What we can take on
Dedicated teams
A named team on a monthly basis, ramping up and down with your roadmap.
Language pods
Small native-speaker pods per language, with a lead who owns the quality bar.
Expert pools
Clinicians, lawyers, engineers and linguists verified by credential.
On-platform work
Your annotation tool, your access controls, your audit log.
Managed payments
Payouts, tax documentation and compliance handled in every country we operate.
Fraud controls
Device fingerprinting, location checks and duplicate-identity detection.
The types of crowd-as-a-service we run
The full breakdown, not the headline categories. Anything not on this list is a scoping call away.
Team models. Dedicated monthly team, Per-task pool, Per-hour pool, Hybrid ramp-up team.
Language coverage. Native-speaker language pods, Regional dialect specialists, Bilingual review pairs, Rare-language sourcing.
Expert pools. Clinicians, Lawyers and paralegals, Software engineers, Linguists and translators.
Platform fit. Work inside your annotation tool, Work inside our platform, Open-source tool deployment, API-driven task routing.
The forms the data takes
What you actually receive: file types, structure and the metadata that travels with it.
- Dedicated team
- A named pod for one client on a monthly arrangement.
- Per-task capacity
- Pay for accepted units, scaled up and down by batch.
- Per-hour capacity
- Time-based teams for open-ended or exploratory work.
- Specialist pools
- Clinicians, lawyers, engineers and linguists on request.
- Private workforce
- NDA-only teams for sensitive data.
- Reporting
- Throughput, acceptance rate and agreement by team and individual.
How the data is collected
From the first brief to the batch you receive, step by step.
- 01
Sourced from the community and vendors
Teams are built from vetted individual contributors and from vendor partners, matched to the language, domain and volume of your project.
- 02
Verified before paid work
Identity, language ability and any required credential are checked once, then the contributor takes a task-specific qualification test.
- 03
Managed day to day
A project lead owns allocation, throughput and quality against the bar you set, and you see the same dashboards we do.
- 04
Works where you need
Teams work inside your annotation tool and security controls, or inside our platform, under your logging and retention rules.
- 05
Paid properly
Transparent per-task rates, a published payout schedule and an appeal route on every rejection, which keeps good people on your project.
How a project runs
- 01
Scoping call
We agree volume, languages, demographic quotas, formats and what counts as a rejected item.
- 02
Guidelines and gold set
Written guidelines with worked examples, plus a gold set every contributor is tested against.
- 03
Pilot batch
A small paid batch you accept before anything scales. Most guideline problems surface here.
- 04
Production
Work flows through capture checks, automated QC, peer review and expert review.
- 05
Delivery
Incremental batches in your format with a data card, QA report and agreement scores.
- 06
Iteration
Rejections feed back into the guidelines so the same mistake is not made twice.
How quality is checked
Checks that run during the work, not a sample at the end.
- Task-specific qualification before live work
- Monthly re-certification for each team
- Hidden gold tasks to measure output continuously
- Bench capacity so one resignation does not stall a batch
- Escalation route to a project lead on every team
Industries that use it
Where teams bring us crowd-as-a-service, and what they use it for.
- Technology and softwareStanding annotation and evaluation capacity.
- Banking and financeDocument and call review teams under NDA.
- HealthcareCredentialed reviewers for clinical data.
- AutomotivePerception labelling teams.
- Retail and e-commerceCatalogue and product-data teams.
- TelecomMultilingual support-data teams.
Why teams pick us for crowd-as-a-service
Qualified, not just available
Every contributor passes a task-specific test before touching live work.
Managed attrition
Bench capacity per language so one resignation does not stall a batch.
Paid properly
Transparent rates, published payout schedule and an appeal on every rejection.
Your controls
Work happens in your environment, under your logging and retention rules.
