Claw Empire installs a private AI assistant for angel investors on customer-controlled infrastructure. It brings structured diligence to overwhelming deal flow, replaces spreadsheet portfolio tracking with a governed workflow, and drafts investment memos with every claim traced to a source for your approval before you commit capital.
The useful install is narrow, explicit, and tied to work you already repeat. Claw Empire maps the lane, connects approved systems, and keeps sensitive actions gated.
Investors on their first few deals spend too much time talking about the project or product and not enough on the business or deal terms. There is no structured framework, so diligence is inconsistent and key risks get missed.
Angel investors track commitments, dollars received, and portfolio performance in a series of Google Sheets. There is no dedicated tool, and the spreadsheet is not a diligence process or a portfolio management system.
Deal flow was overwhelming, capital was everywhere, and timelines were compressed. Angels cannot review everything, so good deals get missed and bad deals get funded because there is no structured screen between inbound and commitment.
A private assistant should produce a reviewable queue, not mystery automation. Every output should make approval faster and safer.
The assistant applies a consistent diligence framework to every deal: business model, deal terms, market, team, and risk. What was ad-hoc becomes repeatable, and key risks that get missed in conversational diligence are flagged before you commit.
The assistant replaces your Google Sheets with a governed workflow that tracks commitments, dollars, performance, and follow-on decisions. Every position is logged with source evidence and updated only on your approval.
The assistant drafts investment memos with every claim traced to a specific source: deck, email, reference call, or market data. You approve before anything is finalized, and unresolved questions are called out explicitly.
This is the level of specificity we want before a workflow touches production tools.
WORKFLOW: angel_investor_diligence_and_portfolio
TRIGGER: new inbound deal OR portfolio review OR follow-on decision
READ: inbound decks, founder emails, market data, portfolio sheets, reference call notes
DO:
1. apply structured diligence framework: business, terms, market, team, risk
2. draft investment memo with every claim traced to a source
3. update portfolio tracking with commitments, dollars, and performance
4. flag deal-terms risks and missing diligence items for investor review
APPROVAL GATES:
- never send founder-facing messages without investor approval
- never update portfolio records or commitments without approval
- never share investment memos externally without review
STOP CONDITIONS:
- legal terms, valuation dispute, deal-terms risk, unclear owner
RECEIPT:
- write source evidence, proposed action, investor reviewer, unresolved questionsThe point is not to remove judgment. It is to reserve judgment for the decisions that matter.
The assistant drafts outreach and follow-ups but waits for investor approval before anything reaches a founder.
Commitment changes, dollar tracking, and performance notes are proposed with evidence before a human approves writes.
Draft memos stay internal and are never shared externally without approval. Unresolved questions and deal-terms risks are flagged for review.
The exact implementation depends on tool access and data quality. The operating model stays simple: map, install, dry run, hand off.
Define your diligence framework, deal sources, portfolio structure, risk rules, and stop conditions.
Connect approved email, deck sources, portfolio data, and market context to the private assistant on your infrastructure.
Review proposed diligence checklists and investment memos until the workflow matches your investing style.
Receive the operating runbook, approval receipts, and expansion notes for the next deal cycle.
Plain answers for the trust, security, and implementation questions buyers ask before connecting AI to real workflows.
A Claw Empire angel investor AI assistant is a private workflow on customer-controlled infrastructure that applies structured diligence to deal flow, replaces spreadsheet portfolio tracking, and drafts investment memos with source citations for your approval before you commit capital.
The assistant applies a consistent diligence framework to every deal: business model, deal terms, market, team, and risk. What was ad-hoc becomes repeatable, and key risks that get missed in conversational diligence are flagged before you commit.
Yes. The assistant tracks commitments, dollars received, performance, and follow-on decisions in a governed workflow with source evidence. It is not a spreadsheet; it is a portfolio management system that updates only on your approval.
The assistant runs on customer-controlled infrastructure, typically a VPS or Mac Mini. Decks, emails, portfolio data, and investment memos stay in the environment you control. Nothing trains public models and nothing leaves without approval.
Pricing is scoped on a discovery call because deal volume, portfolio size, diligence depth, and infrastructure vary. The public page does not publish a flat price because installs differ by investor activity level and workflow complexity.
Send the workflow you want off your desk. We will confirm the tools, approval gates, stop conditions, and safest week-one install path.