We've built our intake process for companies that move fast. No six-month procurement cycles. No RFP theater. A focused process that gets your physical-world operations running quickly and correctly.
Phase 1
We start with a 30-60 minute conversation about your product, your data, and your physical-world needs. This isn't a sales call — it's a scoping session.
What we learn from you:
What you learn from us: Whether we're the right fit, a rough sense of how we'd approach the work, and what questions we'd need answered to scope it precisely.
Some clients arrive knowing exactly what they need collected or done. Others need help figuring out what physical-world operations their AI product requires. We serve both. If you're not sure what you need, that's a fine starting point.
Phase 2
We translate your needs into a precise operational specification. This document becomes the foundation of our engagement — it defines what gets done, how, where, how often, to what standard, and in what format.
The scope document covers:
You review and approve this document. Changes are incorporated until we're aligned. No ambiguity, no surprises.
Phase 3
Before scaling to full operations, we run a limited pilot. This proves the methodology, validates data quality, and confirms that deliverables integrate correctly with your systems.
The pilot typically includes:
Most pilots complete in 1-2 weeks. By the end, you've seen exactly what the ongoing engagement will produce, and you've verified it works with your systems end-to-end.
Phase 4
With the pilot validated, we scale to full operations. Your field work runs on the defined cadence, to the defined standard, with the defined deliverables — reliably, consistently, without you thinking about it.
What ongoing operations include:
Phase 5
We don't hand you a PDF and walk away. Data is delivered in the format your systems consume, through the channels your pipeline expects.
Delivery options include:
Every deliverable includes metadata, quality flags, and provenance information. Your ML pipeline gets clean, structured, trustworthy input — every time.
Discovery through pilot completion typically takes 2-4 weeks. Simple, well-defined engagements can move faster. Complex, multi-site operations with regulatory requirements take longer. We'll give you a realistic timeline during discovery.
That's common and fine. Many clients know they need physical-world operations but haven't specified the details. Part of our value is helping you translate product requirements into operational specs. We'll work through it together during scoping.
We operate across the continental United States and are expanding. For concentrated operations in a specific metro area, we can staff up quickly. For distributed, multi-site operations, we'll discuss coverage during scoping and propose a realistic plan.
A contractor gives you a person. We give you a system. Defined quality standards, backup personnel, equipment maintenance, data delivery infrastructure, SLAs, and a single point of accountability. When your contractor gets sick, your data collection stops. When our field technician is unavailable, another qualified technician covers the work.
Engagements are priced based on scope, geography, cadence, and complexity. We provide detailed pricing after the scoping phase. There are no hidden fees, and our pricing structure is transparent. Most AI companies find our rates comparable to — or lower than — the blended cost of cobbling together freelancers, traditional service providers, and internal coordination.
Yes, and we recommend it. The pilot phase is designed exactly for this. Start with one site, one data type, one collection cycle. Validate that it works. Then scale.