Customer interviews into themes with quotes
The Interview Synthesizer reads every transcript, clusters what customers actually said into themes with verbatim quotes, and weights each theme by how often it recurs, not how loud it was.
Eight churn interviews to synthesize. Reading every transcript before I name a single theme.
Clear recurrence. Three themes come up across most of the interviews.
Pulling the strongest verbatim quote for each theme, from different customers.
How it works
Triggered by your call transcripts
Finished interviews or call recordings from Zoom land with the agent automatically. No one has to transcribe or hand them over.
Weights themes by evidence, not volume
It clusters what customers actually said, weights each theme by how many raised it rather than who was loudest, and labels a one-off as an outlier instead of a trend.
Writes the themes up with quotes
The synthesis lands in Notion or Docs: each theme sized by frequency, backed by verbatim quotes, and outliers flagged so the team builds for real patterns.
Without Relevance
With Relevance
A researcher rewatches calls and writes up the themes they remember most.
The agent reads every transcript and clusters what was actually said into themes, each tied to its evidence.
Themes arrive as paraphrase, with the customer’s own words lost.
Every theme carries verbatim quotes, so the customer’s voice reaches the room unfiltered.
The most articulate interviewee ends up shaping the findings.
The agent weights themes by how many customers raised them, not by who said it most forcefully.
The first few interviews set the narrative; later ones get skimmed.
Every interview counts toward the themes with the same attention, first and last alike.
Two researchers synthesize the same calls into different themes.
One method applied to every transcript, so the themes do not depend on who did the read.
A one-off remark gets written up as a trend to fill the deck.
A point raised once is labelled an outlier, not promoted to a pattern.
Held to a quality bar, on every run
Every synthesis is checked against eval test cases written for this exact job before it reaches the team. If a run fails the bar, it never ships.
Sampling 2% of live runs · 95% passing this week
Shaped by your team, not a template
Experts and engineers tune Interview Synthesizer to your playbooks. Every change ships through the same evals.
Drag and drop
Compose agents and workforces on a visual canvas. Drag in agents, tools, and approvals in a flow anyone on the team can read.
Drag and drop
Compose agents and workforces on a visual canvas. Drag in agents, tools, and approvals in a flow anyone on the team can read.
Build with AI
Describe the agent in plain language and Invent builds it: the prompt, the tools, and the evals to prove it works.
Build with AI
Describe the agent in plain language and Invent builds it: the prompt, the tools, and the evals to prove it works.
Build with MCP
Engineers drive the same platform from Claude Code, Codex, or Cursor. Create agents, link knowledge, and run evals over MCP.
Build with MCP
Engineers drive the same platform from Claude Code, Codex, or Cursor. Create agents, link knowledge, and run evals over MCP.
Built for enterprise teams
Run agents on your real data with the access controls, audit trails, and residency guarantees enterprises require all built in.
Security & data privacy
- Data residency
- PII masking
- Audit logs
- No training on your data
Access & controls
- Role-based access control
- SSO / SAML
- Human-in-the-loop approvals
- Version control
Monitoring & oversight
- Real-time monitoring
- Full agent tracing
- Cost visibility
- OTEL & Delta Share export

"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."
Levi Watters
Partner, KPMG Australia
"The key for us was how we can modularize industry knowledge and the best playbooks, and apply it."
Allen Roh
Senior Marketing Manager, Autodesk
"We're looking for every place where AI can allow sellers and customer success reps to be more engaged with customers."
Rob Giglio
Chief Customer Officer, Canva
"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."
Levi Watters
Partner, KPMG Australia
Team it up with more research agents
Market Researcher
Researches a market from live sources into a sourced brief.
Source Synthesizer
Reduces many sources to cited findings, contradictions and all.
Insight Analyst
Finds the one insight in the data that changes a decision.
Every agent you add shares one stack
These agents all run on one platform: one gateway, one router, one eval suite, one audit trail. Every agent after the first ships faster.
- Triggered by key events or signalslike Zapier
- Given access to contextlike Zep
- Connected to your appslike Composio
- Access to all LLMslike OpenRouter
- Performance evaluatedlike Braintrust
- No-code agent builderlike Dust.tt
- Coordinated into teamslike CrewAI
- Kept alive through long-running worklike Temporal
- Traced at every step of every runlike Langfuse
Put the Interview Synthesizer to work this quarter
We partner with enterprise teams to take this work off their plate. An agent built with you, proven against your quality bar, and live in weeks.


