STARTUPS

AI agent for product validation in startups

Every feature built on an unvalidated hypothesis is risk: the agent gathers signals from customers and the market to confirm or drop the idea with evidence, before you spend the budget.

AI agent for product validation in startups

An AI agent for product validation in startups integrates with your tools and current flow, with human supervision and traceability. Before automating we define the task, exceptions and success criteria.

We work from Barcelona and Madrid and remotely across Spain, Europe, LATAM and the United States. The agent adapts to your sector and real process, not the other way round.

We hand over the agent, its configurations, repositories and documentation in accounts owned by your company, without lock-in and with the ability to audit or rotate credentials.

Every feature built on an unvalidated hypothesis is risk: the agent gathers signals from customers and the market to confirm or drop the idea with evidence, before you spend the budget.

THE CHALLENGE

product validation in startups

In product validation in startups, manual work is slow, depends on staff and leaves room for error; automating it without knowing the sector's flow is a risk. The difference is an agent with rules, exceptions and control, built for your operation.

  • Unanalysed interviews

    User interviews pile up without transcription or analysis, and key learnings are lost.

  • Unvalidated hypotheses

    Features launch without checking whether they solve a real problem, burning time and budget.

  • Scattered market signals

    Survey, test and analytics data live in different places and are not consolidated to decide.

APPROACH

product validation in startups

An agent with rules, exceptions and milestone control, adapted to your sector.

  1. Interview transcription

    The agent transcribes and analyses interviews and surveys to extract pains and recurring patterns.

  2. Hypothesis formulation

    It turns findings into testable hypotheses with defined success criteria.

  3. Test design

    It proposes experiments, surveys or prototypes to validate each hypothesis at minimal cost.

  4. Team supervision

    The founder or product manager validates conclusions and the agent logs the traceability of each test.

DELIVERABLES

product validation in startups

An operational, traceable agent under your control.

  • User insights

    Pains and patterns extracted from interviews and surveys, documented.

  • Prioritised hypotheses

    List of testable hypotheses ordered by risk and impact.

  • Experiment plan

    Tests and prototypes designed to validate each hypothesis at minimal cost.

  • Validation record

    Traceability of hypotheses, tests and results to decide with evidence.

TRUST

AI applied to real sector processes with supervision

AI agents adapted to your sector's real operations since 2008, with human supervision, traceability and milestone control in Barcelona, Madrid and remote. Code and documentation under your control, without lock-in.

  • Adapted to your sector's real operation.
  • Human supervision with milestone and exception control.
  • A measurable first release before expanding scope.
  • Code, configurations and documentation under your control.

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