# Kantata vs Teamwork.com: which do AI models recommend for PSA, October 2026

Finance AI Recommendation Index, October 2026 Edition, Professional services automation. Ten of fourteen models named Kantata first on the direct prompt; zero named Teamwork.com. Page: https://finance-ai-index.com/receivables/professional-services-automation/kantata-vs-teamwork-com/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Kantata | 25% | #2 of 10 | 13% | 52 | 14 of 14 |
| Teamwork.com | 6% | #5 of 10 | 0% | 12 | 9 of 14 |

## The direct prompt, model by model

- Claude Haiku 4.5: kantata first (first choices: Kantata) (alternatives: Accelo, BigTime, Certinia Professional Services Cloud, Scoro)
- GPT-5.4 mini: kantata first (first choices: Kantata) (alternatives: Certinia Professional Services Cloud, Productive, Scoro)
- Perplexity Sonar: kantata first (first choices: Kantata) (alternatives: Accelo, Birdview, Rocketlane, Ruddr)
- Mistral Small: kantata first (first choices: Kantata, Rocketlane) (alternatives: SAP S/4HANA)
- Llama 4 Maverick: kantata first (first choices: Kantata) (alternatives: Scoro)
- Qwen 3.7 Flash: kantata first (first choices: Kantata) (alternatives: Accelo, Scoro)
- Kimi K2: kantata first (first choices: BigTime, Kantata) (alternatives: Accelo, Certinia Professional Services Cloud, Scoro)
- GLM 4.7 FlashX: kantata first (first choices: Kantata) (alternatives: BigTime, Scoro)
- MiniMax M2.5: kantata first (first choices: Kantata) (alternatives: Avaza, Certinia Professional Services Cloud, Rocketlane, Upland PSA)
- Muse Glimmer 30B: kantata first (first choices: Kantata) (alternatives: Birdview, Deltek Vantagepoint, Scoro)
- Gemini 3.5 Flash: neither first, one named (first choices: Rocketlane) (alternatives: Certinia Professional Services Cloud, Kantata, Scoro)
- Grok 4.1 Fast: neither first, one named (first choices: BigTime) (alternatives: Accelo, Autotask, Kantata, Scoro)
- DeepSeek V4 Flash: neither first, one named (first choices: BigTime) (alternatives: Accelo, Certinia PS Cloud, Kantata, Scoro)
- GPT-6 Luna: neither named (first choices: Kantata OX) (alternatives: BigTime, Certinia Professional Services Cloud, Rocketlane)

## What the models said about Kantata

- "if your use case is not services-delivery-heavy, because these are positioned as specialized PSA platforms ... may be overbuilt for simpler needs" (Perplexity Sonar, negative prompt, soft negative)
- "Legacy PSA leaders often struggle with their history... the transition to newer clouds ... has been rocky." (Qwen 3.7 Flash, negative prompt, soft negative)
- "Kantata if you need a very simple, low-admin tool... user reviews report a learning curve and complexity" (GPT-6 Luna, negative prompt, soft negative)
- "Positioned as best for mid-market and enterprise services orgs. Guideflow lists "Best for mid-market and enterprise services orgs: Kantata"" (Muse Glimmer 30B, direct prompt, first choice)
- "Choose Kantata if: You're a large consulting firm that treats resource forecasting as a core discipline and need deep project financials." (Kimi K2, comparative prompt, first choice)
- "1. Kantata (formerly Mavenlink + Kimble) - Best for: Large enterprises with complex, multi-departmental projects" (Mistral Small, comparative prompt, first choice)

## What the models said about Teamwork.com

- "If you need the cheapest viable PSA with time tracking + invoicing, Teamwork.com from ~$9.99/user/mo and BigTime Essentials from ~$20/user/mo are the most frequently cited budget-friendly options" (Muse Glimmer 30B, budget prompt, first choice)
- "Productive (starting at $9/user/month) or Teamwork.com ... offer the best overall value" (DeepSeek V4 Flash, budget prompt, first choice)
- "Productive or Teamwork are the top picks" (GLM 4.7 FlashX, budget prompt, first choice)

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.