Enterprise Pods
Build better AI systems with talent that thinks differently.
Who it's for
Employers who need AI evaluation, QA, workflow automation, and human-oversight work delivered reliably — and are open to a managed-team model that measures output, not interview polish.
The problem it solves
AI systems need sustained, precise human oversight, and companies can't hire for it fast enough. Meanwhile a capable workforce is systematically screened out by hiring processes that test social performance instead of work quality.
What's included
- Managed pods of trained fellows delivering defined workstreams
- Quality assurance and evaluation baked into delivery
- A single point of contact — you manage outcomes, we manage the pod
- Billed on output and accuracy, not hours
What's not included
- Staffing-agency placement — pods are managed engagements, not temp hires
- Charity framing — this is a capability engagement, priced on value delivered
Time commitment
Pilot engagements scoped per workstream.
Pricing
Pilot pricing scoped per engagement.
Expected outcomes
Defined deliverables with measured accuracy. Published third-party evidence on neurodivergent teams' quality and retention is on our impact page — your pilot generates your own data.
Eligibility
Companies with defined, recurring AI-adjacent workstreams.
Accessibility
We handle the working-environment design; you get the output.
FAQ
Why a pod instead of direct hires?
Pods de-risk the first engagement for everyone: you buy defined output with QA included, and pod members work in an environment designed for how they work best. Direct-hire pathways can follow once the value is proven.