Tabula Rasa
Tabula Rasa provides a forward-deployed AI marketing workforce of twelve specialized agents operating under one human overseer and shared memory. The platform handles research, content creation, brand management, web development, and AI-search measurement, with every claim tagged to a source and every best practice codified as an auditable skill. Pricing is set against the marketing organization it replaces, not per seat.
- Marketing Technology
- AI Agents
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Traditional marketing organizations are constrained by the pace of hiring and headcount, making it difficult to keep up with accelerating industries and rapid product shipping. Market positions must move quickly, but conventional teams cannot scale their research, content, brand, web, and measurement efforts at the speed required.
Solution
Tabula Rasa provides a forward-deployed workforce of AI marketing agents led by one accountable human and operating from one shared memory. The platform integrates twelve specialized roles—including strategist, positioning lead, market analyst, writer, AI-search analyst, brand designer, web engineer, chief of staff, researcher, dependency watcher, content reviewer, and website reviewer—into a single engine. The human overseer makes every judgment call on positioning, category, and earned media while the AI agents execute research, content, brand, web, and AI-search measurement at machine speed. Each best practice is codified as a skill that compounds across deployments, and every claim is tagged to a source for auditability. Nothing ships unattended, and a quality gate catches unsourced claims before human review.
Target Audience
Primary customers are companies and marketing professionals who want to build the approach collaboratively during early access, particularly those with an owner who makes final marketing calls and needs a scalable AI workforce to execute tactical work.
Features
- Twelve specialized AI agent roles integrated over one engine and one shared memory, covering research, strategy, content, brand, web, and AI-search measurement
- Human-in-the-loop control where the customer keeps all judgment calls on positioning, category, and earned media, with nothing running unattended
- Compounded, auditable playbook where each best practice is codified as a skill and every claim is tagged to a source
- AI-search analyst measures visibility across SEO and generative AI search monthly, benchmarking against customer-defined targets
- Dependency watcher monitors external dependencies (from writing rules to npm packages) for drift and proposes updates for approval, with no automatic upgrades
- Content and website reviewers explain uncommitted changes in plain language before they commit, so non-developers can approve or push back