Autonomous agents for private equity, consulting, real estate, and creator-economy operators. Trained on your data. Live in one week.
Request auditInbound stacks up. Replies slip past the window. Every late follow-up is a customer choosing someone else.
The conventional fix is hiring. Three months and $200K from now you might have a coordinator who can keep up — assuming they don't leave by month nine. Hiring is too slow, too expensive, and too lossy for what is, at the end of the day, a coordination problem.
Five autonomous agents coordinate inbound, qualification, follow-up, onboarding, and monitoring. You watch them work — and intervene when you want to.
Agents run against your stack — your boundaries, your access controls, your retention rules. Training data doesn't leave your perimeter and no SaaS vendor sees your inbox. Compliance signs off because there's nothing to audit outside your walls.
Each action the agent stack takes is logged with the prompt, the model used, the inputs it weighed, and the rule that fired. When something looks wrong you can replay it down to the token.
Inference runs close enough that median P99 lands in milliseconds, not seconds. Your team gets a draft reply before the kettle boils — not the kind of response time a generic LLM endpoint can promise.
Your stack, your data, your decisions. We ship the architecture below — five named agents handing off through a single wire — adapted to your operations during the audit.
All inbound — email, forms, integrations — is parsed and routed into the queue with intent + urgency tags.
847 events/hr · P99 12msEach event scored against your rubric. Passes go forward, dead leads are archived with rationale.
812 events/hr · P99 38msDrafts a contextual reply within minutes — pulled from your tone, your prior threads, your knowledge base.
798 events/hr · P99 71msWhen a deal closes the agent runs the welcome packet, calendar, intro emails, and account provisioning in parallel.
791 events/hr · P99 154msContinuous watchdog. SLA breach, anomaly, or pipeline error pages your team and proposes a fix.
99.8% uptime · 0 alerts/24hLives on your premises · zero data egress · adaptable rubric
Year-one totals reflect the deployed scope. Two-year minimum engagement, billed quarterly in USD. Bespoke configurations on request.
Audit of inbound flow, decision points, and where volume saturates first. We come back with a deployment plan or the answer “no”.
We design the agent stack against your operations as observed — not the SaaS dashboard you wish you had. You sign the spec before we ship a thing.
Connected to your tools. Trained on your data. Live in one week, often sooner.
Your team uses it. We watch the metrics, tune the agents, replace anything that breaks. Renewal is the audit.
We audit before we quote. If we're not the right fit, we'll tell you within forty-eight hours. Otherwise — let's build it together.
