EZVC
The analyst that has read every startup that ever mattered.
EZVC ingests a deck, a data room or a single URL and returns a structured investment memo grounded in YC, Sequoia and public venture outcome datasets — comparables, failure patterns, market shape and a recommendation with its reasoning exposed.
40x
Inbound coverage
9 min
Deck to draft memo
100%
Cited reasoning
Worked example
Northwind Robotics — Series A
18-slide deck + data room link + 42-min founder call recording
Sector
Warehouse automation · hardware + software
Ask
$14M at $70M post · 20% dilution
Traction
$2.4M ARR, 118% NRR, 9 logos
Team
2 founders ex-Amazon Robotics, 31 FTE
Run log
- Parse deck + data room
18 slides, 214 data-room files, 1 call transcript normalised.
- Verify the numbers
ARR rebuilt from the invoice export — deck says $2.4M, invoices support $2.19M.
- Match outcome cohort
1,840 hardware-led automation companies matched on stage, ACV and gross margin.
- Bull and bear agents
Two independent agents argue the round; disagreements preserved, not averaged.
- Draft memo
Written into the partnership's memo template with citations to source pages.
Output
Press run to work this example end to end. Everything below is produced from the input above — sample data, real output shape: investment memo, comparable set, risk register, recommendation + rationale.
Outcome-grounded scoring
Every company is positioned against thousands of historical trajectories, not a generic rubric. The model shows which cohort it resembles and what happened to that cohort.
Deck to memo in minutes
Team, market, traction, moat, round mechanics and risk register — drafted in your partnership's own memo format, with citations back to source material.
Dissent by design
The bull case and the bear case are produced by separate agents. You see the disagreement instead of a flattened average.
Takes in
- Pitch decks
- Data rooms
- Founder calls
- Public web + registry data
Hands back
- Investment memo
- Comparable set
- Risk register
- Recommendation + rationale