Human-validated training data | Pilot-to-scale delivery | Multimodal coverage

Josisoft Technologies

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Managed AI data services

Production‑ready data for AI that must perform in the real world.

Josisoft provides human-validated data annotation, collection, curation, and quality assurance across image, video, text, audio, document, LiDAR, and geospatial modalities.

Human-in-the-Loop QA Enterprise SLAs Strict Data Security

Multimodal AI data annotation workspace showing vehicle bounding boxes, LiDAR cuboids, audio diarization, document OCR, geospatial polygons and NLP entitiesREPRESENTATIVE WORKFLOW
Synthetic examples demonstrate annotation task capability; no client data is shown.
Human validated
Multimodal
Pilot to scale
Traceable
Core services

Data operations across the AI lifecycle.

From source collection to model-ready delivery, each workflow is designed around your task, tooling and acceptance criteria.

Image Annotation

Classification, bounding boxes, semantic/polygon segmentation, keypoints, and captioning.

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Video Annotation

Frame-level labeling, multi-object tracking, action recognition, and temporal segmentation.

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Text & NLP

Named entity recognition (NER), intent classification, sentiment analysis, relation extraction, and search relevance.

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Speech & Audio

Transcription, diarization, timestamps, acoustic events and ASR validation.

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LiDAR & 3D

Cuboids, point segmentation, lanes, trajectories and sensor-fusion review.

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Geospatial

Satellite, aerial, and drone annotations for land cover classification, infrastructure mapping, and change detection.

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Document & OCR

Document layout parsing, KYC & identity document extraction, table recognition, and PII anonymization.

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LLM Training Data

Supervised fine-tuning (SFT), RLHF preference ranking, factuality verification, and safety red-teaming.

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Data Collection

Rights-cleared visual, speech, text, sensor, and multilingual field data gathering.

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Data Curation

Data cleaning, semantic deduplication, class balancing, metadata enrichment, and schema formatting.

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Multimodal Annotation

Cross-modal alignment, image-text pairing, audio-visual synchronization, and spatial-temporal grounding.

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Quality Assurance

Blind gate calibration, 100% review coverage, consensus adjudication, and statistical IAA audits.

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See our annotation capabilities

See the data work behind production AI.

Representative task visuals make annotation geometry, labels, review states and output expectations easy to understand.

Bounding Box Annotation

2D/3D spatial localization with multi-class categorical tagging.

Polygon Segmentation

Sub-pixel boundary contours for irregular, overlapping, and complex shapes.

Semantic Segmentation

Dense pixel-wise classification across complete scene environments.

Keypoint Annotation

Skeletal joint estimation, facial landmark tracking, and ergonomic pose points.

Multi-Object Tracking

Persistent identity (ID) attribution and trajectory mapping across continuous frames.

OCR Annotation

Structured field extraction, tabular data parsing, and text bounding polygons.

Data collection

Representative data, collected with context.

Targeted, ethically sourced visual, acoustic, and telemetry data collection. We capture fully consented, rights-cleared datasets across real-world operational environments tailored to your model's exact edge cases.

Project Inquiry
Sampling & ScopingConsent & Rights ClearanceData CollectionMetadata & ProvenanceValidationCleaning & RedactionDataset BalancingSecure Delivery
Delivery Lifecycle

From pilot validation to enterprise scale.

Every project follows a structured, five-stage roadmap designed to eliminate taxonomy ambiguity, calibrate annotators, and lock quality thresholds before ramping volume.

01

Scoping & Taxonomy Alignment

  • Scope definition, task constraints, and edge-case cataloging
  • Labeling schema architecture and annotation guideline lock
  • Tooling setup (client environment, CVAT, Label Studio, or V7)
02

Qualification & Benchmark Calibration

  • Gold-standard reference dataset curation
  • Blind-gate qualification testing across dedicated annotator cohorts
  • Inter-Annotator Agreement (IAA) and baseline metric alignment
03

Pilot Proof-of-Concept (POC)

  • Controlled small-batch production run (50–200 representative assets)
  • Turnaround velocity and pipeline throughput audit
  • Edge-case log review and guideline calibration with client leads
04

Production Ramp & Concurrent QA

  • Dedicated pod deployment with a strict 1:30 team lead ratio
  • Multi-layered concurrent review (peer audit, automated schema linting)
  • Daily calibration syncs and active edge-case escalation paths
05

Validated Delivery & Continuous Feedback

  • Versioned dataset export in target schema (COCO, YOLO, JSON, VOC)
  • Statistical QA audit report with measured IoU, Kappa, or F1 scores
  • Iterative guideline updates for continuous, long-term ramp
See the complete process
Quality Framework

Acceptance is defined before volume begins.

Quality targets are anchored to clear task definitions, validation metrics, and mathematically measurable acceptance thresholds—including IoU, Cohen’s Kappa, and task-specific F1-scores.

01

Prevent

Comprehensive guideline lock, annotator qualification testing, consensus calibration, and automated gold-standard benchmark tasks.

02

Detect

Multi-layered peer review, blind sampling audits, automated schema validation, and Inter-Annotator Agreement (IAA) tracking.

03

Resolve

Granular error categorization, root-cause taxonomy analysis, senior SME adjudication, and targeted queue remediation.

04

Deliver

Version-controlled dataset exports, end-to-end audit logs, schema verification checks, and formal QA sign-off reports.

DOMAIN EXPERTISE

Dataset workflows shaped by domain context.

Generic labeling fails on industry edge cases. We deploy domain-qualified annotators and dedicated QA pipelines calibrated to your sector’s regulatory and operational standards.

Autonomous Vehicles & ADAS

Multi-sensor camera-LiDAR fusion, 3D cuboid tracking, lane boundary geometry, and critical corner-case scenario labeling.

Healthcare & Life Sciences

Radiology & DICOM imaging, clinical text parsing, PHI/PII de-identification, and HIPAA-aligned adjudication workflows.

Generative & Conversational AI

Domain-specific SFT prompt-response pairs, RLHF preference ranking, hallucination audits, and adversarial safety red-teaming.

Robotics & Industrial Automation

6D pose estimation, surface defect detection, robotic grasp affordance, and assembly-line activity recognition.

Retail & E-Commerce

Visual search categorization, product attribute tagging, multi-intent search relevance, and multilingual catalog taxonomy.

Geospatial & Precision Agriculture

Multispectral drone and satellite imagery, crop health vs. weed semantic segmentation, building footprinting, and change detection.

Additional Sector Coverage: FinTech & KYC Extraction Defense & Surveillance Smart Cities Legal Document AI

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DELIVERY SPECIFICATIONS & FORMATS

Comprehensive multimodal coverage. Model-ready exports.

Image - Video - Text - Audio - Documents - LiDAR - Sensor - Geospatial - Multimodal

Common formats

JSONJSONLCSVXMLCOCOYOLOPascal VOCGeoJSONCustom Schemas

Exports align with client tooling and downstream model pipelines.

Engagement models

PilotFixed projectDedicated teamManaged data operationsLong-term partnershipCollection campaign
START A PROJECT

Ready to scale your production data pipeline?

Share your dataset requirements, target volume, and acceptance criteria. Our engineering team will review your specifications and structure a custom delivery plan.