Engagements from across our four practices. Each case study sets out the operating challenge we were asked to solve, the team and approach we brought, the work delivered, and the outcomes that followed.
Drawn from the team compositions, tech stacks, and engagement scopes Alternative Path is currently running.
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A narrative from ad-hoc tooling to orchestrated, skill-native QE — from copy-pasted chat prompts to a skill-based architecture and QE Copilot.
We staff and run the team that turns the public web, vendor feeds, and alternative sources into the proprietary datasets investment teams use every day.
We staff and run the teams migrating legacy pipelines onto a cloud-native, Snowflake- and Iceberg-backed architecture, and operating the AI-assisted data quality engine that protects downstream investment workflows.
A multi-year engagement covering quality engineering, performance engineering, infrastructure-as-code, and L1/L2 support, run as one function for a platform that converts unstructured fund documents into clean institutional data.
A senior SDET-led team running the offshore quality function and driving the shift from manual to automation-first testing, integrated directly into the release pipeline.
A long-running partnership staffing senior Python, React, and full-stack engineers who ship features into a production fintech platform alongside the client's onshore team.
We run the operational backbone of a credit intelligence platform: PostgreSQL and MySQL administration, IT support across global offices, and data support for the platform's customers.
We run the client-facing implementation function: data onboarding, custom report and template configuration, and the data quality work that keeps each new customer's deployment trustworthy.
A managed Finance engagement covering fund accounting, partner allocations, waterfall review, third-party administrator oversight, and the full US tax compliance cycle across the firm's funds, blocker entities, and fund-of-fund structures.