Retenna · The company intelligence layer · Private beta
Uses only the apps and connectors approved for Retenna in your ChatGPT or Claude workspace. Existing service permissions and connector limits still apply.
Fictional example customer: Northstar Software
Why RetennaKeep the company story connected
Retenna keeps the relevant evidence, decisions, promises, work and outcomes connected as they move across teams and AI.
Retenna in actionSignal → Impact → Response → Outcome
With capabilities confirmed during onboarding, Retenna connects approved evidence, explains what it affects, coordinates permitted work and follows the result.
Trust and rolloutStart small
Your workspace, host plan, connector and underlying service permissions determine available sources and actions. We confirm them before onboarding one governed workflow.
Pricing and access
Retenna is priced for one company deployment—not by connector, tool, workflow, seat or AI agent. Private-beta pricing, onboarding and founding terms are agreed before you commit.
Company
One annual company subscription for teams introducing Retenna across an agreed deployment.
Enterprise
For company deployments with additional requirements that need to be agreed contractually.
Retenna works through apps and connectors approved for it in your ChatGPT or Claude workspace. Before onboarding, we confirm available sources and actions; host plan, policy, service permissions and connector limits still apply.
FAQ
Clear answers about what Retenna does, how it works with your AI workspace, and what private-beta access involves.
Retenna keeps the important company story connected: goals, decisions, reasoning, promises, customers, projects, owners, work and results. It watches the internal and outside sources you approve, finds when reality is moving away from the plan, explains the business effect, helps the right work happen and follows whether the intended result appeared.
Those products can remember conversations, search connected systems and complete tasks. Retenna connects the company work around them. It preserves the relevant decisions and commitments, finds important gaps before someone asks, prevents repeated or conflicting work, follows the business result and carries corrections and outcomes into future work across models and teams.
Retenna is designed to work through the apps and connectors your ChatGPT or Claude workspace has approved for it. Existing service permissions still apply, and Retenna cannot silently access a tool or action that your workspace has not enabled. Availability, background use and write actions depend on the connector and your workspace plan, so we confirm those capabilities before onboarding a workflow.
You choose the level for each kind of work. Retenna can suggest, prepare the work for approval or handle approved low-risk work within limits you set. Anything outside the allowed information, action, value, confidence or risk level stops and asks. Sensitive customer, money, legal and security work can always require a person.
You choose Retenna's approved apps or connectors, roles and job permissions, while your AI workspace and each connected service continue to enforce their own permissions and policies. Sources and uncertainty remain visible and important Retenna activity stays reviewable. Data handling, retention and model-use terms must be confirmed for the selected host plan, connector and Retenna agreement before onboarding.
Retenna is offered as one annual company subscription, quoted for the company deployment based on company size and any agreed enterprise requirements—not by connector, tool, workflow, seat or AI agent. Company and Enterprise are the two paid offers. The separate design-partner programme is selection-based, with scope, feedback, beta access and the transition to paid access agreed in writing.
Private beta
Stop losing decisions, corrections and successful ways of working when a project ends, a person moves on or an AI agent finishes. Retenna carries that learning into what the company notices, decides and does next—helping approved AI agents work from better context and making it less likely they repeat mistakes the company has already corrected.
