Valiantys
Buying intent
23 tracked signals | Top 15 topics are below | Marketing and Sales are carrying most of it.
Attention by team
LinkedIn activity, by teamWhere Valiantys'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 Valiantys
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.
Primary products / business lines
LinkedIn company profileValiantys transforms how organizations work by delivering expert solutions for engineering productivity and enterprise service management. We partner with leaders to turn ambition into execution, aligning strategy, operating models, people, processes, and technology to deliver meaningful business outcomes. Our work combines transformation consulting with practical AI strategy and orchestration, he
Top accounts researching Valiantys
names withheld on the public pageThese are companies whose own people brought up Valiantys 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
Valiantys's own team shows 5 signals on this topic. No one outside Valiantys has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.
- Customer Relationship Management (CRM)15,165 cos · 48,159 people
- Computer Science5,545 cos · 25,983 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)Sales — 4 people; Engineering — 1 person; Operations — 1 person; Marketing — 1 person
What's been said
public posts by Valiantys's teamNo public post naming Valiantys has surfaced in the past year, so this is what Valiantys's own team is posting about publicly — their topics, in their words.
Is your organisation built to transform? Every year, enterprises pour billions into transformation programmes that deliver exactly what was asked — and change almost nothing. The tools get deployed. The processes get redesigned. The steering committee signs off. And six months later, the organisation runs the same way it did before. Just on newer software. I've watched this cycle for twenty years. Same structural outcome, every time. Everyone I work with has a strategy for change. Almost no one has a structure that can sustain it. That's where it breaks. We keep building transformation on top of operating models that were designed to resist change. And AI has made sure that model is never coming back. It doesn't land once and stabilise. It evolves continuously — reshaping roles, decision rights, and entire operating models faster than any steering committee can meet. You cannot scope what changes faster than you can govern it. You cannot hand over what never stops moving. Continuous transformation is not a philosophy. It's an engineering problem. And it requires three structural answers: Operating model — boundaries around value streams, not departments. Teams built to carry the next change, not recover from the last one. Unified tooling — one continuous flow of work. Not two parallel worlds with a handover document bridging the gap. Continuous governance — portfolio-level sensing, live, not periodic. Investment decisions that flex with reality. I've never seen a transformation fail because the strategy was wrong. I've seen dozens fail because the structure couldn't carry it. I wrote a longer piece exploring this — the AI disruption angle, why the project/run divide is dead, and three diagnostic questions for CIOs, CFOs, and COOs. Link in the first comment. Transformation is not a project. It's a capability. And AI has made sure of that. #ContinuousTransformation #OperatingModel #AITransformation #EnterpriseArchitecture #DigitalTransformation
May 2026