Nastya wrote specs three times per feature, plus a week of competitive research. Now she writes once—AI handles desktop, web, and mobile.
A fintech company with cross-platform products spanning desktop, web, and mobile, managed by a product owner responsible for the full cycle from competitive research through feature delivery.
Feature releases required six to eight weeks end-to-end, with competitive analysis alone consuming a full week per research cycle. Requirements...
“AI 在「從零開始起草」方面表現出色，它能提供一個起點，而非直接給出最終答案。”
Global prime broker and multi-asset trading platform for institutional investors.
EXANTE's Product development is part of this use case:
Related implementations across industries and use cases
Tripled coding output bottlenecked at manual admin. Now, AI agents monitor Slack to auto-update docs and run first-pass tech reviews.
Legacy tools failed at complex migrations. Claude Code now navigates the full codebase, cutting API builds from 2 days to 5 hours.
Each payroll meant up to 20 manual transfers; each invoice re-keyed from a spreadsheet. Agents now prepare both; owners approve once.
Legacy tools failed at complex migrations. Claude Code now navigates the full codebase, cutting API builds from 2 days to 5 hours.
Talent shortages held back delivery. Engineers now use AI to review code 90% faster and cut 24-hour tasks to one hour.
Engineers capped at basic chat, complex work out of reach. Now 700 tackle cross-jurisdiction compliance reviews in hours, not weeks.
Treated as a plug-in, not a platform. Now 370+ scenarios handle 10M+ daily AI calls — and new models ship in a day, not two weeks.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Nastya wrote specs three times per feature, plus a week of competitive research. Now she writes once—AI handles desktop, web, and mobile.
A fintech company with cross-platform products spanning desktop, web, and mobile, managed by a product owner responsible for the full cycle from competitive research through feature delivery.
Feature releases required six to eight weeks end-to-end, with competitive analysis alone consuming a full week per research cycle. Requirements...
“AI 在「從零開始起草」方面表現出色，它能提供一個起點，而非直接給出最終答案。”
Global prime broker and multi-asset trading platform for institutional investors.
EXANTE's Product development is part of this use case:
Related implementations across industries and use cases
Tripled coding output bottlenecked at manual admin. Now, AI agents monitor Slack to auto-update docs and run first-pass tech reviews.
Legacy tools failed at complex migrations. Claude Code now navigates the full codebase, cutting API builds from 2 days to 5 hours.
Each payroll meant up to 20 manual transfers; each invoice re-keyed from a spreadsheet. Agents now prepare both; owners approve once.
Legacy tools failed at complex migrations. Claude Code now navigates the full codebase, cutting API builds from 2 days to 5 hours.
Talent shortages held back delivery. Engineers now use AI to review code 90% faster and cut 24-hour tasks to one hour.
Engineers capped at basic chat, complex work out of reach. Now 700 tackle cross-jurisdiction compliance reviews in hours, not weeks.
Treated as a plug-in, not a platform. Now 370+ scenarios handle 10M+ daily AI calls — and new models ship in a day, not two weeks.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.