As AI agents proliferate across your organization, they all need brand context. SBAI is the layer that gives it to them — three connected modules, one Brand Core.
The diagnostic layer. SBAI reads what you've already shipped — guidelines, decks, assets, signals — and turns it into structured intelligence that every other tool reads from.
Audit everything you've ever shipped against your Core. SBAI surfaces drift, off-brand work, and compliance risk — with specific fixes, not vague flags.
Extract your brand DNA from PDFs, decks, and tribal knowledge. Values, audiences, voice, and visual rules become a machine-readable map — not a frozen guideline.
The living source of truth. Every model, prompt, and assistant in SBAI reads from your Core before producing a single output. Update it once and the whole platform follows.
The production layer. Copy, images, and custom assistants — all read your Brand Core before a single token is generated. On-brand becomes the default, not the QA step.
Long-form, social, campaign and editorial copy in your brand voice. SBAI rewrites every prompt through your Core, and scores tone, clarity, and audience fit on return.
Multi-model image generation — Flux, Midjourney, Sora, your own — routed through your visual rules. Palette, composition, and avoid-lists are enforced before the render.
Create your own brand-compliant assistants for FAQ, HR, sales, or marketing — each with its own scope, all built on the same Brand Core. Permission-controlled for each team and logged by default.
The control layer. Score, approve, archive. The handshake between creative speed and brand safety — built for the brands that can't afford to ship off-brand work.
Real-time scoring against your Brand Core, per asset. Drop in any image, copy, or campaign and get a score with specific fixes — not just a pass/fail.
Routing, sign-offs, and audit log. Build approval flows that mirror how your brand actually works. Designed for regulated industries and global teams.
One library for everything that's been scored and shipped. Search by campaign, audience, or score. Reuse what works, retire what doesn't, with full provenance.
Co-design SBAI alongside us. Pilot partners get dedicated onboarding, weekly working sessions with the product team, and preferential pricing once we go general available.
Spherical Brand AI is built by think moto, a Berlin strategy and design studio with deep expertise in brand strategy, digital product design, UX and conversational AI.
Visit thinkmoto.deResearch-backed. Developed as part of the KI-BIS feasibility study, funded by ZIM/BMWi (Ref: 16DS252401). Rooted in academic research.
Spherical Brand AI is a Brand AI Suite and Brand Operating System for the age of AI. It makes brand knowledge machine-readable and connects Brand Intelligence, on-brand content production, and AI Brand Governance in one shared knowledge base. This helps organizations ensure that AI-generated content, assistants, and brand-related decisions stay consistent with the brand — across teams, tools, and channels.
A Brand AI Suite is AI-powered software for modern brand management. It helps companies structure brand knowledge, guide AI systems, create on-brand content, and review outputs before they are used. Spherical Brand AI combines three key areas: Intelligence, Production, and Governance. This makes it more than a single AI tool — it is an integrated architecture for using AI in brand management.
A Brand Operating System connects brand strategy, guidelines, tone of voice, design principles, content, approvals, and governance in one shared structure. Spherical Brand AI treats a brand not as a static styleguide, but as an active operating system. It helps people, teams, and AI applications work from the same brand foundation.
Generic AI tools do not reliably know your brand. They can generate texts, images, or ideas, but they usually work without persistent, structured brand knowledge. Spherical Brand AI is based on a defined Brand Core and a shared Brand Knowledge Base. This means AI outputs are not just generated — they are guided, reviewed, and documented according to your brand.
Spherical Brand AI uses the Brand Core as its central guidance layer. Every AI application works from the same brand rules, tone of voice, messaging, and governance principles. This helps teams create on-brand AI content that reflects the strategy, personality, and language of the brand. At the same time, outputs can be reviewed through design checks, compliance review, and approval workflows.
No. Spherical Brand AI does not replace brand, design, or content teams. It supports teams in working faster, more consistently, and with more control when using AI. The approach is Human first. AI-backed. People define strategy, attitude, creativity, and decisions. AI supports analysis, production, review, and scaling.
Getting started is easy and fast. We begin with a demo and a short conversation about your brand, team structure, existing materials, and relevant AI use cases. Depending on your situation, companies can start with a Brand Core setup, a pilot project, or a phased introduction of the suite. The goal is always to create a reliable brand foundation before scaling AI applications.
Yes. Spherical Brand AI is developed with data protection, data sovereignty, and European compliance requirements in mind. Brand knowledge is not scattered across generic AI workflows, but structured in a controlled way within a shared Brand Knowledge Base. Roles, permissions, data sources, and approval processes are defined during onboarding. This ensures transparency around which knowledge is used, what it is used for, and how AI applications access the brand.