Haivision vs Intermedia
Side-by-side trajectory, velocity, and editorial themes.
Haivision's product signal is thin under a marketing feed: SRT Gateway and ISR player get UX work
Haivision's crawled feed is mostly thought-leadership and customer-story marketing across defense, public safety, and broadcast video. The genuine product signal is narrow: a UX overhaul of the SRT Gateway (visual workflows, mobile support, thumbnail previews) and capability content around the Play ISR Premium player (interactive mapping, annotations, collaboration). New broadcast hardware — Makito ONE, Falkon X4 — surfaces through NAB and customer recaps rather than changelog releases.
Where signal exists, Haivision is refining operator experience on existing platforms — making IP video routing and ISR analysis easier to drive visually — while its hardware momentum lives in trade-show and customer narratives. This is a marketing-led feed; product direction has to be inferred from a handful of feature-adjacent posts rather than a release stream.
Expect continued UX modernization of the SRT Gateway and ISR tooling and further broadcast-contribution hardware (Makito ONE, Falkon X4) positioning, though the blog-style feed makes precise release timing hard to call.
Intermedia's public feed is all UCaaS thought-leadership, no shipping signal
Intermedia sells cloud UCaaS and contact-center to SMBs and channel resellers, but the feed we can see is its marketing blog, not a product changelog. Recent posts cluster on healthcare communications, zero-trust phone security, business SMS, and AI displacing legacy IVR. There is no release, version, or feature-ship visible here to judge product movement against.
The editorial line the company is pushing is clear even if the product cadence isn't: AI agent-assist and automation replacing legacy IVR and call-handling, plus a security posture (zero trust) aimed at regulated buyers like healthcare. That is a positioning bet on AI-in-the-contact-center, but these are opinion pieces and buyer guides, not proof of what has shipped.
The feed doesn't carry release data, so a grounded product prediction isn't possible from it; the messaging weight on AI contact-center automation is the only forward signal, and even that is marketing intent rather than a dated roadmap.
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