Research Agent
Market & industry research
AI Mission Control
We build the dashboards that run the business: a mission graph, a top-down building of agent employees, an ops console. Leads, ecommerce, support — agents trained on how you already work.
Our work ships under strict NDAs. We show what we know, not who we built it for.
Mission ID: ZB-2026-09-10-014
Research Agent
Market & industry research
Analysis Agent
Data & pipeline math
Sales Agent
CRM & pipeline
Leads Agent
Find, score, enrich
Support Agent
Inbox & chat
Commerce Agent
Cart & catalog
How do we fill wholesale
and recover the carts
this week?
Live activity
Powered by Research seat · 2 min ago
Research Agent
Scanning 40 Ontario wholesale accounts
Powered by Analysis seat · 3 min ago
Analysis Agent
Comparing conversion by region
Powered by Support seat · 3 min ago
Support Agent
Reading 2,418 recent conversations
Powered by Commerce seat · 4 min ago
Commerce Agent
Queuing 22 cart-recovery notes
Key insights View all 24
Qualified leads
New wholesale accounts this week, concentrated in Ontario.
+28
Cart recovery
Abandoned checkouts returning after agent follow-up.
+12%
Mission console
Built around your business
Your people, processes, and tools shape the system. We design agents around real responsibilities, with clear goals, connected workflows, and human oversight.
You give an objective. The system plans the work, assigns agents, and reports back. A prompt is a sentence. A mission is an outcome.
Sales, support, ops, research, merchandising — modeled on the seats you already have, not a pile of disconnected bots.
CRM, inbox, store, docs, tickets. Permissions carried through. The model sees what that teammate would see — nothing more.
Leads created, carts recovered, tickets resolved, hours given back. If it does not move a number you care about, it does not ship.
Your work, in view
Explore the mission graph, agent workspace, and operations console. These interactive examples show how your team can follow progress, coordinate agents, and manage the work.
Surface 01
Assign the week’s objectives. Each mission is a graph: a question in the middle, specialized agents around it. Switch missions — the roster, the progress, and the insights follow.
Surface 02
A top-down office where every agent is an employee: at a desk, walking to the next room, or waiting at the human review gate. Operators see the swarm without opening a terminal.
Surface 03
Sessions, gateway health, costs, spawn, logs, task board. The surface for keeping a live agent runtime honest.
01 · Missions
Dashboard is the live overview of one mission. This is the roster: silent accounts, a fall drop, cited support, demo routing — each with its own agents and its own graph.
Five live objectives. Each mission owns a different graph.
Mission ID: MSN-8841
Health Agent
Usage & login decay
Finance Agent
Renewal & margin
CSM Agent
Owner & next step
Outreach Agent
Call list & notes
Writer Agent
The actual first note
Guard Agent
Do-not-contact rules
Which annual accounts
went quiet — and who
do we call first?
02 · Agent building
Look down into the office. Research on the top floor, outreach and support in the middle, finance and the human review gate below. On a phone, drag to pan and pinch to zoom so the rooms stay readable. Tap an agent to talk to it.
03 · Ops console
System health Online
Sessions
Recent logs
scout → wrote 14 accounts to CRM
cart → 22 recovery mails queued
support → handed 2 threads to a human
What we build
Starting prices in CAD for a scoped production slice of that layer — trained on your work, not a demo dataset.
See the whole operation
How do we fill wholesale and recover the carts this week?
A command center for your team. Assign a mission — fill the pipeline, lift conversion, clear the inbox — and watch specialized agents run it against your actual work.
Connect the work
Which annual accounts went quiet — and who do we call first?
Agents designed around how your team already operates. Sales, ops, support, research — wired into your CRM, inbox, and tools, with human gates where the stakes demand them.
Support your storefront
Cart recovery
+12%
On-hand
94 SKUs
Catalog, merchandising, cart recovery, order ops, and storefront support. AI that knows your SKUs, your margins, and what actually converts.
Give every answer context
Inbox, chat, and voice agents that resolve routine work and hand the rest to a human with full context. Grounded in your policies, not a generic script.
Keep the pipeline moving
Find, score, and follow up. Inbound routing, outbound research, and a pipeline that does not go cold because someone forgot to send the next email.
Start with what you know
Your docs, tickets, SKUs, and wikis made answerable. Retrieval with citations and permissions, so the model speaks from your business instead of guessing.
Each starting price covers a scoped layer. We agree on the workflows, integrations, and delivery plan with you.
Lead generation
Find the accounts, score them against how you actually sell, write the first note like a human who did the homework, and put the next step on a calendar. Inbound does not sit in a form overnight. Outbound is not a spray of identical emails.
Ecommerce
Your catalog, your inventory, your margins. Agents that answer from the product, recover the cart, flag the exception, and do not invent a SKU you do not stock.
Cart recovery
+12%
On-hand
94 SKUs
Which annual accounts went quiet — and who do we call first?
How we work
The CRM, the inbox, the store, the handoffs. We write the missions before we pick a model.
One agent per job. Tools, data, and approval gates. Your rules, not a vendor default.
The console, the live activity, the handoff to humans. Your team can see and steer from day one.
Evals, cost, and the numbers the mission was hired to move. Then we expand the roster.
Toolchain
Hooks into the tools your team already lives in.
Planning your AI platform
Understand the scope, integrations, and human oversight before you begin. Find answers about building AI around your team, your data, and your everyday operations.
Tell us about your team and the work you want to improve.
Talk through your requirements7 questions, answered
No. Chat is one surface. Mission Control is orchestration: specialized agents that run your actual work — research, outreach, catalog, support, ops — with a console so a human can steer. A chatbot answers. This system finishes jobs.
We start with how your team already operates. The CRM you use, the inbox you live in, the SKUs you sell, the leads you want. Agents are designed around those workflows, grounded in your data, and gated by your rules. We do not drop a generic copilot on top and call it done.
A command center. You assign a mission — fill the wholesale pipeline, recover abandoned carts, clear the support queue — and the right agents run it. You see live activity, insights, and a console to ask or redirect. Humans stay in the loop where it matters.
Yes. Find, score, enrich, and follow up. Inbound routing so a hot lead does not sit. Outbound research so outreach is specific. The pipeline is a system, not a spreadsheet someone updates on Fridays.
Yes. Catalog answers, merchandising, cart recovery, order exceptions, and storefront support — wired to your products, inventory, and margins. It is not a generic shopping bot. It is intelligence on top of the store you already run.
Starting prices in CAD for a scoped production slice. Knowledge layer from $2,000. Lead generation from $3,000. Support agents from $4,500. Ecommerce intelligence from $6,000. Work orchestration from $8,000. Mission Control from $12,000. A full command center that needs several of these is quoted as one engagement.
Compare the product optionsYes. The pixel-office idea — a top-down building where agents are employees walking rooms, sitting at desks, showing working vs idle vs waiting on a human — is a surface we ship. Your roster, your rooms, live status, without asking operators to live in a terminal. We also ship the mission graph and the ops console. Pick the surface that helps the team see the work.
Ready for Mission Control?
Tell us the work, the tools, and the number you want to move. We will propose the agents and the engagement around that.