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ADIN is a venture capital protocol that combines an AI agent network with decentralized governance. It uses multiple specialized AI agents to conduct rapid due diligence on submitted projects, analyzing market, product, financials, competition, and team, then generating valuation and return forecasts. Workflow: network members submit project materials, AI agents independently analyze and vote, investors (LPs) review and freely decide whether to fund, while Tribute Labs acts as limited GP with veto power. Projects also receive multi-dimensional analysis feedback. Thus, ADIN shifts venture investment from manual negotiation to algorithmic transparent collaboration.
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About ADIN
ADIN is an AI-agent-based network for early-stage investment diligence and deal sourcing. Its core workflow takes submitted startup materials and runs them through multiple AI investor personas (e.g., technology, financial fundamentals, monopoly potential), producing business-model analysis, diligence questions, compliance risks, TAM estimates and valuation suggestions in about an hour. It also operates a scout network, where non-staff contributors can refer deals; the AI Scout tool surfaces ten obscure startups daily from public sources.
The market pain points: traditional VC relies on manual work and personal introductions, so deals are often already competitive by the time they appear; diligence takes weeks and tail risks get overlooked. ADIN compresses information gathering into hours and tracks changes in conclusions with structured evidence.
Recent six months: In June 2026, it launched “living diligence,” letting users annotate reports or add context, then re-run the agents to get updated scores and valuations while keeping every prior version. The same month it added “Additional Research” — independent reports on the startup’s category, with peer-reviewed work and filings cited inline. In July, the AI Scout tool went live, proactively finding companies from obscure public records; later that month ADIN released an MCP integration allowing users to query investment workflow data inside Claude, Cursor and other AI workspaces, with every action logged and requiring human confirmation.
ADIN's development centers on AI-native venture capital, with key milestones including:
Launch of the AI agent diligence network: Five specialized agents (Network Hunter, Tech Oracle, Monopoly Maker, Unit Master, Value Guy) collaboratively evaluate deals and vote, replacing traditional manual due diligence with automated analysis.
Introduction of the Superventure governance model: A three-layer structure (Agent Layer, Governance Layer, Limited GP veto) enabling pluralistic decision-making while maintaining human oversight.
Launch of ADIN Platform for fund evaluation: Extending the AI diligence framework to institutional fund assessment across six weighted dimensions, developed in partnership with an institutional LP.
Fee and incentive innovation: Reducing management fees to 1% and offering 10% carry to deal originators, aligning incentives for community participation.
Key progress in the past six months: In March 2026, ADIN expanded from startup diligence to fund evaluation with the launch of ADIN Platform for LPs, FoFs and OCIOs, scoring funds across six weighted dimensions (track record 25%, team 20%, strategy 15%, portfolio construction/risk/terms), with transparent adjustable weights, explicit bear cases and comparable outputs . In March, it also reported processing 809 startup evaluations in 30 days. In May, ADIN released its API, letting scouts, accelerators and community operators build branded deal-flow intake pages on its analysis and capital deployment infrastructure . In June, it launched "living diligence": reports can be re-run with feedback, every version is preserved, and conviction becomes auditable . Most recently, ADIN connected itself to Claude, Cursor and other MCP-supporting AI workspaces, with permission controls, audit logs and evidence-linked answers .
Official roadmap: deepen the fund-evaluation platform; build on the re-run foundation with talkable memos, shared workspaces and forked theses; expand the API into an open, composable network layer; and bring sourcing, diligence and portfolio monitoring into one unified AI investment-workflow loop.
ADIN (AI-driven venture fund, affiliated with Tribute Labs) core team:
Co-founder: Aaron Wright. Former Cardozo Law professor, founder of Tribute Labs, also created The LAO and Flamingo DAO; Twitter @awrigh01. He leads ADIN's AI-agent + human network architecture.
Partner: Max Siegman. Current Partner at ADIN, involved in investment decisions and operations; listed as a key executive on LinkedIn.
Associate: Daniel Keller. Joined June 2025, responsible for dealflow and investment council; previously Metropolis DAO Lead at Tribute Labs, with a background in art and cultural strategy.