A quick look at how Graveiens AI partners with teams to deliver human data for AI models.
From data collection and data annotation services to audio transcription and LLM fine-tuning — one accountable partner across every data type, language and domain your models need.
Sourced and captured to spec, with compliance and consent built in from the first file.
Pixel-, frame- and token-level accuracy across every modality, run through a four-stage QA workflow.
Our signature capability: consent-backed voice datasets, end to end from artist onboarding to QA.
Accurate audio transcription services for ASR training and evaluation, across accents and 25+ languages.
Human feedback and subject-matter depth to align, evaluate and fine-tune your models.
Deep Indic plus major Asian and European coverage for truly multilingual AI.
A vetted expert bench you can scale into — human-in-the-loop where it matters most.
A closer look at the data our teams produce every day.
We source and capture image, video, speech and text data across regions and languages — with compliance and explicit consent designed in from the start.
Start a collectionHuman raters compare and rank model responses so your model learns what good looks like — with STEM and domain experts on the hard prompts.
Explore LLM servicesSegmentation and object labels on 3D point clouds for autonomous driving, robotics and spatial AI — depth-accurate and QA-checked.
See annotationWe pair a compliance-first design with a pricing model that lets you try us on real work before you commit budget.
About our teamExplicit-consent onboarding, metadata tagging and an audit trail on every program.
Create, internal review, client review and rework loops — backed by ISO 9001:2017.
You are invoiced for approved deliverables — pilots are close to zero-risk.
Pedagogically trained subject-matter experts from our education heritage.
Model-ready data and human feedback for the systems teams are shipping today.
Trusted by leading AI labs, LLM companies and data platforms.
ISO 9001:2017 certified · consent-backed pipelines · invoiced only on approved deliverables
Graveiens AI is a human-in-the-loop data services company that helps teams build, train and evaluate machine-learning models with high-quality, ethically sourced training data. From raw data collection through annotation, transcription, RLHF-style preference feedback and expert LLM evaluation, we turn messy real-world signals into structured, model-ready datasets your team can trust.
Every dataset is produced by trained annotators, subject-matter experts and voice artists working inside a measured, four-stage quality workflow. Because our roots are in education services, we bring a deep bench of STEM, medical, legal and finance reviewers to the work that needs real judgement — not just clicks. The result is AI training data that is accurate, compliant and genuinely useful for supervised fine-tuning, computer vision, speech and generative-AI programmes.
See how our data services workWe collect, label and validate data for the domains where accuracy and compliance matter most.
Road, in-cabin and sensor data for driver monitoring, perception and autonomy.
Explore automotiveClinically reviewed text, image and audio data with privacy-first handling.
Explore healthcareDocument, transaction and conversational data for fraud, KYC and support models.
Explore financeCatalogue, search and review data for recommendation and NLP models.
Explore retail3D, depth and scene data for immersive and spatial-computing applications.
Explore AR/VRImagery and map data annotated for detection, segmentation and change analysis.
Explore geospatialEvery engagement follows the same measured path from first sample to production scale.
We align on your ontology, edge cases and acceptance criteria before any data is touched.
A small sample task proves quality and turnaround on your real data.
Work scales through our four-stage review — create, internal review, client review and rework.
You download approved files and are invoiced only for deliverables you accept.
Anonymized examples of the kinds of programmes our teams support.
A voice-AI company needed consent-backed speech across several Indic and European languages. We onboarded artists, managed recording and metadata, and delivered accent-tuned, QA-reviewed audio ready for ASR training.
An enterprise fine-tuning a medical LLM needed qualified reviewers. Our SME bench scored responses and wrote reference answers under a strict rubric, improving the signal in their preference data.
A perception team needed pixel-accurate labels on a large image and LiDAR set. We adapted tooling to their ontology and scaled annotation while holding a high post-QA accuracy bar.
AI data services turn raw text, image, audio and video into structured, model-ready training data through human collection, annotation, transcription and review. Here is how our managed, consent-first data services model compares to two common alternatives teams weigh up.
| What matters | Graveiens AI | Crowd-only vendor | In-house team |
|---|---|---|---|
| Data consent & compliance | Explicit-consent onboarding, metadata tagging and an audit trail on every program | Provenance often unclear | Depends on internal policy |
| Subject-matter expertise | STEM, medical, legal & finance SMEs from an education heritage | Generalist crowd | Limited by headcount |
| Language coverage | 25+ languages, deep Indic plus major Asian & European | Varies by pool | Usually one or two languages |
| Quality assurance | Four-stage QA: create, internal review, client review and rework | Often single-pass labeling | Ad hoc review |
| Pricing risk | Invoiced only on approved deliverables | Paid per task regardless of outcome | Fixed salary overhead |
| Time to scale | Pilot to production on a vetted expert bench | Fast but variable | Slow hiring cycle |
Common questions from AI teams evaluating Graveiens AI as a data partner.
Graveiens AI provides human-in-the-loop data services for AI teams: data collection, data annotation and labeling, consent-backed multilingual voice data, transcription, LLM fine-tuning (SFT and RLHF) and LLM evaluation. The company is ISO 9001:2017 certified.
We work across text, image, video and audio in 25+ languages — covering data collection, annotation and labeling, transcription, and model-ready human feedback.
Pilots and projects are billed only for approved deliverables. Files pass internal QA and client review, and you are invoiced only for the files you approve — which keeps pilots near zero-risk.
25+ languages, with deep Indic coverage plus major Asian and European languages, for multilingual voice data, transcription and localization.
Yes. Voice datasets are built with explicit artist consent, metadata tagging and QA audit trails, delivered under an ISO 9001:2017-certified workflow.
Share your task, target language(s) and volume. We scope a sample batch, deliver it through our QA workflow, and you approve the deliverables before scaling.