Deploy RadMah AI
through your practice.
RadMah AI is built for enterprise deployment via partners. If you are a systems integrator, cloud reseller, ICS / SCADA consultancy, or data-platform advisor — this page explains how the partnership works and how to start.
Who we work with
Four partnership tracks.
Pick the track that matches your practice. Each has its own commercial model, technical enablement path, and joint-delivery norms.
Systems integrators
Enterprise SIs who deliver data, analytics, cybersecurity, or regulated-industry transformation projects. RadMah AI is deployed as the synthetic-data engine inside your solution — sold to your client, delivered by your team, supported jointly.
Typical firms
Accenture, Deloitte, EY, KPMG, PwC, Capgemini, Cognizant, Tata Consultancy, Infosys, IBM Services — and specialist mid-market firms in each geography.
ICS / OT / SCADA cybersecurity consultancies
Firms running OT/SCADA security assessments, tabletop exercises, red-team engagements, or IDS/SOC rule-authoring programs. You use RadMah AI's Virtual SCADA + ICS Security engines to generate labelled cyber-range datasets on demand.
Typical firms
Regional OT-security specialists, critical-infrastructure defenders, MSSPs with an ICS/SOC practice, penetration-testing firms.
Cloud marketplace resellers
AWS Marketplace, Azure Marketplace, Google Cloud Marketplace listings via your agreement. Customer consumes through their cloud commit, you handle the commercial relationship, RadMah AI handles the product.
Typical firms
Cloud-native resellers, AWS Advanced Consulting Partners, Azure Expert MSPs, Google Cloud premier partners.
Data-platform advisors
Databricks, Snowflake, and data-platform consultancies whose clients need privacy-safe synthetic data to unlock cross-team analytics without moving PII. RadMah AI slots in as the synth engine on their existing data stack.
Typical firms
Databricks Champion partners, Snowflake Premier services partners, independent data-platform consultancies.
Commercials + enablement
What partners get.
- Referral + resell + co-sell tracks. Margins and discounts by deal size and track — disclosed under mutual NDA once a partner agreement is signed.
- Co-marketing allowed once a joint reference customer is live. No name-dropping without written permission.
- Technical enablement: engineer-to-engineer onboarding, private Slack channel, shared design reviews.
- Joint evidence chain: every client run produces the same 9-artefact BLAKE3-sealed bundle — your QA team can verify output offline before delivery.
- Managed SaaS + Enterprise Data-Never-Leaves (signed Docker / Helm) deployment options, so you can match whatever posture your client requires.
- One proprietary licence governs both tracks (see LICENSE in the repo). Partners do not get engine source; SDK is available under a separate licence.
How to become a partner
Four steps. One week to first call.
Reach out
Email partners@radmah.ai with the firm, the practice you lead, a short description of a live or imminent engagement where RadMah AI would fit, and the deployment posture you need (managed SaaS or on-prem / VPC).
NDA + discovery call
30-minute call: we walk you through the technical surface, confirm the deployment model, and agree the commercial track. If the fit is clear, a mutual NDA and partner-track MoU follow within the week.
Technical enablement
Your engineer(s) get access to the SDK, API reference, and a sandbox tenant. A RadMah AI engineer is assigned as your technical point of contact for the first live engagement.
Joint engagement
First client win runs as a joint engagement — your delivery team, our engineer on call. After one successful delivery, you're certified as a partner and can run solo on subsequent clients.
Ready to deliver synthetic data to your clients?
Email partners@radmah.ai with a short description of your practice and a candidate engagement. Expect a reply within two business days.