Inkky
Frontier AI runs on
data production that keeps up with it.
The data production platform behind Welo Data’s frontier AI programs. Proprietary infrastructure, purpose-built and designed around the people who run them.
100%
Welo Data owns the full stack. No outside platform in your data pipeline.
Zero
Competing interests in the pipeline. Your data stays yours.
Every
Quality infrastructure configured per program. Built in, not bolted on.
BUILT FOR THE WORK THAT MATTERS NOW
The most demanding AI programs
require a different class of infrastructure.
Evaluating factual claims, grading model responses against complex rubrics, assessing multimodal outputs. The data work behind frontier AI requires precision, accountability, and infrastructure built to hold both at scale.
Verified expertise on every program
Welo Works is Welo Data’s managed expert network. Every person on a program is matched by skill level, track record, and task type. All verified before they reach production.
Quality enforced at the system level
Linters, benchmark gates, and multi-stage review layers are configured as part of every program setup. Standards are enforced by the platform, not by individual discipline under time pressure.
Infrastructure Welo Data owns outright
No third-party platform. No competing interests. No outside visibility into client training data. The platform roadmap answers to one set of requirements: the programs we run.
HOW IT WORKS
One system.
Every stage of production.
Inkky runs the full data production lifecycle in a single configurable system. Ops teams own every stage directly. Nothing routes through an engineering queue.
01
OPS-FOCUSED SETUP
Programs configured by the teams who run them
Pipeline stages, task interfaces, and contributor assignment logic are set up through a purpose-built GUI by the team that runs your programs. No additional code needed. No engineering queue.
GUI Pipeline Builder
Task UI Config
Ops-Owned
02
CONTRIBUTOR VERIFICATION
Verified before production, every time
Before any contributor touches live tasks, they complete a benchmark set with known correct answers. Those who do not pass the threshold are removed before they reach the queue. The gate protects the entire batch.
Benchmark Gates
Linter Enforcement
LLM Detection
03
DATA PRODUCTION
The right person, the right task
Contributors work in a dedicated portal with a dynamic interface built for text, image, audio, and video. Welo Works matching ensures expertise on each program is verified, not assumed.
Text · Image · Audio · Video
Welo Works Matching
04
QUALITY REVIEW
Review layers built to the needs of the program
Where program requirements call for it, our best practice is to route completed tasks to an experienced reviewer queue. Reviewers can advance a task or send it back with specific comments the original contributor receives, closing the feedback loop at the individual level.
Configurable Layers
Individual Feedback
Program-Specific
05
OPS VISIBILITY
Full visibility across every active program
Batch status, task queue depth, contributor performance, and export readiness visible in one place. Blockers are visible while there is still time to act on them, not after a delivery slips.
Live Dashboard
SLA Tracking
Contributor Performance
06
EXPORT AND DELIVERY
Validated data, ready for what comes next
Ops exports validated datasets in CSV or JSON. Clients access a dedicated portal to view workspaces, upload raw files, and download completed data directly without chasing account managers.
CSV / JSON Export
Client Portal
Audit-Ready Output
PLATFORM CAPABILITIES
Built for programs that
general-purpose tools were not.
Every capability in Inkky exists because the programs Welo Data runs required it.
- Production pipelines built per program
- Multi-stage workflows configured directly by the teams who run them. Each pipeline is built to the specific requirements of the program, not adapted from a generic template.
- Quality verification before production access
- Expert contributors are verified against program-specific standards before they access live work. Verification is built into every program by default.
- Multi-modal in a single system
- Text, image, audio, and video workflows run together. Schema-driven task interfaces support the complex instruction sets that frontier AI programs require.
- Human data integrity controls
- Protects the integrity of programs where genuine human judgment is the point. Ensures the data produced reflects real human reasoning, not automated proxies for it.
- Continuous calibration across programs
- Expert performance is tracked and calibrated throughout each program. As requirements evolve, the workforce adapts with them without disrupting delivery.
- Welo Works expert network
- 500,000+ vetted experts across languages, domains, and specializations. Matched to programs by skill level, track record, and task type. The platform and the people run as one system.
- Client portal and direct data access
- Clients manage API credentials, view workspaces, upload raw files, and download completed datasets directly, without routing everything through an account manager.
- Enterprise-grade integrations
- Welo Works, Okta SSO, Microsoft Entra, AWS, and Datadog: purpose-built to extend Welo Data’s existing operating model, not introduce new platform dependencies on top of it.
GET STARTED
Building at the frontier
takes a data partner built for it.
Tell us what you are building and we will show you how Inkky runs it.
HOW WE WORK
Starting with the user,
not the software.
Most vendors in this space built a platform and attached a workforce. Welo Data built the expert network first and built the platform around it. That distinction runs through everything.
01
The platform serves the people, not the other way around.
Expert contributors should be able to focus entirely on the quality of the work. The infrastructure exists to make that possible, not to add friction that competes for their attention.
02
Quality that is enforced is more reliable than quality that is intended.
Standards built into the platform hold regardless of program volume, timeline pressure, or who is running the project that week. Discipline is not a substitute for structure.
03
Accountability requires knowing who did the work.
Welo Works is a managed expert network. Every person on a program is known, verified, and matched by skill level and track record. When something needs tracing, it can be traced.
04
The infrastructure behind your data should not have competing interests in it.
Welo Data owns Inkky outright. Your training data moves through infrastructure that has one purpose: running the program well. No outside platform. No conflicting roadmap.
“The hardest part to run operationally is aligning contributors to the guidelines. What Inkky gives us is a feedback loop at the individual level — not just catching errors in the current batch, but closing the loop so the same errors are less likely in the next one.”
MK Blake, Welo Data
COMMON QUESTIONS
Straight answers to
real buyer questions.
Inkky is not a product being licensed to multiple customers. It is infrastructure built around how Welo Data’s teams and expert network actually operate, designed by the people who run the programs. Most vendors in this space built a platform and then attached a workforce. We built the workforce first and built the platform around it.
Linters, benchmark gates, and review layers are configured as part of every program setup. Before a contributor reaches the live production queue, they complete a benchmark set that looks identical to real work but has known correct answers. Those who do not pass the threshold are removed from the program and never reach production.
When your annotation vendor routes your proprietary training data through a platform they do not own, you are trusting the data governance of a company whose commercial interests may not align with yours. If that platform provider also competes in AI data services, your training data is moving through infrastructure operated by a company with a direct stake in the same market you are building in. Welo Data owns Inkky outright. No third-party platform dependencies. No outside visibility into client data.
Ops teams modify pipeline stages and task interfaces directly, without engineering tickets. When guidelines change, the feedback loop to contributors updates accordingly. The platform surfaces outliers and disagreement rates during the program, not after delivery, so if the data is showing something the guidelines did not anticipate, there is still time to act on it.
Text, image, audio, and video annotation within a single unified system. Schema-driven task interfaces support complex, multi-modal instruction sets and can be configured for new data types as program requirements change. This includes LLM evaluation, voice model assessment, multimodal grading, and agentic workflow tasks.
Welo Works is Welo Data’s managed expert network: 500,000+ vetted specialists across languages, domains, and data types. Inkky routes work to the right experts based on program requirements, skill level, and track record. The platform and the expert network are designed to operate as one system.
Inkky is the infrastructure behind all programs Welo Data runs, for existing clients and new engagements alike. There is no self-serve access. All programs are scoped and onboarded through our team. If you are evaluating Welo Data, this is what your programs will run on.
GET STARTED
Frontier AI needs a data partner
built for where it’s going.
Tell us what you are building. We will tell you how we support it.