never used to train any model. If your compliance requires it, Atlas runs on sovereign LLMs such as Mistral or self-hosted open-weights models.
PDF (including scans), Word, Excel, PowerPoint, technical drawings, schematics, BOM tables, exploded views, internal wikis, ticketing exports. Multilingual content (FR, DE, IT, EN) handled natively, relevant for Swiss and cross-border industrial teams.
ERPs (SAP, Sage, Odoo), PIMs (Akeneo), CRMs, ticketing tools (Zendesk, Freshdesk), document repositories (SharePoint, Google Drive, Notion, Confluence), and your file shares. If a connector does not exist, we build it.
Six weeks for a measurable Atlas pilot on a defined scope. Most teams see daily usage from week three onwards. If real adoption is not in place by week six, we say so. We do not extend pilots indefinitely.
Fixed fee for scoping and pilot, typical range CHF 15 to 40k depending on scope. Licence and setup afterwards. We do not use usage-based pricing. Your finance team appreciates the predictability, and adoption can grow without surprises on the invoice.
The ones your teams already use: Claude, ChatGPT, Microsoft Copilot, Mistral. We can also set up a private agent if you prefer. The principle remains: no new tool for your teams to learn.
Yes. Adoption is part of every Atlas engagement. We run workshops, build prompt patterns adapted to each role, and stay close to the teams during the first weeks of use.
The Atlas index, the connectors, the architecture documentation, the admin accounts, and a clean handover document. If you decide to bring everything in-house, or switch provider, you can. No proprietary lock-in.
Tell us about your use case. We will respond within 24 hours.