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Scalestack
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Scalestack
@ScalestackAI
The autonomous context layer between your database and execution. Enriched, governed, AI-ready data for the enterprise.
NYC Katılım Nisan 2023
103 Takip Edilen40 Takipçiler
Going AI-first in your product is table stakes.
Even if two companies ship the exact same thing, the one that rebuilt how every department works will run leaner, price lower, and move faster than the one that didn't.
⭐️As @yonitseru, CEO and co-founder at @LushaData puts it, the product is the ticket. Operations are how you win.
Watch the full episode here: scalestack.ai/blog/data-foun…
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Scalestack retweetledi
If you're working on building a GTM system or scaling modern RevOps, you won't want to miss this conversation.
@yonitseru shares his insights with @elius on @ScalestackAI 's Revenue Engine Masters podcast, offering a deep dive into the future of revenue intelligence, GTM trends, agentic workflows, and what you need to do to win now.
👇 Watch the full episode here:
scalestack.pulse.ly/octbjxxu5y
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"We needed a better way to understand and prioritize international opportunities, without increasing the operational burden." - Sanda Sava, Global Ops Manager at StepstoneGroup on why they partnered with Scalestack.
❌ Before: manual research, fragmented data
✅ After: 40K+ job boards analyzed, €100K+ revenue influenced
Watch the walkthrough here: youtube.com/watch?v=GANE7u…
Read the complete case study 👉scalestack.ai/blog/stepstone…
YouTube
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🔓 Will open source AI replace proprietary models?
Anthony Annunziata, Director of AI Open Innovation at @IBMData, makes the case with a parallel that's hard to argue with: @Linux. Once controversial. Now it runs every major cloud, and nobody even talks about it anymore.
That's where open source AI is heading. Not a movement. A layer underneath everything.
🎬 youtube.com/shorts/eqHlh_B…
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Turns out the smartest bet isn't a platform. It's not being locked into one. (3/3)
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The leaders in the room weren't asking "what's the best platform." They were asking something harder: how do I build my operations so they don't fall apart the next time the ground shifts? (2/3)
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We hosted a dinner with @CaptivateTalent to get a group of RevOps leaders in one room and talk about what's actually moving the needle in their operations.
No matter the company size, everyone landed on the same tension: betting your whole stack on a single platform is risky when LLMs keep moving this fast. (1/3)
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⚠️ "You don't really know if it works until you build it and ship it. It doesn't work until someone else uses it, trusts it, and pays for it." - Anthony Annunziata, Director of AI Open Innovation at @IBM.
His take: In business, a demo means nothing and the ones that think their pilot proves something are mostly relying on the model to carry them.
The hard part was never the discovery. It was always the ship.
Full podcast episode fo the #RevenueEngineMasters by #Scalestack here: scalestack.ai/blog/ibm-open-…
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#TheStepstoneGroup came to us with a problem we love solving: they had found a signal that predicts high-value prospects, but couldn't scale the research to act on it.
So we built an intelligence layer. AI workflows that analyze 40K+ career pages, identify growth signals, and surface qualified decision-makers. All from publicly available data.
💶 €000k+ revenue influenced
🎯 10,000+ qualified leads discovered
⚡ Weeks → hours
Read the full case study here: scalestack.ai/blog/stepstone…
#Scalestack #AIworkflows #orchestration
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🗽Next week we're co-hosting a dinner with @CaptivateTalent in NYC for 15 RevOps leaders to talk about what keeps coming up everywhere we go: AI is only as good as the data behind it. And most GTM stacks aren't there yet.
No keynotes, no pitches. Just peers exchanging notes.
If you're based in NYC and this sounds like your kind of evening, register here: luma.com/tef6gsvc
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"It's so easy for AI systems to learn from your prompts, your data, your workflow patterns. If you're not careful, you're going to transfer your proprietary differentiation to a tech company very quickly."
Dr. Anthony Annunziata, Director of AI Open Innovation at @IBM, talks with @elius in the latest episode of the Revenue Engine Masters podcast.
Demoing an agent is trivial. Shipping one to production is the hard part. And the model isn't your edge anymore. Your data is. Where you deploy it is. How you protect it is.
New episode out now. 🎧 Listen now: scalestack.ai/blog/ibm-open-…
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On June 4th, @ScalestackAI takes the stage at the European Innovation Summit during NY @Techweek_ .
13 startups. $120M+ raised between them. One stage in front of investors, operators, and the people actually moving European tech forward.
See you in New York. 🇪🇺🇺🇸
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@ScalestackAI and @CaptivateTalent are getting a small group of RevOps leaders together in NYC on June 11th, to talk about how software is moving from supporting work to taking on work.
No slides, no pitches. Just dinner, wine, and peers sharing battle stories and good practices.
👉 If you're in, grab a spot here: luma.com/tef6gsvc
#Scalestack #CaptivateTalent #RevOpsInfrastructure
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@ScalestackAI @Lusha "Zero visibility until the bill hits" is basically the tagline for half the ops surprises we see. By the time you see the number, the damage is done.
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Your RevOps team burns through data credits every month with zero visibility until the bill hits. That's not automation. That's a leak
@ScalestackAI + @Lusha = real-time credit visibility + waterfall optimization
Learn more: scalestack.ai/scalestack-lus…
#DataOrchestration #AIInfrastructure #RevOps #EnterpriseAI #DataEnrichment
Lusha@LushaData
Today, we're partnering with @ScalestackAI to combine AI agents, APIs, and intelligent integrations into a single agentic workflow engine built for enterprise scale. Lusha has two data layers: The first offering verified B2B data across 300M+ profiles and 40M+ companies, and the deep intel data layer shaped by your business, your ICP, your signals, your patterns, that gets sharper over time.pulse.ly/ccrh0snmsc buying signals. 98% email deliverability. GDPR, CCPA, ISO 27701, and SOC 2 Type II compliant by default. Data you can build on. Scalestack brings the orchestration: AI agents that enrich records and coordinate across multiple data sources (including Lusha), apply custom ICP logic, deduplicate at scale, route leads intelligently, and keep workflows running autonomously. For GTME / RevOps teams, this partnership means: ✔ Use Lusha credits directly in Scalestack’s workflows ✔ Real-time visibility into consumption ✔ Waterfall logic that optimizes cost automatically ✔ AI agents that coordinate enrichment across 60+ sources Most platforms force you to choose between automation and control. This one gives you both. Learn more about the Lusha x Scalestack partnership: lusha.pulse.ly/kg25jwr6ii
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Scalestack retweetledi
@scalestack is going to Paris.
We made the Finals of The Pitch by @deel , the world's largest global startup pitch competition.
The argument that got us there: #AI doesn't fix bad data. It weaponizes it.
We've been hearing everywhere that 90%+ of AI pilots fail, but the missing piece isn't another AI tool. It's the autonomous infrastructure layer between data and activation. Where agents execute and humans govern.
That's exactly what Scalestack brings, an #Autonomous #Infrastructure for Enterprise.
See you in Paris. 🙌
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The #SaaSpocalypse isn't about #SaaS dying. It's about what survives when agents can execute the workflow underneath it.
Our CEO @elius is joining the panel organized by @RightSideCapVC during @saastr 2026 this week to dig into exactly this: what the SaaSpocalypse means for your company, your fundraise, and your exit.
🤖 Because as more agents get deployed inside organizations, the question isn't "what can they do?" It's "what should they be allowed to do, and who controls that?"
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