KELYVO
Human Intelligence Infrastructure

Human-Powered Data.
Ground Truth for AI.

KELYVO helps AI companies collect, annotate, evaluate and validate high-quality human data across language, speech, audio, vision and specialist domains.

Initiate Project Scoping Explore Capabilities
Human Data Human Evaluation Human Expertise

Multilingual

Language-aware workflows

Human-Verified

Structured review & QA

Specialist

Domain-expert workflows

Pilot-Ready

Built for focused AI projects

Core Capabilities

The human layer behind better AI.

From raw data collection to specialist evaluation, KELYVO designs structured human workflows around the requirements of AI systems.

01 / DATA

AI Data Collection

Structured collection of real-world human data according to language, modality, environment, quality and project requirements.

Collection workflows can include contributor sourcing, project instructions, qualification, production, organization and quality review.

Speech Recording Voice Data Image Collection Video Collection Text Corpora Multilingual Data
02 / EVALUATION

LLM & Model Evaluation

Human evaluation workflows for language and voice models, including response comparison, preference ranking, factuality, relevance and instruction following.

Evaluation tasks can be structured around client-defined rubrics, calibration examples and review criteria. Where appropriate, human preference data can support RLHF-style workflows.

Preference Ranking Response Evaluation Factuality Relevance Instruction Following Human Feedback
03 / ANNOTATION

Multimodal Annotation

Structured labeling across audio, speech, text, image and video data according to project-specific schemas.

Workflows can include contributor training, qualification, annotation, review, correction and final quality checks.

Audio & Speech

Transcription Diarization Timestamping Dialect

Text & NLP

Classification Intent NER Sentiment

Image

Object Detection Classification Segmentation OCR

Video

Object Tracking Events Temporal Labels Scene Data
04 / SPECIALIST

Specialist Human Intelligence

Specialist contributors bring domain knowledge where generic annotation is not enough.

Our initial specialist focus is music and audio, with future expansion into additional expert domains as the network develops.

Domain Experts Expert Review Specialist Evaluation Human Feedback
SPECIALIST VERTICAL

Music & Audio Intelligence

Specialist music and audio workflows supported by musicians and audio professionals within our developing expert network.

Music Evaluation Harmonic Tagging Acoustic Analysis Audio Quality
Capability Lab

See the workflow.
Not just the promise.

Speech & Acoustics

Dialect Ground Truth

Raw speech can contain accents, dialect variation, overlapping speakers and background noise. Human evaluation transforms those recordings into structured, usable data.

Transcription Timestamping Speaker Data Dialect
Raw_Audio.wav Human Verified
00:00.0 00:04.8
Human Transcript

"नमस्ते, क्या आप मेरी सहायता कर सकते हैं?"

Expert Network

When AI needs more than generic labels.

Some AI evaluation problems require people who understand the subject itself. KELYVO is building specialist contributor networks around those workflows.

Active Specialist Focus

Music & Audio

A developing network of professional musicians and audio specialists for AI music and audio evaluation workflows.

Music Evaluation

Human listening & assessment

Harmonic Analysis

Structured musical attributes

Acoustic Review

Specialist audio assessment

Network Expansion

Healthcare & Medical

Future specialist cohort

Engineering & Technical

Future specialist cohort

Additional Domains

Added as demand develops

Operating Model

From requirement to ground truth.

Every project begins with a defined requirement and ends with structured, reviewed output.

Discuss a Workflow
01

Requirement

Define modality, task, volume, guidelines, contributor requirements and delivery format.

02

Contributor Sourcing

Identify contributors according to language, skill, experience or specialist knowledge.

03

Training & Qualification

Contributors receive project instructions and qualification tasks before production.

04

Production

Qualified contributors complete collection, annotation or evaluation tasks.

05

QA & Review

Work is reviewed against project guidelines, with corrections and additional checks where required.

06

Structured Delivery

Final outputs are organized according to agreed specifications and prepared for delivery.

Delivery Controls

Clear controls from brief to delivery.

Each engagement is defined around its own task requirements, contributor profile, review criteria and final delivery format.

Defined scope

Task requirements, acceptance criteria and delivery format are set before production.

Qualification gates

Contributors are prepared against the requirements of the specific workflow.

QA checkpoints

Review is built into the workflow rather than left to the final handoff.

Delivery-ready output

Results are organized to the agreed structure so teams can move them into their next workflow.

Engagement Path

Start focused. Scale when ready.

Engagements can begin with a focused pilot, move into production once the workflow is validated, and expand across languages, modalities or volume as requirements grow.

01 Pilot

Validate the workflow

Test task design, contributor fit, instructions and acceptance criteria on a focused sample before larger production.

02 Production

Run the requirement

Move into defined production with qualified contributors, repeatable instructions and ongoing quality review.

03 Scale

Expand with confidence

Extend the workflow across new languages, modalities, specialist cohorts or larger volumes when the use case is ready.

Start a Conversation

Scope an early pilot.

Tell us what your AI system needs. Share the modality, volume, language or evaluation requirements and we'll scope the appropriate human workflow.

Your project information will be sent to the KELYVO team.

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