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Voice AI · Video review

Review signals inside important calls.

Review calls and recordings for cues that transcripts miss—tone, stress, confidence, facial expressions, and evolving meaning. Capture the nuance that text alone can’t convey.

[ Client review ]

Aletheia shifted from a technical feature set to a clear story for reviewing key conversations.

Product team, Levitate Data
Stylized Aletheia interface showing call review, transcript, waveform, and signal tracks
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Client

Aletheia by Levitate Data

Voice AI · Video review

Engagement

Product narrative

Positioning · product story · use cases

Role

Product strategy

Voice and video product story

Year

2026

Product positioning

Product promisereview evidence and product clarity
3
Signal types

Video, voice, and transcript

Live
Review modes

Live or recorded media

Plug-in
Product fit

Built for existing workflows

Clear
Evidence layer

Reviewable conversation context

Transcripts leave out critical context.

In high‑stakes calls, tone, confidence, stress, timing and visual cues matter. Aletheia must convey those signals clearly, not as a dry feature list.

We had to explain voice, video, and transcript analysis without drowning non‑technical buyers.

Reviewers must see why a moment matters, not just a score or label.

Compliance, support, and investigation teams need language that is careful, useful, and credible.

Aletheia had to be positioned as a review layer, not another call‑summary tool.

We positioned Aletheia as a review layer for critical conversations.

It merges video, voice, and transcript into a single timeline, letting reviewers see what changed, when, and why it matters.

  • The combined signals make tone, stress, and confidence easy to assess, supporting compliance, support, and investigations.
  • The language is clear enough for buyers to grasp quickly.

Signal mix

Voice, video, and transcript cues were shown as one review system.

Evidence first

The story stayed close to what reviewers can inspect and understand.

Timeline framing

Signals were organized around change over time, not isolated scores.

Use-case clarity

Compliance, support, and investigations gave buyers familiar entry points.

Product fit

Aletheia was positioned as a layer that can fit into existing workflows.

Plain language

Technical cues became simple benefits a buyer could scan quickly.

Week 1–2

Product audit

Reviewed the signal types, product context, and buyer use cases.

Week 2–3

Core narrative

Defined the review-layer positioning.

Week 3–4

Signal story

Simplified voice, video, and transcript language.

Week 4–5

Use cases

Mapped the message to compliance and review workflows.

Week 5–6

Product copy

Reduced feature language into concise page sections.

Week 6–7

Launch fit

Aligned Aletheia with the Levitate Data product suite.

Screenshot of the Aletheia product section on Levitate Data
Product sectionA concise product story for reading voice, video, and transcript signals together.
Screenshot of the Levitate Data product catalog containing Thalamus, Aletheia and Theia
Product catalogAletheia sits inside the broader Levitate Data product suite with a clear role.
Video contextVisible changes and facial cues made reviewable.
88
Voice contextStress, emphasis, pacing, and confidence shifts.
84
Transcript contextSentiment, nuance, and conversation meaning.
80
Review clarityA single timeline a reviewer can understand.
92
[ 01 ] Sources
Conversation inputs
  • Video
  • Audio
  • Transcript
  • Call context
[ 02 ] Read
Signal review
  • Facial cues
  • Voice stress
  • Sentiment
  • Tone
[ 03 ] Combine
Review timeline
  • Confidence shifts
  • Stress markers
  • Emotion changes
  • Evidence
[ 04 ] Deliver
Product layer
  • Product link
  • Dashboards
  • Case review
  • History

Aletheia turns calls and recordings into structured review signals that stay close to the evidence.

A clearer product story: Aletheia is now a focused review layer for high‑stakes conversations.

Sharper buyer context: The page shows why voice, video, and transcript signals matter together.

"

Aletheia shifted from a technical feature set to a clear story for reviewing key conversations.

P
Product team, Levitate Data
Sources
  • Video calls
  • Audio files
  • Transcripts
  • Call context
Processing
  • Facial cues
  • Voice stress
  • Sentiment
  • Tone shifts
Answer layer
  • Confidence shifts
  • Stress markers
  • Emotion changes
  • Evidence links
Delivery
  • Product section
  • Review timeline
  • Case dashboard
  • Workflow handoff
Governance
  • Access rules
  • Review notes
  • Audit context
  • Compliance fit
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[ Response ]

Within 24 hours

[ Timezone ]

GMT+5 · flexible

[ Discovery ]

Free · no NDA needed

[ Engagement ]

$1,000 / week sprint