"GRAP delivered 10,000+ annotated vision frames in 48 hours at a 99.9% accuracy rate. Essential partner for our autonomous model releases."
Powering Enterprise AI With Precision Data & Global Localization
GRAP Solutions extracts unstructured audio, image, text, and POI data out of real-world environments and shapes it into high-precision, ethical training datasets your AI team can deploy instantly.
Backed by 5,000+ global annotators across 40 language hubs. 99.8% Precision SLA.
Shaping AI training data & localization for
Six raw data streams, one shaped workflow.
No more disconnected vendor tickets or messy un-labeled spreadsheets.
Click a panel to open it.
Ethically Sourced Data Collection
On-ground speech audio recording, multi-speaker conversational dialogue, egocentric video, POI field collection, and specialized text corpora sourced transparently under strict fair pay structures.
Explore Collection →Multi-Modal Data Annotation
Computer vision bounding boxes, polygon masks, 3D LiDAR point cloud segmentation, keypoint tracking, audio timestamp diarization, and NLP entity tagging at 99.8% precision SLA.
Explore Annotation →RLHF & Prompt Engineering
Human-in-the-loop prompt creation, pairwise A/B response ranking, safety red-teaming, hallucination verification, and multi-turn conversational fine-tuning for foundational LLMs.
Explore RLHF Loops →Multilingual Transcreation
High-fidelity translation, cultural transcreation, machine translation post-editing (MTPE), and software UI localization across 40+ language hubs by 5,000+ native specialists.
Explore Transcreation →Subtitling & Voice Dubbing
Frame-perfect subtitling, closed captioning (ADA & FCC compliant), millisecond-accurate timestamping, and localized voice actor audio dubbing sync for global media.
Explore Subtitling →Model Quality & Validation
Programmatic bias screening, inter-annotator agreement (IAA) consensus checks, statistical Kolmogorov-Smirnov drift detection, and automated schema validation pipelines.
Explore Model Eval →Enterprise Data & Localization Capabilities
Specialized workflows engineered for AI laboratories, data teams, and global product managers.
Speech & POI Sourcing
Multi-speaker conversational recording, field POI business verification, and egocentric video capture across 40 hubs.
Bounding Box & LiDAR
High-precision image bounding boxes, polygon masks, 3D LiDAR point cloud segmentation, and keypoint tracking.
RLHF & Prompt Engineering
Pairwise A/B response ranking, prompt creation, safety red-teaming, and hallucination verification loops.
Translation & MTPE
Native translation, transcreation, MT post-editing, and software UI localization across 40+ language hubs.
Subtitling & Dubbing
Millisecond-accurate timestamping, closed captioning (ADA/FCC), and audio voice dubbing sync.
Drift Detection & Eval
Programmatic bias screening, inter-annotator agreement (IAA) consensus checks, and automated drift gates.
Test Data Drift & Vector Transformations
Run Kolmogorov-Smirnov statistical assertions in real time.
⚙️ Test Dataset Parameters
📊 Live Diagnostic Log
From raw inputs to model-ready training stores.
Three simple steps to ingest, annotate, and merge production datasets.
Ingest & Schema Assert
Connect S3/Azure buckets, API streams, or raw file dumps. Our automated pre-validation engine checks null constraints, encoding, and data types before human review.
Human-in-the-Loop Review
5,000+ domain annotators, linguists, and subject matter experts annotate, transcribe, rank, or transcreate content backed by tight 99.8% SLA precision gates.
Parity Check & Merge
Automated Kolmogorov-Smirnov drift analysis and IAA consensus validation ensure zero dataset corruption before direct merge into your AI model stores.
Pre-Corpus & Custom Sourcing Catalog
Ready-to-license training corpora across speech, vision, NLP, and medical modalities.
Indic Conversational Speech
1,000+ hours of multi-speaker studio & field conversational audio across 8 Indic regional languages with verbatim transcripts.
View Dataset Details →Urban LiDAR & Camera Fusion
High-density 3D LiDAR point cloud sequences with synchronized 4K camera frames for autonomous driving perception.
View Dataset Details →De-identified DICOM Medical Vision
Anonymized radiology CT scans and X-ray images tagged by verified board-certified radiologists for clinical AI models.
View Dataset Details →Enterprise results across vision, NLP & L10N.
"Localized our SaaS suite across 14 European and Asian markets seamlessly. Zero translation debt and zero regression bugs."
"High-fidelity speech corpora in 8 Indic dialects saved our voice team 6 weeks of field data collection."
Transparent program pricing, zero hidden fees.
Choose a flexible plan or request a custom enterprise scope tailored to your dataset volume.
Billed per batch
For rapid proof-of-concept projects and dataset sample validation.
Start Pilot Program- Up to 2,500 labeled items
- Standard 99.5% accuracy SLA
- CSV / JSONL export
- Direct email support
Billed monthly
For scaling AI teams needing ongoing annotation, RLHF loops, and transcreation.
Start Growth Plan- Up to 15,000 labeled items / mo
- Strict 99.8% precision SLA
- Dedicated Program Manager
- Automated schema validation
- Shared Slack channel support
Billed per program
For enterprise AI labs with multi-modal data streams and air-gapped security needs.
Request Custom Scope- Unlimited multi-modal items
- Guaranteed 99.8%+ accuracy SLA
- VPC / Air-gapped execution
- SOC 2 & HIPAA audit logs
- 24/7 dedicated engineering support
Asked often enough to put here.
What is GRAP Solutions' core expertise?
We specialize in ethically sourcing, high-precision annotating, and localizing datasets for artificial intelligence and machine learning pipelines. Our expertise covers multilingual text corpora, conversational speech annotation, specialized image/video tagging, RLHF (Reinforcement Learning from Human Feedback), and enterprise-grade LLM fine-tuning datasets.
How does GRAP ensure high data quality and accuracy?
We leverage a multi-tiered quality control pipeline. This includes automated data pre-validation, expert domain reviewer passes, high inter-annotator agreement (IAA) consensus checks, and programmatic bias screening. Each stage of the labeling pipeline is backed by tight service level agreements (SLAs) to guarantee precision up to 99.8%.
Is your data sourcing ethically compliant?
Yes, absolutely. Ethical sourcing is at the center of our business model. All our data annotators, crowd-workers, and localized subject matter experts are fairly compensated under strict fair pay structures. We guarantee total transparency regarding data origin, user consent, and copyright licensing for absolute compliance.
What security standard protocols do you follow?
We support secure enterprise environments. Our protocols align with GDPR and HIPAA frameworks, with SOC 2 Type II and ISO 27001 audits currently in progress. We support secure on-premise execution or isolated virtual private clouds (VPCs), alongside secure air-gapped workstations for highly sensitive healthcare or financial intelligence tasks.
Can you scale dataset sizes dynamically for big models?
Yes, our managed crowdsourcing infrastructure connects to a validated network of over 5,000 global contributors across 40 language hubs. We can quickly scale collection and labeling resources for millions of data points, maintaining tight project delivery timelines without compromising quality criteria.
What file formats and upload procedures do you support?
We support almost all standard model data formats, including JSON, JSONL, XML, CSV, Parquet, CoNLL, and proprietary formats for audio/video annotations (e.g. SR, WAV, MP4, DICOM). Uploads can be handled securely via encrypted AWS S3 buckets, Microsoft Azure Blob Containers, secure SFTP, or custom customer-facing APIs.
Point GRAP at a sample of your enterprise data.
Send us a raw dataset sample or scoping prompt and receive annotated outputs or transcreation back inside 24 hours.
Scoping calls scheduled directly to production@grap-solutions.com.