The Evidence Layer for Recorded Work

Citations,
not summaries.

Citesvue turns any meeting, UAT session, demo, or sales call into structured insights with timestamped, screen-level evidence. Ask plain-language questions. Push findings straight to Jira, Notion, and Slack.

No meeting botAny source, any lengthRaw media deleted after processing
app.acme-finance.com/exports
OCR · "Export"
Paused · 00:14:23
BUGhigh
00:14:23

The export button is broken — when I click it, nothing happens and there’s no error.

Maya — Product Lead

Reproduces on Chrome 121 + Safari 17. Same step in dashboard. Audio confirms.

Pushed to Jira · CV-1284Frame14:23.4
Why this exists
Built secure by default
  • TLS 1.3 in transit
  • AES-256 at rest
  • Role-based access
  • Full audit log
  • Row-level isolation
  • Raw media deleted post-process
The status quo

Your recordings are full of answers.
Nobody has the time to find them.

Every team records more than ever. Almost no team turns those recordings into anything that survives the week. Three failure modes show up everywhere we look.

01

Meeting tools summarise. They don’t cite.

Generic bullets, no evidence, no visual context. The moment someone asks "where did they actually say that?" — there’s nothing to point to.

02

Manual documentation eats the week.

Scrub. Screenshot. Paste into Jira. Rewrite for the deck. A two-hour UAT becomes a six-hour write-up — and it’s already stale.

03

Insights vanish into Drive.

Last month’s findings live in someone’s Notion page. Nobody will surface them again. The recording becomes institutional dark matter.

The category we created

An evidence layer,
not another notetaker.

Speech tools capture what was said. Screen tools capture what was shown. Nothing connects them to time and intent. Citesvue fuses all three — into a single queryable layer that lives underneath every recording your team makes.

Time to document a UAT session
2–4 hrs
Minutes
Bug report quality
Disconnected screenshots
Quote · timestamp · frame
Cross-session memory
None
Searchable institutional layer
Fusion
Per millisecond
Speech
Word-level timestamps, speaker IDs.
Screen
OCR, UI states, error frames.
Timing
Pronoun resolution, pointing context.
Evidence layer
Cited, queryable, exportable. Lives under every recording.
How it works

From recording to evidence in four steps.

No new workflow to learn. Drop in any recording — Citesvue does the rest, and hands the result back to the tools your team already lives in.

  1. STEP · 01No plugins

    Upload

    Any meeting, demo, UAT session, customer call. Any length. Any source — Zoom, Teams, Meet, Loom, QuickTime, OBS. No bot to install.

  2. STEP · 02Per-millisecond

    Fuse

    Speech, screen, and timing fused per millisecond. Speakers identified. Every keyframe analysed. On-screen text extracted with OCR.

  3. STEP · 039 artifact types

    Extract

    Bugs, requirements, decisions, action items, objections, risks — each with quote, speaker, timestamp, supporting frame, severity.

  4. STEP · 04One click

    Act

    Push directly to Jira, Linear, Notion, Slack, Confluence. Or ask the copilot anything in plain English — every answer is cited.

Anatomy of an evidence card

Every artifact carries
its own proof.

This is what flows out of every recording. Five things travel with each insight — so nobody on the team has to ask "where did this come from?"

BUGhigh
00:14:23

The export button is broken — when I click it, nothing happens and there’s no error.

Maya — Product Lead

Reproduces on Chrome 121 + Safari 17. Same step in dashboard. Audio confirms.

Pushed to Jira · CV-1284Frame14:23.4
  • Severity & artifact type
    Auto-classified across nine types — bugs, requirements, decisions, risks, more.
  • Frame timestamp
    Click anywhere → jump to that exact second of the recording.
  • Cited quote
    The exact words. Not paraphrase, not summary. Word-level transcript-grounded.
  • Speaker attribution
    Per-segment speaker ID. Persistent identity across sessions (coming soon).
  • Push state
    Single-click delivery to Jira, Linear, Notion, Slack — with the evidence attached.
Field comparison

What other tools won't tell you.

The category is crowded with notetakers and meeting summarisers. None of them publish the comparison that actually matters: what travels with the insight.

Citesvue · Comparison sheetRev. 2026.04
Generic AI notetakers
Fireflies · Otter · Read · Fathom
Citesvue
Evidence layer for recorded work
Output
Summaries & notes
Evidence-backed artifacts
Context
Audio only
Speech + screen + timing
Answers
Keyword search
Cited, timestamped Q&A
Workflow
Dead-end document
Pushes to Jira, Linear, Notion
Coverage
Works in one vendor
Works on any recording
Visual citation
Not supported
Included
UAT / QA workflow
Not supported
Included
Cross-recording memory
Not supported
Included

We don't compete on summaries. That's the wrong job. We compete on whether your team can defend a claim three weeks later — quote, frame, and timestamp included.

Built for teams who need evidence

Pick a workflow. See what it produces.

The same evidence layer, reshaped for the team that needs it. Day-one ROI for QA, PMs, agencies, and revenue.

Scenario · QA & UAT

Bug reports with quote, frame, and reproduction steps — pushed to Jira before the call ends.

  • Auto-classified by severity, type, and component.
  • Frame + transcript + reproduction steps travel with every report.
  • Bidirectional Jira / Linear sync (Phase 3).
See the full QA & UAT workflow
BUGhigh
00:14:23

The export button is broken — when I click it, nothing happens and there’s no error.

Maya — Product Lead

Reproduces on Chrome 121 + Safari 17. OCR confirms button label is "Export".

Pushed to Jira · CV-1284Frame14:23.4
Capabilities

One platform, six surfaces.

Every capability shares the same evidence layer underneath — so the workflow you ship today compounds into the institutional memory you query in three years.

Visual intelligence

Every keyframe analysed. Buttons, labels, URLs, error messages, form fields extracted from on-screen text. UI states classified, error screens auto-detected.

·Speech + screen, fused.

Evidence-grounded Q&A

Ask anything in plain English. Every answer carries quote, speaker, timestamp, and frame — with confidence scores. Multi-turn conversation memory.

·Cited copilot, no hallucinations.

Auto artifact extraction

Bugs, requirements, decisions, action items, objections, risks, approvals, open questions — each with severity, speaker, and supporting evidence.

·9 artifact types · severity-graded

One-click integrations

Push artifacts directly into Jira, Linear, Notion, Confluence, Slack — or any system through generic webhooks and a full REST API.

·5 native + webhooks

Team workspaces

Accounts → Teams → Members with roles. Projects organise recordings by client, product, or sprint. Timeline comments. Full audit trail.

·Role-based access
Soon

Institutional memory

"When did the client first mention SSO?" Search every recording your team has ever uploaded. Persistent speakers. Cross-session topics.

·Coming · Phase 3
Trust

Built for
the people
who get audited.

Recording is the easy part. Defending what you do with it is harder. Citesvue is engineered so your security and legal teams can sign off on day one.

  • Privacy by design

    Raw media is deleted after processing. Only the structured evidence layer persists. Right to erasure on account closure — full GDPR alignment.

  • Encrypted everywhere

    TLS 1.3 in transit. AES-256 at rest. Per-row access enforcement on every query. Zero shared tenancy in the data layer.

  • Audit-grade traceability

    Every data access, every export, every integration push is logged. Immutable trail you can hand to legal, security, or compliance on demand.

  • Roles built for teams

    Workspace → Team → Project hierarchy. Granular role-based access. Custom retention policies on Enterprise.

  • Regional & residency-ready

    EU and US processing regions. Single-region pinning available. SCCs in place for cross-border data flows.

  • Roadmap

    Enterprise track

    SAML 2.0 / OIDC SSO. SOC 2 Type II in progress. On-premise deployment available for regulated buyers.

Need our security pack, DPA, or sub-processor list?Read the trust center →
Trusted by teams whose findings need to hold up
  • Northwind Studio
  • Aria Therapeutics
  • Ledger Lane
  • Forge UAT Lab
  • Helix Research
  • Vela Strategy
Plus 200+ design, research, and QA teams in private preview.
Pricing

Start on the free tier. Scale when the evidence pays for itself.

No credit card to begin. Move up only when your team is ready for richer integrations, longer recordings, or workspace controls.

Compare every tier →
Free
$0/ forever

Try the evidence layer on real recordings.

  • 3 recordings / month
  • Up to 30 min each
  • Single user
  • Community support
Start free
Most popular
Pro
$29/ per user / month

For solo PMs, QA leads, and consultants.

  • Unlimited recordings
  • Up to 2 hours each
  • Jira · Linear · Notion · Slack
  • Email support
Start Pro trial
Team
$59/ per user / month

Workspaces, projects, audit trails.

  • Everything in Pro
  • Up to 4 hours each
  • Up to 15 seats
  • Webhooks · API access
Book a Team demo
Enterprise
Talk/ custom

SSO, on-prem option, custom retention.

  • Unlimited length & seats
  • SAML 2.0 / OIDC
  • On-premise option
  • SLA + dedicated support
Talk to Enterprise
Closing argument

Your next recording could be
your most valuable asset.

Or it could sit in a Drive folder nobody opens again. The difference is whether it has citations attached.

  • SetupOne drag-and-drop. No bots, no plugins.
  • First insightCited Q&A on a 60-min recording in under 6 minutes.
  • Cancel anytimeFull data export, full right to erasure.