Frequently Asked Questions

We don't just recommend — we deploy. Every engagement is built around getting your data infrastructure, dashboards, or AI models into production. We're security-clearance ready, and we price against deployment milestones, not billable hours.

Yes. We are a GSA Schedule contractor with experience on federal projects requiring security clearances. We maintain full compliance with HIPAA, FISMA, and other regulatory frameworks as required.

We supply domain-expert annotation teams for RLHF, preference comparisons, and model training. Our annotators are recruited for domain expertise (STEM, legal, coding), trained on your specific guidelines, and QA'd by data professionals — delivering a 98% inter-annotator agreement rate.

Most engagements move from scoping to production deployment in weeks, not months. Our federal healthcare client saw a 40% latency reduction in their new cloud-native pipeline, deployed across 12 regional offices.

Government and federal agencies, healthcare and life sciences, financial services, and manufacturing. We also serve AI platform companies through our AI training labor services.

We hold an active GSA Schedule and maintain NAICS compliance for federal contracting. We have active federal contract experience and can provide contract vehicle details on request.

We scope engagements around deployment milestones rather than open-ended hourly billing. After an initial consultation, you get a fixed-scope proposal tied to specific deliverables — a working pipeline, a live dashboard, a deployed model — so you know what you're paying for before work starts.

No. While a large share of our work is federal and regulated-industry engagements, we also work with commercial companies of varying sizes — including AI platform companies that need annotation and training labor at scale. If your data problem is real, we'll tell you honestly whether we're the right fit regardless of company size.

Most projects follow the same arc: a scoping call to understand your data and constraints, a fixed-scope proposal, a discovery phase to map data sources and requirements, iterative build with regular check-ins, and a production deployment with documentation and handoff. The specific steps vary by service — our services pages break down the process for each.

Yes. We don't push a single vendor stack on every client. We've delivered on AWS, Azure, and GCP, and worked with tools ranging from Power BI and Tableau to custom-built applications. Where you already have infrastructure investments, we build around them rather than recommending a rip-and-replace by default.

Deployment isn't the end of the relationship for most clients. We offer ongoing support, monitoring, and enhancement arrangements after go-live, and many engagements evolve into longer-term partnerships as new use cases come up. That said, we also do fixed-scope, single-project work if that's what you need.