Enterprise marketing at the speed of a structured brand.
Your brand is not a prompt. It's products, audiences, competitors, messaging, and the relationships between all of them. T-Matic AI builds that structure and governs it — across teams, regions, and brands.
Every other enterprise AI tool asks your team to write better prompts. We replace the prompt with your business.
Prompt-based tools make every user responsible for re-explaining the brand every time they open the app. At enterprise scale, that breaks. Fifty marketers writing fifty versions of the same brand story is the problem enterprise marketing has been trying to solve for thirty years. T-Matic AI replaces it with a single structured source of brand truth.
The knowledge graph encodes what your brand actually is — products, audiences, competitive positioning, tone of voice, proof points, regional variations, regulatory constraints. Every piece of content any team member produces is grounded in the same structure. The graph becomes your brand's operating system.
Consistency stops being a policy your team has to remember. It becomes a property of the system.
Governance your legal team will actually approve of.
Enterprise marketing teams don't need a faster way to write posts. They need a way to produce at volume without producing liability. T-Matic AI's knowledge graph is also the governance layer.
Approved language, enforced by structure.
Your regulatory-approved claims, forbidden terms, mandatory disclaimers, and competitor-safe phrasing are encoded in the graph. Content generated from the graph inherits them. No more legal reviewing every tweet.
Role-based access and workflows.
Strategists build the graph. Marketers generate from it. Legal and brand teams approve before publish. Every role has the right amount of power — no more, no less.
Audit trail by design.
Every piece of content carries a provenance record: which sources informed it, which version of the graph it was generated from, who approved it. Reproducible, defensible, exportable.
Brand drift, eliminated.
The problem with twenty agencies, forty contractors, and three hundred pieces of content a month isn't volume. It's drift. The graph is the anchor. Drift is measurable, and correctable at the source.
One platform. Every brand you operate. Every market you serve.
Enterprises rarely operate one brand. You operate a portfolio — parent brand, sub-brands, regional variants, acquired companies, product lines that need their own voice. T-Matic AI gives each one its own knowledge graph. Fully isolated. Fully governed.
Per-brand graphs.
Each brand, sub-brand, or product line gets its own structured ontology. Shared infrastructure. Separate intelligence. No cross-contamination between brand voices, even for brands that compete internally.
Regional and regulatory variation.
A product positioned one way in North America and another in the EU isn't a bug. It's a requirement. The graph encodes regional variants as first-class entities — different claims, different disclaimers, different audiences, same product.
Team-level views.
Your demand gen team, product marketing team, and regional field teams all work from the same graph, but see the slices that matter to them. The graph is shared. The surface area is scoped.
The larger the organization, the more the graph earns its keep.
Enterprise-ready infrastructure, not enterprise-ready marketing copy.
The fastest way to lose an enterprise evaluation is to hand-wave on security. We don't. Here is the actual state of our security, compliance, and control posture — updated as items ship.
Data isolation.
Your knowledge graph, your brand sources, and every piece of content generated from them are logically isolated in a dedicated tenant. No cross-customer access. No model fine-tuning on your data.
Encryption.
Data encrypted at rest and in transit. Key management via [CLAUDE CODE: CONFIRM KMS PROVIDER — e.g., AWS KMS, GCP KMS].
Compliance.
SOC 2 Type II — [CLAUDE CODE: CONFIRM STATUS — "in progress" or "completed" with date]. GDPR — compliant. HIPAA — [CLAUDE CODE: CONFIRM IF IN SCOPE]. Additional attestations on request.
Access control.
SSO via SAML 2.0. Role-based permissions. Audit logs exportable to your SIEM. Admin console for IT to own what it needs to own.
Full documentation available under NDA. Request the security packet.
Enterprise pricing is custom. Enterprise engagement isn't mysterious.
We publish flat subscription pricing for founders and teams. Enterprise deals look different — not because we want them to, but because the shape of what you need is different. Here's how the engagement works.
Scoping.
A 45-minute call. We map your brand portfolio, team structure, compliance requirements, and production volume. You get a written proposal within a week. No pressure to proceed.
Pilot.
A 60-day paid pilot on one brand or business unit. Full platform, full support, real production output. Success criteria defined upfront. If the pilot doesn't hit them, we part ways — and you keep the content and the graph.
Rollout.
Graph architecture for each additional brand. Training for each team. Custom workflows if your approval processes need them. Dedicated customer success contact throughout.
Ongoing.
Quarterly business reviews. Shared roadmap on the features that matter to you. A named team on your account — not a shared support queue.
Pricing is tied to brands, users, and production volume. No per-seat trap. No overage panic. Quoted per engagement, reviewed annually.
If you're evaluating us, we want to be evaluated properly.
Send us the brief. The RFP. The security questionnaire. The list of twelve AI vendors you're comparing. We'll show up prepared, answer directly, and tell you honestly where we're strong and where we're not the right fit. Most enterprise AI vendors won't do that. We will.