On air · 2 of 3 networks
Collate
- getcollate.io
- Data
- US
- 63 employees
Collate’s ads on LinkedIn, Meta and Google, recorded by adsrunning. Browse the latest here for free. Sign up free to see all 373. Watch Collate 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 | 129 | Checked 30 Oct 2026 | See all 373 ads → | ||
| Meta | Not checked | — | |||
| Running | 71 | Ads on the Google Ads Transparency Center | Checked 25 Oct 2026 | Collect them with the API → |
Collate has 129 live LinkedIn ads. We recorded 71 Google ads on 25 Oct 2026.
Latest ads
- LINKEDIN · IMAGESince 27 Oct 2026
The elephant is a perfect mascot for PostgreSQL. It is durable, persistent, and adaptable. Of course, Collate supports Postgres, and in this Collate Solutions video, Joseph P. and Shawn Gordon will show how easy it is to integrate them together. You'll also get a peek at the Knowledge Explorer in this short video. 🎥Watch👉here: https://buff.ly/iM0Q0VP #dataengineering #dataquality #datagovernance #collate #postgres #openmetadata
- LINKEDIN · IMAGESince 27 Oct 2026
Fivetran is a dominant player in the data movement and transformation space. Their recent merger with dbt Labs brings even more synergy into the data space. In this Collate Solutions session, Aydin Geeringh, CFA, and Shawn Gordon will demonstrate how to integrate it into your Collate environment. You'll see how Fivetran integrates with your lineage, and how you can document your data pipelines with robust metadata. 🎥Watch👉here: https://buff.ly/U9QsECK #dataengineering #datalake #dataquality #datalineage #datagovernance #openmetadata
- LINKEDIN · IMAGESince 27 Oct 2026
"If the foundations aren't there, every model will be confidently wrong." That's the problem this panel tackled live at Big Data LDN. Moderated by our CMO Steve Wooledge, with Mike Ferguson (Conference Chair, Big Data London), Angelita Frozza Sanches (Head of Data, Scout24 SE), and our co-founder and CEO Suresh Srinivas. Angelita walks through Scout24's production AI agent: a company-wide Slack bot with confidence scores on every answer and a curated query library keeping KPI definitions consistent across 10+ subsidiaries. Mike Ferguson weighs in on "context islands" versus a unified context layer. Suresh shares the benchmark behind it all: accuracy up from 59% to 94%, tokens down 75%, compute down 87%, when AI agents are grounded in context instead of raw metadata. 🎥 Watch the full panel: https://buff.ly/N9SdtDc #AIforData #ContextLayer #AIAgents #BigDataLDN #OpenMetadata
- LINKEDIN · VIDEOSince 27 Oct 2026
Angelita Frozza Sanches, Head of Data at Scout24 SE, explains why a legacy data catalog couldn't solve their AI problem: the team needed one shared context layer their AI agents could reason over, without moving data between systems. Scout24 piloted OpenMetadata, then scaled with Collate: under 10 weeks to production, 10+ subsidiaries now running on one context layer for agents In her words: "We all talk about AI, but the real product is not AI. Context is the real product. AI just multiplies it." 📘 Read the full case study --> https://buff.ly/mGeD5Lc #AIforData #ContextLayer #CustomerStory #OpenMetadata
- LINKEDIN · VIDEOSince 13 Oct 2026
For our latest episode of Ask the Experts, Collate Founding Account Executive Pierre Jaouën ☁️ talks with Shawn Gordon. They talk about the challenges companies face with directives like GDPR, BCBS, and other requirements in Europe, how they are solving these problems, and how Collate also plays a role in the solution. #OpenMetadata #DataGovernance #DataDiscovery #BCBS #GDPR #Collate #contextinsights #DataEngineering #TechInterview
- LINKEDIN · IMAGESince 13 Oct 2026
7.1x more accurate answers. 86% less compute. That is what changes when an agent runs on a real context layer instead of guessing from raw schema. Those are our own benchmarks, on our own testing, and we will show the setup on the call. The mechanism is not complicated. An agent that can read what a field means, which definition is authoritative, and what it is allowed to see does not have to infer any of it. Inference is where both the errors and the token spend come from. Jessica Talisman and Collate CTO Sriharsha Chintalapani get into how metadata, meaning, and memory produce that, on 14 October. 8am PT, one hour. Register: https://buff.ly/NbN1G6K #ContextLayer #AIAgents #AIforData #OpenMetadata
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