Methodology

How 33X Survivability Works

Methodology for our UK early-stage research platform. Operating data is standardised, stress-tested, and benchmarked to produce a 24-month survivability band.

Browse deal coverageAbout 33X
Last updated: 18 Feb 2026Scope: UK pre-seed / seed

Framework At A Glance

Five-step pipeline

Inputs flow through normalisation, stress testing, and cohort benchmarking to produce a survivability band with confidence score.

Step 1

Inputs

Cash, burn, revenue, margin, headcount, hiring plan, and raise data.

Step 2

Normalise

Standardise units and cadence. Adjust for stage and sector context.

Step 3

Stress Test

Revenue down, burn up scenarios. Hiring and timing delays applied.

Step 4

Benchmark

Compare against relevant cohorts. Apply data-quality weighting.

Step 5

Output

24-month survivability band with confidence level and timestamp.

01

What It Is

33X is a UK early-stage research platform for deal, company, and market research. Think of it as a research desk built into a product: company operating data is standardised, stress-tested, and benchmarked across a 24-month horizon.

02

What It Isn't

  • Not investment advice.
  • Not an exit or return prediction.
  • Not a recommendation to invest or avoid.

No score is better than a misleading score. If inputs are insufficient, we reduce confidence or hold release.

03

Inputs

Minimum dataset expected before full coverage:

  • 01Cash on hand and monthly burn
  • 02Revenue trend and gross margin
  • 03Headcount profile and hiring plan
  • 04Raise target, timing, and deal structure basics

04

Stress Assumptions

We test plausible downside conditions: demand slowdown, burn expansion, and execution delays. The objective is to estimate resilience, not to force a single deterministic scenario.

Demand slowdownBurn expansionRevenue missHiring delayTiming slip

05

Cohorts & Benchmarking

Raw company metrics are benchmarked against relevant cohorts — stage, sector, and business model — to avoid cross-context distortion.

Stage

Seed · Pre-seed

Sector

Vertical-matched

Model

B2B / B2C

06

Confidence Levels

Confidence reflects source quality, data completeness, and benchmark relevance. Lower confidence signals uncertainty in evidence quality — not an automatic investment conclusion.

Confidence describes data robustness and comparability, not founder quality.

07

Versioning

Every assessment is time-stamped and versioned. When data changes materially, a new version is released so members can compare what changed and why. The record compounds rather than overwrites.

Reference

Definitions

Survivability band

Estimated 24-month downside survival range under stated stress assumptions.

Confidence

Evidence quality score based on data completeness and source reliability.

Cohort

Comparable set of companies with similar stage, sector, and operating profile.

Information is provided for research and education, not personal investment advice.

Need practical context? See the United Kingdom framework.

33X | UK Early-Stage Research Platform