Jay Singh

CEO @ Casper Studios | Ex-Linkedin: We help companies adopt AI and build AI-powered products.

I am a co-founder of Casper Studios, a product studio that develops and integrates AI solutions for companies. I previously was a business development and strategic partnership manager at LinkedIn. With over eight years of experience in these fields, I have a track record of creating value for customers, partners, and stakeholders.

At LinkedIn, I have helped lead the global expansion of identity verification capabilities to key markets, such as India, Europe, and LATAM, enabling over 80 million members to access trusted and secure services. I have also driven 20+ partnerships with leading companies and governments, such as Clear, DigiLocker, and Hyperverge, to enhance the user experience and the network effect of the verification project . 

At Casper, I have leveraged my expertise in AI and product development to create a popular chrome extension that assists users in content creation and summarization, attracting over 20,000 users in less than six months. I have also generated $x00,000s of revenue by offering tailored strategy consulting, product development, and design services to other businesses that want to integrate and leverage AI.

I am passionate about making products accessible, efficient, and user-friendly, and empowering people and businesses to unlock their full potential through technology. I have a strong background in trust, verification, and HR tech, and a keen interest in entrepreneurship and innovation. Outside of my work, I invest time in supporting the AAPI community, love meditating, and dancing with my friends.

Co-Founder & CEO

With a team of experts from LinkedIn and Microsoft, we help companies integrate AI into their workflows, from strategy and prototyping to complete product development.

Schedule a call with us to see how we can help.

Great article from Gergely Orosz. Below is an excerpt from a convo with the CTO of Atlassian on how he had to go buy his own laptop just to play around with new AI tools!

That’s kind of wild.

If even senior leaders have to jump through hoops from their own IT teams to experiment, something’s off. Big companies need a different procurement mode otherwise they won’t move fast enough to adopt these tools.

Jay Singh 

CEO @ Casper Studios 👻 | Ex-Linkedin: We help companies implement AI

Built a fun automation that I think will help us close an additional $5-10m in revenue over the next year or two... Here's what we did in in a few hours:
1.) Exported my LinkedIn connections
2.) Uploaded it into Cursor with Claude Code
3.) Asked to filter those folks by our ICP in Cursor
4.) Ran each person and company through a research query (who they are, what problems they're solving, what their peers are doing in AI)
5.) Connected that it to our Google Drive case studies + Fireflies meeting transcripts via MCP

The output? A personalized note for each person....

"Hey Jay, looks like we've been connected for a while. We've already helped companies like yours with [specific use case]. Here are a couple case studies. Happy to trade notes on AI if you'd like :)"

I'll likely still massage the messaging. But this is so powerful.

We were in Indianapolis last week for the annual Damar Gala. They’re one of lovely clients. They welcomed us with such warm arms. It was an incredible experience!

We’ve been working with Damar Services, Inc., a nonprofit that supports children and adults with autism and developmental disabilities, to layer AI into parts of their organization. 

The project itself has been incredibly rewarding. The people there are so thoughtful and mission-driven. It’s been an absolute pleasure getting to know them. Ryan Kurt thank you for the introduction.  

We even got to see John Mulaney who performed at the Gala, which was wild!

Thank you so much to Jim, Jenny, Donnie, Tammy, and the rest of the team for welcoming us to the city. 

Really excited about the partnership ahead :)

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The AI Healthcare Conference today was one of the best I’ve attended in years. Kudos to Shaper Capital, Protege, and Fractional AI for hosting. 

Wrapped up the day of energizing conversations with a keynote from Vinod Khosla.

Attending an event at Harvard Business School this week in Boston. All about AI implementation in the enterprise. Part of the pre-work was reading a case.

Never went to business school, so moments like this feel pretty cool. That’s also after a few meetings with $20B+ funds in Chicago to kick off work with them.

If you told Jay 10 years ago these are the weeks he’d be having, he’d probably say: “Yeah… your life is pretty freaking awesome.”

Grateful that Casper has become a vehicle for me to connect with and learn from so many incredible people.

Max is one of our tech leads. He’s also become a bit of a celebrity in the San Diego AI scene 💫 

He’s been hosting a number of evente, some directly in partnership with Anthropic. 

The early vibes and format that Max and the team experimented with is now getting formalized and rolled out more broadly under the name Claude Impact Labs, which Max will be hosting its first one next Saturday. 

If you’re in SD comment below and I’ll share the link + connect you with Max :)

We spend so much time chasing strangers for sales. I think there's millions in revenue through the people we know. We built an agent that runs our LinkedIn connections against our ICP and bubbles up the ones that matter.

When we posted about this last week we had so much interest that we had our intern, Shaan, turn it into a simple tool you can use.

How it works:
1.) You land on the homepage. It walks you to LinkedIn to export your connections (takes ~10–20 mins).

2.) Upload the CSV back into the tool.

3.) Define your ICP. I usually just dictate it — “NYC fund managers, $1B–$10B AUM,” etc.

4.) It runs through an LLM and surfaces the people in your network who match.

5.) You can click in, research deeper, generate a message, and reach out.

That’s it. It’s free for now. We’re basically burning through Shaan’s monthly token allocation and seeing what breaks lol.

If this would be useful, comment LinkedIn ICP and I’ll send it over. We’ll probably cap it at 10ish people while we test this out!

We’ve bootstrapped Casper to work with >20 concurrent clients through inbound leads, partnerships and founder led sales in ~2 years. 

We’ve built a lot of automations to help the business grow and to allow myself and Derek to only be spending time with clients. 

Now we’re looking for a GTM Engineer to take ownership of those systems and continue building them out and allow us to keep scaling the business. 

The right person has already been experimenting with tools like Claude, understands GTM infrastructure (CRM, automations, outbound systems), and can translate these new workflows into systems.

https://lnkd.in/gEAHCZ_q

Yesterday I spoke at the The AI Lab Community meeting with Ryan Kurt and Alex Lieberman on how to implement AI into enterprises for GTM / sales.

One thing I walked through: how we have automated our own entire go-to-market flow at Casper Studios. Works across three key steps: 1.) finding a lead, 2.) closing a lead, and 3.) starting the client engagement. 

None of this required a dev team (but may be faster if you involve them). Just Claude and your existing data. Let me know if you have any questions - happy to walk you through any part of this.

Comment below if you have any q's and I'll answer them!

Across the board, last week was the busiest I’ve seen for AI services partners in the last few years. Inbound was up everywhere.

Something seemed to flip. Maybe public market noise? Maybe board pressure? Hard to pinpoint.

But everyone is locked in right now. It’s inspiring to observe in our own company and our partners companies. 

Really does feel like a once in a lifetime moment. We’re excited to be in the middle of it.

All the major labs are partnering with MBB and Big 4 which makes sense. There's plenty of room for smaller firms (like Casper Studios hehe) too.

We're in conversations with some of these larger AI firms about partnering. We're also starting to subcontract under the GSIs because the supply of talent that knows how to implement AI is still tight. 

Lots of room to grow here. Lots of room to partner with the whole ecosystem to help implement AI into the economy. 

On that note - we're hiring FDEs and PMs. Drop a comment below if you're interested and we'll do our best to reach out :)

Our team just made some big upgrades to the site. We added 5+ new client case studies, tightened up how we describe our offerings, and secured casperstudios.com instead of the .xyz.

It feels like a real step forward :)

The main insight on how we already working with large F1000s? We're getting procured through their consulting firm of record; the one that’s been working with them for 10+ years. We join their team, and they deploy us to their larger clients.

This helps in several ways. We can move faster to provide value to clients. We can also provide value to the consulting or agency of record by teaching them how to use AI faster. And then when the trust is high, we can cross-sell into other clients they have in their portfolio.

This is where the BD and partnership chops really come in handy. It’s also why I don’t really think, at least today, anyone is a “competitor.” Show me a competitor and I’ll tell you how we can support each other and grow both of our businesses. 

Our GTM strategy for the next 2-3 years is literally to be best friends with everyone.

“I feel like everyone’s working on Saturdays now.” – me. Ria’s response: “I think that’s because everyone’s having more fun with their work now.”

She’s right. Texts, Slack messages, emails, LinkedIn DMs, they don’t stop on weekends anymore. The dialogue is more expansive than during the week. 

It can be intense. Take the breaks when you need them.

But 90% of the time? It’s just super exciting.

Was speaking with a PE friend who's exploring buying a traditional SaaS business for $5m-$10m with plans to "AI-ify" it. My honest (and tbh biased) take: just rebuild it from scratch with AI instead.

Work with that team, understand the workflows they offered to clients deeply, and give them a piece of the company to go on that ride with you. 

It's a harder sell emotionally (but what about all the work I've done over the past 5+ yrs...), but retrofitting AI onto an existing business is slower than starting from first principles and asking "what would this look like if AI was at the core from day one?

We help companies with both, and honestly enjoy both. But if you have a choice, and the business is still relatively small (< $10m ARR), only SaaS oriented (I think services is a different for a few reasons I’ll unpack later) the difference in velocity and change management effort is so significant that starting from scratch might just be the smarter move.

**Editing Post With More Nuance:
Had a nice sleep, reflected on this, and wanted to share a few more thoughts.

The nuance I would include is this: if this buyer is able to bring alongside some members of team that built the product, including several key relationships with the clients with them - esp the ones looking for AI-first capabilities (some may even be exploring AI first competitors), then it becomes more relevant to do. 

My POV on this is being driven by a few of our own clients. 

Ie they were leaders in a company in a certain space. Some of them have made the decision to step out, rebuild, bring a few of the clients with them, and finding success. There’s legal hurdles depending on the industry you’d have to be wary of here too. 

Both can be successful here! I think for even the companies <$10m that want to implement AI I’m pushing them to think about ways to rebuild from scratch in some corner of the company, to experiment, unencumbered by the procurement process of onboarding tools, by older ways of thinking, then try to push those features after into the product. 

Happy to be wrong on this too :)

You've bought a bajillion AI tools. Some work. Most don't work well together. Now you're sitting on a stack of point solutions. Each solves one narrow problem but creates a new coordination problem every time you add another.

The next few months? Consolidation. Right now, all roads lead to Claude (Chat, Cowork, Code).

Let me explain.

Product designers have this concept called the Double Diamond. Start at a single point. Expand outward, explore the full problem space. Converge back to a focused insight. Expand again into solutions. Converge on the real answer. It's a framework for how complexity works - you start simple, things get messy, then they consolidate. Over and over.

Platforms follow the same pattern. Craigslist had everything in one place. Jobs, apartments, dating, rides, furniture. All on one ugly beautiful website. Then each category unbundled into its own billion-dollar company. Airbnb took rentals. Uber took rides. Tinder took dating. LinkedIn took jobs. One platform became dozens of specialized ones. That's the first expansion. Over time, those companies get huge and split apart again.

AI is in the same motion.

Two years ago every company started at the same point: "I need AI." That turned into a spending spree. A writing tool here. A coding copilot there. Legal AI. Sales chatbots. Meeting summarizers. Healthcare AI. Fraud detection. Supply chain optimization. Image generation. Customer service automation. 

Workflow tools. So many tools.

That's where we've been. The widest point of the diamond.

Now the conversation is shifting. Especially with F100s. They don't need more tools. They need help converging. Redesigning systems. Taking those early bets and building an ecosystem that actually works together.

Where it goes after that is the next diamond. Nobody knows how wide it opens.
But sitting across 20+ engagements right now, the pattern is clear: the value isn't the tool anymore. It's how the system is designed. That's why we don't care which AI tool you use. We care about designing the system that makes it all work.

This is where the work lives for the next 12 months. It's hard. It's change management. It requires hand-holding, time in person, trusted relationships.

We're here for all of it.

Companies are still underestimating LinkedIn for sales and talent acquisition. At Casper Studios, we’ve had 10+ teammates to create content. The velocity of new and repeat business is increasing. Higher-quality talent keeps reaching out.

All content is high quality. It has to clear our bar. Beyond that, the team has real freedom in how they show up and what they talk about. It works way better when it actually feels like them.

Behind the scenes, we have agents running that:
-Extract insights from our meeting transcripts
-Monitor competitive research to see what people are talking about
-Flag risks, tighten language, and make small improvements (we still miss things like we did today on one, but it gets better every week)
-Bonus: As things get more complex, you can use these to also reach to our audience. We’ve been leaning into that more recently

None of this works if the founder or CEO isn’t leading. You can’t just tell your team to “do AI” and expect it to happen. You can’t just tell your team to “do content” and expect it to happen.

Those are now core parts of the job.

Once you start, something interesting happens. The team has fun with it. They get inbound for their time. They meet sharp people. They share what they’re building for on platform and internally.

And once that starts, you feel the pull of the platform and it's addictive. 

If you want the suite of agents powering this, comment below. If there’s enough interest, we’ll work to externalize them

Chatted with 5+ PE funds this week.  I think some of them that want AI implemented across their fund/portfolios may decide it’s easier to buy that business rather than hire it repeatedly. Let me explain...

Right now it still feels early. Most funds are exploring. Portfolio companies have bought tools, but very little has actually been implemented across the organization. Those I’m speaking with all seem slightly unclear where to begin, what to prioritize, which portfolio companies to focus on first, and what the right timeline for implementation should be.

We're starting to partner with many of these funds to help them to answer these questions. 

Here's a scenario that came to mind...
Imagine acquiring an AI services firm at 6–10× EBITDA. The firm keeps operating normally, selling to external clients and growing through its own GTM channels.

But the PE fund now has access to implementation capacity. When portfolio companies start AI projects, the firm gets introduced as a potential partner.

Even if only a few portfolio companies become customers, it creates a baseline layer of demand while the firm continues to grow independently in the market. The costs that would otherwise leave the portfolio would be retained.

If AI deployment improves EBITDA across even a few portfolio companies, the return on the acquisition can exceed the purchase price of the services firm itself.

When we worked on the Netflix project with Omnicom, they were thinking about it the same way. Omnicom had previously acquired a technology agency to build internal capacity for technical development, so they could support more complex builds directly for their clients.

From the fund’s perspective, the acquisition becomes two things at once:
1.) an operating capability that can help portfolio companies (and the fund) move faster on AI
2.) a standalone services business that continues compounding

Whether this becomes a common strategy, still unclear. I'm also honestly learning more about this space myself. Challenge my POV pls!

What do you think?

Excited to be at the AI in Healthcare Summit in SF this Tuesday. Appreciate the invite Chris Taylor and the Fractional AI team. 

Both Chris and the team have been amazing supporters of myself and Casper over the last few years. It’s been incredible to see their growth. 

If you’re in town for the event and attending - let’s connect :)

I’ve been noodling on a piece of short fiction set in SF, 2035. Sharing early thoughts - curious to get your feedback….

The premise: What happens when we finally learn to quiet the voice in our heads (the anxious one, the 3am one, the one Buddhism, meditation and therapy spent millennia trying to quiet) and then replace it with a “better” AI one?

The story follows a guy named Jay (lol) through a single Tuesday. Morning coffee chosen for him based on his cortisol levels and sleep scores. Work meetings where both sides are being coached in real time by their AI. A bike ride over the Golden Gate where the product schedules 90 seconds of silence at the exact moment the ocean view hits. Because it knows that view will move him.

The tension is a mix of utopia and dystopia. That’s what makes this and life generally more interesting to me; especially when our world is so black or white. 

The AI makes his life better by every measurable standard. He’s faster, healthier, better at his job. 

The issue is that he can’t remember the last time he made a decision without it. He doesn’t know if he likes his own coffee. He can’t choose a cereal. The muscle for deciding anything has gone away.

Then his AI goes quiet for an afternoon. There’s a bug. And the world gets louder and messier and harder and more alive than it’s been in years.

He tells his wife. He tells his friends. “I’m feeling naked”. He tries to convince others that they should try turning the voice off too. It’ll be more authentic. Some listen others think he’s a Luddite. 

Sharing this early because I want to pressure test the concept. Does this resonate? What’s missing? Any other themes I should pull on?

Glean

Making the Glean family of products as useful as possible. I focus on AI Quality across our flagship Assistant and Agent products.

Product Management

inVest Ventures

inVest Ventures is a community VC fund supporting pre-seed, seed, & series A startups founded by LinkedIn alumni. With a community of 150+ execs, experts, and founders with LinkedIn ties, inVest Ventures is here to help build the next generation of LinkedIn-founded transformational startups.

Limited Partner

Various Startups

Advising founders on growing their business and building producs - having lots of fun along the way.

I am an investor in Bluebirds (YC W23; sold to Salesforce), Persana (YC W23), Glasp, and Toni and had the pleasure of advising the team at Casper Studios throughout 2023 and 2024.

Advisor & Angel Investor

LinkedIn

Enterprise AI lead for all things customer support, sales development and brand engagement. My team of 40 engineers, designers, and scientists are working towards making LinkedIn more effective for doing business with, at, and on. A few of our products include LinkedIn's Virtual Chat Ecosystem (support & sales), as well as our brand AIs that allow members to chat with their favorite brands in real time. 

Led efforts to enhance the customer support experience and filed two patents on (a) symantic chunking and (b) context-dependent AI Agent tool selection.

Served as interim Group Manager for six months, managing a team of five PMs responsible for the Customer Engagement portfolio and a high-8 figure P&L. Dotted-line managed 3 PMs.

Note: I joined the Product Org as a Chief of Staff in 2020 and left as the Lead IC for our GTM AI platform.

Senior Product Manager: Go-to-market Artificial Intelligence

Moved laterally to work on conversational AI use cases for LinkedIn's GTM teams (pre chatGPT).

Product Manager, Go-to-market Artificial Intelligence

Learning & sharing product management and strategy insights.

Managing Platform products is accredited by the Project Management Institute (https://www.pmi.org/) and awards 1.5 professional development units for course completion.

Instructor, LinkedIn Learning

Expanded LinkedIn's direct-to-consumer SMB sales channel, driving $XXM in incremental revenue. Led end-to-end launches across checkout, billing, identity, and renewals, including deploying ML discounting models that optimized offers and boosted conversions for single-seat & multi-user subscriptions.

Product Manager, Machine Learning

Chief of Staff for the Product Partnership (BD) Organization with more than 100 professionals across the globe. Responsible for all integrations & monetization partnership between LinkedIn and the 3P ecosystem.

Chief of Staff, Product Management

Product analytics for consumer growth team within LinkedIn's sales-tech business.

Global monetization analytics for LinkedIn's e-learning business.

I joined LinkedIn as a member of the 2019 cohort of the Strategy & Analytics program, a 7 person rotational program.

Business Operations

Capital One

Marketing & Analytics: Rewards & Loyalty
--
Led rewards expansion strategy for Capital One focused on third-party loyalty program integrations (e.g. Starbucks Stars, myPanera, United Mileage Plus).

In February 2020, Capital One leveraged my analysis and recommendation to develop a reward point exchange partnership with Wyndham Hotels.

Business Analyst

J.P. Morgan

Analyst

Thanks for stopping by my profile - Zane here writing from the San Francisco Bay Area👋

I'm the Product Manager at Glean covering AI Quality initiatives across our Assistant and Agent products. My role stems from pursuit of my main professional mission: getting the most helpful AI into the hands of as many people as possible.

Previously, I led LinkedIn's GTM AI team, driving $xxxM in P&L impact and saving customers tens of millions of hours by building exceptional GTM experiences with AI Agents at their core (think customer support, sales development, and marketing top-of-funnel). We were also the team that built LinkedIn's first customer-facing, production AI Agent back in 2023. Before that, I was an operator and Chief of Staff for LinkedIn's Business Development & Product Partnerships organization.

On a personal note, I'm Levantine-American, love my family, and am a die-hard Pixar movie fan (especially Coco and Ratatouille). I love to cook, SCUBA dive, cycle, and stay current with my Spotify Release Radar. If anything on my profile interests you, feel free to connect and add a note.

Looking forward to meeting you.

Zane Homsi

This Tuesday, February 17th, we're sharing all the awesome features we've been building into Glean Assistant.

 Everything is focused on one thing: helping you get more done with the time you have. You'll see how Assistant can help you go from idea to output — faster, easier, and with higher quality.

I'll be walking through my own workflow: fuzzy idea → spec → feedback → launch plan. All in one place, all inside Assistant.

Would love to see you there! Link to register is in the comments 👀

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