AI-native interviews, end to end

Turn every interview into structured signal.

Design once. Interview consistently. In-Flow runs adaptive voice, chat, and video conversations—then turns the evidence into reports your team can act on.

Open-source foundation Bring your own AI keys Supabase data layer
Senior AI Architect
LIVE04:32
Question 3 of 6Voice

How would you design an AI platform that remains reliable as usage scales?

Explore architecture, observability, failure recovery, and the trade-offs you would make.

Live transcript

In-Flow

What would you monitor first when the system is under load?

Candidate

I would begin with latency, error rate, saturation, and queue depth...

Live signals

86%

Clarity

High

Confidence

Voice · Chat · Video

One interview, every channel

6 question formats

From open response to code

Live transcription

A complete evidence trail

AI reports

Scores, insights, and exports

One connected workflow

Everything between the question and the decision.

In-Flow brings interview design, the candidate experience, team collaboration, and analysis into one system.

Build with AI

Describe the role, research goal, or scenario. In-Flow creates the questions, criteria, and interview settings for you.

Natural voice interviews

Real-time voice conversations with adaptive follow-ups, live transcription, and graceful reconnects.

Technical assessments

Use coding, whiteboard, single-choice, multiple-choice, open response, and research questions.

Reports that are ready to use

Get transcripts, per-question evaluation, assessment scores, highlights, communication signals, and exportable reports.

Interview integrity

Optional camera, microphone, screen sharing, tab monitoring, paste controls, and integrity logs.

Built for teams

Organize interviews across organizations and projects with roles, reusable questions, candidates, and shared results.

API-first automation

Create interviews, add candidates, publish links, and retrieve session results through the documented REST API.

How it works

From brief to evidence in four steps.

Keep people focused on decisions while In-Flow handles the repetitive parts of interviewing.

01

Describe the outcome

Start from a job description, research brief, or your own question set.

02

Shape the interview

Review questions, criteria, tone, follow-up depth, and channel settings.

03

Invite and run

Share a public link or invite candidates for voice, chat, or video.

04

Review the signal

Use the transcript, evidence, scores, and summary to make the next decision.

Flexible by design

One platform, different conversations.

Hiring

Screen consistently, at any scale

Give every candidate the same structured experience while preserving room for intelligent follow-up questions.

  • Behavioral and technical interviews
  • Candidate imports and invite links
  • Evidence-backed evaluation
Research

Go deeper than a survey

Run repeatable discovery interviews that probe for context, examples, pain points, and quotable evidence.

  • Adaptive research follow-ups
  • Topic and data-point extraction
  • Cross-session findings
Practice

Turn preparation into progress

Rehearse against a target role, receive coaching after every answer, and track improvement across attempts.

  • Resume and job context
  • Voice or text rehearsal
  • Suggested answers and scores

Your process. Your data. Your stack.

In-Flow uses Supabase authentication, PostgreSQL, storage, and row-level security. Deploy it to your own infrastructure and connect the AI providers that fit your environment.

Organizations & projects

Separate teams, workspaces, interviews, and permissions.

Provider flexibility

Use OpenAI directly or connect supported alternatives.

Auditable evidence

Preserve transcripts, scoring, reports, and integrity events.

Developer API

Automate interview creation and results retrieval with REST endpoints.

Ready when you are

Make the next conversation count.

Create your first structured AI interview, share the link, and let In-Flow turn the conversation into clear evidence.

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