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Industries

Patterns that travel.

Across startups and enterprises in many industries, the same questions come up: how to put AI agents to work, make data usable, and connect systems safely.

Where we help

Typical use cases we build on Google Cloud, by industry.

Financial services

Agents that summarize documents and answer policy questions, conversational analytics on governed financial data, and API layers that keep sensitive systems controlled.

  • Document and policy assistants
  • Self-serve analytics for finance teams
  • Secure APIs for internal agents

Four patterns, many industries

Most of our work falls into four repeatable patterns. Here is where each one tends to show up.

01

Knowledge & document assistants

Agents grounded on your policies, SOPs and documents that answer questions and draft the next step.

  • Financial services
  • Healthcare & life sciences
  • Manufacturing & logistics
  • Media & communications
02

Self-serve, plain-language analytics

Conversational Analytics data agents on governed BigQuery models, for teams who wait on reports today.

  • Financial services
  • Retail & consumer
  • Manufacturing & logistics
  • Media & communications
03

AI-ready data platforms

BigQuery modernization that serves analysts and agents from the same well-documented tables.

  • Healthcare & life sciences
  • Retail & consumer
  • Technology & startups
04

Secure APIs agents can call

Apigee and Application Integration so agents act on core systems with authentication and limits.

  • Financial services
  • Media & communications
  • Manufacturing & logistics
  • Technology & startups

Bring us your industry’s hardest problem.

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