MEGA

Security and governance

Your data stays in your environment. Not our cloud.

Many vendors run AI on a multi-tenant vendor cloud, which is what raises the security objection in the first place. MEGA runs in your own cloud, which answers that objection directly. Built so your data-residency review does not add weeks.

  • Your cloud, your data

    MEGA deploys into your own cloud environment, and your data stays inside it. There is no multi-tenant vendor cloud holding your sell-through and margin.

  • Region pinned

    Data stays in the region you require. For a multi-country retailer, residency is a configuration, not a negotiation.

  • No training on your data

    Your data is not copied out to train shared models. The learning loop runs inside your environment, on your data, for you.

  • Explainable and auditable

    Actions the engine takes are logged with the signal behind them, and each is approvable, overridable, and exportable for audit.

The Trust Center

We hand you the security pack, pre-filled.

A Trust Center with a pre-filled security questionnaire, your-cloud architecture diagram, data-flow map, and access model. Most mid-market and enterprise contracts require a formal security review, so that review does not have to start from a blank page.

Certifications, stated honestly

We will tell you exactly where we are, not flash a badge we have not earned. SOC 2 Type II and ISO 27001 are on the roadmap, with realistic timelines we share under NDA. The deployment model, your-cloud, region-pinned, no data copied out to train models, is true today and is the substance behind the certificates.

Accountability for actions

An engine that executes has to answer for it.

Who stays in control
You do. The autonomy dial starts at suggest. Nothing executes past your guardrail without a person.
What if a call is wrong
Every action is reversible and traced. You can override or roll back, and the log shows what the engine read and why.
How guardrails are set
You configure the bounds per workflow, for example allocation moves within plus or minus a set percent. The engine cannot act outside them.

Phase 1, not a platform bet

Hand it to your CISO. The review starts with most of the paperwork already filled in.

Pick the workflow that hurts most, usually Allocate or OTB. We run MEGA alongside your current process, on your data, in your cloud, on pre-negotiated terms. Day 30 you are configured. Day 90 you see modeled lift on the one KPI you chose, measured against your own baseline.

Book a pilot → See the projection model →

Day 30 configured · Day 90 modeled lift on your chosen KPI · measured on your own data