Hear what your organisation actually thinks.
Aria runs structured voice interviews at the scale of a survey, tracks live coverage against the dimensions you care about, and turns hundreds of conversations into evidence your team can interrogate — long after the engagement ends.
- 20–30min
- per interview, on the respondent’s own time
- 100s
- of respondents, zero scheduling
- Every
- finding cited to the moment that proves it
Aria
interviewing · 14:22
Live coverage · 4 of 6 dimensions
- Trust in leadership well_covered
- Cross-team handoffs partial
- Decision speed well_covered
- Career growth not_covered
Aria is steering toward career growth before wrap-up.
How it works
From rubric to evidence, in four moves.
Build the dimensions your engagement actually turns on.
Each dimension becomes something Aria works to cover — not a question to read aloud, but a target to hit. You define what “enough” looks like; Aria figures out how to get there in conversation.
rubric → dimensions → coverage targets
Every respondent gets a personal interview URL.
They open it in a browser, talk to Aria for twenty to thirty minutes, and hang up. No scheduling. No installs. No transcription queue, and nothing for your team to chase.
one link → one conversation → no logistics
The agent tailors its questioning, and presses for specifics.
Aria adapts to the respondent’s seniority and tenure, follows the thread that matters, and tracks live coverage against the rubric — surfacing the dimensions that still need depth before the conversation ends.
adaptive → specific → coverage-aware
Ask anything, and get an answer cited to the moment.
Every interview is logged, embedded, and joined to the dimension-level coverage map. Ask a theme, a tension, a comparison between cohorts — and get a response hyperlinked back to the words that produced it.
logged → embedded → interrogable
Capabilities
Built for consultants who need defensible insight.
Select any capability to see how it holds up under scrutiny.
Live coverage tracking
Each rubric dimension carries one of three states — not_covered, partially_covered, well_covered — recomputed live as the respondent speaks. A separate depth signal distinguishes a one-line acknowledgment from a substantiated account, so Aria knows what still needs pressing before the call ends.
Evidence-grounded AI
Findings are hyperlinked to the words that produced them — not summaries of summaries. Open any claim and you land on the exact transcript moment, timestamp and speaker intact, so the chain from insight to source is never broken.
Cohort divergence
See where the organisation speaks with one voice and where it pulls apart. Compare any two cohorts on any dimension and surface the tensions a blended average would erase — the splits that actually drive the engagement.
Document-aware retrieval
Aria draws on your uploaded corpus mid-conversation to ask questions grounded in the company’s own language and history — not boilerplate. Reference a prior report or a named initiative and the agent picks it up.
Ask anything, with citations
Ask a theme, a tension, or a comparison between cohorts and get an answer with citations back to the moments that say it. Insight stays auditable long after the engagement closes — the corpus keeps answering.
Branded for the engagement
Respondents see something familiar from the moment they open the link — your client’s logo, colors, and voice. Familiarity lowers the guard, and a guard that’s down is how you get the unvarnished version.
For prospective customers
Find the shape that fits.
From global cloud through air-gapped on-prem — five deployment models so your data-security posture isn’t the thing that decides whether you can use LSC. Spend ten minutes with Aria, and you’ll walk away with the model that fits your environment, the trade-offs to weigh, and an answer for the people on your side who’ll ask.
- What residency and processor constraints actually apply to you
- Whether voice and transcripts can leave your environment — and what changes if they can’t
- The one or two trade-offs that come with the model we’d steer you to
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A
Cloud Native
OpenAI Realtime — voice + text in one cloud pass.
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B
Multi-Cloud Hybrid
ElevenLabs voice + interchangeable LLM clusters.
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C
Regional Sovereign
Region-locked ElevenLabs + AWS Bedrock.
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D
Localized Core
Cloud voice, on-prem LLM via Ollama.
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E
Sovereign Air-Gap
Fully local STT + LLM + TTS. Zero egress.
“The thing leaders never get is the unvarnished version. We built this so the unvarnished version is the easy version — for the respondent, for the consultant, and for the executive who reads it.”
Ready to hear it straight?
If your engagement is already set up, sign in to pick up where you left off. Evaluating LSC? Spend ten minutes with Aria and we’ll figure out which deployment model fits your environment — or talk to the team directly.