For Research Agencies
Every client's study running at once, not queued behind the next.
Valogent's voice-AI agents interview at agency scale: hundreds of conversations running in parallel across every active client, each one probed to the depth a senior researcher would reach by hand, with your team's headcount untouched.
Client A · Brand Perception
+211Client B · Concept Test
+64Client C · Win-Loss Interviews
+38Client D · Multi-Market UX
+156What agencies run on Valogent
The studies your clients keep asking for.
Cover the qualitative work every account expects, without hiring a new moderator each time you sign a client.
Voice-of-Customer & Brand Perception
Deliver the brand-tracking study a client keeps asking for: hundreds of open, unscripted conversations about trust and perception, gathered faster than a single moderator could book the first ten calls.
Concept & Message Testing
Put a concept, a positioning line, or a creative territory in front of respondents and let the agent dig into why it lands or falls flat, with results back inside the client’s sprint, not after it ends.
Win-Loss Interviews
Interview every closed-won and closed-lost buyer, not just the ones a moderator had time to book, and surface the real reason deals moved, not the version that made it into the CRM.
Multi-Language Studies
Field one study natively across every market your client operates in, instead of assembling local moderators and paying for a translation pass.
The problem
Why agency-scale qualitative work keeps stalling.
Speed, rigor, and repeatability are what agencies sell, and a single moderator's calendar is what quietly limits all three.
One moderator tops out at a handful of interviews a week. That’s the real ceiling on how many studies you can run at once.
Scaling up means adding junior moderators, and interview quality starts drifting as the roster grows.
A client asks for a bigger sample mid-project, and the fee, the timeline, or both have to move to cover it.
Synthesis happens by hand after fieldwork closes, so the readout deck is usually finished the night before it’s due.
One screen that ends the “is this real” conversation.
When an account lead can show a stakeholder consistency, turnaround, and coverage on a single readout, the pushback stops. Valogent gives every study the evidence agencies used to spend a week assembling by hand, already tagged, already synthesized.
Consistency
100%
Standard held
Open Risks
0
Flagged issues
Turnaround
22h
Avg. to findings
Tagged
214
Interviews coded
Theme sentiment, all studies
82%
Positive
18%
Flagged for follow-up
The process
How a study runs, start to finish.
Four steps, the same whether it's one client's study or ten running side by side.
Design the study
Set the objective, audience, and question set once; Valogent turns it into a discussion guide and a moderator persona.
Field in parallel
Voice-AI agents run every client’s interviews at the same time, each one probed as deep as a senior researcher would go by hand.
Pattern-tagged findings
Verbatims, themes, and sentiment come back structured and tagged, ready for a client-facing readout.
Compounding intelligence
Every study joins a searchable library, so the next brief starts from what you already know.
The infrastructure underneath
One standard, extended across every workspace.
The same moderating standard and the same data model, extended across as many client workspaces as you're running this quarter.
Native org-switcher
One login covers every active study, move between client accounts without the context-switching tax.
White-labeled reports
Every export carries your logo, not ours, a deliverable a client never has to know was AI-run.
Data-segregated workspaces
No client ever sees another client’s transcripts, that’s architecture, not a promise.
Custom moderator persona
Set the pace, tone, and probing depth once, and every interview across every client holds to it.
42 languages, one workflow
Pitch a client in any market without lining up a bench of local moderators first.
Ask-your-data synthesis
Ask a question across every engagement you’ve run and get a synthesized answer back, not another pile of transcripts to reread.
Meet the moderators
Every voice has a name, a pace, and a persona.
Behind “custom moderator persona” are working personas your team assigns per client, same rigor, different bedside manner.
Nova
Brand & Sentiment
Warm, unhurried pacing for open-ended brand conversations, probes for the story behind an opinion, not just the rating.
Kestrel
Win-Loss & Competitive
Direct and patient with buyers, presses past the polite answer to the actual reason a deal moved.
Iris
Multi-Market
Runs natively across 42 languages, tuned per market so the tone never feels like a translation.
Customer Spotlight
Early access, in select engagements
FAQ
Questions agencies ask before the pitch
How does Valogent keep client data separated?
Each client gets its own workspace by default, so studies, transcripts, and findings never cross accounts. Access within your team is yours to grant.
Can reports carry our own agency branding?
Yes. Every export ships white-labeled, so a report goes from Valogent to your client without our name ever appearing on it.
How is this different from freelance interviewers?
Freelancers scale unevenly, quality drifts as the roster grows, and headcount still caps how far you can stretch. Valogent holds one interviewing standard at whatever volume a client needs this week.
Can we run multiple client studies at once without added headcount?
Yes. Every active client’s interviews run in parallel. Your team’s time goes into study design and the client narrative, not moderating one conversation at a time.
Does each client see only their own study?
Only if you choose to grant it, workspaces are segregated per client by default, and any sharing is opt-in and scoped to a single study.
How fast can we turn around a client deliverable?
Once fieldwork closes, pattern-tagged findings are typically ready within a day, fast enough to make a sprint-timeline readout.
See it running alongside your next engagement.
Bring us one live client study, and we'll show you what it looks like running next to three more.