Headcount
Growth Metrics
24-month headcount trend
81
Employees
+305%
4.0x
Headcount
20 → 81
1.0 yrs
Median Tenure
Growth Trajectory
24-month headcount – 4.0x growth since Feb '24
8467513417
Feb '24Feb '26
81 now
Departments
Team Composition
Department breakdown with growth rates (last 3/6/12 months)
Largest Team
Arts and Design26.9%
18 employees · +125% YoY
Fastest Growing
Program and Proj…+200%
3 mo · 3 employees
| Arts and Design | 1826.9% | +6% 3 mo | |
| Engineering | 811.9% | — | |
| Sales | 811.9% | — | |
| Marketing | 710.4% | +17% 3 mo | |
| Operations | 57.5% | — | |
| Information Technology | 57.5% | — | |
| Entrepreneurship | 57.5% | — | |
| Business Development | 34.5% | — | |
| Customer Success and Support | 34.5% | — | |
| Program and Project Management | 34.5% | +200% 3 mo |
Workforce
Workforce DNA
Geography, skills and academic background
Top Locations
- United States36
- India28
- Massachusetts, United States10
- Greater Boston10
- South Africa4
Top Skills
- Leadership19
- Marketing16
- Microsoft Office15
- Customer Service14
- Social Media13
Top Schools
- Y Combinator4
- Western Washington University1
- Fundación de Educación Superior San José1
- Nyenrode Business University1
- Northeastern University College of Computer and Information Science1
Fields of Study
- Computer Science5
- Business Administration and Management, General5
- Marketing5
- Computational Science3
- Mass Communication/Media Studies2
Content
Brand Presence
Recent posts and external mentions (last 30 days). Click to open on LinkedIn.
8.6+
Mentions / Wk
Notable External Mentions
DateMentionReactions
- Feb 3Joshua Perk 👻 – What's better than this video? Knowing Vector 👻 was one of the companies TRAC.vc's algorithm picked to be a 🦄 Proud to be backed by the best!14
- Feb 4Jess Cook – Some learning curves only make sense after you’ve lived them. Funnel Vision was supposed to be 𝘵𝘩𝘦 thing for Vector 👻. Six months of building. A slick product UI. A beautiful narrative about contact-level intent. Launch posts. Playbooks. Customer testimonials. A scroll-stopping GIF with ghosts shooting lasers out of their eyes. And then we killed it. As a copywriter, you get used to having your darlings killed. But this one hurt differently. It had been the entire company's full focus for two solid quarters, and we all believed in it wholeheartedly. But when the data shows most customers aren't finding value, you listen. The new episode of 𝗧𝗵𝗶𝘀 𝗠𝗲𝗲𝘁𝗶𝗻𝗴 𝗖𝗼𝘂𝗹𝗱'𝘃𝗲 𝗕𝗲𝗲𝗻 𝗮 𝗣𝗼𝗱𝗰𝗮𝘀𝘁 is about what happened when we swung for the fences with Funnel Vision—and missed. What broke (besides our hearts lol). How we told 180+ customers. Why it was the right call. And how making the wrong decision led us to exactly where we needed to be. P.S. Sorry not sorry for swearing at you, Joshua Perk 👻68
- Feb 20Kurt Lohmann – 🚀 Move beyond keyword chaos! Vectors now help search understand meaning. The Vector Space Model (VSM) and Transformers revolutionize information retrieval by structuring text into high-dimensional vectors. Forget the limits of Boolean logic—enjoy true semantic understanding with these innovations. From contextual embeddings to dynamic queries, these tools empower better search experiences. Curious about how this works? Check out the full article for a deeper dive: [Read More](https://lnkd.in/gfXvs6tb). #InformationRetrieval #AI #Technology #Innovation #SemanticSearch0
- Feb 4Andrew McGlathery – Ads are coming to ChatGPT, and I’ve never been more excited about what we’re building at Vector 👻 They aren’t here *yet* (that minimum spend of $200k is 😳), but to use this new channel effectively, B2B marketers will need: 🔎🧠 a way to understand how their ads are performing apples-to-apples across platforms, down to “who clicked this ad? Do we care about them?” 🎯👥 a way limit their audiences to the people that matter to them to make the most of those expensive clicks The next performance channel is coming fast — and we’re getting Vector ready for it. 🛠️25
- Feb 17Ishwar Singh Bhati – 🚀 Excited to Share Our Latest Work on Advancing Vector Search with Intel® Xeon® Processors! Proud to be a co‑author on our new blog that dives deep into how Intel® Xeon® processors are setting a new standard for vector search performance, scalability, and efficiency. As AI applications increasingly rely on high‑quality embedding generation and fast, accurate nearest‑neighbor search, the underlying infrastructure matters more than ever. In this post, we walk through: 🔹 How modern Xeon architectures accelerate vector search workloads 🔹 The role of advanced instructions like AMX and AVX‑512 🔹 Practical benchmarks and insights from real‑world scenarios 🔹 Why CPU‑based vector search remains critical for cost‑effectiveness and scale 🔹 How Intel’s open‑source software ecosystem supports developers end‑to‑end Whether you're building retrieval‑augmented generation (RAG) systems, semantic search, recommendation engines, or large‑scale vector databases, these insights can help you optimize performance and TCO. 👉 Read the full blog here: https://lnkd.in/g_2_Dcz7 Always a great experience collaborating with this team, and excited for what’s coming next! #Intel #AI #VectorSearch #Xeon #RAG #SemanticSearch #OpenSource #AIInfrastructure36
- Feb 17Veebase – TECH DEEP DIVE: Vector Databases - The Hidden Engine of Modern AI Ever wonder how AI systems understand meaning, context, and similarity? The answer lies in vector databases—a foundational technology powering many of our products. Here's why vector databases matter: 📊 **Semantic Understanding**: They transform words, images, and concepts into mathematical representations that capture meaning beyond keywords. ⚡ **Real-Time Search**: Enable instant similarity searches across millions of data points—crucial for applications like Aura Health's patient matching. 🔄 **Multi-Modal Integration**: Connect text, images, and other data types in the same conceptual space. 💾 **Memory & Learning**: Store and retrieve knowledge that AI agents can use to improve over time. At Veebase, vector databases power everything from VeeSentinel's content analysis to Synapse Flow's agent memory. They're the invisible foundation making modern AI possible. #VectorDatabases #AI #MachineLearning #DeepTech #DataScience #Veebase0
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