Case studies

Complex work. Clear outcomes.

A selection of anonymized client engagements. We protect client confidentiality while sharing the delivery context, technical approach, and measurable results that matter.

How to read these

Built around the work, not the buzzwords.

Client names and sensitive implementation details are withheld where confidentiality agreements apply. Each case study focuses on the business challenge, the production system delivered, and the outcome reported by the client. Metrics are labeled by their source and are not presented as independently audited unless a public source is available.

Featured work
AI Development

AI Document Intelligence Platform

2024

Legal Tech Firm · Legal

A confidential legal technology client needed attorneys to find reliable answers across a growing document estate without losing source traceability. We delivered a production retrieval-augmented generation platform with document ingestion, permission-aware search, cited responses, and a review workflow for low-confidence answers.

Challenge

Manual review across thousands of documents was slowing matter preparation and making consistent knowledge retrieval difficult.

Delivered

Production RAG platform with cited answers, role-aware access, document processing, evaluation cases, and human review controls.

Outcome

Client-reported 87% reduction in document review time

Client-reported outcome from the delivery closeout; organization name and supporting materials remain confidential under agreement. Not independently audited.

RAGLangChainOpenAIPostgreSQLReact
Custom Software

Real-Time Trading Dashboard

2024

Fintech Scale-up · Finance

A confidential fintech scale-up needed one operational view of fast-moving, multi-asset market data for internal teams. We engineered a real-time dashboard with streaming data ingestion, portfolio views, custom charting, and infrastructure designed for high-throughput event processing.

Challenge

Teams were working across fragmented data views and needed timely, consistent visibility into market activity and portfolio positions.

Delivered

Real-time web application with WebSocket streaming, event processing, Redis-backed state, custom visualizations, and containerized deployment.

Outcome

Designed to process 50k+ events per second at sub-100ms latency

Performance target was validated in the client delivery environment during acceptance testing; organization name and test artifacts remain confidential. Not independently audited.

ReactWebSocketsGoRedisKubernetes
All projects
AI Development2024

AI Document Intelligence Platform

Legal Tech Firm · Legal

A confidential legal technology client needed attorneys to find reliable answers across a growing document estate without losing source traceability. We delivered a production retrieval-augmented generation platform with document ingestion, permission-aware search, cited responses, and a review workflow for low-confidence answers.

Challenge

Manual review across thousands of documents was slowing matter preparation and making consistent knowledge retrieval difficult.

Delivered

Production RAG platform with cited answers, role-aware access, document processing, evaluation cases, and human review controls.

Outcome

Client-reported 87% reduction in document review time

Client-reported outcome from the delivery closeout; organization name and supporting materials remain confidential under agreement. Not independently audited.

RAGLangChainOpenAIPostgreSQLReact
Custom Software2024

Real-Time Trading Dashboard

Fintech Scale-up · Finance

A confidential fintech scale-up needed one operational view of fast-moving, multi-asset market data for internal teams. We engineered a real-time dashboard with streaming data ingestion, portfolio views, custom charting, and infrastructure designed for high-throughput event processing.

Challenge

Teams were working across fragmented data views and needed timely, consistent visibility into market activity and portfolio positions.

Delivered

Real-time web application with WebSocket streaming, event processing, Redis-backed state, custom visualizations, and containerized deployment.

Outcome

Designed to process 50k+ events per second at sub-100ms latency

Performance target was validated in the client delivery environment during acceptance testing; organization name and test artifacts remain confidential. Not independently audited.

ReactWebSocketsGoRedisKubernetes
API Integration2023

E-Commerce ERP Integration

Retail Group · Retail

A retail group was managing orders, inventory, and fulfillment across six storefronts, a legacy ERP, three warehouses, and external logistics partners. We built an integration layer that normalized data, synchronized operational events, and surfaced exceptions before they became customer issues.

Challenge

Manual reconciliation between commerce, ERP, warehouse, and fulfillment systems created delays and inventory risk.

Delivered

Event-driven integration layer with API connectors, transformation rules, retry handling, operational monitoring, and exception workflows.

Outcome

Six operational systems unified with manual synchronization removed from the core workflow

System scope is documented in the delivery brief; client name and implementation records remain confidential under agreement. No public source is available.

Node.jsKafkaRESTETLDocker
Automation2023

Automated Compliance Reporting

Financial Services Provider · Finance

A financial services provider needed a more dependable way to prepare recurring regulatory reports. We replaced a spreadsheet-heavy process with a scheduled data pipeline that validates inputs, produces auditable outputs, and flags exceptions for review.

Challenge

A three-person team spent two weeks each quarter assembling and checking reports by hand.

Delivered

Automated reporting workflow using scheduled orchestration, validation rules, PostgreSQL, and cloud-based execution with an audit trail.

Outcome

Client-reported six weeks of manual work eliminated annually

Client-reported outcome from the delivery closeout; organization name and supporting materials remain confidential under agreement. Not independently audited.

PythonAirflowPostgreSQLAWS Lambda
AI Development2024

AI-Powered Candidate Screening

HR Technology Company · HR Tech

An HR technology company wanted to help recruiters move from unstructured CV review to a consistent, reviewable shortlisting workflow. We built a multi-stage AI pipeline that extracts relevant experience, applies role-specific criteria, creates structured interview briefs, and returns results to the existing ATS.

Challenge

Recruiters needed a faster way to review high application volumes while retaining human oversight and consistent role criteria.

Delivered

AI-assisted screening pipeline with configurable criteria, structured outputs, ATS integration, reviewer controls, and feedback capture.

Outcome

Client-reported 4x faster shortlisting; fairness claims are not presented without an independent audit

Speed outcome reported by the client; organization name withheld under confidentiality agreement.

OpenAIPythonFastAPIReactPostgreSQL
Custom Software2023

Field Service Management Platform

Infrastructure Services Company · Operations

An infrastructure services company needed a single operating system for scheduling, dispatching, and tracking field engineers across twelve regions. We replaced disconnected spreadsheets and informal messaging with a role-based platform for coordinators, engineers, and managers.

Challenge

Dispatch decisions and service updates were spread across spreadsheets and messaging threads, making SLA management difficult.

Delivered

Full-stack field service platform with scheduling, dispatch, status tracking, map-based context, role-based access, and operational reporting.

Outcome

Twelve regions managed in one platform; client-reported 40% fewer missed SLAs

Client-reported outcome from the delivery closeout; organization name and supporting materials remain confidential under agreement. Not independently audited.

ReactNode.jsPostgreSQLGoogle Maps APIAWS
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