While each fund operates independently, the shared core evolves through real-world usage across leading firms.
As the foundation improves, everyone benefits, without sharing data, logic, or competitive advantage.
SERVICES
Redefining how funds operate/
The loop 3 framework provides a shared data and AI foundation, allowing funds to activate their own capabilities and build private tools on top, without starting from scratch.
The Data Layer
From fragmented signals to a single source of truth
Most funds operate with critical information spread across CRMs, emails, notes, and internal tools. This fragmentation slows decisions and hides valuable context. The Loop 3 Data Layer consolidates all fund data into a unified, structured foundation, creating a reliable single source of truth that systems and teams can trust.
How it works
Data from multiple sources is ingested, normalized, and continuously updated into a unified model designed for AI-native workflows.
What it unlocks:
- 1. Chat with all your data in one place
- 2. Continuous data enrichment and profile updates
- 3. Relationship mapping across your network
- 4. Historical snapshots of companies and portfolios
Modules Layer
Capabilities that turn data into action
Funds often rebuild the same operational capabilities, enrichment, reporting, search, and scoring, with slight variations that slow teams down and create inconsistency.
How it works
Modules sit on top of the shared core and activate AI-powered capabilities that can be combined or expanded without locking teams into rigid workflows.
What it unlocks:
- 1. AI-driven data enrichment and updates
- 2. Portfolio dashboards and reporting
- 3. Advanced search across deals and companies
- 4. Flexible scoring and prioritization models
Private Intelligence Layer
Your edge, encoded into the system
A fund’s real advantage often lives in people’s heads, leading to inconsistent decisions and limited scalability.
How it works
Your fund’s logic, heuristics, and decision criteria are encoded directly into the system, fully isolated and owned within your environment.
What it unlocks:
- 1. Fund-specific prioritization and scoring
- 2. AI agents trained on your internal context
- 3. Consistent decision-making across teams
- 4. Systems that reflect how you actually think
Tools Layer
Where intelligence becomes execution
Generic software and integrations rarely match how funds actually work, forcing teams to adapt their processes instead of improving them.
How it works
We design and build private tools and integrations on top of the framework, internal platforms, custom automations, and purpose-built extensions that connect directly to your data and intelligence layers.
What it unlocks:
- 1. Private integrations across your existing stack
- 2. Internal tooling tailored to your workflows
- 3. Custom Chrome extensions for CRMs and research
- 4. Execution that feels native to how your team operates
primitives
One system, layered by design/
At the base, all funds start from the same shared core, a unified foundation for data and AI. On top of it, each firm activates modules, builds private intelligence, and develops tools that reflect how they actually operate.
Every fund starts from the same core, but no two setups look the same.
The system adapts to strategy, workflows, and scale, not the other way around.
What You Own
Standard where it matters. Custom where it counts/
Runs in your environment
Our system is deployed within your infrastructure, aligned with your security and compliance standards.
You own the data
All data stays private and fully owned by your fund. Nothing beyond the shared core is exposed.
You own the workflows and tools
Custom logic, configurations, and tools are built for you, and belong entirely to you.
You keep what’s built
If you step away, updates stop. What’s already built remains yours to operate.
Beyond a single fund
Good to know
Things funds usually ask before getting started/
Yes. In most cases, we build around your existing tools and workflows first, then create the data foundation needed to unify and extend them.
No. Most firms do not begin with perfect data. A big part of the work is helping create structure from what already exists, then improving quality and usefulness over time.
No. In most cases, the best starting point is a specific operational pain point: fragmented deal data, inconsistent tagging, too much manual updating, weak signal visibility, or workflows that depend too heavily on people pushing information between systems. From there, we identify where AI, automation, and integrations can create immediate leverage.
Let’s talk about your fund