Expertluma Ltd · B2B SaaS

Build High-Quality AI Data, Faster

Expertluma is a scalable platform for AI data training, annotation, and quality assurance — powered by expert human workflows. Subscription access plus usage-based pricing for data processing and task execution.

Compliance-minded by design: quality controls, audit-friendly operations, and infrastructure built for enterprise scale — not speculative or financial products.

Platform snapshotLive ops
  • Quality gatesHuman + AI QA
  • Delivery modelCloud B2B SaaS
  • PricingSubscription + usage

Typical workflow

Define tasks → assign experts → review with QA → export validated datasets to your ML stack.

Launch

Early access · 1 June 2026

We are building two queues ahead of go-live: organisations that will run on Expertluma as tenants, and expert workers for the marketplace. Pick the path that fits you.

Who we serve

Built for teams that depend on dataset quality

We work with organisations building production machine learning — from applied research to enterprise programmes — where labelling throughput, QA rigour, and auditability matter.

UK-registered supplier

Expertluma Ltd is incorporated in the United Kingdom and contracts on standard B2B commercial terms.

Security-minded operations

We describe our posture plainly and support procurement, vendor risk, and information security reviews.

Clear commercial model

Subscription platform access plus usage-based fees for processing and task execution — aligned to how data work scales.

What we do

End-to-End Data Workflow Platform

A single cloud environment to define tasks, assign work, monitor throughput, and enforce quality — from raw inputs to validated datasets ready for model development.

Data annotation and labeling
Structured labeling workflows for vision, text, and other modalities — with clear specifications and reviewer paths.
AI training data pipelines
Ingest, version, and route data through staged pipelines so teams ship consistent training sets on schedule.
Quality assurance and validation
Sampling, consensus checks, and AI-assisted QA to catch errors before they reach production datasets.
Workforce management for data tasks
Assign work to vetted professionals, track performance, and scale capacity without losing operational control.
How it works

From task definition to validated output

1Step 1

Upload or define your data tasks

Specify formats, instructions, acceptance criteria, and priority — all in one place.

2Step 2

Assign workflows via the platform

Route work to the right teams and queues. Enforce roles, SLAs, and access boundaries.

3Step 3

Experts complete tasks

Trained professionals execute labeling and related work with full traceability.

4Step 4

AI-assisted QA ensures quality

Automated checks and human review layers reduce defect rates and support compliance expectations.

Features

Built for scale, quality, and integration

Scalable task distribution
Handle growing volumes with queueing, prioritisation, and throughput monitoring.
Human-in-the-loop AI workflows
Combine model assistance with mandatory human judgment where accuracy matters.
Real-time monitoring dashboard
Track progress, backlog, quality metrics, and exceptions without exporting spreadsheets.
Quality control systems
Gold tasks, inter-annotator agreement, escalation rules, and audit trails.
API-ready infrastructure
Integrate with your MLOps stack: ingest jobs, pull results, and automate handoffs.
Use cases

Where teams use Expertluma

Machine learning training datasets
Produce clean, versioned datasets for supervised learning with documented provenance.
Computer vision annotation
Bounding boxes, segmentation, classification — with QC tuned to your accuracy bar.
NLP dataset structuring
Entity tagging, classification, conversation labeling, and schema-aligned exports.
Enterprise data processing
High-volume, policy-bound processing for internal AI initiatives and vendor governance.
Pricing

Simple plans that scale with you

Subscription for platform access; usage-based components for processing and task execution. Enterprise agreements are customised to volume, security, and support requirements.

Starter

Small teams piloting structured data workflows

  • Core annotation and QA features
  • Standard support
  • Usage-based task pricing
Recommended
Growth

Scaling companies with sustained pipeline volume

  • Higher throughput and priority routing
  • Advanced QC and reporting
  • Discounted usage tiers at scale
Enterprise

Custom security, compliance, and procurement needs

  • Custom SLAs and onboarding
  • Dedicated success and solutions support
  • Bespoke contracts and billing

Expertluma Ltd offers B2B SaaS only. We do not provide regulated financial services. Pricing is quoted based on scope.

Start building better AI data today

Speak with our team about datasets, quality targets, and how Expertluma fits your ML roadmap.