Screen your inbound dealflow faster — without missing the breakout
EvalLense gives every deck a structured first read — score, strengths, risks, missing data, and the questions to ask — on one consistent bar. Screen hundreds of decks in an afternoon and hand partners a ranked shortlist. Refined across hundreds of runs; the final call is always yours.
What a screening batch looks like
- 100sdecks per screening batch
- 4–5 minmachine first-read per deck
- 6scoring dimensions per deck
- 10checks for missing deck evidence
After a batch, you get
- Partner-ready memos
- Ranked shortlist
- Risks & gaps
- IC questions
- One screening bar
- WHY MANUAL SCREENING BREAKS
Too much dealflow. Too little time to read it.
At volume, breakout decks get skimmed. The bar drifts between analysts, notes scatter, and the screen gets harder to defend to your IC and LPs.
- Volume
Inbound never stops
More decks arrive each week than the team can read closely.
- Partner time
Partner time is the bottleneck
The first decks get a real read; the rest get a skim — and the breakout might be in the rest.
- The bar
The bar drifts
One analyst weighs traction, another the team — the screen isn't the same twice.
- Defensibility
Hard to defend the call
Months later, you can't reconstruct why a deck advanced — or died — for the IC or your LPs.
THE WHOLE LOOP, END TO END
How a single
screening runs
Set your bar once. EvalLense applies it to every deck and prepares what partners need to decide faster.
- 01
Collect the dealflow
Founders submit decks and you drop in inbound — everything lands in one place.
- 02
Set your thesis bar
Choose the scale, weights, and dimensions that match your fund's thesis.
- 03
Run the machine pass
EvalLense prepares a structured first read of every deck — about 4–5 minutes per deck after upload.
- 04
Hand partners the shortlist
Every memo carries strengths, risks, gaps, and the questions to ask.
- 05
You make the call
Partners verify, compare, and decide. A human sets the final score — the ranking runs on it.
What the fund gets
By the IC meeting, you have a working picture of every deck. Each memo is built the same way, so startups compare side by side.
A memo for every deck
A ranked shortlist
Questions for the IC
Risks and missing data
One screening bar
Not a black box. Not a partner replacement.
EvalLense prepares the analysis; it never makes the final call. It widens what your team can read closely — so the breakout gets the same first read as every warm intro.
- AI prepares
AI prepares the analysis
EvalLense lays out the evidence, the risks, and the questions — then hands them to the partners who decide.
- One bar
One bar for every deck
Every deck runs through the same scoring logic — the outlier gets the same first read as the warm intro.
- Defensible
Every score is cited
Scores trace to evidence in the deck — defensible to your IC and your LPs, not a gut call.
- Risks
Risks and gaps
Each memo flags what to verify before the partner meeting.
- Questions
Questions for the IC
The memo sharpens the partner discussion — it doesn't replace it.
- Human
You set the final score
Control stays with the partners. The ranking runs on your call, not the AI's.
Built for how a fund screens
From the first inbound read to the IC meeting — one consistent bar across your whole dealflow.
- Inbound screening
Inbound screening
Turn a full inbox into a ranked shortlist — every deck on the same bar. Looks at problem, market, team, traction, gaps.
- Thesis-fit filtering
Thesis-fit filtering
Score decks against your fund's thesis, not a generic rubric. Weight the dimensions that decide your investments.
- IC preparation
IC preparation
Walk into the partner meeting with a memo and the sharp questions per deck — strengths, risks, and what to verify.
- Demo-day & batch review
Demo-day & batch review
Screen a whole cohort fast after the pitches. Compare every startup side by side on one consistent bar.
Run a pilot on your real dealflow
We screen a real batch of your inbound, prepare partner-ready memos, and show how EvalLense ranks your dealflow — while the call stays yours. About 4–5 minutes of machine first-read per deck after upload. Refined across hundreds of runs.