You don't know what AI accessed
Analysts paste deal memos into AI tools. Partners share LP terms in prompts. You have no idea what data AI has seen — or who sent it.
Every prompt, tool call, and data pull goes through one governed plane. Your analysts move faster. Your partners decide better. Your LPs get auditable proof.
Your team is already using AI tools with zero oversight. The productivity gain is real. The accountability isn't.
Analysts paste deal memos into AI tools. Partners share LP terms in prompts. You have no idea what data AI has seen — or who sent it.
When a decision is made, a memo is written, or data is pulled — was it a human or AI? Today, you have no way to know. That's a compliance gap.
When your LPs ask “how is AI being used with our fund data?” — and they will — you need an answer that isn't “we don't know.”
Real workflows your deal team runs every week — with full accountability at every step.
An associate asks AI to screen a company. Boomtown governs the query, pulls data from your existing systems, and returns a structured assessment. Every step attributed — you know exactly what AI did and what data it accessed.
AI assembles the IC memo from your firm's existing data — meeting notes, CRM history, market analysis. Every source is attributed. You can see exactly which parts AI wrote and which a human reviewed.
AI pulls KPIs, flags metrics off-track, and generates summaries per company. Access is segmented — an associate on one deal never sees another company's numbers. Every data pull governed and attributed.
| Company | ARR | Growth | Status |
|---|---|---|---|
| Aurora Robotics | $4.2M | +38% | ● On track |
| Pylon Health | $11.8M | +22% | ● On track |
| Cinder Labs | $2.1M | +9% | ● Watch |
| Ledgerline | $8.4M | +31% | ● On track |
AI drafts performance narratives from live portfolio data. Partners review and approve. The LP gets a polished report with clear attribution — they know what AI drafted and what a human confirmed.
Boomtown is a proprietary agent architecture purpose-built for VC. Skills, agents, and workspaces compile into governed intelligence that knows your firm.
Markdown instructions, reusable templates, and reference docs that define how AI performs tasks
ConfigurableRole-specific AI analysts combining skills + prompts + knowledge into a compiled system prompt
Thesis-AwareSecurity boundaries that assign agents to users and control which data sources they can access
IsolatedGoverned bridges to Attio, Affinity, Harmonic, meeting notes, and documents via API
CRM-NativeCRM, deal pipeline, portfolio metrics, LP records. Data never leaves your systems.
Zero RetentionThe controls your IT team asks for, and the documentation your LPs request.
Your data stays in your systems. We don't store it. Queries pass through without retention. Your deal pipeline, LP data, and proprietary analysis stay yours, always.
Users only access data granted to their role. No shortcuts. No ambient authority.
Every interaction logged with tamper-proof integrity. Exportable for compliance reviews.
Each firm operates in a fully isolated environment. Cross-tenant access is architecturally impossible.
Every action tagged as AI-generated or human-initiated. No ambiguity about who did what.
When your LPs ask how AI is governed, hand them a report — not an explanation.
Boomtown is developed in close collaboration with design partners managing real capital, real deal flow, and real LP obligations.
We needed AI that understood our thesis and connected to our CRM — not another generic tool we'd have to babysit. Boomtown is purpose-built for how our team actually works.
Design Partner — VC firm, $250M+ AUM, active deployment
Answers to what we hear most in first conversations with VC firms.
Direct AI access gives your team a general-purpose tool with no context about your firm, no connection to your data systems, and no governance. Boomtown provides thesis-aware agents that understand your investment strategy, connect natively to your CRM, and log every action with AI/human attribution. It's the difference between a search engine and a governed analyst who already knows your portfolio.
No. Boomtown operates on a zero-retention model. We connect to your data sources (CRM, document stores, enrichment APIs) via governed MCP connectors and read/write through API calls. Your data stays in your systems at all times. We store audit logs and agent configurations — never your underlying deal data, LP records, or portfolio metrics.
Most firms are live in under a week. We start by connecting your CRM (Attio, Affinity, or Salesforce), configuring your firm's investment thesis and org-level context, and setting up initial workspaces. Your team can start using governed AI workflows from day one.
Boomtown connects via MCP (Model Context Protocol) connectors to: CRM platforms (Attio, Affinity), data enrichment (Harmonic), meeting note tools (Granola), document systems (Notion, Google Drive), and more. Connectors are modular — we add new integrations based on what your firm's workflow requires.
Absolutely. Most design partners start with deal sourcing or due diligence and expand to portfolio monitoring and LP reporting as they see results. Each use case is a separate workspace with its own agent, skills, and access controls — you scale by adding workspaces, not by reconfiguring the platform.
Every action in the system is tagged at the point of execution: did an AI agent pull this data, or did a human initiate the request? Did AI draft this memo section, or did a partner write it? This attribution is embedded in the audit trail, visible in real-time dashboards, and can be included in LP-facing reports.
30 minutes. No slides. Just the product working with your data.