Askiva | AI Agent | Alternates | Alternates - AI Agent Discovery Platform

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Askiva

Name: Askiva
Price: Contact for pricing USD
Author: Askiva

Backed By Askiva

AI agent automating interviews, insights, and research for HR and teams.

HR & Recruitment

Overview

Askiva is an AI-powered research agent that automates interviews from start to finish. Users upload a participant list and define their topic—Askiva schedules, conducts, and analyzes interviews autonomously. It supports over 10 languages, asks intelligent follow-up questions, and delivers auto-transcribed recordings, sentiment scores, and actionable summaries. This enables HR teams, universities, and enterprises to gather deep insights and make data-driven decisions with zero manual effort.

Use Cases

Automate interviews for UX, academic, and market research

Schedule, conduct, and analyze interviews in over 10 languages

Receive auto-transcribed recordings and sentiment scores

Generate actionable summaries for data-driven decisions

Conduct employee engagement surveys

Gather deep insights with zero manual effort

Product Info

Deployment Method

API-basedSaaS

Model Type

Closed Source

Support

Pricing

Early Access / Beta

Free / 2 Months Free

Exclusive access before public launch

Standard/Pro (Future)

N/A (Expected Subscription)

Full automation of research interviews

Alternates Research On The Product

Top Features

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AI-Led Autonomous Interviews (24/7)

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Automated Scheduling, Invites, and Reminders

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Persona and Tone Customization

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Multi-Language Support (10+ languages)

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High-Quality Auto-Transcribed Recordings

Strengths

Promises 24/7 operation and simultaneous interviews (scale to 1,000+).
Focus on delivering 'evidence people can trust' (rigor, repeatability).
Automates the entire logistic nightmare (scheduling, no-shows).
Generates structured, citable outputs (themes, sentiment scores, PDF reports).

Weaknesses

Risk of AI 'hallucinations' or misinterpretation of complex qualitative feedback.
Potential bias in AI-summarized themes based on the training data.
Instability during the Beta phase.
N/A (Priority support offered for early users).
N/A (No pricing available).

Reviews From The Web

Real user experiences from across different platforms

Imagine: Weeks wasted chasing no-shows. Endless spreadsheets. Biased data. By the time you finish, your project is already outdated. Now. AI schedules interviews overnight. Asks unbiased questions 24/7. Delivers analyzed insights by breakfast.

N/A (Askiva Team)

N/A

Askiva.io

Recommendations

Product teams or founders who need to quickly validate ideas and conduct a high volume of interviews (100+ interviews) without manual scheduling

date ideas and conduct a high volume of interviews (100+ interviews) without manual scheduling.

Researchers needing to conduct global studies across time zones and multiple languages with consistent, unbiased questioning

ss time zones and multiple languages with consistent, unbiased questioning.

Qualitative researchers whose methodology strictly requires a human moderator to observe non-verbal cues and build rapport

requires a human moderator to observe non-verbal cues and build rapport.

Budget-conscious users who cannot afford high-volume AI usage (future pricing risk)

me AI usage (future pricing risk).

Final Verdict

Transforming the research process from weeks of manual logistics and biased data gathering to automated, 24/7 interviewing and instant, unbiased, and structured insights.

Best For

•Product teams or founders who need to quickly validate ideas and conduct a high volume of interviews (100+ interviews) without manual scheduling.
•Researchers needing to conduct global studies across time zones and multiple languages with consistent, unbiased questioning.
•Teams that prioritize speed of insight delivery over human-moderated qualitative depth.

Watch Out For

•N/A (Too new to have established dealbreakers, but lack of pricing is a barrier).
•Risk of AI 'hallucinations' or misinterpretation of complex qualitative feedback.
•Potential bias in AI-summarized themes based on the training data.
•Instability during the Beta phase.

Currently in an early access/waitlist phase (Beta). The quality and depth of complex follow-up questions are dependent on the underlying LLM's capability and user's instruction quality. No pricing details available yet (expected to be subscription-based). Interviews are conducted by the AI agent, removing the ability for human researchers to observe non-verbal cues directly.

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