B2B SaaS

AI agents for B2B SaaS

Agents that do work for your customers inside your product — scoped to the account, the role, and the permission set, not bolted on as a sidebar chat box.

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Why this one is different

B2B agents act on customer data inside multi-tenant systems. The hard part was never the model — it's that every retrieval and every tool call has to carry an account boundary with it, and a leak across that boundary is a breach, not a bug.

What we build

Onboarding and configuration

New accounts stall in setup. An agent that reads what the customer already has and proposes the configuration beats handing them a forty-field form and a help article.

Support that acts

Not answering questions about your product — performing the change the ticket is asking for, inside the permission scope of the person who asked for it.

Analysis over tenant data

Turning "why did churn spike in March" into a real query against that customer's own data, with every number traceable back to the rows it came from.

What has to be right

Multi-tenancy is an architecture problem

Tenant isolation belongs in the permission and retrieval layer, not in the prompt. A model instructed to respect boundaries is a model that will eventually cross one.

Other segments

Developer tools Fintech Healthtech E-commerce & marketplaces