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AI-native fraud and AML platform with real-time decisioning and cross-entity intelligence for banks, fintechs and payments.
Open-source React/Angular SDK and platform for embedding agentic, generative-UI copilots into apps, Slack and Teams.
Pay-as-you-go API aggregating thousands of image, video, audio and LLM models with custom inference hardware for lower per-request cost.
Developer framework and LlamaParse service for parsing documents and building AI agents and RAG workflows over them.
No public pricing
Free trial available
No public pricing
- ✦Access to a verified and engaged participant pool
- ✦Self-serve platform for easy task setup and launch
- ✦Tools for AI training and evaluation
- ✦Fair compensation for participants
- ✦Audience checker
- ✦Real-time AI fraud/AML decisioning
- ✦Adaptive ML detection engine
- ✦Cross-entity link analysis
- ✦AI agents incl. conversational 'Vera'
- ✦Investigation and reporting tools
- ✦Low-latency scoring at high QPS
- ✦React and Angular frontend SDKs
- ✦Agent-rendered generative UI
- ✦AG-UI agent-user interaction protocol
- ✦Connectors for LangChain and other frameworks
- ✦Pre-built customizable chat/sidebar components
- ✦Slack and Teams integrations
- ✦Thread and state persistence
- ✦Single API for image, video, audio, 3D and LLM models
- ✦Standardized model addressing across hosted, partner and custom uploads
- ✦Support for LoRAs, ControlNets, VAEs and embeddings on open-source models
- ✦WebSocket and REST access with async webhook delivery
- ✦Pay-per-request billing with no infrastructure to manage
- ✦Raw serverless GPU/CPU compute for custom workloads
- ✦LlamaParse document parsing and extraction
- ✦Open-source framework for AI agents and workflows
- ✦Document indexing for retrieval/RAG
- ✦Prebuilt solutions by industry and use case
- ✦Free starter credits for LlamaParse
- →Academic research
- →AI training and evaluation
- →Market research
- →User research & testing
- →Data annotation
- →Training & alignment
- →Evaluation & safety
- →Stop payment, card and check fraud
- →Prevent account takeover and application fraud
- →Meet AML/BSA compliance
- →Onboard customers with less friction
- →Adding an AI assistant to a SaaS product
- →Building agents that render interactive UI
- →Deploying copilots across Slack and Teams
- →Connecting existing agents to a frontend
- →Adding AI image or video generation to an app without managing infra
- →Batching multi-modal generation tasks in one API call
- →Running custom fine-tuned models via Model Upload
- →Cutting inference costs at high generation volume
- →Parse complex documents for AI apps
- →Build RAG and agent workflows
- →Automate invoice and claims processing
- →Search across technical documents
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