Introducing Sieve - AI Co-Pilot For Early-Stage Investors
Stop reading bad decks. Start funding great companies.
Save 15 hours weekly on manual deal intake to evaluate more deals and find startups matching your thesis with Sieve, the AI system for early-stage investors.
Analyze your next 20 deals, free
See How It Works
TheSprintFit Mission
We started with a simple question—what if early-stage investing was easier?
We're building an AI-powered investment intelligence platform that uses data to evaluate early-stage startup investing in a way that is more transparent, fair, and accessible.
Join the Waitlist
Introducing Sieve - AI Co-Pilot For Early-Stage Investors
Stop reading bad decks. Start funding great companies.
Save 15 hours weekly on manual deal intake to evaluate more deals and find startups matching your thesis with Sieve, the AI system for early-stage investors.
Analyze your next 20 deals, free
See How It Works
The problem isn't deal flow. It's deal overflow
You're not struggling to find startups—you're drowning in them.
You're proud of being "hands-on" with deal evaluation. But reading every deck personally doesn't make you thorough—it makes you slow. Your competitors with systematic filters see the same winners faster.
200
Inbound Decks monthly
80%
Obviously wrong from your thesis lack basic infomration
What if the real competitive advantage isn't seeing everything, but seeing the right things first?
What You're Doing Now. 15 hours wasted per week on obviously wrong deals
⏱️
Increased Screening Time
🎯
Manual Data Entry
Copies key data into the spreadsheet for comparison
Partners review spreadsheet, ask for missing info
💰
Missing Data
Back-and-forth with founders to fill gaps
📊
Not the right fit
15 hours later, you realize it was never a fit for your thesis
How it Works
Partners spend 15 hours weekly on decisions, not data entry
1
Connect Your Intake
Sieve integrates with your deal generation, existing application forms, and email workflows.
Founder submits to your intake form (nothing changes for them)
2
Define Your Filters
Set your investment criteria, stage preferences, industry focus, and deal size parameters.
Sieve automatically enriches data, validates claims, scores thesis fit
3
Let Sieve Sort
AI analyzes every submission, enriches data, and routes qualified opportunities to your team.
You only see the top 20% that match your criteria
4
Review Winners Only
Spend your time on pre-qualified startups that match your thesis.
Each qualified deal arrives with complete data, competitive analysis, founder background
Try Sieve with your next 20 deals. Zero risk.
Submit your intake form to Sieve. We'll show you which deals match your thesis and why. If you don't save 10 hours or more in the first month, we'll refund you completely.
No credit card required for trial
Get Started for Free
Schedule a Demo
Integrates with your existing intake forms
Set up in under 10 minutes
Trusted by Savvy Early-Stage Investors
Sarah Chen
Partner at TechVentures
"Sieve helped us identify our best deal of Q3 ⎯
one we almost missed in the noise."
Varun Tripathi
Managing Director
"The time savings are incredible, but the
accuracy improvement is what sold us."
Meet Sieve: Your AI Investment Analyst
Intelligent Screening
AI-powered analysis of
every submission against
your investment criteria,
industry focus, and stage
preferences.
Stop wasting time on "interesting but not for us" deals
Data Enrichment
Automatic research and
validation of startup claims,
founder backgrounds,
market data, and competitive
landscape.
Validates founder claims, pulls competitive data, analyzes market positioning
Deal Routing
Intelligent distribution to the
right team members based
on expertise, availability, and
deal characteristics.
Automatically sends SaaS deals to your SaaS partner, fintech to your fintech partner Right opportunities reach right people automatically
Investor Ready Reporting
Auto-generates quarterly pipeline summaries and deal flow analytics. understand investment decisions from a data perspective
Analyst manually reads every deck that comes in