On air · 1 of 3 networks
ArmsLength AI
- armslength.ai
- PL
- 3 employees
ArmsLength AI’s ads on LinkedIn, Meta and Google, recorded by adsrunning. Browse the latest here for free. Sign up free to see all 29. Watch ArmsLength AI with Starter to get each new one in your feed.
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| Network | Status | Live ads | Nov 2025LinkedIn activity · 52 weeksOct 2026 | Checked | Next step |
|---|---|---|---|---|---|
| Running | 4 | Checked 29 Oct 2026 | See all 29 ads → | ||
| Meta | Not checked | — | |||
| Recently | 6 | Ads on the Google Ads Transparency Center | Checked 17 Oct 2026 | Collect them with the API → |
ArmsLength AI has 4 live LinkedIn ads. We recorded 6 Google ads on 17 Oct 2026.
Latest ads
- LINKEDIN · EVENTSince 15 May 2026
AI can help teams execute benchmarking work more efficiently and also makes it easier for tax authorities to spot weaknesses, therefore your process must be more defensible than ever. You’ll see: - The typical stages of a benchmarking study and the main decisions at each step - Where benchmarking processes tend to break down in practice - How issues like loss-makers, range selection, rejection logic, and comparability quality are being scrutinised - How a modern workflow can improve consistency, speed, and documentation quality - Where human judgement still matters most
- LINKEDIN · IMAGESince 14 May 2026
AI is changing both sides of the equation. It can help teams execute benchmarking work more efficiently and consistently, but it also makes it easier for reviewers, tax authorities, and counterparties to scrutinise benchmarks, test assumptions, and spot weaknesses in the process. Join us as we walk through a typical, end-to-end benchmarking workflow inside ArmsLength AI and highlight the points in the process that are most often challenged in audits and disputes. You’ll see: - The typical stages of a benchmarking study and the main decisions at each step - Where benchmarking processes tend to break down in practice - How issues like loss-makers, range selection, rejection logic, and comparability quality are being scrutinised - How AI is making it easier both to execute benchmarking work and to scrutinise the quality of benchmarking analyses - How a modern workflow can improve consistency, speed, and documentation quality - Where human judgement still matters most
- LINKEDIN · IMAGESince 22 Apr 2026
Let’s be honest: benchmarking is usually a grind. We’ve all been there - staring at hundreds of tabs, manually capturing screenshots, and copy-pasting descriptions until the "non-value work" starts to feel endless. It’s high-risk, low-margin, and a recipe for burnout. At armslength.ai, we built a better way. Our AI Benchmarks platform handles the heavy lifting: - Enrichment: It scans websites and public data in minutes. - Consistency: It applies logic row-by-row, explaining every accept/reject decision. - Control: You stay in the driver’s seat - reviewing evidence and overriding flags with a click. The result? You go from a database export to a branded, audit-ready report in a fraction of the time. We like to say AI is a force multiplier. It doesn’t replace your judgment; it clears away the data-heavy lifting so you can actually use it. Check out the video to see how we’ve turned days of manual work into a 30-minute workflow. Is your team still reviewing comparables one-by-one, or are you ready to automate the grind?
- LINKEDIN · IMAGESince 21 Apr 2026
In the last year, we reviewed more than 50 benchmarks performed by humans. Same issue kept showing up. Company A rejected for "manufacturing activities." Company B accepted despite "production facilities" on their website. The problem? Human inconsistency. When you're reviewing your 10th comparable, you're sharp. Clear rejection criteria. Detailed notes. By comparable 150? Different story. → Generic rejection reasons → Missed obvious red flags → Contradictory decisions This gets worse when you split work across team members. Each person applies slightly different judgment. What counts as "manufacturing" for one reviewer might be "assembly" for another. Tax authorities love this. They'll pick apart your inconsistencies during audits. "Why did you accept this company but reject that one?" The solution isn't working harder. It's working smarter. AI doesn't get tired at 6 PM on Friday. It applies the same logic to comparable 1 and comparable 500. Every decision follows the same criteria. Every rejection gets specific documentation. Our AI Benchmarks platform handles the heavy lifting: - Enrichment: It scans websites and public data in minutes. - Consistency: It applies logic row-by-row, explaining every accept/reject decision. - Control: You stay in the driver’s seat - reviewing evidence and overriding flags with a click. The result? You go from a database export to a branded, audit-ready report in a fraction of the time.
- LINKEDIN · VIDEOSince 21 Apr 2026
Let’s be honest: benchmarking is usually a grind. We’ve all been there - staring at hundreds of tabs, manually capturing screenshots, and copy-pasting descriptions until the "non-value work" starts to feel endless. It’s high-risk, low-margin, and a recipe for burnout. At armslength.ai, we built a better way. Our AI Benchmarks platform handles the heavy lifting: - Enrichment: It scans websites and public data in minutes. - Consistency: It applies logic row-by-row, explaining every accept/reject decision. - Control: You stay in the driver’s seat - reviewing evidence and overriding flags with a click. The result? You go from a database export to a branded, audit-ready report in a fraction of the time. We like to say AI is a force multiplier. It doesn’t replace your judgment; it clears away the data-heavy lifting so you can actually use it. Check out the video to see how we’ve turned days of manual work into a 30-minute workflow. Is your team still reviewing comparables one-by-one, or are you ready to automate the grind? Book your ArmsLength AI Demo
- LINKEDIN · VIDEOSince 17 Apr 2026
Let’s be honest: benchmarking is usually a grind. We’ve all been there - staring at hundreds of tabs, manually capturing screenshots, and copy-pasting descriptions until the "non-value work" starts to feel endless. It’s high-risk, low-margin, and a recipe for burnout. At armslength.ai, we built a better way. Our AI Benchmarks platform handles the heavy lifting: - Enrichment: It scans websites and public data in minutes. - Consistency: It applies logic row-by-row, explaining every accept/reject decision. - Control: You stay in the driver’s seat - reviewing evidence and overriding flags with a click. The result? You go from a database export to a branded, audit-ready report in a fraction of the time. We like to say AI is a force multiplier. It doesn’t replace your judgment; it clears away the data-heavy lifting so you can actually use it. Check out the video to see how we’ve turned days of manual work into a 30-minute workflow. Is your team still reviewing comparables one-by-one, or are you ready to automate the grind? Book your ArmsLength AI Demo
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