Find the work that keeps slowing you down.

Friday is a company intelligence and workflow-agent system. It connects the tools where work already happens, creates a current operating brief and searchable memory, finds recurring workflow bottlenecks, and turns approved constraints into permissioned agents. It can run on-premise with open-model inference.

Friday supports sources such as Slack, Linear, GitHub, Notion, Gmail, Google Drive, Jira, Asana, and more. Its connector layer uses Composio, so additional supported toolkits can be added without rebuilding the product around a new OAuth flow.

Yes. Friday offers a system-sovereign deployment for companies that need the application, source data, and model inference inside their own VPC, private cloud, or on-premise environment. The deployment boundary and operational responsibilities are defined during personalized onboarding.

Yes in a system-sovereign deployment. Friday can be configured around an approved open model running inside the same controlled environment, so prompts, company artifacts, and generated outputs stay within your infrastructure.

For a system-sovereign deployment, zero vendor retention means the Friday vendor does not receive or store your company artifacts. Your own Friday instance still processes and retains the data needed for briefs, search, and history according to the storage policy you control.

A dashboard makes you interpret separate charts; a weekly report is already aging when it arrives. Friday reads across systems, preserves the source context, and writes one narrative view of what changed, what is blocked, and what needs attention.

Yes. Workspace owners choose connected accounts and can define focused scopes using specific tools and keywords. That lets leaders build a company-wide view while teams keep narrower briefs for their own operating area.

Friday is designed to produce an anonymous operating narrative by default. The emphasis is on roles, projects, risks, and company-level signals—not ranking people or turning activity into surveillance.

Friday starts with evidence from the workflow: repeated delays, handoffs, missing context, and blocked work. Personalized onboarding selects one constraint, defines a narrow agent objective, limits its tools and allowed actions, and adds human approval for consequential steps.

It means the agent is improved through an evaluation-controlled release loop—not that it rewrites itself in production. Reviewed failures become replayable tests, candidate prompts, tools, routes, and models are measured, and only configurations that improve quality without breaking cost or latency limits are promoted.

Qualified, repetitive workflows often do not need the largest frontier model on every run. Friday uses frontier capability for design, difficult cases, and evaluation, then routes stable production tasks to smaller specialist open models with caching and constrained context. The target is measured against a frontier-only baseline per successful task; actual savings depend on the workflow, volume, model, and quality threshold.

We map your deployment boundary, source stack, model policy, and highest-cost workflow bottleneck. Then we design a focused first brief and one permissioned agent pilot around your real operating process.