The Interview Problem No One Solved (Until Now)

Interviews are everywhere and yet they are broken and unoptimized. Whether it is a candidate being screened for a job role, a researcher gathering insights, a compliance officer checking for risk, or a manager onboarding a new team member interviews are critical moments to make decisions.

But they are manual, inconsistent, and very operational tasking and this makes scaling really tough. We think that is a huge opportunity to automate and reimagine interviews.

Agentic AI Is the Next Layer of Infrastructure

We are entering a world where autonomous agents are running conversations and making decisions to improve productivity and scalability.

We believe interviews across industries and use cases should become programmable, measurable, and integrated into systems that can act on the results in real time with minimal overhead and costs.

That is why we are building Merizia: An Agentic AI infrastructure for running interviews at scale, across use cases, users can easily plug in through our APIs and SDKs.

Why Interviews, and Why Now?

Interviews are still one of the most high-leverage activities that don’t scale without painful tradeoffs.

Think about it:

• Recruiters waste hours on no-show candidates

• Researchers struggle to transcribe, tag, and analyze qualitative data

• Compliance teams run interviews just to log results manually

• Managers onboard people inconsistently, leading to churn and confusion

These inefficiencies are blockers to to speed, fairness, and growth

Our Vision: Interview Infrastructure That Works Anywhere

At Merizia, we are building a backbone. One that any platform or team can plug into easily and let intelligent AI agents run structured interviews for them.

Think of it like Stripe for interviews.

Use cases we already support:

• Hiring: async or real-time AI interviews with role-based questions and scoring

• Research: dynamic participant conversations with transcription and insights

• Compliance: structured interviews with integrity checks and audit trails

• Support QA: post-case interviews or knowledge checks run automatically

• Internal Mobility: skill/interest interviews to match people to internal roles

What Merizia Will Do in Its MVP

At the end of July, we are launching our MVP to show how flexible, reliable, and powerful interview infra can be.

Here are the full lists of features to expect:

• AI Interview Scheduling: Let users pick a time or interview asynchronously

• Agentic Interview Flow: LLM-based agents conduct interviews based on a structured goal

• Real-Time Scoring + Transcripts: API-accessible, context-tagged results

• Integrity Monitoring: Camera-optional CV models to detect anomalies and red flags during the interviews

• API-First Infrastructure: Plug it into your existing workflow, platform, or process to ensure a seamless experience

And at the end of Q3, we are on track to launch Partner SDKs to offer plug-and-play capabilities to trigger interviews within your existing stack effortlessly.

Who We are Building For

If you are:

• A hiring team running hundreds of interviews a month

• A SaaS platform that needs structured conversations built in

• A research company with thousands of interviews to analyze

• A compliance team who wants audit-grade interview records

• Or a startup tired of wasting time on noisy, low-signal, and unstructured interviews

Merizia is for you.

Be Part of What We are Creating

We believe interviews are one of the last unsolved problems of scale in modern work. And we are excited to be building an infrastructure that automates and upgrades them. If you are building a team, a platform, or a product that depends on intelligent conversations, let us talk.

🤖 Request Early Access

Tags: Product Updates, AI Infrastructure, Agentic AI, Interview Automation, Hiring, Research, Compliance, APIs, MVP