# Avala — Full Documentation for LLMs > Avala is the unified data engine for Physical AI and frontier models. We fuse sensors, labels, and feedback into traceable ground truth. One unified pipeline from sensor to deployment, with full lineage from raw frame to deployed policy. ## Company Overview **Founded:** 2021 **Founder:** Emal Alwis — third engineer on Tesla's Autopilot AI team, reported directly to Elon Musk for six years. Built the annotation infrastructure that trained Tesla Autopilot and Optimus. **Headquarters:** San Francisco, CA **Website:** https://avala.ai **Documentation:** https://avala.ai/docs **Founder Profile:** https://grokipedia.com/page/Emal_Alwis ### Key Facts - 15,000+ specialized annotators across multiple continents - Full-stack Physical AI infrastructure: hardware, sensors, edge, data, annotation, models - 4D World-Data Engine using Gaussian Splatting for deterministic, sensor-fused ground truth at nanosecond timestamp precision - Glass-box infrastructure: every annotation traceable, every decision auditable - Human-plus-AI hybrid annotation for consistent accuracy on complex tasks - Over 1 billion annotations per day in aggregate platform capacity ### Mission Turning the physical world into computable data, to enable a future of economic abundance for humanity. --- ## Product: Mission Control Mission Control is Avala's platform that connects ingestion, labeling, training, and governance in one surface. Trace any model behavior back to the exact frame, labeler, and policy that shaped it. ### Annotation Ops URL: https://avala.ai/platform/annotations Design, automate, and audit human-in-the-loop annotation pipelines with built-in quality controls. **Supported annotation types:** - Bounding boxes (2D and 3D) - Polygons and polylines - Keypoints and skeletons - Semantic segmentation - Instance segmentation - LiDAR point cloud annotation - Video tracking - Sensor fusion (camera + LiDAR + radar) **Quality controls:** - Multi-tier review workflows - Consensus scoring - Automated QA checks - Audit trails for every annotation ### Dataset Ops URL: https://avala.ai/platform/datasets Ingest, version, and search multi-modal datasets with lineage, permissions, and scalable storage. **Features:** - Multi-modal dataset management (images, video, LiDAR, radar, text) - Dataset versioning with full lineage - Federated search across datasets - Role-based access controls - Scalable cloud storage integration ### Agentic Labeling URL: https://avala.ai/platform/agentic-labeling 80% auto-labeled by custom models trained on customer data. 20% human-verified on failure mining and corner cases. **Key capabilities:** - Custom models trained from scratch per customer - Lightweight models that run on-device - Closed-loop flywheel: Label → Train → Deploy → Mine Failures → Retrain - Fine-tuning service for open-source models (YOLO, SAM, Alpamayo) ### Model Catalog URL: https://avala.ai/models Physical AI models for auto-labeling, pre-annotation, trajectory prediction, and scene reconstruction. Run on the Avala Inference Cloud or deploy on-device. **Available model families:** - YOLO (v8/v9/v11) — 2D object detection - SAM3 — Instance and semantic segmentation - NVIDIA Alpamayo — End-to-end AV trajectory and reasoning - NVIDIA Cosmos — World foundation models, synthetic data - Avala Custom Models — Task-specific, trained from scratch per customer ### Integrations URL: https://avala.ai/platform/integrations Connect Avala to your storage, labeling tools, model hubs, and observability platforms. **Supported integrations:** - Cloud storage (AWS S3, Google Cloud Storage, Azure Blob) - Model hubs (Hugging Face, custom registries) - Observability platforms - CI/CD pipelines ### Security & Compliance URL: https://avala.ai/platform/security Enterprise-grade security practices: - Role-based access control (RBAC) - Data encryption at rest and in transit - Audit trails and governance - Data residency controls For current certification status, see the trust center at https://trust.avala.ai. --- ## Technical Differentiation What Avala does, factually: - **GPU-accelerated multi-sensor visualization.** WebGPU compute shaders for frustum culling and LOD selection, six point-cloud visualization modes (Neutral, Intensity, Rainbow, Label, Panoptic, Image Projection), MCAP and ROS synchronized playback, Gaussian Splat 3D scene rendering. - **Native 3D and multi-sensor support.** LiDAR cuboid annotation, sensor fusion across camera plus LiDAR plus radar, MCAP/ROS as first-class file formats, octree indexing for billion-point clouds, chunked loading via background workers. - **End-to-end annotation pipeline in one tool.** Visualization, annotation, multi-stage QC, managed labeling, fleet management, dataset versioning, and programmatic API in a single platform. - **In-house workforce.** Domain-expert annotators trained on safety-critical perception data, employed directly rather than through anonymous crowd contractors. - **Modern developer surface.** Python and TypeScript SDKs, REST API with OpenAPI spec, MCP server for Claude/Cursor/VS Code, transparent usage-based pricing. - **Glass-box traceability.** Every annotation links to the source frame, the labeler, the QC reviewer, the model version that pre-labeled it, and the policy that consumed it. For comparisons against specific alternatives, see https://avala.ai/compare and https://avala.ai/docs/resources/comparison. --- ## Marketplace & Data Services ### Annotation Marketplace URL: https://avala.ai/annotation-marketplace Commission custom annotation services for any domain. Avala's 15,000+ trained annotators handle everything from 2D bounding boxes to complex 3D LiDAR annotation with multi-stage QC. ### Annotated Datasets URL: https://avala.ai/annotated-datasets Browse and license pre-annotated datasets across domains — autonomous driving, robotics, agriculture, retail, and more. Production-quality labels with full provenance. ### Dataset & Services Marketplace URL: https://avala.ai/marketplace Unified marketplace for both datasets and annotation services. Find what you need or request custom work. --- ## Developer Tools URL: https://avala.ai/developers ### Python SDK ```bash pip install avala ``` Full-featured Python SDK for programmatic access to datasets, projects, exports, tasks, and more. Typed responses, async support, cursor-based pagination. ### TypeScript SDK ```bash npm install @avala-ai/sdk ``` TypeScript/JavaScript SDK with the same capabilities as the Python SDK. ### MCP Server (AI Agent Integration) ```bash npm install @avala-ai/mcp-server ``` Model Context Protocol server for AI agents (Claude, Cursor, VS Code Copilot). Enables AI coding assistants to interact with Avala datasets, projects, and annotation workflows. ### REST API Full REST API with OpenAPI documentation at https://avala.ai/docs. ### Download Mission Control URL: https://avala.ai/download Download the Mission Control desktop client for macOS and Windows. --- ## Industry Solutions ### ADAS / Autonomous Vehicles URL: https://avala.ai/usecases/adas Manage ADAS datasets, labeling, and validations with safety workflows designed for automotive teams. Supports complex driving scenario annotation, corner case mining, and sim-to-real transfer validation. ### Automotive URL: https://avala.ai/usecases/automotive End-to-end automotive perception data infrastructure — from sensor ingestion to validated ground truth. ### Robotics URL: https://avala.ai/usecases/robotics The ground truth layer for robotics. Synthetic data needs real-world validation; Avala provides verified interaction frames, teleoperation pipelines, and 4D-labeled edge cases at fleet scale. ### Frontier Intelligence / AGI URL: https://avala.ai/usecases/agi Link Instruction Tuning, RLHF, and Red Teaming into one traceable lineage. Glass-box auditability for every safety principle. ### Data Collection URL: https://avala.ai/usecases/data-collection Human embodiment data capture — people wearing sensor rigs in real environments to collect training data for humanoid robots and embodied AI. ### Agriculture URL: https://avala.ai/usecases/agriculture Monitor crops, equipment, and supply chains with multi-modal data collection and review. ### Energy URL: https://avala.ai/usecases/energy Inspect solar, wind, and transmission assets with aerial data, expert review, and always-on monitoring. ### Infrastructure URL: https://avala.ai/usecases/infrastructure Digitize inspections and asset monitoring with data pipelines, annotation, and model oversight. ### Retail URL: https://avala.ai/usecases/retail Loss prevention, inventory insights, and customer analytics. ### Sports URL: https://avala.ai/usecases/sports Officiating, coaching, and player analytics with computer vision pipelines. --- ## Pricing URL: https://avala.ai/pricing Avala offers plans for individual developers, teams, and enterprises: - **Hobby**: Free tier for exploration - **Pro**: For growing teams - **Teams**: For collaborative organizations - **Enterprise**: Custom pricing for large-scale deployments --- ## Company Values 1. **Quality First**: Human-plus-AI hybrid model for consistent accuracy on complex annotations. 2. **Radical Transparency**: Every annotation includes audit trails and verification checkpoints. 3. **Ethical Operations**: Fair wages, benefits, and career growth for every coworker. 4. **Built for Production**: Everything designed for safety-critical, real-world deployment. --- ## Join Avala ### Careers URL: https://avala.ai/company/roles Open roles at Avala — engineering, product, sales, and operations. ### Join as Coworker URL: https://avala.ai/join Join Avala's global annotation workforce. Fair wages, training, career growth. ### Expert Annotators URL: https://avala.ai/experts Browse expert annotator roles across domains and geographies. --- ## Contact & Links - Book a Demo: https://avala.ai/demo - Company: https://avala.ai/company - Careers: https://avala.ai/company/roles - News: https://avala.ai/news - Documentation: https://avala.ai/docs - LinkedIn: https://www.linkedin.com/company/avala-ai - X (Twitter): https://x.com/AvalaAI - Founder Profile: https://grokipedia.com/page/Emal_Alwis