Synthetaic
Revolutionize data analysis: no labeling, instant AI deployment, multi-dimensional.. [Contact for Pricing]
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What is Synthetaic?
Synthetaic (now rebranded as RAIC Labs) is an end-to-end AI pipeline that provides Rapid Automatic Image Categorization (RAIC), a computer vision tool that enables users to find, classify, and detect objects in large, unlabeled visual datasets without time-intensive human labeling or pre-built models. The tool ingests unstructured, unlabeled data including still photographs, full-motion video, satellite earth observation imagery (RGB and SAR), and drone footage, then uses unsupervised and generative AI to rapidly train and deploy AI models that outperform the speed and accuracy of traditional approaches.
RAIC works by allowing users to provide a single example object image, after which the system finds similar objects in the unlabeled dataset and returns contextually-related results. Users can improve the AI through an intuitive human nudge tool that identifies the best results. The platform offers two training modes: Quick Train for time-critical use cases or rapid prototyping (training a model in about 30 seconds), and Deep Train for traditional high-accuracy models when time is less constrained. Models can be run via button press within RAIC or accessed through cloud-hosted APIs, and can be exported to run on edge devices.
The tool is designed for organizations across every industry including healthcare, geospatial AI, security, conservation, emergency response, and satellite imaging. Clients include organizations like the World Food Programme used for search and rescue operations, Carbon Yield for identifying methane emissions from livestock facilities, and Planet Labs through an official partnership. RAIC enables both experts and non-experts to build and run detection AI models in minutes instead of months, making AI-enabled solutions accessible without traditional dependency on human-labeled data.
Key applications include anomaly detection, object detection (such as finding tanks, elephants, or people running for security), situational awareness, trend identification, baseline insight capture, domain awareness, and disaster impact measurement. The platform is built on Microsoft Azure and offers RAIC Search for instantly finding objects of interest across visual data and RAIC Monitoring for ongoing insights with regular updates on key objects.
Synthetaic pricing
Pricing model: Freemium
Synthetaic/RAIC Labs is a private venture-backed company that raised $17.5 million total ($13M Series A in March 2022, $15M Series B in February 2024). Specific pricing details for free tiers or paid plans are not publicly disclosed on the website. The company appears to operate on an enterprise sales model where organizations contact them directly for pricing. The product is available through Microsoft Marketplace as 'RAIC - Enterprise-Ready AI Insights'. Clients integrate RAIC into existing workflows through cloud-hosted APIs.
Synthetaic pros
- No labeled data required for training
- Trains AI models in about 30 seconds
- Works with just a single example image
- Handles multiple data types: photos, video, satellite RGB and SAR, drone footage
- Quick Train mode for rapid prototyping
- Deep Train mode for high-accuracy production models
- Export models to edge devices
- Cloud-hosted API access
- No coding experience required
- Human nudge tool for improving AI accuracy
- Contextually-associated results for better understanding
- Works for any industry and any use case
- Built on Microsoft Azure infrastructure
- Scales from prototype to production
- Real-time insights for business operations
Synthetaic cons
- Private company with no transparent public pricing
- No free tier available for testing
- May produce false positives with certain objects
- Requires Azure infrastructure dependency
- Enterprise-focused may not suit individual developers
- Limited documentation publicly available
- Rebranded from Synthetaic to RAIC Labs causing confusion
- No self-hosted option mentioned
- Human-in-the-loop still needed for certification
- Training speed trades off with accuracy in Quick Train mode
Frequently asked questions about Synthetaic
What is RAIC?
RAIC stands for Rapid Automatic Image Categorization. It is an unbiased tool that quickly derives insights from large, unlabeled geospatial, video, and image datasets without time-intensive human labeling or pre-built models. RAIC enables users to find and classify anything in minutes, not months, without labeled data by simply providing a single example object image.
How does RAIC work without labeled data?
RAIC combines unsupervised and generative AI with an end-to-end pipeline. The back end uses unsupervised AI that builds its own representation of your data. Users provide a single example image, and RAIC finds similar objects in the unlabeled dataset, returning contextually-related results. A human nudge tool allows users to identify the best results to improve the AI.
What types of data can RAIC process?
RAIC ingests unstructured, unlabeled data from multiple sources including still photographs, full-motion video, satellite earth observation imagery (both RGB and SAR), and drone footage. The platform is data-agnostic and can handle all these visual data types.
What is the difference between Quick Train and Deep Train?
Quick Train is designed for time-critical use cases or rapid prototyping and can train an AI model in about 30 seconds. Deep Train is a traditional, high-accuracy model for when time is less of a constraint. Users can choose based on their needs for speed versus accuracy.
Can I use RAIC without coding experience?
Yes, RAIC is built for business with no coding experience required. Running a model is as easy as pressing a button within RAIC, making it accessible for both experts and non-experts to build and run detection AI models.
What industries use RAIC?
RAIC serves every industry including healthcare, geospatial AI, security, conservation, emergency response, and satellite imaging. Specific clients include the World Food Programme for search and rescue operations, Carbon Yield for identifying methane emissions, and Planet Labs through an official partnership.
Can I export RAIC models to run offline?
Yes, you can export the model to run on your edge device or within your operations. Models can be run via button press within RAIC or accessed through APIs, providing flexibility for different deployment scenarios.
What is Synthetaic's AI for Impact program?
AI for Impact is a program designed to break down barriers to traditional AI by reducing the cost, labor, and time needed to bring transformative projects to life. Since 2019, RAIC Labs has been driven by a mission to make a meaningful difference in the world through this program.
How accurate is RAIC compared to traditional approaches?
Synthetaic combines unsupervised and generative AI with their end-to-end pipeline to rapidly train and deploy AI models that outperform the speed and accuracy of traditional approaches. The human nudge tool allows users to improve accuracy by identifying the best results through iteration.
What is RAIC Search and RAIC Monitoring?
RAIC Search instantly finds objects of interest across all types of visual data by simply providing a single example, thanks to advanced embeddings technology. RAIC Monitoring uses models combined with an image embedding space to deliver ongoing insights from visual data, keeping users informed with regular updates on key objects of interest.