Mobile App Development
Native and cross-platform mobile applications engineered for performance, scalability, and long-term maintainability.
Production software engineered across every layer of the stack - frontend, backend, infrastructure, and design - by the same senior team from architecture through deployment.
Native and cross-platform mobile applications engineered for performance, scalability, and long-term maintainability.
Full-stack web applications optimized for speed, accessibility, and production-grade reliability.
Research-driven design that translates business objectives into clear, intuitive interfaces.
High-performance APIs, service architectures, and cloud infrastructure engineered for reliability and growth.
ML systems designed around measurable operating outcomes, review paths, monitoring, and retraining requirements defined before model development begins.
ML pipelines that convert historical data into reliable forecasts your team can trust and act on.
Image and video analysis pipelines for detection, classification, and segmentation at production scale.
Personalization engines built on collaborative filtering, content-based models, and hybrid approaches.
Custom agent systems and automation workflows powered by large language models for complex, multi-step tasks.
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.
Analytics infrastructure and dashboards that give your organization a single source of truth for every decision.
Resilient data systems engineered for throughput - ingestion, streaming, orchestration, and cross-system synchronization.
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.
A structured evaluation of your data, infrastructure, and team to determine where AI will deliver measurable returns.
Technical assessments that validate your product hypothesis before you commit capital.
Independent technical assessments that give investors, acquirers, and founders an honest verdict on a codebase before capital changes hands.