Avaloq
Buying intent
72 tracked signals | Top 15 topics are below | Engineering and Operations are carrying most of it.
Attention by team
LinkedIn activity, by teamWhere Avaloq's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.
Topics being researched
30-day windowEvery tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.
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Need intent for a specific topic or industry?
We track the full taxonomy across every account in the graph — including themes not shown on this page.
Who's active at Avaloq
verified title on fileTitles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.
See everyone, not just the first 10
17 people across every department at Avaloq, plus a LinkedIn profile link for each.
Primary products / business lines
LinkedIn company profileAvaloq is a premium provider of front-to-back software and services for over 170 financial institutions around the world. Our clients include private banks, wealth managers and investment managers, as well as retail banks. We develop software that can be deployed flexibly through cloud-based Software as a Service (SaaS) or on-premises, and we offer Banking Operations outsourcing through our Busine
New capability sought
Employee posts (LinkedIn)HashiCorp Terraform; Infrastructure as code (IaC); Key Account Management; Kubernetes; Software-Defined Infrastructure
Top accounts researching Avaloq
names withheld on the public pageThese are companies whose own people brought up Avaloq unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.
129,094 companies · 649,540 people are researching Artificial Intelligence
Avaloq's own team shows 11 signals on this topic. No one outside Avaloq has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.
- Wealth Management7,266 cos · 27,761 people
- Hiring66,174 cos · 318,882 people
Buyer profile
company size · seniorityCompany size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.
Buying committee functions
Employee job titles (LinkedIn)Engineering — 6 people; Operations — 2 people; Product — 1 person; Marketing — 1 person; HR / Talent — 1 person; IT — 1 person
What's been said
public posts by Avaloq's teamNo public post naming Avaloq has surfaced in the past year, so this is what Avaloq's own team is posting about publicly — their topics, in their words.
I just earned my certification in Mastering Sales: The Digital and AI Toolkit for Success from Kellogg Executive Education ! This program was transformative because it replaces accidental success with deliberate discipline. I’ve sharpened my approach to strategic partnerships by using structured frameworks that ensure every interaction is high-impact and outcome-driven. By systematizing my preparation and mastering strategic inquiry, I now deliver a consistent, future-ready brand promise that my partners and clients can rely on every time. A sincere thank you to Craig Wortmann for the world-class frameworks, and to Katie C. Kelley and Richard Elliott for their exceptional leadership and guidance throughout this journey. #KelloggExecutiveEducation #SalesExcellence #StrategicPartnerships #Leadership #ContinuousLearning
May 2026For months I thought AI models and AI agents were the same thing. They're not. ❌ Here's the difference — explained the way I wish someone had explained it to me. A model is the trained neural network. Claude Opus 4.7. GPT-5. Gemini. Text in, text out. That's it. It can reason, but it can't *do* anything in the world. An agent is a system built around the model. It adds three things: → Tools — file access, code execution, MCP servers, APIs → A loop — observe results, decide next step, act again → Autonomy — pursue a goal across multiple steps The model is the brain. The agent is the brain plus hands, eyes, and the loop that connects them. Concrete example I work with daily: Claude Code is an agent. When my /tdd command runs, the model (Opus or Sonnet) makes the decisions. The agent reads files, runs tests, edits code, sees what failed, tries again. The same model can power a chatbot or Claude Code. The difference is everything around the model — not the model itself. If you're new to this, here's the framing that I keep in mind: Model = reasoning engine. Agent = reasoning engine + tools + loop + autonomy. #ai #claudecode #agenticworkflow
May 2026I'm attending APTITUDE Connect in Berlin on 20–21 April, 2026. Over two days, experts, public institutions, and private organisations from 11 EU Member States and Ukraine come together to review six months of progress and shape the road ahead. Aptitude is a European Large-Scale Pilot co-funded by the European Union, working to test and deploy the EU Digital Identity Wallet in real-life conditions across Europe. The project covers four use cases: Digital Travel Credentials, Tickets & Check-in, Mobile Vehicle Registration Certificate, and Payments & Banking. Learn more: https://lnkd.in/dJ5Ywqf6 #AptitudeEU #EUDIW #EUDigitalIdentityWallet #DigitalEurope
Apr 2026While using AI tools such as claude by Anthropic specially when just starting up we generally hit a wall for not getting appropriate results. The reason is almost always the same: the prompt and the CLAUDE.md are too generic. Claude isn't a mind reader. It behaves like a human, but it isn't one. Vibes don't scale. Five things that fixed it for me: 1. Be specific. Not "refactor this" — "extract the retry logic into its own class, keep the public API unchanged." 2. Don't assume shared context. Spell out the stack, the constraints, the non-goals. 3. Break big tasks into small ones. One PR's worth of work per prompt, not one sprint's worth. 4. Tell the agent to ask questions on critical tasks instead of assuming. 5. Clear the context between tasks. A stale context window will bloat the focus and accuracy. None of this is magic. It's just writing down what you'd do yourself manually on day one. Follow Boris Cherny for insider tips. #claude #ai #agenticworkflow
Apr 2026The hardest skill as a software engineer isn't Java, Spring, DSA, or even AI. It's figuring out what to learn next — and in what order. I spent 2 months stuck on this. Tutorials that went nowhere. Roadmaps that assumed I already knew the thing I was trying to learn. Playlists that skipped the fundamentals and jumped straight to Kafka. The best path is to just stop collecting resources. Pick one topic, go deep, ship something small, and move on to the next. Here's the HLD starter list I wish someone had handed me on day one, and an youtube resource : https://lnkd.in/g5PpbRRn #java #hld #systemdesign
Apr 2026Proof that great conversations and champagne make a powerful combination! Really lovely to see so many people join us for the Evooq x Backbase evening at Convival Champagne Bar. A heartfelt thanks to everyone who came along. The conversations, the atmosphere, and the mix of familiar and new faces made it a very special evening.
Apr 2026We recently kicked off our campaign “Care for a Cuppa” ☕️ We hosted one in the office today! It was a great opportunity to bring people together, start conversations, and highlight the importance of taking a moment to check in with one another. A special mention to Kirsty for bringing along Hettie, officially the cutest guest of the day. If you’re thinking about getting involved, sign up for your own Care for a Cuppa here: https://lnkd.in/ePVGsDJH , every cuppa helps support hospice care and makes a real difference for people and families who need it most.💙
Apr 2026