# Ledgy vs Shareworks: which do AI models recommend for cap table management, October 2026

Finance AI Recommendation Index, October 2026 Edition, Cap table management. Zero of fourteen models named Ledgy first on the direct prompt; zero named Shareworks. Page: https://finance-ai-index.com/corporate/cap-table-management/ledgy-vs-shareworks/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Ledgy | 2% | #6 of 10 | 5% | 39 | 13 of 14 |
| Shareworks | 2% | #7 of 10 | 24% | 29 | 13 of 14 |

## The direct prompt, model by model

- GPT-5.4 mini: neither first, one named (first choices: Carta) (alternatives: Eqvista, Ledgy, Shareworks)
- Gemini 3.5 Flash: neither first, one named (first choices: Carta) (alternatives: Ledgy, Mantle, Qapita)
- Grok 4.1 Fast: neither first, one named (first choices: Carta) (alternatives: Ledgy, Pulley)
- Mistral Small: neither first, one named (first choices: Qapita) (alternatives: Ledgy, Pulley)
- DeepSeek V4 Flash: neither first, one named (first choices: Carta, Pulley) (alternatives: Shareworks)
- Qwen 3.7 Flash: neither first, one named (first choices: Carta) (alternatives: Pulley, Qapita, Shareworks)
- Kimi K2: neither first, one named (first choices: Cake Equity, Pulley) (alternatives: Eqvista, Ledgy)
- MiniMax M2.5: neither first, one named (first choices: Cake Equity, Qapita) (alternatives: Carta, Shareworks)
- GPT-6 Luna: neither first, one named (first choices: Carta) (alternatives: Shareworks)
- Muse Glimmer 30B: neither first, one named (first choices: Carta) (alternatives: Cake Equity, Ledgy, Qapita)
- Claude Haiku 4.5: neither named (first choices: Qapita) (alternatives: Cake Equity, Carta, Pulley)
- Perplexity Sonar: neither named (first choices: Carta) (alternatives: Cake Equity, Pulley, Qapita)
- Llama 4 Maverick: neither named
- GLM 4.7 FlashX: neither named (first choices: Carta) (alternatives: Fidelity Private Shares, Pulley, Qapita)

## What the models said about Ledgy

- "Historic data setup can take effort and some users find complex funding round modeling less intuitive" (Claude Haiku 4.5, negative prompt, soft negative)
- "starts at €75/month, but is often a better fit for European/international companies" (GPT-5.4 mini, budget prompt, soft negative)
- "Shortlist 3–5: Demo Carta, Ledgy, and 1–2 others matching your location/equity needs." (Grok 4.1 Fast, scale prompt, first choice)
- "these international-first platforms offer superior localized tax and legal compliance automation compared to US-centric platforms" (Gemini 3.5 Flash, scale prompt, alternative)
- "they're flagged more than leaders like Ledgy or Fidelity Private Shares ... For growth, Ledgy (EU/international)" (Grok 4.1 Fast, negative prompt, alternative)

## What the models said about Shareworks

- "more appropriately sized than enterprise-first options like Shareworks / Morgan Stanley at Work... Choose Shareworks only if you are already at enterprise complexity" (Perplexity Sonar, paraphrase prompt, soft negative)
- "it's worth a caution for startups specifically ... clunky and overkill for pre-Series-B companies" (DeepSeek V4 Flash, negative prompt, soft negative)
- "If you are an early-stage or mid-stage startup, Shareworks is generally considered a poor fit." (Gemini 3.5 Flash, negative prompt, soft negative)
- "Shareworks by Morgan Stanley at Work is the mid-market to enterprise benchmark for compliance-oriented administration." (Muse Glimmer 30B, paraphrase prompt, first choice)
- "The traditional "enterprise" heavyweights. If you are actively on the road to an IPO within the next 12–18 months, these platforms excel ... though they can be slow to implement." (Gemini 3.5 Flash, scale prompt, alternative)
- "Choose Shareworks if you want a more enterprise/finance-led platform and can tolerate a heavier implementation." (GPT-5.4 mini, direct prompt, alternative)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.