AI-native workflow. Scale UX research without scaling costs, headcount, or errors. Reduce delivery costs and increase project throughput. Give product teams research capacity without building a larger team. Standardize and scale research execution across the team.

Book a demo
See how it works
Aseed application interface in light theme — research workspace with navigation and content panels.
Preparation

Start with the right research setup

Turn scattered input into a clear brief and interview guide your team can actually use

Create a clear research brief

Define the study goal, decision context, and key hypotheses before fieldwork starts

Research objectives panel with product and company context, decision-making frame, and hypotheses to test.

Build a usable interview guide

Generate focused questions and probing logic so interviews stay aligned and useful

Interview guide panel with screening and current workflow questions grouped into structured blocks
Data collection

Collect the right research data

Use synthetic transcripts for fast exploration, AI-led interviews for scalable live research, or upload your own interviews into one shared workflow

Synthetic data

Explore common patterns, pressure-test assumptions, and refine the research setup before talking to real respondents

Portraits representing synthetic respondent simulations.

AI Interviewer

Collect live user input at scale with an AI interviewer that follows your guide and keeps interviews structured

Portraits representing AI-led interview sessions.

Upload your records

Bring in audio, video, or text from human-led interviews and analyze everything in the same workflow

Portraits representing uploaded human interview records.
Analysis

Turn research into decisions

See each interview clearly, synthesize the whole study, and keep the research queryable after the reports are done

Single Reports

See each interview clearly with a structured report for every respondent

Project Reports

See the whole study in one synthesized report across all interviews

Post-Analysis Q&A

Ask follow-up questions across transcripts and reports after analysis is done

Better research economics

Cut costs. Rise outcomes.

Spend less time on manual research and move faster toward better product decisions

Book a demo
Research ROI chart comparing indexed costs and revenue over time, with ROI potential highlighted.

Platform coverage

Value-first capabilities

Designed for scale, traceability, and human control across the entire research lifecycle.

Research BriefsInterview GuidesAI interviewingTranscriptionSingle ReportsProject ReportsPost Analysis Q&A

Scale research

Run more research without adding headcount. Automate repetitive work while keeping strategic oversight.

End-to-end coverage

From briefs and interview guides to transcription, single and project reports, and Q&A across projects—in one cohesive platform.

Traceable outputs

Insights link back to source interviews and transcripts. Evidence stays inspectable for stakeholders.

Human control

AI assists; your team owns framing, prioritization, methodology, and how results are presented.

Choose your path

Built for your team

Choose the path that matches your operating model: delivery economics, limited research capacity, or standardized research execution.

Agencies / Consultancies

Reduce delivery cost and expand throughput while your team owns client work.

Agencies / Consultancies

Reduce delivery cost and expand throughput while your team owns client work.

  • Increase project throughput
  • Lower manual delivery workload
  • Use AI interviews where scale matters
  • Upload human-led interviews where nuance matters
  • Standardize reports across accounts
  • Keep client communication human-owned
Explore this path →

Product Teams

Give more teams access to structured research when capacity is limited.

Product Teams

Give more teams access to structured research when capacity is limited.

  • Turn product questions into research briefs
  • Build focused interview guides
  • Use AI-led interviews to expand coverage
  • Review source-linked transcripts and reports
  • Reduce assumption-driven decisions
  • Keep prioritization human-owned
Explore this path →

UX Research Leaders

Standardize setup, analysis, and reporting so quality is repeatable.

UX Research Leaders

Standardize setup, analysis, and reporting so quality is repeatable.

  • Align teams on briefs and interview guides
  • Standardize single and project reports
  • Preserve traceability to transcripts
  • Make synthesis inspectable after delivery
  • Reduce workflow variation across studies
  • Keep methodology decisions human-owned
Explore this path →

Trusted by forward-thinking teams

UX Agency
18+ years on the market2,000+ delivered projects70+ experts

One of the leading UX-research agencies in Russia & CIS relies on Aseed Insight, while we refine the platform with their hands-on expertise.

Dmitry Satin
Dmitry Satin
Founder & CEO UsabilityLab
Tomorrow, no serious UX project is complete without an AI assistant. Aseed already demonstrates how to blend the academic rigor of qualitative methods with the computational power of AI.

  • Aseed cuts our manual coding time in half for every in-depth interview.

    Anna Minaeva
    Anna Minaeva
    Lead UX Researcher

  • The report structure matches our framework out of the box, shortening the decision loop for clients.

    Kirill Kozlov
    Kirill Kozlov
    Head of Analytics

  • Versioned reports make it easy to track hypothesis evolution after follow-up interviews.

    Irina Denisova
    Irina Denisova
    Research Team Lead

  • We added Aseed to the curriculum so students can see how AI accelerates classic research methods.

    Olga Altabaeva
    Olga Altabaeva
    Head of UL School

  • Aseed turns tedious transcript checks into a breeze, freeing time for deeper behaviour analysis.

    Ruslan Savvotin
    Ruslan Savvotin
    UX Expert
Community
25k+ Founders & Makers79 Countries3+ Years Building Together

Largest global Russian-speaking community of entrepreneurs. Together we empower early-stage teams to validate ideas faster—MESTO brings the builders, Aseed brings the AI insights.

Olga Chefurko
Olga Chefurko
Head Community Manager @ Mesto
Aseed helps our founders turn raw user talks into data-driven product bets in hours, not weeks — exactly the velocity Mesto stands for.

Ready to scale your research?

Book a demo to walk through your research process, team setup, and the controls that keep humans in the loop.

Book a demo
Explore the platform

Frequently Asked Questions

Aseed is an AI-native end-to-end research platform for teams, researchers, product organizations, and agencies that need to run more research with less manual effort.

  • Scope: Aseed supports the workflow from research setup to synthesis and follow-up analysis.
  • Why it matters: It helps overloaded teams handle more research with less manual effort and fewer capacity bottlenecks.

Research agencies and consultancies: Reduce delivery cost, increase throughput, and scale execution without hiring in proportion to demand.

Product teams with limited research capacity: Expand research capacity, support more teams, and bring evidence into product decisions earlier.

UX Research leaders: Standardize execution, improve repeatability, and make outputs more traceable across the team.

Aseed covers the core qualitative interview workflow end to end.

  • Setup: Research briefs, research context, and interview guides.
  • Execution: AI interviewing or human-led interviews, plus transcription.
  • Outputs: Single-interview reports, final project reports, and follow-up Q&A across projects.

Aseed automates the repetitive parts of research execution and synthesis, so teams can support more studies without scaling headcount at the same rate.

  • More throughput: Run more studies, serve more teams, or handle more client work with the same core team.
  • Less manual work: Reduce time spent on transcription, structuring findings, and report assembly.
  • More consistency: Standardize execution across projects instead of rebuilding the workflow each time.

Aseed is built around traceability. The goal is not blind automation, but outputs teams can inspect and defend.

  • Evidence-linked outputs: Insights can be traced back to source interviews and transcripts.
  • Inspectable synthesis: Teams can review how findings were structured instead of accepting a black-box summary.
  • Human review: Researchers stay involved where judgment, prioritization, and stakeholder context matter.

No. Aseed supports the research function; it is not a fully autonomous replacement for it.

  • Teams own the framing: Business questions, priorities, and stakeholder context stay with the team.
  • Teams own the judgment: Method choices, interpretation, and final recommendations still require human oversight.
  • Aseed handles leverage: The platform helps execute and synthesize work faster, with more consistency and less manual effort.

The demo is tailored to your team and workflow. The goal is to assess fit, not push a one-size-fits-all sales pitch.

  • We look at your workflow: How your team runs research today, where the bottlenecks are, and what needs to stay under human control.
  • We map Aseed to your use case: The conversation focuses on the capabilities most relevant to your team, not a generic product tour.
  • We discuss next steps: If there is a fit, we outline a practical path to pilot or rollout. Submitting a demo request does not commit you to either.