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Finden

Finden

AI workspace to unify, automate, and run your business

Overview

What it is

Finden is your AI workspace for all your data, across drives, devices, and applications. Organize files, enrich your data, chat with your data, and automatically find what matters in your Memory Bank.

Intent

I need it when

Ensure AI systems are governed, auditable, and production-ready for regulated industries

Finden's platform includes pre-wired guardrails, PII stripping, cost controls, audit logs, and RBAC with Microsoft Defender for Cloud integration. Their governance and audit phase ensures systems meet compliance requirements before production deployment across Finance, Telco, and Retail sectors.

Identify and prioritize high-value AI workflows that directly impact unit economics

Finden's AI Strategy & Advisory service maps workflows where AI changes economics, helps leadership choose the right platforms, and prioritizes where to start. Their discovery phase (weeks 1-2) assesses data fitness, risk profile, and economic upside before committing to build.

Scale AI pilots from proof-of-concept to production-ready systems within enterprise timelines

Finden co-creates and co-distributes AI products with embedded teams, delivering working software from first sprint to P&L in weeks. Their 12-week methodology (Explore → Scope → Build → Pilot → Production) addresses the 95% GenAI pilot failure rate by building on real data and measuring success in business outcomes rather than hours.

Establish go-to-market strategy and distribution infrastructure for AI products

Finden's Co-Distribution capability designs GTM strategies, builds SEO/GEO foundations for AI discovery, and runs agent-powered growth systems. This addresses the McKinsey finding that 61% of businesses using AI never see it show up in their P&L due to poor distribution.

Build AI products on existing cloud infrastructure without replacing the entire tech stack

Finden's platform runs on your cloud, your models, and your data. They build platform components where they accelerate and custom solutions where needed, ensuring products integrate with existing stacks (AWS, Azure, Snowflake, Databricks) rather than requiring wholesale infrastructure changes.

Drop

Not a fit when

  • Organizations seeking off-the-shelf AI software with transparent, fixed pricing
  • Teams requiring immediate deployment without 8-12 week co-creation timelines
  • Businesses with limited AI expertise who need turnkey solutions rather than embedded partnership models
  • Projects where the organization prefers to retain full control without external team integration
  • Companies operating on strict CapEx budgets unable to accommodate outcome-based engagement models
Commercials

Pricing

Custom engagement-based pricing; billed on outcomes rather than hourly seats. Typical engagements range from 6-week sprints to quarterly embedded teams.