Two-to-four-week sprints test hypotheses quickly using lightweight datasets, simulated environments, or sandbox tools. We compare approaches, quantify trade-offs, and define gating metrics. Outcomes include prototypes, risks, and recommendations that inform product bets and funding decisions, reducing uncertainty while accelerating learning across engineering, design, legal, and security stakeholders.

We design task-specific rubrics, golden sets, and automated harnesses that score quality, safety, latency, and costs. Side-by-side benchmarks surface strengths and weaknesses. Reports guide model selection, prompts, routing, and guardrails. Dashboards enable repeatable checks after dataset changes, product updates, or vendor shifts, maintaining consistent performance over time.

We generate synthetic cases, adversarial prompts, rare events, and balanced distributions to expand limited datasets safely. Governance labels synthetic artifacts. Augmentation improves robustness, detects edge behaviors, and enables privacy-preserving experimentation. Playbooks define when and how to use synthetic data responsibly without contaminating production metrics or compliance boundaries.

We prototype agentic systems that decompose goals, call tools, reason over results, and coordinate steps. Safety layers prevent loops, enforce approvals, and contain actions. Tracing and memory improve success rates. Candidates include research, procurement, data cleanup, and QA. Evaluations quantify task completion, costs, and escalation quality for stakeholders.

Experiments combine text, image, audio, and sensor inputs; evaluate compression, quantization, and runtime options; and test mobile or edge accelerators. We balance accuracy, latency, and battery constraints. Findings guide deployment architecture for kiosks, field, or embedded experiences with predictable performance and costs across diverse hardware environments.

We package demos, docs, risks, and operational checklists for teams. Hardened prototypes graduate through gated milestones. Knowledge transfer, training, and source handover ensure continuity. Governance artifacts—model cards, evals, and change logs—prepare features for scale-up under existing security, privacy, and compliance obligations across your organization.