Take advantage of the latest Large Language Models (LLMs) to solve document automation challenges. Do more with limited resources and data using improved generative AI-powered zero-, few-, and one-shot learning. Customize AI models and applications using your data faster than ever before. Enhance data extraction accuracy across diverse document types and much more.
Benefit from innovative AI models built by Amazon, Google, OpenAI, and more. Leverage GPT-4 and other cutting-edge AI to solve document automation challenges.
Define project priorities for quality, cost, and speed, then let super.AI intelligently select the best combination of human, AI, and software workers to guarantee outcomes.
Upload documents manually or via API calls, then define project priorities (quality, cost, and speed).
Processing is broken down into smaller tasks, then routed to the best available AI, human, or software worker for processing.
The processed data is intelligently combined into a unified output.
Over 150+ quality assurance mechanisms, including human review for low-confidence results, ensure outputs consistently meet or exceed user defined thresholds.
New AI models are continuously trained and deployed using the combined output.
We onboarded one of your competitors and they failed miserably. They just had a bunch of heuristics they used to extract the data. We have evaluated most alternatives, but this is different. I’ve never seen anything like it. I love the crowd sourcing, intelligent router, and that you can bring in different AI engines.
We simply couldn't have handled our current customer workload in-house before super.AI. Time-consuming, manual data processing was preventing our business from scaling. This partnership has allowed us to significantly expand our workflow beyond what we thought possible.
Intelligent Document Processing (IDP) Has Limitless Possibilities
From financial services to healthcare, the world's biggest industries can benefit from applying IDP to document automation challenges. Discover new AI-powered applications across sectors.
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