Cresh logoCresh
Book a demo

We turn subjective decisions into measurable results.

Cresh is an AI framework that automates the evaluation of unstructured content: from idea and project descriptions to product submissions and marketing concepts.

Results are repeatable, metric-based, and ready to use in your processes.

Start a pilotSee how it works

11,500+ evaluations generated, 1,600+ users

Problem

Subjective content evaluation costs organizations time, money, and decision accuracy.

Every day, teams evaluate:

Innovation ideas
Internal projects
Campaign concepts
Product submissions
Operational materials

The biggest challenges:

No comparability: every description looks different.
Subjectivity: results depend on who is evaluating.
No scalability: manual analysis can't keep up with business pace.
Risk of errors and implementation costs: decisions are made "by feel".

Cresh B2B solves this structurally, through metrics, data, and automation.

Solution

An AI framework for organizations that want to make decisions based on data, not descriptions.

Cresh B2B transforms unstructured content into measurable and comparable results. It works where your processes already exist, integrating with tools like Jira, Submit.com, Confluence, or SharePoint.

Core values of Cresh:

  • Remarkable simplicity of AI agent usage

    No prompts, no coding. You define the metrics, and the engine does the rest.

  • Full control over data sources

    Analysis runs exclusively on designated resources and internal data, with full privacy.

  • Reduced hallucinations

    Closed scales and metrics ensure the engine doesn't generate "opinions". It evaluates based on facts.

  • Universal applicability

    Innovation, marketing, HR, operational projects, audits: anywhere you have descriptive content.

Schedule a consultation

Configurable metrics

You define your own metrics tailored to your organization's processes.

Each metric has its own scale, context, and guidelines. Full control on your side.

Cresh B2B provides the evaluation engine that runs on the metrics you define.

Example metric groups (4 metrics each):

  • Innovation:

    • Novelty Score
    • Patent Collision Risk
    • Market Differentiation
    • Innovation Depth

  • Market & Business:

    • Market Size Fit
    • Customer Pain Relevance
    • Competitive Exposure
    • Adoption Barrier Index

  • Technical Feasibility:

    • Technical Feasibility
    • Integration Complexity
    • Scalability Robustness
    • Security & Compliance Maturity

  • Operational Feasibility:

    • Resource Readiness
    • Timeline Predictability
    • Vendor/Partner Dependency
    • Internal Capability Fit

  • Deployment & Scaling:

    • Go-to-Market Clarity
    • Cost-to-Value Ratio
    • Risk Concentration
    • Strategic Alignment
Schedule a consultation

Use Cases

Cresh B2B in practice

  • Marketing: campaign concept evaluation

    4 ideasAI analysisEliminating weak directions before media spendReal budget savings

  • Innovation team: employee idea selection

    100 ideas per monthInitial filtering of 20 infeasible ones30 outside strategyTeam works only on the best 50

  • Operational projects and audits

    Standardized evaluations of documents, plans, and action proposals.

Why now?

AI has moved from experiments to real deployments. Now is the best time to start.

  • AI is present in organizations across every industry today, and its role is steadily growing.
  • More and more organizations are investing in tools that increase decision repeatability.
  • The market expects solutions that integrate with processes, not just another "AI toy".

Cresh addresses exactly that need: metrics, integrations, and consistency.

Start implementing AI in your organization: simply, safely, with real value from day one.