Top AI builders for Operations
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: Intake documents retyped into a system7solutions · 6 complete
- 2Bolt GroupTop use case: Staff or capacity scheduled without visibility into volume7solutions · 6 complete
- 3Mathison AITop use case: Continuous monitoring of a stream for the moments that matter6solutions
- 4BlueLabelTop use case: Missed or slow inbound calls at a multi-site service business5solutions · 1 complete
- 5North GroupTop use case: Matching people across a network by hand5solutions
- 6PressWTop use case: Policies exist but nobody can find them mid-task4solutions
- 7Stoop StudiosTop use case: Document reviewed against rules before it can move4solutions
- 8OdeTop use case: Intake documents retyped into a system4solutions
- 9SudolabsTop use case: Continuous monitoring of a stream for the moments that matter4solutions
- 10ElizaTop use case: Intake documents retyped into a system4solutions
- 11SwitchboardTop use case: A data foundation that has to exist before anything else can4solutions
- 12GiraffeTop use case: Research or analysis produced by hand that could be systematized4solutions
- 13Dextra LabsTop use case: Document reviewed against rules before it can move3solutions · 1 complete
- 14LaunchPad LabTop use case: Intake documents retyped into a system3solutions
- 15Dotnitron Technologies Private LimitedTop use case: Intake documents retyped into a system3solutions
- 16Real Minds, Artificial IntelligenceTop use case: Unstructured documents hold answers nobody can search2solutions · 1 complete
- 17BaseForge AdvisorsTop use case: Intake documents retyped into a system2solutions · 1 complete
- 18OutcomeCatalystTop use case: Senior time spent ramping juniors2solutions · 1 complete
- 19Soal LabsTop use case: Intake documents retyped into a system2solutions · 1 complete
- 20Boxcar aiTop use case: Quality depends on which site or which person2solutions
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: 44 more builders
- Tensile2 solutions
- Pluto AI2 solutions
- Malleable AI2 solutions
- Lazer Technologies2 solutions
- Casper Studios2 solutions
- Watch Me AI2 solutions
- The AI Lab2 solutions
- Remix Partners2 solutions
- Visibility1 complete · 1 solution
- GenLift1 complete · 1 solution
- RAM Solutions1 complete · 1 solution
- CorralData1 complete · 1 solution
- ScrumLaunch1 complete · 1 solution
- Synopsis1 complete · 1 solution
- ProSights1 solution
- Loop31 solution
- Eclipse AI1 solution
- Topsail1 solution
- Portfolio Leverage Company1 solution
- Brainforge1 solution
- Ideas2IT Technologies1 solution
- BOI (Board of Innovation)1 solution
- QuantFi1 solution
- Impact Advisors1 solution
- Next Focus1 solution
- Verdo1 solution
- eMediaAI.com1 solution
- AI Momentum Partners (AMP)1 solution
- DevDash Labs1 solution
- Every1 solution
- Chipp1 solution
- Artium AI1 solution
- MoD+M1 solution
- Ciridae1 solution
- Era Seven Partners1 solution
- Machine Cinema1 solution
- Headstart1 solution
- Eventus Advisory Group1 solution
- Egoless Consulting1 solution
- VestedInYou1 solution
- Tenex1 solution
- GenFutures Lab1 solution
- SaxeCap1 solution
- Machine & Partners1 solution
Buyers' picks
- 1How a Pharma Team Cut Disclosure Prep to 10 MinutesRAM Solutions
- 2
- 3How a SaaS Firm Underwrote $700K From One AI WorkflowAI Momentum Partners (AMP)
- 4
- 5How a 10-Agency Home-Care Network Cut Admin WorkModernEdge AI
- 6
- 7How a CRE Law Firm Cut Lease Redlines to 15 MinutesModernEdge AI
- 8
- 9
- 10
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%.