How VoxeNova compares
Engineering-effectiveness platforms measure what shipped. VoxeNova populates a live, queryable knowledge graph of what was decided — every meeting turned into decisions, risks, actions, and gaps across every project, automatically, with citation-grade source linking back to the moment each artefact was first surfaced.
// Comparison current as of Jul 2026 · categories and capability rows below
Not sure which category we're in?
We're a Project Intelligence Platform: an AI facilitator turns every meeting into structured decisions, risks, actions, and gaps, and populates a queryable knowledge graph of your project state. If you're searching for us, you probably compared us against one of these three buckets first. Here's how we differ from each.
Jellyfish · LinearB · Faros · Swarmia
These platforms measure what shipped (git metrics, DORA, cycle time). We measure what was decided — meeting-derived decisions, risks, and gaps that never appear in a commit.
Complementary, not competitive. Many teams run both.
Notion · Confluence · custom Jira/Linear dashboards
These require someone to write things down. VoxeNova captures automatically from meetings and structures the output — no page-authoring, no dashboard-building.
If you're using Notion as a "project memory" and it keeps going stale, that's us.
Otter · Fireflies · Read AI · Zoom AI Companion · Gong · Chorus
These are transcription, note-taking, or sales-call intelligence tools. Different buyer, different output (transcript/CRM entries vs a project knowledge graph).
Comparison matrix below — kept because these are the tools people confuse us with most often.
// Who we do not compete with · CRM (Salesforce, HubSpot), sales intelligence (Gong/Chorus/Clari — different buyer), IDE assistants (Copilot Chat, Cursor — different surface), regulated-legal tools (Ironclad, Hebbia — different substrate).
Meeting-intelligence capability matrix
Detailed capability comparison against the meeting-intelligence tools people most often confuse us with. If you're evaluating VoxeNova against Jellyfish, LinearB, Faros, or Swarmia instead, this table is not the right frame — talk to us and we'll walk you through the engineering-effectiveness comparison directly.
| This is usVoxeNovaProject intelligence | Read AIDirect competitor | Spinach.ioAI scrum master | Otter / FirefliesNotetakers | GranolaAI notepad | Zoom AI Co. 3.0Platform · suite | MS Teams / GoogleNative suite AI | AtlassianRovo+Loom · suite | |
|---|---|---|---|---|---|---|---|---|
| Live facilitation | ||||||||
| Active AI facilitation of the meetingGuides the conversation in real time, not just listens | ✓ | – | ~ | – | – | ~ | ~ | ~ |
| Structured engineering ceremoniesProduct Discovery, Architecture Review, Sprint Planning | ✓ | – | Agile only | – | – | – | – | Brainstorm agent |
| Live technical diagram generationMermaid · sequence · C4 · draw.io, drawn as you talk | ✓ | – | – | – | – | – | – | – |
| Artefacts & output | ||||||||
| Seven-artefact taxonomyRequirements · decisions · risks · assumptions · constraints · actions · backlog | ✓ | Notes + actions | Summaries | Notes + actions | Notes | Summaries | Summaries | Notes + actions |
| Push to Jira & ConfluenceArtefacts written back as work items / pages | ✓ | ~ | ✓ | ~ | – | ~ | ~ | Native |
| Citation-grade source linkingEvery decision, risk, action item carries speaker + timestamp + chunk back to source meeting | ✓ | Transcript only | Transcript only | Transcript only | Transcript only | Transcript only | Transcript only | Transcript only |
| Continuous intelligence | ||||||||
| Unifies meeting + Slack signalOne layer across synchronous and async work | ✓ | ✓ | ~ | – | – | ~ | ~ | ✓ |
| Temporal knowledge graphBi-temporal — tracks how decisions evolve & contradict | ✓ | Graph, not temporal | – | – | – | – | – | Teamwork Graph |
| Contradiction / drift detectionFlags when a new decision conflicts with an old one | ✓ | – | – | – | – | – | – | – |
| Trust & compliance | ||||||||
| Attribution-first by designNotes attributed to speakers, never to a "proxy attendee" | ✓ | ~ | ~ | – | ✓ | ~ | ✓ | ~ |
| Emotion analysis off by defaultCustomer-controlled, auto-disabled in the EU — aligned with EU AI Act Art. 5 | ✓ | Infers sentiment | ✓ | ~ | ✓ | ~ | ~ | ✓ |
| No call-audio persistenceVoice stream processed in memory only; we transcribe and drop the bytes | Memory only | Stored | Stored | Stored | Stored | Stored | Stored | Stored |
| EU data residencyEU-hosted processing as a first-class option | ✓ | ~ | – | ~ | ~ | ✓ | ✓ | ✓ |
| Clean consent-litigation recordNo pending wiretap / BIPA suits | ✓ | ✓ | ✓ | Active suits | ✓ | ✓ | ✓ | ✓ |
| Architecture & commercials | ||||||||
| Dedicated single-tenant instanceEach customer on isolated infrastructure with chosen region | ✓ | – | – | – | – | ~ | ~ | ~ |
| Per-meeting pricing optionPay-as-you-go by meeting, not per user seat | ✓ | – | – | – | – | – | – | – |
| Focus & fit | ||||||||
| Built for scale-up engineering orgs20–200 engineers, CTO as buyer | ✓ | Horizontal | ✓ | Horizontal | Horizontal | Horizontal | Horizontal | ✓ |
No competitor combines ceremony facilitation, the seven-artefact taxonomy, live technical diagrams, and a temporal graph. Read AI has the breadth but none of the engineering depth — and infers sentiment, where we keep that analysis off by default.
Zoom and Atlassian are both building toward conversation-to-artefact intelligence — Rovo + Loom write to Jira/Confluence; AI Companion 3.0 chases agentic workflows. VoxeNova already ships the engineering-ceremony and diagram depth those roadmaps lack.
Attribution-first, emotion analysis off by default, EU-resident, citation-grade. As the litigation wave and EU AI Act Article 5 turn compliance into a procurement filter, that architecture becomes a reason to buy.
Want the deep-dive?
Transcription that listens vs. an agent that facilitates.
Notes + actions vs. seven typed artefacts with citations.
Personal analytics graph vs. a project temporal graph.
Meeting management UI vs. live ceremony facilitation.
Suite summaries vs. engineering-ceremony depth.
Notes. Comparison reflects publicly available product capabilities and the latest GA releases as of June 2026 and is intended for positioning, not legal characterisation. "Active consent litigation" refers to pending, unproven allegations (In re Otter.AI; Cruz v. Fireflies) — no court has ruled these practices unlawful. Suite columns (Zoom AI Companion 3.0, Microsoft Teams Facilitator, Google Meet/Gemini, Atlassian Rovo+Loom) capture native first-party features only. Atlassian and Zoom are shown as ecosystem platforms given their strategic relevance. "~" denotes a generic or partial equivalent rather than a purpose-built capability.