Interviews reviewed line by line, including the ones nobody had time for
Interviews, debriefs and screening sessions get recorded and then left alone, because reviewing one properly takes about as long as it took to run. The system reads that material and marks what to go back to: accounts that changed between sessions, questions answered around rather than answered, delivery that moved against the speaker's own baseline, what the accent carries, and what the video shows at the same second. It draws no conclusion about a person.
It works on material you already hold or already record. Nothing new has to be collected.
- Recorded interviews, debriefs and screening sessions, audio or video
- Live sessions, analysed while the interview is still running
- Body-worn and fixed camera footage
- Call, radio and monitored audio
- Written statements, read against the recordings they refer to
- Archives nobody has had the hours to go back through
Support while the interview is running
It tracks what the interviewer cannot: which planned topics are covered, which question got something other than an answer, which claim conflicts with an earlier session. They appear on screen as things to follow up.
What moved between one telling and the next
Every statement is checked against that person's earlier sessions, the written record, and what others in the case have said. Where a name, a date or a number changes, both versions are listed with a timestamp.
The questions that were answered around
Some questions come back shorter, hedged, or answered with another question. The system marks which topics did that and which were never touched.
Voice and delivery, against the speaker's own baseline
Pace, pitch, pauses, volume and hesitation, compared only with how that same person spoke earlier in the same recording. What comes back is a curve with the departures marked.
Accent and dialect markers
It names the regional markers a speaker's pronunciation carries and plays back where they appear, for a linguist to assess. It makes no determination about origin.
Languages you do not have on hand
Transcription and translation in the languages your material arrives in, including switches mid-sentence. The analysis runs on the original audio, because hedging does not survive translation.
What the video shows at the same moment
Facial movement, gaze, posture and gesture, read on the same timeline as the audio. These are observations at a timestamp, not evidence on their own.
Aggression and violence in footage
On recordings and live feeds, fights, crowd surges and people going down are flagged with the clip either side. A wall of screens becomes a list of moments to look at.
Who said what, across hours of material
Speakers are separated and tracked within a session and between sessions, so a claim belongs to a person rather than a file. On multi-party material this is what makes an archive searchable.
One session, from preparation to report. The same system works on a year-old recording and on an interview happening now.
Before
Earlier sessions, written statements and case material load first. The interviewer starts with the open contradictions and the topics never closed, on one page.
During
A live transcript. Topics get checked off as they're covered, conflicts with the record surface while there's still time to ask, and delivery is tracked against an early baseline.
After
A report within minutes: every question and the answer it got, by speaker, flags ranked and timestamped, and what to return to next time.
The harder problem is not one interview. It is the hours already recorded that nobody has the people to review, and the feeds arriving faster than anyone can watch them.
- An archive searchable by what was said in it
- The same question put to different people, answers side by side
- A name, a place or a claim traced through every recording that mentions it
- Camera feeds reduced to the moments somebody has to look at
- New material checked against the record as it arrives
- A session report a reviewer reads in minutes instead of listening again
- Every flag linked to the second of audio or video it came from
- Contradictions shown as both versions, side by side
- Transcripts with speakers attributed and the original language kept
- A record that gets more useful with every session added to it
- The same treatment for every recording, including the ones that would have been skipped
The system does not decide whether somebody is telling the truth. No measurement does. What it produces is pointers: this claim does not match that one, this question was answered around, delivery changed here, the video shows this at the same moment. Each one comes with the recording attached, because the point is that a trained person listens. The judgement is theirs, and the system records that it was.
On-premise and air-gapped
The whole platform runs inside your network, models included, with no traffic leaving and no outside provider involved. The same build runs in your own cloud tenancy under your keys, or on ours.
Everything traces back
Each flag carries the recording, the timestamp, the model version and the run that produced it. Nothing appears in a report that cannot be traced back to the material behind it.
Scoped per case and per role
Access is granted case by case rather than to the archive as a whole, and every access is logged. Enforced in the system, not by an interface that hides the rest.
Built in Europe
Developed and hosted in Europe, externally validated against the GDPR and the EU AI Act rather than self-assessed. The Act's limits on inference about people are part of the design.
EducationCircuit Stream
Immersive technology training · 6 campuses, US and Canada
Instructor evaluation, on every class instead of a sample
Every class, from every instructor, scored on Circuit Stream's own rubric, instead of one sampled session per instructor.
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