Not the cheapest AI analysis.
The most accurate.
Every piece of data in Reos - interviews, tickets, emails, survey answers - flows through DIVE™, a human-led, four-stage pipeline built to reduce hallucination and keep every claim traceable. No black-box AI.
Validated insight
Trials stall in week two when the data import fails silently.
12 sources · every claim traceable to the second
each stage checks the one before it · hallucinations don’t survive to the report
The DIVE™ pipeline
Four stages between data and claim
Reos is the only platform that runs every analysis through DIVE™. It exists for one reason: accuracy. Each stage checks the last, hallucinations get filtered out, and everything stays traceable.
Decode
Raw transcripts, tickets, and answers become structured observations - who said what, about which moment, with what feeling. Nothing summarized away.
Improve
Observations are sharpened and deduplicated. Vague claims get tightened or dropped; near-duplicates merge with their counts intact.
Validate
Every observation is checked against its source. If the quote doesn’t actually support the claim, the claim doesn’t survive.
Enrich
Validated findings are enriched with context from your wider research - past studies, related tickets, open research questions - so every observation can be found again and recombined into new insight.
Cheap analysis you double‑check. Accurate analysis you ship.
Human in the lead
You tell the AI what’s true
DIVE™ pauses when it hits an ambiguity instead of guessing. Reos surfaces what’s unclear - and the assumption it would otherwise run on - so you confirm, correct, or rein it in before the analysis moves on. Nothing material is decided silently.
- Surfaced, not silently failedEvery ambiguity and possible moderator bias is flagged before it can quietly shape the data - ranked by how much your answer could change the findings.
- A working assumption, alwaysEach question shows the current best interpretation - the default it proceeds on if you skip, so a run never blocks.
- You rein it inConfirm, correct, or add context. The AI never makes a micro-decision on its own without showing you the call.
Reos · clarify - your input needed
We need some clarification
DecodeA participant says they listen to “a lot of SoundCloud” alongside curated playlists. It’s unclear whether SoundCloud serves a need the playlists don’t.
you confirm what’s true · skip and the AI proceeds on its stated assumption · nothing decided silently
Your words. Your rules. Your evidence.
DIVE™ is the backbone, and it runs the way your team works. Teach Reos your vocabulary and your standards once, and every analysis in every project applies them - without anyone tuning a prompt.
Your way
Your lexicon
Product names, internal terms and acronyms, spelled right in the transcript, said right by the AI moderator, understood right in the analysis.
Your definitions
Workspace context carries what your team means - what counts as a “churn risk”, how severity is graded - into every run.
Your style guide
Voice, formatting and the things you never say, applied to every document the AI writes. Set it org-wide, or per document type.
- InterviewssourceTicketssource
- Decodebest-scoring model
- Validateagainst sources
- Theme clustersoutput
Under the hood
The model homework, already done
You never pick a model. We benchmark them against hand-coded ground truth and run every step on the one that gets it right - not the cheapest, and not whichever is in the headlines this week.
- Benchmarked, not vibes‑markedAccuracy and relative cost are measured per step and re-tested as new models ship, so today’s analysis runs on today’s best.
- New models, no migrationWhen something better wins the benchmark, your analyses simply get better. Nothing for your team to evaluate, switch or maintain.
step benchmarks · re-run monthly
- Decode interview · in userunning now
- accuracy
- 97
- relative cost
- 71
- Decode interview · runner‑up
- accuracy
- 93
- relative cost
- 34
- Validate claims · in userunning now
- accuracy
- 96
- relative cost
- 22
benchmarked against hand-coded ground truth · chosen for you, per step
Channels
Your support inbox is a research study
Connect your support email as a channel and every message flows into Reos, through a DIVE™ pipeline of your choosing - continuously. Interviews are one source; this is how you analyze everything else, at any scale.
channel · support inbox - connected
- Fwd: import finished but dashboard empty?support@acme.comimports
- Re: can’t find my CSV after uploadsupport@acme.comimports
- Billing question - annual invoicesupport@acme.combilling
flows through the “support sweep” DIVE™ pipeline - continuously
Emerging theme: silent import failures - 28 mentions this month, up 3×
- Connect once, analyze foreverTickets, support emails, call transcripts, form answers - one analyzable stream, themes surfacing as they emerge.
- Always-on studiesSome projects never close - track customer sentiment as an always-on study, analyzed as each message lands.
- Big data, same rigorTen interviews or two hundred thousand tickets: the same validation rules apply, and every theme still cites its sources.
- From signal to studyWhen a channel theme spikes, plan a study from it in one click - the loop starts again with evidence in hand.
Run your next study in Reos
Sign up, import an interview, and trace your first insight to its source in minutes.