9 specialist AI agents share your live data, deliberate every night, and hand you a coordinated action plan every morning — waiting for your approval.
Your business runs across Shopify, Meta, WhatsApp, your warehouse, your finance stack, and your logistics partner. Each platform knows its slice. None of them talk to each other. Every decision you make is missing context.
Veltrum builds a shared brain across all of it. 9 specialist agents — each owning a domain — read their data independently, then deliberate in a structured council. They argue. They resolve. They produce a joint action plan.
You wake up to a brief. One tap to approve. Nothing executes without you.
From your first integration to the morning brief — here's what happens every single night.
Shopify, Meta Ads, WhatsApp, Razorpay, Delhivery, Amazon — 10 live integrations, all feeding real-time data into a shared brand context. No manual exports.
Each agent reads its domain independently. Then they meet in a structured 3-round council — deliberate, challenge, decide. Conflicts are surfaced before they cost you.
You wake up to a council report. What happened, what was decided, what needs you. Every customer-facing action waits for your tap. You stay in control.
No human team produces this reasoning in 28 seconds for every abandoned cart. No single AI model can — it only has one slice of data.
Veltrum's agents each hold a different piece of context. In a structured deliberation, the output is better than any one of them could produce alone.
The blocking mechanic is key: if Jiraiya flags a dispute, Hinata's win-back is blocked until it resolves. Real business logic — without anyone coding it.
Six data streams. No shared context. Every decision missing something.
Your Meta agency just recommended a 25% discount. Your CFO would veto it. Your CRM is win-backing a customer who just filed a dispute. Veltrum catches this before it costs you.
Pre-built and deployed day one. Each agent has domain authority — and a veto — in every council session.
Campaign performance, attribution, abandoned cart recovery, channel signals.
Customer history, call context, win-back timing, LTV scoring.
Margin floors, discount gates, cash flow signals, P&L context.
Stock levels, dead inventory, reorder triggers, scarcity validation.
Weekly reviews, trend detection, performance benchmarking.
Creative fatigue, audience signals, budget pacing, ROAS context.
SKU performance, catalog gaps, pricing opportunities, creative briefs.
Ticket sentiment, dispute detection, escalation risk, NPS proxy.
Category and pricing trends from publicly available listings — never aggregated from other sellers' private account data.
We hand-pick every brand. 60-second form. A founder reviews every application and gets back to you within 48 hours.
No sales call required. Aditya reviews every application personally.