IndiVillage
Platform Companies
Better Data.
Better AI.
Staff retention compounds quality. Quality data compounds AI performance.
96% annual staff retention over 16 years means the same annotators improve your dataset year on year. That consistency is where superior data quality comes from — and where your AI models gain an unfair advantage.
IndiVillage platform specialist at workstation, Bengaluru
PLATFORMS · ENGINEERING
02 · Engagement model
Three ways to operate inside your platform.
Partners choose how visible we are. Some keep us invisible. Some name us. Some flex per account.
01
White-label
Invisible delivery layer. Your brand, your client, your margin. We own the quality.
Branding
Your brand only
Customer visibility
None — fully embedded
Contracting
You + IndiVillage · NDA-first
SLA
Mirror your platform SLA
02
Named partnership
Co-branded delivery. IndiVillage named as the specialist layer in proposals and case studies.
Branding
Co-branded on request
Customer visibility
Named in proposal + delivery docs
Contracting
Tripartite or bilateral
SLA
Joint SLA co-authored
03
Hybrid
White-label by default. Named for enterprise accounts that ask for it.
Branding
Account-by-account
Customer visibility
Configurable per account tier
Contracting
Flexible — bilateral or tripartite
SLA
Negotiated per account
04 · We work inside your tooling
No migration.
We onboard to your stack.
Diagram: Data flows in to your platform; inside, IndiVillage's four service layers (Consult, Enrich, Build, Run) operate behind the scenes; actionable results flow back out. Your customers see your brand only.
Platform-agnostic by design.
These are the platforms most clients ask us to work in:
Dataloop
CVAT
Labelbox
Scale AI
Encord
Custom APIs
When clients ask for something else, we adapt — our training methodology onboards specialist annotators to new tools in days, not weeks. Output in your format. Inside your environment. Discreet by default.
Industries · Platform Companies
Quality data compounds AI performance.
96% annual staff retention means the same annotators improve your dataset year on year. That consistency is where superior data quality comes from. And where your models gain an unfair advantage.
IndiVillage platform-team specialists at workstation
WHITE-LABEL · PLATFORMS
02 · What we deliver
Embedded AI — four layers, inside your stack.
We onboard to your tooling. No migration, no rebrand. Output in your format, inside your environment, discreet by default.
02 · Data Enrichment
High-quality data, annotation at scale. Inside your stack.
Multi-pass review across every modality. Tool-agnostic delivery in Dataloop, CVAT, Labelbox, Scale and Encord. Surge capacity for overflow demand. Your brand on the output.
500M+ datapoints · 99%+ accuracy · multi-platform delivery
White-label engagement
Invisible to your customers. Your brand on every deliverable. Contracting is bilateral with NDA-first onboarding.
Named partnership
Co-branded delivery for enterprise accounts that ask. Named in proposals and case studies. Joint SLAs co-authored.
Hybrid
White-label by default. Named for the accounts that need it. Configurable per account tier.
Surge capacity
Documented overflow capability across every modality. Standing reserve capacity maintained for partner accounts.
03 · Modality depth
Platforms-grade vehicle-damage annotation — specialist with stylus tracing seven damage categories at 98.2% quality on twin-monitor workstation
TOOLING-AGNOSTIC · PLATFORMS
White-label engagement
Invisible to your customers. Your brand on every deliverable. Contracting is bilateral with NDA-first onboarding.
Named partnership
Co-branded delivery for enterprise accounts that ask. Named in proposals and case studies. Joint SLAs co-authored.
Hybrid
White-label by default. Named for the accounts that need it. Configurable per account tier.
Surge capacity
Documented overflow capability across every modality. Standing reserve capacity maintained for partner accounts.
04 · Customer proof
Programmes that ran this playbook.
IndiVillage operations-floor wide shot, showing the annotation pod processing ITA Group's multilingual claim-validation workflow.
Loyalty / Marketing
ITA Group
Multilingual content-moderation and rebate-claim processing inside ITA's stack.
100K+ invoices · 12 days → 3 days · 98% accuracy
Read case →
Wide interior of a large fulfilment warehouse with a single worker mid-frame, showing the scale at which the 53M-SKU onboarding programme operates.
eCommerce · Platforms
Large US delivery platform
53M+ SKUs onboarded under AI-driven QA — 125K validated daily.
53M+ SKUs · 125K daily · 3 years
Full case study coming soon
View all case studies →
05 · Frequently asked · FAQPage schema · 5 pairs
Frequently asked.
How does white-label engagement actually work?
Your brand on every deliverable. We're tool-agnostic by design — we operate inside whatever your team already uses (Dataloop, CVAT, Labelbox, Scale, Encord are common examples, not a definitive list) and output to your format. Your customers never see us. Bilateral contract, NDA-first onboarding, named delivery lead inside your account. Surge capacity is documented in the partnership agreement, with standing reserve held against your forecast volume. Three engagement modes available — fully invisible, named-on-request, or hybrid per account — and you control which mode applies to each enterprise customer.
Can you absorb burst or overflow demand?
Yes. Surge capacity is a documented programme feature for partner accounts, not best-efforts. Standing reserve maintained across modalities — egocentric, LiDAR, 3D, segmentation, document AI, audio — with named ramp times depending on the modality and accuracy threshold. Typical burst absorption: 2-3x baseline volume inside 5 working days for established modalities. We commit ramp times in the partnership contract, with SLA-backed delivery against your forecast. The 11 community-based offices and 1,000+ workforce mean we can re-deploy specialist teams across modalities without hiring on demand.
What does named-partnership tier add?
Co-branded delivery for enterprise accounts that specifically request it. Named in proposals, case studies, and joint marketing. Joint SLA co-authored with your team, tripartite or bilateral contracting depending on account preference. The tier is configurable per account — some of your enterprise customers will want us invisible, some will want us named as the specialist behind a complex modality, and some will want hybrid (named on the technical pages, invisible in the procurement contract). You decide per account; we operate to that mode without renegotiation.
How is partnership engagement structured?
Engagement structures rather than per-unit rates. Three common structures — volume tiers with commitment modifiers, retainer plus variable volume, or fully embedded capacity. Indicative commercial terms are visible to verified partners after a brief mutual-NDA conversation. We don't compete on per-unit price; we compete on programme economics over years — rework cost, model performance, team continuity, and the cost of bursting through your in-house ceiling. Most engagements start with a 30-minute scoping conversation; the right structure follows the workload pattern rather than a default template.
Can we keep IndiVillage invisible to our enterprise customers?
We'll work in whichever way protects your relationships and makes the engagement easy for you. Three patterns are common and you can mix them per account: (1) Invisible delivery — your brand on every deliverable, we own the work behind the scenes; the standard for most overflow and surge programmes. (2) Named partnership — some of your enterprise customers value our reputation in data quality, so we appear alongside you in proposals, case studies, and joint marketing. (3) Referral overflow — companies offering similar services sometimes find a particular client's demands exceed their bandwidth or modality expertise; they route those clients to us under a commission arrangement, keeping the underlying relationship intact while the work gets delivered properly. The mode is set per account and changeable without re-papering.
07 · Work with us
Book an overflow-capacity conversation.
30 minutes. Your platform, your modalities, the partnership model that fits. Programme recommendation in 48 hours.