Two layers. One business that finally describes itself the same way twice.
Compass — the system layer
The AI-native ERP your business becomes.
Each function is built on its own, connected to the rest, and queryable from one place. Finance. Sales and CRM. Marketing. HR. Inventory and supply chain. Projects. Operations and compliance. Data and MIS.
Nothing you build is throwaway. Every module earns its place on its own, then becomes part of something larger. The goal is to reach the Lecxe Compass stage, where you have truly become AI-native. This takes some time and a lot of technical skill.
AI isn't using an LLM such as GPT or Claude. Its true benefits are unlocked when systems are connected, with your company's context and a clean layer of data from every department. Imagine a GPT built from scratch, exclusively for your organisation.
- 01
Finance & Accounts
From invoice to insight.
- 02
Sales & CRM
Build a sales engine that doesn't forget.
- 03
Marketing
Give your marketing team more leverage.
- 04
HR & People
A people function that doesn't run on spreadsheets.
- 05
Inventory & Supply Chain
Know what you have, what you need, and when.
- 06
Project & Task Management
Stop managing work. Start managing outcomes.
- 07
Operations & Compliance
Trade operational firefighting for operational control.
- 08
Data & MIS
Stop waiting for the numbers to make a decision.
- 09
Production
Automate the work behind your output.
The physical layer
Shop floor and manufacturing industries only
Software tells you what happened. Hardware is where it happened.
Most AI firms stop at the office. We don't, because in a manufacturing business the expensive problems are on the floor: a press that stops for ninety seconds forty times a shift, a tool that drifts out of tolerance hours before anyone notices, a job only one person knows how to set up.
Our engineers work in mechanical design, robotics and instrumentation, not just code. We retrofit the machines you already own rather than asking you to replace them. We put cobots where the work is repetitive and hard on people. We instrument lines so what the plant actually did is a number rather than an opinion.
Then we connect it to Compass, so the shop floor and the ledger finally describe the same business. We find inefficiencies, solve physical workflows and make the workplace faster and safer at the same time. Same twelve-hour shift but 1.5x the output is what unlocks scale and growth.
Cobot cells
For work that is repetitive and physically hard on people.
Machine vision
For jobs where every unit is a different size.
Sensors
Capturing real machine state, not what the log says it was.
Efficiency tracking
Including the short stoppages nobody currently records.
Predictive maintenance
From cycle-time drift, before the machine stops.
Energy and utilisation
Per machine, per shift.