About
We built the workspace we wanted to use.
Not because we thought CRM was a good market. Because we kept paying for eleven tools that didn't talk.
The story
We started Lebertech to build software that actually fits how small and mid-sized teams work — not how enterprise vendors assume they work. The first version of Atlas was a CRM. Then we added an inbox. Then a project tracker. Then we noticed that every new product we added made the platform more useful than the sum of its parts — because they shared one record.
When AI became practical, we made a decision early: agents would be first-class citizens in the platform, not a chatbot wrapper on top of it. Every product surface is exposed through MCP. Every write is gated and logged. The AI works the same record as the humans — with the same audit trail.
Atlas is now twenty products, one data model, and a governance layer that lets teams move fast without losing visibility. Built by Lebertech — a small team that still uses Atlas every day to run our own business.
The Atlas Operating Model
Twenty products,
four layers, one workspace
The People Layer holds who you sell to. The Work Layer holds what you do for them. The AI Layer connects the two. The Governance Layer makes the whole thing safe.
The AI Layer
The intelligence that connects the two
NyLi
The workspace assistant. Reads your data, proposes the action, waits for your approval.
Learn moreAtlas Agents
Register, run, and supervise AI workers for research, enrichment, and outreach.
Learn moreAtlas Knowledge
Vector-powered knowledge base. Drop in your docs; you and NyLi get answers in seconds.
Learn moreMS Copilot
A governed Atlas surface inside Microsoft Copilot Studio and Teams mobile.
What we believe
Six things we won't compromise on.
01
Software should consolidate, not fragment.
Every new SaaS tool is a new place to log in, a new data silo, and a new line item. We built Atlas to go the other direction: fewer tools, more surface area per tool.
02
AI that acts must be audited.
Any system where an agent can write to a database without a log entry and a human approval is a system waiting to fail. We baked governance in from day one.
03
The protocol matters.
We chose MCP not because it's trendy but because an open standard means your workflows aren't trapped inside one vendor's API. Interoperability is the point.
04
Multi-LLM is not a feature. It's a hedge.
Model quality, cost, and compliance requirements change. Your platform shouldn't force you to pick one and live with it forever.
05
Small teams deserve enterprise tooling.
Audit logs, approval gates, and encryption aren't features for regulated industries — they're what responsible software looks like. We don't gate them behind the top tier.
06
Your data is yours.
Export everything, at any time, in a format you can read. Full stop.
Built by people who use it every day.
Atlas runs our business. It can run yours.
MCP approvals · Audit logs · MFA · Bring your own LLM