Zeer Opkey / intent / opkey
Observed, not inferred · updated weekly

Opkey buying intent

5 tracked signals — top 5 topics below — Engineering is carrying most of it.

5signals · 30 days
5topics tracked
60%attributed to a team

Attention by team

taxonomy_intent_rollup × social_profile.role

Every tracked signal from a Opkey employee, placed by the team they sit in and the theme they engaged with. Darker means more concentrated attention.

AI Infrastructure
AI Workload
Artificial Intelligence
Automation Testing
Enterprise Resource Planning (ERP)
Engineering
133% Engineering to AI Infrastructure: 1 signals, 33% of this team's attention
133% Engineering to AI Workload: 1 signals, 33% of this team's attention
133% Engineering to Artificial Intelligence: 1 signals, 33% of this team's attention
00% Engineering to Automation Testing: 0 signals, 0% of this team's attention
00% Engineering to Enterprise Resource Planning (ERP): 0 signals, 0% of this team's attention
Unclassified no dept on file
00% Unclassified to AI Infrastructure: 0 signals, 0% of this team's attention
00% Unclassified to AI Workload: 0 signals, 0% of this team's attention
00% Unclassified to Artificial Intelligence: 0 signals, 0% of this team's attention
150% Unclassified to Automation Testing: 1 signals, 50% of this team's attention
150% Unclassified to Enterprise Resource Planning (ERP): 1 signals, 50% of this team's attention
LowHigh

Topics being researched

30-day window

All tracked topics, ranked by signal volume. Confidence is the classifier's certainty that the signal belongs to this topic.

AI Infrastructure
LinkedIn
High volume
98%
last
10d ago
AI Workload
LinkedIn
High volume
98%
last
10d ago
Artificial Intelligence
LinkedIn
High volume
98%
last
10d ago
Automation Testing
LinkedIn
High volume
98%
last
22d ago
Enterprise Resource Planning (ERP)
LinkedIn
High volume
98%
last
22d ago

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Who to contact at Opkey

verified title on file

People at Opkey whose own activity produced these signals. Names are withheld pending a consent decision; titles, seniority and topic are real and free to browse.

Engineering1 active
llm engineer
researching AI Workload
in
Unclassified1 active
Associate Lead - Delivery
seniorresearching Enterprise Resource Planning (ERP)
in

Top accounts researching Opkey

names withheld on the public page

Companies whose people mention Opkey in their own activity. Account names are withheld here; not yet classified as implementation partner vs. genuine prospective buyer.

Not yet available

No buyer signal yet for this account

Nobody in the graph is currently discussing this company by name in a way we can attribute to a specific employer.

Buyer profile

company size · seniority

How big those accounts are, and who inside them is senior enough to matter. Competitor products still not yet computed for this account.

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Company-size breakdown and buyer seniority mix for accounts researching Opkey.

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Not yet available

No buyer signal yet for this account

Not enough real data was found to build a company-size or seniority breakdown for this account.

What's been said

public posts mentioning Opkey

Real public activity that surfaced Opkey in a tracked topic. Not a sentiment score — just what people actually wrote.

LinkedInArtificial Intelligence

When the OGs of the venture world write an article validating the exact space you've been building in — you stop, you read it twice, jump from your chair and then you share it. Andreessen Horowitz published this article "Why the World Still Runs on SAP" in March (yes I am late in reading it — a lot going on) and honestly? It reads like a brief for why CALM — Cloud Application Lifecycle Management — is going to be one of the most consequential software categories of this decade. The core thesis: enterprises aren't ripping out Oracle, SAP, or Workday. The systems of record stay. What gets rebuilt is the entire layer above them — how you implement, operate, and continuously get value out of these platforms. That's the CALM thesis. That's what we've been building at Opkey. One line from the article hit different: "Every migration artifact becomes living lineage, and every integration deepens the graph of how the enterprise actually runs." That's how we are building Opkey's Data Fabric — the foundational layer that maps your processes, configurations, integrations, and test scenarios into a living, machine-readable picture of your enterprise. And here's our AI thesis: Data Fabric alone isn't enough. The magic happens when you couple it with domain-specific AI models and swarm of specialized AI agents that work across the full lifecycle. Here's my thought: most tools in this space are solving one problem — testing, or documentation, or config management. The only way to truly transform how enterprises implement and run cloud applications is to own the full lifecycle. Define & Design. Intelligent Configuration. Test Automation. Training. Change Management — one platform, not ten tools duct-taped together. Not copilots. Not point tools. The operating system for the cloud application era. At Opkey We started building this when nobody was writing about it. The dream was always to fundamentally disrupt and transform how enterprises implement and maintain their cloud applications — to make "go live on time and update without fear" a reality, not a tagline. Seeing a16z articulate exactly why this matters? That's fuel. Go read the piece — link in comments.

Apr 2026
LinkedInEnterprise Resource Planning (ERP)

Most companies treat testing like insurance or something you buy, forget about, and hope you never need. That's exactly why ERP updates keep breaking production environments. Here's the uncomfortable truth: if testing is an afterthought in your transformation roadmap, you don't have a transformation roadmap. You have a wishlist. Continuous testing isn't a QA team problem. It's a leadership decision about how much downtime, rework, and user frustration your business can absorb, quarter after quarter. The enterprises getting this right aren't throwing more testers at the problem. They're treating testing as infrastructure. Always on. Embedded in every update cycle, every configuration change, every new module rollout. At Opkey, we see this distinction play out constantly. The companies running 30,000+ pre-built test cases across Oracle, SAP, and Workday aren't doing it because they have more resources. They're doing it because their leadership decided testing was a continuity strategy, not a cost center. The ones still treating it as a phase, something you do before go-live and ignore after, are the ones calling us after a critical update breaks payroll or inventory at 2am. Continuous testing doesn't require a massive team. It requires a decision. When did your organization last have a serious leadership conversation about testing as a business continuity lever, not a technical checkbox? #ERP #CIO #DigitalTransformation #TestAutomation #EnterpriseAI #ContinuousTesting #Oracle #Workday #SAP

Apr 2026

About this data. Opkey (opkey.com). Signals derive from taxonomy_intent_rollup joined to social_profile.role. Department attribution is 60%; the remainder is shown honestly as its own Unclassified row rather than hidden. Updated 2026-08-24T04:00:02.375Z.

Not yet computedPer-team narrative summaries