A bug sat for years because the fix meant a month of digging. AI traced the fragmented code to draft a solution in three days.
A global revenue platform manages a decade of engineering investment across fragmented codebases built in Java, Ruby, TypeScript, Python, and Scala.
Technical context was scattered across outdated documentation and senior staff, meaning onboarding to new codebases took weeks of manual research....
“Factory has nearly doubled my productivity. It helps me deliver higher-quality code faster, onboard to new codebases more smoothly, review PRs more efficiently, and even brainstorm ideas more effectively.”
AI-powered revenue platform for sales forecasting and pipeline management.
AI software development agents for automating engineering workflows.
Clari's Software engineering is part of this use case:
Related implementations across industries and use cases
Feature requests once sat in backlogs. Now, developers let AI generate working preview branches in minutes for real-time customer review.
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
Rapid code changes left documentation outdated for weeks. An AI agent now monitors every commit and auto-generates PRs to fix discrepancies.
Feature requests once sat in backlogs. Now, developers let AI generate working preview branches in minutes for real-time customer review.
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
A bug sat for years because the fix meant a month of digging. AI traced the fragmented code to draft a solution in three days.
A global revenue platform manages a decade of engineering investment across fragmented codebases built in Java, Ruby, TypeScript, Python, and Scala.
Technical context was scattered across outdated documentation and senior staff, meaning onboarding to new codebases took weeks of manual research....
“Factory has nearly doubled my productivity. It helps me deliver higher-quality code faster, onboard to new codebases more smoothly, review PRs more efficiently, and even brainstorm ideas more effectively.”
AI-powered revenue platform for sales forecasting and pipeline management.
AI software development agents for automating engineering workflows.
Clari's Software engineering is part of this use case:
Related implementations across industries and use cases
Feature requests once sat in backlogs. Now, developers let AI generate working preview branches in minutes for real-time customer review.
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
Rapid code changes left documentation outdated for weeks. An AI agent now monitors every commit and auto-generates PRs to fix discrepancies.
Feature requests once sat in backlogs. Now, developers let AI generate working preview branches in minutes for real-time customer review.
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.