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Highwire Launches AcroIntelligence, a Large Media Model for Competitive Intel

Highwire's AcroIntelligence is a Large Media Model that turns earned coverage, social data, and competitor activity into early-warning narrative intelligence.

5 min readPublished 2026-07-01

What happened

On June 30, 2026, communications firm Highwire launched AcroIntelligence, a platform built on what the company calls a proprietary Large Media Model (LMM). Positioned as a single AI-powered system to translate complex media signals into strategic, measurable action, AcroIntelligence is designed to help companies identify emerging narratives, understand competitive shifts, and make faster, better-informed decisions.

At its core, the LMM is described as a continuously learning intelligence layer that synthesizes earned coverage, social data, analyst commentary, and competitive activity into a structured understanding of how narratives emerge, spread, and influence stakeholders. Rather than delivering another undifferentiated media feed, Highwire frames the model as a way to isolate what matters from the noise and surface it before it becomes mainstream conversation. The platform's stated feature set includes custom intelligence briefings, narrative and market analysis, deep dives into media behavior insights, and early-warning and opportunity alerts aimed at C-suite leaders, boards, communicators, and marketing teams.

AcroIntelligence builds on AcroAI, Highwire's agentic AI platform launched in April 2026, which lets users ask plain-language questions about competitors, coverage trends, messaging patterns, or market narratives and receive answers grounded in the continuously updated Large Media Model. "There is a dangerous assumption that more data automatically produces better visibility. The opposite is often true," said Carol Carrubba, Co-founder and President of Highwire. "An endless feed of information can make it difficult to isolate and prioritize fresh trends, let alone get ahead of opportunities or risks that demand attention. AcroIntelligence was designed to simplify this level of complexity."

Why it matters for practitioners

The launch is a notable attempt to package narrative and media analysis as a first-class competitive intelligence discipline rather than a downstream PR reporting function. For CI and communications teams, the "Large Media Model" framing is worth taking seriously as a category signal, even where the underlying capabilities overlap with existing media monitoring and social listening tools.

1. Narrative is being treated as a competitive signal, not just coverage volume. Traditional media monitoring counts mentions and scores sentiment after the fact. AcroIntelligence's pitch is to detect how a story is forming across earned coverage, analyst commentary, and social conversation while it is still weak — turning ambient chatter into market signals a team can act on. For practitioners, the value test is whether the model surfaces genuinely early, decision-grade alerts rather than restating what already trended.

2. The C-suite is the intended consumer. By aiming custom briefings and early-warning alerts at boards and executives, Highwire is positioning narrative intelligence as an input to strategy and brand positioning, not merely a comms deliverable. That elevates the stakes on accuracy and interpretation: when an alert reaches the CEO, the cost of a false positive or a misread narrative is higher than a routine coverage report.

3. Plain-language querying lowers the analyst bottleneck. The AcroAI layer lets non-specialists interrogate competitor messaging and coverage trends directly. For teams looking at how to automate competitive intelligence, this is the recurring pattern of 2026 — intelligence delivered conversationally, in the flow of work, rather than through a static dashboard that only a dedicated analyst opens.

Key details

  • Announcement date: June 30, 2026
  • Vendor: Highwire, a communications and marketing firm
  • Product: AcroIntelligence, built on a proprietary Large Media Model (LMM)
  • Underlying platform: AcroAI, Highwire's agentic AI platform (launched April 2026), used for plain-language querying
  • Data ingested: Earned media coverage, social data, analyst commentary, and competitor activity
  • Stated features: Custom intelligence briefings; narrative and market analysis; media behavior deep dives; early-warning and opportunity alerts
  • Target users: C-suite executives, boards, communicators, and marketing teams
  • Executive quote: Carol Carrubba, Co-founder and President, on the gap between data volume and real visibility

Market implications

AcroIntelligence lands in a market where intelligence vendors across categories are racing to reposition data as an AI-grounded layer rather than a feed. The "Large Media Model" branding deliberately echoes the large-language-model framing that has defined the year, staking a claim to a media- and narrative-specific model as a defensible asset. Whether that framing holds up depends on the depth and freshness of the coverage graph underneath it — a media model is only as useful as the sources it continuously ingests and how well it separates signal from noise.

For competitive intelligence leaders, the practical question is where a narrative-intelligence tool sits alongside the sales- and market-intelligence platforms already in the stack. AcroIntelligence targets the perception and narrative layer — how competitors are being covered and how stories move — which is complementary to product, pricing, and win-loss intelligence rather than a replacement for it. Teams evaluating it should map it against existing media monitoring and social listening spend and press on what the LMM adds beyond faster summarization.

The broader read is that comms and CI are converging. As executives increasingly expect a single, synthesized view of competitive and narrative risk, vendors that can credibly fuse earned coverage, analyst sentiment, and competitor activity into early warnings will have a claim on budget that once sat in separate silos. Highwire's move is one more sign that brand positioning and narrative management are being pulled into the same intelligence function that already tracks competitive and market signals.

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