Deployed into your business.
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The AI frontier moves weekly. The consultancies
they trust are twelve months behind. The founders who know they need
AI don't know where to start.
Between what AI can do
and what’s running in your business
There's a chasm.
How it works
We do the unglamorous work first. Then the AI work becomes obvious, scoped, and shippable.
Modules
- 1
Eagle Eye
Situational awareness for the operator. Ask your business anything, from one thread.
- 2
Radar
External signals watched for you: markets, competitors, the calendar that drives revenue.
- 3
Workforce
Autonomous workers on collections, capacity, dispatch, and follow-ups.
- 4
Broadcast
Reports, updates, and content generated from live state, on schedule.
- 5
The Engine
The always-on orchestration layer the rest runs on.
Case studies
Real companies. Real systems. Not demos.
From catalog to cinema.
1,500 dormant songs became a content factory: 800 lyric videos in two months, 100+ music videos in six weeks.
How to make your software agent-native.
Agents operating real production software, safely, inside your existing harness. The discipline behind every Mothership deployment.
An autonomous newsroom.
Editorial agents catch beats, self-hosted presenters deliver them, one operator supervises. Broadcasting for people who will never watch the 8pm news.
High-stakes aquaculture ops, made manageable.
A hatchery's tribal knowledge, encoded: atomic capacity, payment-linked orders, and an agent layer on the same endpoints the operators use.
A Krishna you can talk to. With a soul.
A 3D Krishna with voice, memory, and guardrails that hold character under attack. 50,000 interactions, ~3 seconds each.
A knowledge system that organizes itself.
Capture is easy; second brains die at retrieval. Retrieval engineered per dataset, synthesis on a schedule, delivery so nobody starts cold.
Start with the expensive problem
No workshop theater. One diagnostic, one operational
wedge, one shipped system.
Can your business
run while you sleep?
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