Frontier is a new type of AI-native analyst firm for CIOs and technology leaders — made equally of deeply experienced humans and machine-scale intelligence.
Judgment paired with scale.
Intelligence that takes the form you need.
Small, selective, deeply experienced.
A different operating model
Frontier starts from a different assumption: AI changes not only what technology leaders need to understand, but how serious research should be created, packaged, distributed, and put to work.
Frontier concentrates on the technology shifts that are changing enterprise operating models now — AI, agents, infrastructure, software, data, cybersecurity, architecture, and the evolving CIO mandate. We go where the consequences are largest and the answers are still forming.
Frontier is built around a new division of labor. Deeply experienced analysts provide judgment, context, skepticism, relationships, and accountability. AI expands the field of view: monitoring, connecting evidence, testing hypotheses, modeling scenarios, and making the resulting intelligence dramatically easier to use.
A Frontier report is not the end state of the research. It is one rendering of a deeper body of structured intelligence. The same evidence can become a full report, a custom executive brief, a board presentation, a data extract, or governed machine-readable intelligence that flows directly into enterprise applications and AI agents. Clients should not have to consume research in the form we happened to publish it.
Frontier is assembling a closely-held network of exceptional senior analysts rather than a large hierarchy. The model is intentionally selective: world-class specialists with real operating context, connected by a common research system and amplified by AI.
Frontier is building research as living intelligence: structured, traceable, adaptable, and designed to move cleanly from human reading into the systems where decisions are actually made.
Closely held by design
Frontier is being built around a compact network of leading analysts with deep domain authority. Every person should materially expand the firm's field of view.
Dion Hinchcliffe is a veteran technology strategist and industry analyst with more than 25 years at the intersection of enterprise technology, digital transformation, CIO leadership, and emerging technology. He has built and led research practices, advised senior technology executives, authored widely read analysis, and served in public-company governance.
At Frontier, he leads the research agenda, the analyst network, and the design of an AI-native research model intended to make high-quality analysis more useful, adaptable, and operational inside the enterprise.
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Steve Mann is a four-time CMO, P&L leader and expert technology and business strategist with more than 25 years of experience across enterprise software, marketing, customer experience, and emerging technology. He has held senior leadership roles at SAP, LexisNexis, and multiple PE- and VC-backed startups, working across product strategy, product marketing, and go-to-market execution.
At Frontier, he examines how AI and changing enterprise technology markets reshape customer relationships, business strategy, and the decisions facing technology and business leaders. His work brings an operator's perspective to the intersection of technology, markets, and organizational change.
We are deliberately building the network slowly. These are the next senior roles Frontier expects to add.
Build the commercial engine around research subscriptions, data, licensing, reprints, strategic partnerships, and the new products Frontier's research model makes possible.
Lead Frontier's research into AI operating models, governance, risk, compliance, and deployment across heavily regulated industries.
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