BUILT IN-HOUSE. run anywhere.
> Four products we own end to end — not client work-for-hire, not a reseller relationship. We build them, run them in production ourselves through client engagements, and hand you a system your own team keeps.
Marga LMS
Marga LMS starts small enough for a single tutor running a handful of courses, and it doesn't ask you to switch systems as you grow. Course structure, cohorts, and enrolment live in the same platform whether you're teaching ten students or ten thousand, so the tool that got you started is still the tool running the show once the institution scales up.
Assessment and grading, plus the administration and reporting layer institutions actually get audited on, are built into the same system rather than bolted on through integrations. That means one place to look for attendance, results, and compliance records — instead of reconciling data across the course tool, the grading spreadsheet, and the admin system nobody quite trusts.
- > Course & curriculum
- > Cohorts & enrolment
- > Assessment & grading
- > Admin & reporting
TradeSync ERP
TradeSync ERP is built to be adopted module by module. Most businesses don't need every part of an ERP on day one — they need the one process currently held together with spreadsheets and phone calls. You start with production planning, or storage and inventory, or whichever module is hurting most, and switch on the rest as the operation grows into it.
Procurement and vendor management sit on the same data as sales and fulfilment, so a change on the shop floor shows up in what you can promise a customer without someone manually updating three systems. It's built for manufacturers and traders who need the modules to talk to each other, not a suite of disconnected tools wearing one brand.
- > Manufacturing & production
- > Storage & inventory
- > Procurement & vendors
- > Sales & fulfilment
TEQ Fabric
Most organisations running AI agents today have them scattered across teams, each one built, deployed, and monitored differently — if it's monitored at all. TEQ Fabric starts by finding out what's actually running, then gives every agent a single place to be orchestrated, so work handed between agents follows a process someone can actually see.
Governance and policy are enforced at the platform level, not left to whichever team shipped the agent, and every action an agent takes is observable and auditable after the fact. That is what turns a pile of AI experiments into something a CIO or a regulated organisation can put their name behind.
- > Agent discovery
- > Orchestration
- > Governance & policy
- > Observability & audit
IntelliDB
IntelliDB takes in data from wherever it actually lives — documents, structured records, exports, log files — without requiring everything to be reformatted into one schema first. Once ingested, it resolves the same entity showing up under different names or formats across sources, so an investigator isn't left manually matching records by hand.
From there it maps the connections between entities and keeps the evidence trail behind every link, built for investigations, audits, and compliance reviews that have to hold up when someone questions how a conclusion was reached — not just a visualisation that looks convincing until it's challenged.
- > Any-source ingestion
- > Entity resolution
- > Connection mapping
- > Evidence trails