Proven Impact Through Technology
Boutique, research-driven, and outcome-obsessed. We merge AI, platform engineering, and data to deliver measurable ROI—with enterprise clarity and speed.
AI-Led Business Acceleration
Identify, prototype, and operationalize the highest-ROI AI use cases—fast. We design small, provable experiments that compound into enterprise outcomes while meeting security and compliance standards.
Typical efficiency gains range 25–60% depending on baseline maturity and scope.
Developer Velocity & Platform Excellence
Reduce cycle time and debt with modern platform engineering: CI/CD, automated testing, golden paths, and paved-road tooling. Teams ship 3–5× faster with fewer regressions and clearer ownership.
Measured across before/after engagements and internal telemetry.
Decisions Driven by Live Metrics
Make the invisible visible. We implement executive-ready KPI frameworks and real-time dashboards that cut decision latency and align product, engineering, and the business on a single source of truth.
Leaders report ~70% faster time-to-decision on critical initiatives.
AI Innovation Lab
Ask-Jentic: AI Innovation Lab
Our sandbox for agentic AI. We prototype new orchestration patterns, measure latency/accuracy trade-offs, and productize what proves value in the real world—so clients adopt AI with confidence, not guesswork.
Explore Ask-Jentic →Our Approach
1. Strategic Assessment
In weeks—not months—we map your systems, workflows, and goals to surface the top 2–4 initiatives with clear ROI and risk profiles. You get a concise plan, not a binder.
Learn more →2. Rapid Prototyping
We stand up working prototypes that validate value with real users and data. Each experiment is instrumented to prove impact and inform a go/no-go decision.
Learn more →3. Scalable Implementation
Winning prototypes graduate to production with observability, documentation, and knowledge transfer. We leave teams better than we found them—equipped to run and extend.
Learn more →Led by Jen Anderson, PhD — known for bridging technical rigor and executive clarity across multi-brand platforms, modernization, and AI adoption at scale.