Gigantic Work is a premier systems engineering vendor. We partner with technology leaders to architect, build, and operate automated AI evaluation harnesses, resilient cloud-native infrastructure, and custom enterprise software platforms.
DIRECT INQUIRIESSend RFPs & Project Briefs to [email protected]→Production-grade systems engineering delivered as turnkey projects or dedicated architect pods.
Replace prompt tweaking with deterministic evaluation testbeds, synthetic benchmark suites, and CI/CD regression gates for frontier LLMs.
Decouple reasoning brains from execution hands. Stateless harnesses, zero-trust container sandboxes, and durable session logs for sustained multi-hour workflows.
Production-grade cloud platforms on AWS, GCP, and Azure. Immutable Terraform Infrastructure-as-Code, Kubernetes clusters, and automated GitOps pipelines.
Round-the-clock site reliability engineering, proactive OpenTelemetry telemetry, strict SLA remediation, and automated cloud cost optimization (FinOps).
Test our live simulation demonstrating how Gigantic Work's production harness enforces zero-trust guardrails, sandboxes tool invocations, and calculates LLM-as-a-judge scores.
A disciplined, milestone-driven framework designed to transition experimental technology into hardened enterprise production.
We evaluate your existing infrastructure, data access layers, model workflows, and security perimeters to identify vulnerabilities and latency bottlenecks.
Within 2 to 4 weeks, we deliver a functional proof-of-concept with ground-truth fixtures, baseline telemetry, and automated eval gates.
Full deployment of production infrastructure, Kubernetes clusters, sandboxed runtimes, and CI/CD pipelines inside your enterprise VPC.
Our SRE team assumes round-the-clock monitoring, automated chaos testing, model regression gating, and SLA-backed support.
Our tutorials and research articles demonstrate the exact architectures we design and build for our enterprise clients.
Why harness engineering is replacing prompt engineering as the core discipline of AI systems engineering. A deep dive into deterministic fixtures, LLM-as-a-judge calibration, and CI/CD eval gates.
Architectural blueprint for decoupling agent brains from hands. How to design stateless harnesses, virtualized sessions, and zero-trust sandboxes based on frontier research from Anthropic.
The enterprise AI landscape has matured past prompt tweaking. The highest-leverage engineering investments are now in automated eval harnesses, ground-truth fixtures, and multi-agent coordination topologies.
Whether you are preparing an RFP, need an independent architecture review, or want to deploy deterministic AI evaluation harnesses, our senior engineering team is ready to assist.