Brain Builder

Enhance your ability to deal with new issues or to overcome writer's blocks, increase your focus and improve your thoughts-processing speed. The tool includes a brain coach, stimulating music as well as exercises and games. Check out the embedded charts to see how much you've progressed in the previous interval.

Start in Brain Builder by creating a project and pulling in your images or video frames from a folder, cloud bucket, or camera feed. Define classes, build datasets, and label with bounding boxes, polygons, keypoints, or text regions using fast keyboard shortcuts. Turn on model-assisted labeling to auto-suggest tags and accelerate review. Split your data into train/validation/test sets, apply augmentation policies, and set quality gates so every annotation gets a second pass. When a mislabel is found, correct it in place—the dataset version updates automatically, keeping your history intact.

With data ready, pick a model template (detection, classification, segmentation, OCR) and choose a backbone that matches your compute budget. Set batch size, learning rate, and image resolution, or start with a preset. Kick off training and watch live metrics: loss curves, precision/recall, confusion matrix, and per-class performance. Hard examples are surfaced for quick re-labeling, and the system proposes samples that will improve recall. Trigger lightweight fine-tunes between labeling sessions so the assistant gets smarter as you work, compressing iteration cycles to hours instead of long waits.

When accuracy meets your target, deploy with one click. Publish a managed cloud endpoint, export a Docker container for Linux edge devices, or bundle a lightweight runtime for iOS and Android. Validate on a streaming feed, tune thresholds and NMS, and compare versions with A/B tests or canary rollouts. If a release underperforms, roll back instantly. Integrate with your stack using REST or gRPC, wire webhooks to downstream apps, and use the CLI/SDK to place training and deployment into CI/CD. Background optimizations continue in dev and staging, so improvements land without interrupting your pipeline.

Operational insight is built in. Convert raw predictions into actionable reports: accuracy by site, latency by device, drift over time, and error breakdowns by class. Track business KPIs linked to detections (e.g., defect rate per line, on-shelf availability), and export results to CSV, Parquet, or dashboards. Set alerts for metric thresholds and route low-confidence cases back into the labeling queue for continuous learning. Manage access with roles, enforce approval workflows, and keep an auditable trail of data, models, and deployments. Use templates to jump-start common jobs—inspection, shelf analytics, document extraction, crop health, or PPE checks—and adapt them to your needs in minutes.