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#5812 Radar 31

Co-creates and scales AI products with enterprises, measured by P&L outcomes.

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Product memo

Finden partners with enterprise teams to build and distribute AI products, focusing on measurable P&L outcomes over billable hours. It embeds with client teams, using its AI Platform starting point to move from initial concept to production-ready software in weeks. This approach addresses common scaling failures in enterprise AI development.

For who

Enterprise teams in Finance, Travel, Retail, Telco, DevOps

Solves what

Co-creating and scaling AI products from idea to production and P&L.

  • AI product co-creation sprints
  • AI strategy and advisory
  • AI-native distribution services
"

In their own words

From possibility

to profitability.

We co-create and co-distribute AI products with enterprise teams — embedded with your people, on your stack, measured in P&L not hours.

Commercial cues

Pricing snapshot contact only pricing

Model

contact only

Free tier

No

Trial

No

No public pricing tiers captured.

Pricing Strategy

Pricing is custom and structured around outcome-based enterprise services, with quarterly billing for co-creation and co-distribution of AI products.

Key Tactics
  • Focuses on P&L outcomes, not billable hours, aligning incentives.
  • Offers custom engagements for enterprise AI product development.
  • Visible limits define plan boundaries.

Operator context

Team

VC / larger team

Founded

Aug 2025

Platform

Web app

Audience

General

Builder Strategy

Strategy Type
Wedge Expand
Stage
Vc Growth
Effort
Complex Stack
About Finden Expand

Finden offers enterprise AI services, partnering with large organizations in sectors like Finance, Travel, Retail, Telco, and DevOps. It helps these teams move from initial AI product ideas to full production and measurable P&L impact.

The company embeds directly with client teams, working on their existing tech stack, and leverages an AI Platform starting point to speed up development. This co-creation and co-distribution model bypasses common challenges in enterprise AI adoption, ensuring that AI initiatives deliver tangible business results rather than just completed projects.