Top AI builders for Sales & Revenue
Builders never pay to be listed, and order never depends on fees. What counts
On this page: Rankings · New this month · By model
Rankings
Top builders
- 1ModernEdge AITop use case: Research or analysis produced by hand that could be systematized5solutions · 5 complete
- 2OutcomeCatalystTop use case: Unstructured documents hold answers nobody can search3solutions · 2 complete
- 3ProSightsTop use case: Acquired or multi-entity units that report separately3solutions
- 4Eclipse AITop use case: Quote or bid that needs engineering or pricing judgment3solutions
- 5PressWTop use case: Lead volume that outruns qualification capacity3solutions
- 6Casper StudiosTop use case: Lead volume that outruns qualification capacity3solutions
- 7Remix PartnersTop use case: Quote or bid that needs engineering or pricing judgment3solutions
- 8SynopsisTop use case: Decisions made on partial data because systems don't connect2solutions · 2 complete
- 9AtherialTop use case: Lead volume that outruns qualification capacity2solutions · 1 complete
- 10SudolabsTop use case: Quote or bid that needs engineering or pricing judgment2solutions
- 11ScendTop use case: Lead volume that outruns qualification capacity2solutions
- 12Hotham AITop use case: Sales & Revenue1solution · 1 complete
- 13Alpha InfraTop use case: Proposal, SOW or memo written from scratch despite an archive1solution · 1 complete
- 14BaseForge AdvisorsTop use case: Quote or bid that needs engineering or pricing judgment1solution · 1 complete
- 15Checkmark AutomationsTop use case: Proposal, SOW or memo written from scratch despite an archive1solution · 1 complete
- 16RAM SolutionsTop use case: Proposal, SOW or memo written from scratch despite an archive1solution · 1 complete
- 17TensileTop use case: An AI system whose accuracy nobody can measure or trust1solution · 1 complete
- 18ScrumLaunchTop use case: Unstructured documents hold answers nobody can search1solution · 1 complete
- 19MJ VenturesTop use case: Proposal, SOW or memo written from scratch despite an archive1solution · 1 complete
- 20Alongside AITop use case: Meeting or call prep done by hand1solution · 1 complete
Ranked by solutions on file. Ties go to the builder with more complete receipts: ones that say what changed in numbers, how long it took and what it cost. Once enough receipts are complete, this board will rank by those instead.
On file: 17 more builders
- Soal Labs1 complete · 1 solution
- Backland Labs1 solution
- Loop31 solution
- Stackfix1 solution
- North Group1 solution
- Topsail1 solution
- Stoop Studios1 solution
- Human Pilots AI1 solution
- Eliza1 solution
- Highlane Partners1 solution
- Defyner1 solution
- Malleable AI1 solution
- Tau9 Labs1 solution
- The Grin Labs1 solution
- AHB Advisors1 solution
- Lazer Technologies1 solution
- Ben Gold AI1 solution
Buyers' picks
- 1
- 2
- 3How an Industrial Maker Recovered 30% of Leaking RevenueOutcomeCatalyst
- 4
- 5How a Media Team Cut RFP Prep From 3 Hrs to 15 MinCheckmark Automations
- 6How One Sales Team Cut Outreach Prep 95%RAM Solutions
- 7How a Luxury Brokerage Lifted Sales ~7% on Client DataOutcomeCatalyst
- 8
- 9
- 10How a VC Firm Lifted Deal Screening Throughput 6xModernEdge AI
Likes from buyers count first. Until more solutions have likes, the rest of the list is the receipts that tell a buyer the most: outcomes, a number, a time and a cost.
New this month
By model
Pick a model to see who builds on it and what for.
18 solutions use several models; 18 run on custom or proprietary models. A solution counts once for each family it names. GPT includes OpenAI, ChatGPT and Azure OpenAI; Gemini includes NotebookLM; Open-weight is Llama, Mistral and other self-hosted models.
Most solutions on any model
- 1ModernEdge AITop use case: Repeat customer questions that eat support capacity15solutions
- 2CorralDataTop use case: Marketing spend optimized on the wrong signal10solutions
- 3ElizaTop use case: Engineering throughput capped by hands-on-keyboard hours9solutions
- 4OdeTop use case: Intake documents retyped into a system9solutions
- 5PressWTop use case: Policies exist but nobody can find them mid-task9solutions
- 6Lazer TechnologiesTop use case: Validation and prototyping that takes months before a real user sees it8solutions
- 7Bolt GroupTop use case: Staff or capacity scheduled without visibility into volume6solutions
- 8North GroupTop use case: AI tools in place but unconfigured for the work6solutions
What it's used for
- 116solutions
- 215solutions
- 312solutions
- 411solutions
- 510solutions
- 610solutions
Share of new solutions, by quarter
| Quarter | GPT | Claude | Gemini | Other | Open-weight | Solutions |
|---|---|---|---|---|---|---|
| 2026 Q2 | 61% | 40% | 12% | 7% | 1% | 92 |
| 2026 Q3 | 43% | 44% | 12% | 9% | 5% | 104 |
| 2026 Q4 | 25% | 75% | 17% | 21% | 8% | 24 |
Of the solutions that say what they run on, the share naming each family. By when it went live where the builder told us, otherwise when it was added here. A solution naming two families counts in both, so a row can add up to more than 100%.