Your company remembers how decisions were made.

Tarfase is a shared decision layer that connects evidence, decisions, actions, and outcomes across teams, systems, and AI agents.

It captures every decision—who made it, why, what the agent tried, and whether it worked. Stop re-explaining. Stop agent loops. Start compounding.

Team workflow memory.

Teams waste 40% of AI coding time on rejected changes. Tarfase captures those failures as verified guardrails — so the next developer or agent inherits the lesson, not the loop.

Your tools remember artifacts. Your team forgets why.

Figma has the design. GitHub has the delivery record. Support has the customer signal. Analytics has the outcome. The decision thread between them disappears.

Agents change. Decisions stay.

Tarfase gives each agent the relevant decision history, evidence, constraints, and outcomes before work begins.

Follow a product decision across the work.

Code is the output. Tarfase preserves the reasoning that produced it.

Works across the tools your teams already use.

Change the tools. Keep the understanding.

Tarfase gives every team member and agent a shared decision layer that survives systems, sessions, and company change.

Questions, answered plainly.

What is Tarfase?

Tarfase is a shared decision layer that connects evidence, decisions, actions, and outcomes across teams, systems, and AI agents.

Where does Tarfase start?

Tarfase begins with teams building AI-native products, where decisions already move across research, design, delivery, support, and data.