What's Inside Every VC's Tech Stack - And What Isn't
Over the past two months, AGX, Venture Connections and European Women in VC surveyed 250+ venture professionals across $80B in assets under management to measure something the industry has never benchmarked systematically: how VC firms actually run their operations.
The result is the VC Tech Stack Pulse 2026 - an independent, unsponsored snapshot of the tools, decisions, and gaps that shape modern fund operations. Below is what we found, and what GPs should weigh before the next budget cycle.
Fragmentation is the default
Respondents collectively named 180+ unique tools across their stacks. No category has a single dominant winner - most have a long tail of niche players competing with the category leader.
A few numbers that frame the landscape:
30+ AI tools, 50+ sourcing tools, 45+ CRMs, and dozens more across DD and admin
15%+ of funds rely on custom-built tools somewhere in their stack
#1 concern across every category: data privacy
There is no canonical VC operating system. Most firms are stitching one together themselves.
Most-used ≠ most-loved
The report introduces an "Awesomeness Index" - the ratio of users who love a tool to those using it reluctantly. The gaps are revealing.
Category | Most Used | Most Loved |
|---|---|---|
AI & Automation | Claude (68%) | Claude (10.86) |
Deal Sourcing | Pitchbook (52%) | Harmonic (2.82) |
CRM & Pipeline | Affinity (40%) | Attio (5.00) |
Due Diligence | Excel/Google Sheets (84%) | Claude (11.57) |
Fund Admin | Carta (28%) | Carta (1.34) |
Only Claude and Carta appear as both leader and favorite in their categories. Everywhere else, the incumbent and the favorite are different tools — a clear signal of where displacement pressure is building.
The most striking gaps:
Affinity is used by 40% of funds, yet 42% of its users explicitly state they are "not a fan."
Harmonic has the highest sourcing love score, but ~25% of respondents have never heard of it.
Attio wins CRM satisfaction (80%+ "love it"), but its actual adoption is four times lower than the interest it generates.
The last tool funds actually adopted
When asked about the most recent tool adopted as a company-wide standard, three names dominated across 60 candidates:
Claude - 22%
Granola - 10%
Attio - 6%
AI is now table stakes (Claude), meeting intelligence has crossed the chasm (Granola), and a next-generation CRM is winning the wedge (Attio).
How those decisions get made matters as much as the outcome:
Set of Features (24%), Ease of Use (21%), and Network Recommendations (20%) are the top three selection drivers
Vendor Reputation & Safety: 6% — security is a baseline requirement, not a competitive driver
53% of funds evaluated 3 or more tools before deciding
69% of decisions took between 1 week and 3 months
A peer's seal of approval beats brand standing. And once a tool is in, it stays: 90% usage stability and 73% would repurchase. The cost of switching is real.
Why tools get rejected
Of equal interest: which tools didn't make it. Across 50+ rejected tools, the top reasons are:
Pricing: 39% — and uncorrelated with AUM. Funds of every size walk away on cost-to-value mismatch.
Workflow mismatch: 18%
Implementation effort: 9%
Data security failure — appears repeatedly in qualitative responses as the single most common silent killer of evaluations
Cost discipline is universal. So is the demand for security that simply works.
What VCs say is missing
The community-voted wishlist for the next 12 months clusters into six themes:
Automation — inbound parsing, dealflow logging, reporting
Single source of truth — connected CRM, email, notes, decks, portfolio data
AI that actually helps — startup scoring, deck analysis, decision support
Tools connectivity — interoperability between CRM, email, LinkedIn
Better dealflow — smarter filtering, less noise
The "LP button" — automated updates and real-time portfolio insights
Read together, this isn't a tools problem. It's an integration problem. The market is over-served on point solutions and under-served on connective tissue.
Who responded
The dataset reflects 250+ professionals across $80B AUM:
Balanced 50/50 split between GPs/Partners and Operations/Investment teams
Predominantly Europe-based, with strong US representation
All AUM brackets represented (sub-$50M to $250M+)
98% of respondents in active deployment or fundraising phases
The most striking demographic finding: emerging managers and veteran GPs want the same things. Experience does not change the wishlist — only the resources available to chase it.
Final takeaways for GPs
The VC tech stack is undergoing a massive tectonic shift. While testing new tools offers immediate excitement and a short-term performance boost for the team, three fundamental challenges remain critically valid:
Data Migration Lock-in. New tools introduce custom AI-generated data (like summaries and proprietary scoring) and unique data structures, making migration an unsolved and complex translation challenge across platforms.
Security and Compliance Trap. Hallucination is a visible, surface-level error. The real, hidden danger is data leakage, security gaps, and compliance failures, which carry unquantifiable, existential risk.
Proving the Edge. With VC cycles stretching years and early-stage data often scarce, connecting the new stack to definitive performance metrics like DPI is a significant, ongoing challenge.
Read the full report
The complete report — with category breakdowns, charts, and strategic insights for AI, Sourcing, CRM, DD, Admin, and Brand Battle — is available here:
The data is only as sharp as the community behind it. If you'd like to contribute to the next edition, leave your email on the report page — we'll only reach out when it's time to update the benchmark.
contact: [email protected]
Independent and unsponsored. A joint initiative by AGX and European Women in VC, based on 250+ responses collected March–April 2026.