Embed
Expert Operators & Living Data
After Discovery maps your signal sources and architects your feeds, we embed inside your organization to build and operate them. Expert operators and AI practitioners who continuously derisk your product, engineering, and growth operations with living data.
Not advisors. Not boardroom theater. Technical designers constantly feeding insights, human and machine, into your operations.
Coverage Tiers
Coverage scales with intensity, not hours.
Signal
Sharp eyes across many assets.
For firms that need a ruthless outside signal layer across the portfolio. Living data feeds, agent-native monitoring, and periodic human input across 5 to 12 companies, targets, or programs.
Typical scope: 5 to 12 covered assets. Light touch.
Operator
Active involvement with select companies.
For firms that need Adjective in the trenches. Active technical and market engagement with 3 to 5 companies or programs. Data system architecture, weekly working sessions, pressure-testing, and 1 to 2 active missions per month.
Typical scope: 3 to 5 active assets. Hands-on engagement.
Force
Hands-on intervention when the investment matters.
For investments that need hands-on intervention. Stalled products, drifted programs, pre-exit cleanup, or high-stakes capture. Building custom data systems and operating with full depth across 1 to 3 companies.
Typical scope: 1 to 3 active assets. Maximum depth.
Active Missions
Focused workstreams that turn data into action.
Each mission is a scoped sprint with a clear deliverable. Activate one inside an Embed engagement or run it standalone. The question drives the work.
Signal Architecture
What data sources exist and which ones should be feeding your agents?
→Signal source inventory + feed architecture blueprint
Data System Build
How do we turn scattered data into a living feed your team actually uses?
→Production living data system with MCP/API delivery
Technical Diligence
Is this asset, architecture, AI claim, or data moat actually real?
→Evidence-backed assessment with structured findings
Proposal & Capture
What BAA, CSO, SBIR, or strategic opportunity should you pursue, and what data wins it?
→Differentiated technical narrative + data advantage map
Agent Integration
How do we connect your agents to the right data, in the right format, with the right trust layer?
→Agent-native data pipeline with governed access
Competitive Intelligence
Who is building what, how fast, and where are you exposed?
→Living competitive feed + threat/opportunity map
Human Capture
What do your operators, experts, and field workers know that your systems don't?
→Structured capture sessions + machine-readable knowledge base
Product & Positioning
Why isn't this converting, and what story + data makes it click?
→Repositioned narrative + data-backed proof points
Trust & Attestation
How do we prove what our systems saw, decided, and did, for regulators, partners, or leadership?
→Attested lineage layer with tamper-evident records
At a Glance
| Tier | Assets | Intensity | You Get |
|---|---|---|---|
| Signal | 5 to 12 | Light | Living data feeds, agent-native monitoring, snapshots, office hours, competitive notes |
| Operator | 3 to 5 | Active | Data system architecture, weekly sessions, research, GTM support, diligence, 1-2 missions |
| Force | 1 to 3 | Maximum | Custom data systems, build support, teardowns, recovery, capture packages, exit prep |
What are you trying to make work?
A portfolio of technical companies
Embed: Signal or Operator
A deal or acquisition target
Technical Diligence Mission
A startup investment
Operator or Force Coverage
A technical product that is not converting
Product Conversion Mission
A defense, medical, or industrial opportunity
Capture Mission
A knowledge problem across your firm
Living Data System
Ongoing technical awareness
Living Data Feed
A decision that needs an evidence trail
Attested Lineage
Your IP. Always.
All work product is work-for-hire. All intellectual property, source code, data, and deliverables are the sole property of the partner from day one. No retained licenses. No usage fees. You own it outright.
Proprietary Controls
NDAs before any information exchange. Partner data never crosses engagement boundaries. Internal knowledge compartmentalized. Strict access controls. Full audit trail. Clean-room practices for competitive contexts.