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We make hidden signals visible – at the right stage.
Most investors de-risk the wrong things at the wrong time. foundd.ai shows which operational signals really matter at Pre-Seed, Seed and Series A+ – so you don’t apply a Series A checklist to a Pre-Seed bet – and turns this into continuous due diligence and a portfolio-wide view of where companies are truly de-risked for their stage, business and growing organisational complexity.
What to de-risk at each stage
The main risk focus shifts as companies grow – from technology to market, GTM, scale and culture.
Pre-Seed
Technical Risk
Seed
Market Risk
Series A
GTM Risk
Series B
Expansion Risk
Later
Culture & Org Risk
Why stage-specific de-risking matters
The bet you make at Pre-Seed is very different from the bet you make at Series A – but most investors run the same DD checklist across all stages. That means they over-analyse things that don't matter yet and miss the signals that do.
Stage-appropriate de-risking starts with a simple question: "Given this round, what exactly am I betting on – and what has to be true?"
Pre-Seed
Mostly de-risk technology, founder–market fit and basic execution patterns – not a full org chart.
Seed
De-risk repeatable delivery and the minimum viable organisation around the product.
Series A+
De-risk scalability, focus and momentum – whether the company can grow without breaking.
What to de-risk at each stage
We map every startup across four dimensions – Organisation, Technology, Execution and Market – and adjust the importance by stage.
foundd.ai turns this into a simple de-risking map that defines which operational signals matter when – and turns it into a repeatable DD process.
Stage
Organisation
Technology
Execution
Market
Pre-Seed
Seed
Series A
Series B
Series C+
Exit
This de-risking map is the backbone of foundd.ai – we don’t run it once before a round, we re-run it in recurring cycles, turning due diligence into a continuous signal layer for the whole portfolio.
From de-risking map to product
foundd.ai turns this de-risking map into a continuous DD platform. The first version focuses on three core building blocks:
Signal intake
Structured questionnaires and templates that capture how a startup is configured today – mapped directly to the de-risking map.
Scoring engine
A lightweight engine that turns answers and observations into an Operational Signal Index (OSI₀, OSI₁, OSI₂, …) per company and stage.
Portfolio layer
Simple portfolio views and exports showing which companies are de-risked for their stage – and where configuration gaps remain.
You don't see polished product screens yet. You see the logic the product is built on – and you can help shape how it becomes software.
What is foundd.ai?
foundd.ai is a continuous due diligence platform that standardises how you look at startup operations.
It captures information about organisation, technology, execution and market momentum, and maps it into a single model – the Operational Signal Framework.
Each company receives an Operational Signal Index (OSI) for every assessment cycle (OSI₀, OSI₁, OSI₂, …), so the product can show how its setup changes over time instead of just once at DD.
Organisation
Tech
Execution
Market
→
Operational Signal Framework
→
OSI₀ / OSI₁ / OSI₂
How foundd.ai works
1
Capture signals
Collect configuration data from structured questionnaires, founder inputs and external sources on roles, architecture, processes and traction.
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2
Normalise into a shared model
Map all inputs into the Operational Signal Framework, so every company is described with the same set of dimensions and signals.
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3
Compute OSI cycles
Calculate an Operational Signal Index and underlying signal scores for each cycle, so the system can compare companies and show deltas over time.
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4
Expose views & exports
Expose portfolio lists, company profiles and cycle histories through a simple UI and exports you can plug into your existing tools.