Fuzu Atlas
Structured Engagement Paths

From First Signal
to Full Program

Three structured ways to work with Fuzu Atlas — designed to match your scale, timeline, and risk tolerance. No forward-selling. No speculative promises. Operational readiness at every stage.

Start a Governed PoCReview Trust Architecture
The Three Paths

Choose the motion that fits your buying stage

Fuzu Atlas supports buyers at every stage — from a first focused pilot to a scaled enterprise program. Each path is designed to create value before asking for more commitment.

Path 01

Governed PoC

A focused, time-boxed proof of concept. Validate quality, workflow fit, and Fuzu Atlas's delivery architecture before committing to an ongoing program.

Best for: First-time buyers, new use cases, internal validation needs
Path 02 · Most Common

Managed Pod

A dedicated, managed team operating on an ongoing basis — with QA oversight, performance reporting, and continuous calibration built into the delivery model.

Best for: Ongoing annotation, evaluation, or QA workloads at team scale
Path 03

Managed Program

A multi-workstream program with governance architecture, dedicated program management, and the ability to flex across changing requirements and workforce profiles over time.

Best for: Hyperscalers, enterprise AI teams, multi-domain programs
What's Included

Each path in detail

01 — Pilot

Governed PoC

Weeks to activate

A structured, time-boxed pilot to validate Fuzu Atlas's quality, workflow integration, and delivery architecture for your specific use case. Designed to answer the question “can this work for us?” before any scale commitment is made.

What's included

Scoped task design and annotator/evaluator matching for your use case
Quality calibration session and inter-annotator agreement baseline
Delivery of a defined output set with QA overlay and error analysis
End-of-PoC review: quality metrics, delivery fit assessment, and path-forward options
No obligation to continue — exit criteria defined at the outset
2–6 weeks typical50–500 tasks / itemsSingle use caseFixed scope + price
02 — Scale

Managed Pod

Most Common

A dedicated team — typically 5 to 50 workers — managed end-to-end by Fuzu Atlas. The pod operates as a persistent delivery unit with structured QA, weekly performance reporting, and a named delivery lead. Calibration and quality management are built in, not optional add-ons.

What's included

Talent selection, validation, and onboarding to your specific task requirements
Dedicated QA layer with calibration protocols and IAA tracking
Named delivery lead and weekly performance reporting
Continuous calibration as guidelines or edge cases evolve
Escalation pathway and adjudication for complex or disputed items
Monthly performance reviews and SLA tracking
Ongoing engagement5–50 workersSingle or multi-workstreamMonthly SLAs
03 — Enterprise

Managed Program

Custom architecture

A full program structure for organisations with multiple workstreams, evolving requirements, or the need for specialist workforce flexibility over time. Includes dedicated program management, governance architecture, and the ability to draw from Fuzu Atlas's broader talent ecosystem as needs change.

What's included

Program-level governance design and delivery architecture
Dedicated program manager and quality lead
Multi-workstream pod orchestration across different task types or languages
Talent profile flexibility: rotate or expand workforce across changing requirements
Audit-trail output, compliance reporting, and stakeholder documentation
Quarterly business reviews and strategic account management
Ongoing, flexible50–500+ workersMulti-workstreamProgram governance
How It Works

Getting started takes days, not months

Fuzu Atlas's activation process is designed to move quickly without skipping governance steps. Here's what the first 30 days typically look like for a Governed PoC or Managed Pod.

01
Day 0 – 3

Discovery Call

Align on use case, scope, quality requirements, and expected throughput. Fuzu Atlas assesses whether the right talent supply is available.

  • Use-case brief
  • Talent feasibility check
  • Initial success criteria
02
Day 3 – 10

Scoping & Proposal

Fuzu Atlas produces a scoped engagement proposal: workforce profile, QA design, output format, pricing, and a clear set of exit criteria or SLAs.

  • Workforce & QA design
  • Pricing & SLAs
  • Signed engagement plan
03
Day 10 – 20

Calibration & Onboarding

Selected workforce undergoes task-specific calibration. Guidelines are agreed. IAA baseline is established before production begins.

  • Guideline finalisation
  • Calibration pilot batch
  • Baseline IAA report
04
Day 20 – 30+

Production Delivery

Delivery begins with QA overlay active from day one. First-week quality review confirms that output meets agreed standards before full throughput.

  • Live QA overlay
  • First-week quality review
  • Full throughput
Buyer Guide

Which path is right for you?

Buyer ProfileWhat You NeedRecommended PathTypical Timeline to Value
AI startup, first outsourced data programValidate quality before scaling, limited budget, fast iterationGoverned PoC2–4 weeks
Mid-market enterprise, ongoing annotation needReliable throughput, consistent quality, clear SLAs, manageable overheadManaged Pod2–4 weeks setup, ongoing
Foundation model team, multiple data tracksMultiple language/task types, policy-sensitive evaluation, governance depthManaged Pod → Program4–6 weeks to first pod
Hyperscaler / frontier AI programScale across many workstreams, specialist workforce, audit-trail outputManaged ProgramCustom architecture discussion
Regulated industry buyerAudit trails, compliance documentation, policy-traceable outputs, data protectionManaged Pod + Trust Pack3–5 weeks including trust review
FAQ

Common questions

Get Started

Start with a Governed PoC

The fastest way to validate Fuzu Atlas's quality, workflow fit, and delivery architecture for your specific use case — with no obligation to scale.

Start a Governed PoCReview Trust Architecture
Governed PoC to Managed AI Data Program — Activation Model | Fuzu Atlas