The Cost of Not Knowing

Investors spend an average of 118 hours over 83 days on each deal — many of which never close.¹

Often, critical risks go undetected until deep into the process. And simply determining fit takes longer than it should.

¹ "How Venture Capitalists Make Decisions." Harvard Business Review, Mar.–Apr. 2021

Data Is a Means to an End.

Most systems are built to help you find data faster. But finding it is not the hardest part — understanding what the data means for your decision is.

Fundamentally Different Intelligence.

Our solutions do not depend on what you already know, or the questions you think of asking. We build the complete picture — including the dimensions you would not have known to look for.

Every report commits to a view, and shows you what it's built on.

From zero to fully informed. In hours, not months.

We spent decades making investment decisions. Our team has been directly responsible for more than $47B in AUM.

Now we have built the system we wished we'd had.

100+

years combined expertise

2+

years building specialised models

15+

dimensions per report

UBS KPMG Deutsche Bank Goldman Sachs

Our Reports

The strongest case for our research is a snippet from it.

Executive Summary
Company Overview
Product Market Fit
Revenue Model
Customer Landscape
Industry Landscape
Market Opportunity
Operations & Production
Strategic Partnerships
Commercial Viability & Unit Economics
Scalability & Execution
Capital Position
Competitive Landscape
Defensibility
Risks
Questions

*Table of contents and excerpts from a real report. Company name anonymised.

360° means more than looking everywhere. It means knowing where to look for that specific sector — and going deep enough to find what others miss. We've spent years defining what each industry demands, and built dedicated models around those requirements. The result is coverage shaped by the sector, not just the company.

Depth You Can Interrogate

Unlike most tools, we're not instant — because forming a defensible verdict takes time.

However, once our research on a company has been completed, you can interrogate it via chat and receive answers grounded in the same evidence that produced the original report.

We're real-time too…after the work is done.

Commercial Viability

The recent reduction in U.S. SAF tax credits under Section 45Z — from a maximum of $1.75 to $1.00 per gallon — narrows precisely the economic bridge that highest-cost pathways like PtL depend on, as our industry analysis established.

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Our Process

01

Aggregate

We sweep the full surface area — technical literature, filings, patents, regulatory signals, competitive activity, licensed data sources, and more.

02

Validate

Our system interrogates its own findings before you ever see them. Thousands of times. Before a single sentence is written.

03

Synthesise

We read between the lines — uncovering what data alone never could.

No speed delivers what depth discovers.

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One Company. Three Different Views.

What the Company Says

"Leaders in Synthetic Fuel Technology" — The Company

What the Media Says

"This milestone is more than a technological breakthrough. It's a bold reimagining of how we power national defence, tackle climate change, and bring energy security into the 21st century." — Forbes, 2025

What our Report Says

"The company has successfully raised its profile through high-visibility partnerships, media coverage and early defence funding. Yet, each pillar of its long-term mission—technical proof at commercial scale, regulatory certification for neat use, and cost competitiveness driven by cheap renewable power—still sits in the category of work-in-progress. Accordingly, the strategic vision should be understood as directionally compelling yet materially unproven." — Peripheral Insights, 2025

A Deeply Specialised Approach

Our unique architecture is built around how we assimilate, audit, and interpret information for sector-specific purposes.

We believe world-class models, like world-class analysts, must be specialists.

With decades of experience in venture capital and private equity, we've built and trained our systems to mirror the structured reasoning of industry-specific analyst teams. We are insiders — and so are our models.

Deep/Physical Tech
SaaS
General (coming soon)

Our Models

We are launching with two dedicated models, refined over the last two years: one for deep/physical tech and novel first-of-a-kind technologies, and another for SaaS.

Together they cover both ends of the diligence spectrum — from overwhelming complexity where no comparable exists, to markets where similar offerings obscure moat and critical nuance.

About Us

Our founders come from careers in venture capital, private equity, and M&A. Their experience spans from co-leading a New York–based fund focused on scaling novel materials to specialising in high-growth software.

The broader group of colleagues and advisors bring equally specialised backgrounds in finance, from taking private companies public in large-scale energy projects, to deep expertise in insurance.

The technology side is led by experts who have taught artificial intelligence at leading universities and delivered large-scale AI projects for blue-chip firms.

Collectively, the company draws on experience from institutions such as UBS, KPMG, Deutsche Bank, and Goldman Sachs. We are a diverse team headquartered in the City of London.

Our Principles

While not political, we are guided by firm ethical principles. Therefore, our models will not analyse businesses in fossil fuels, weapons and defence, pornography, or other sectors with well-documented humanitarian or ecological harm.