Four disciplines. One standard.

01

Product Engineering & Design

Production software engineered across every layer of the stack - frontend, backend, infrastructure, and design - by the same senior team from architecture through deployment.

Mobile App Development

Native and cross-platform mobile applications engineered for performance, scalability, and long-term maintainability.

Web App Development

Full-stack web applications optimized for speed, accessibility, and production-grade reliability.

UI/UX Design

Research-driven design that translates business objectives into clear, intuitive interfaces.

Backend & Infrastructure

High-performance APIs, service architectures, and cloud infrastructure engineered for reliability and growth.

02

Machine Learning & AI Systems

ML systems designed around measurable operating outcomes, review paths, monitoring, and retraining requirements defined before model development begins.

Predictive Analytics

ML pipelines that convert historical data into reliable forecasts your team can trust and act on.

Computer Vision Systems

Image and video analysis pipelines for detection, classification, and segmentation at production scale.

Recommendation Systems

Personalization engines built on collaborative filtering, content-based models, and hybrid approaches.

AI Agents & Automation

Custom agent systems and automation workflows powered by large language models for complex, multi-step tasks.

03

Data Engineering & Analytics

Half Labs builds data platforms, analytics systems, and infrastructure end-to-end - architecture, pipelines, analytics, and dashboards - with one senior team responsible for the system.

Data Analytics & Business Intelligence

Analytics infrastructure and dashboards that give your organization a single source of truth for every decision.

Data Infrastructure & Integrations

Resilient data systems engineered for throughput - ingestion, streaming, orchestration, and cross-system synchronization.

04

Strategy & Advisory

Technical certainty comes from testing assumptions before capital is committed. Senior engineers assess feasibility, architecture, delivery risk, and evidence needed for roadmap decisions. Embedded advisory and fractional CTO support are available when technical leadership must continue through delivery.

AI Readiness Assessment

A structured evaluation of your data, infrastructure, and team to determine where AI will deliver measurable returns.

Feasibility Studies

Technical assessments that validate your product hypothesis before you commit capital.

Technical Due Diligence

Independent technical assessments that give investors, acquirers, and founders an honest verdict on a codebase before capital changes hands.

Discuss your project with a founder.

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Common questions