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Mobile app giving AI-generated football match predictions across 50+ leagues; betting-focused, accuracy self-reported.
AI odds engine that computes its own match probabilities and compares them to bookmaker lines across 11 sports to flag positive-value bets.
Infrastructure company building large-scale GPU data centers and compute for AI, including Anthropic's compute buildout.
Agentic coding platform (Cosmos) that runs software-dev agents at org scale, using a codebase context engine to cut token cost.
Pay-as-you-go API aggregating thousands of image, video, audio and LLM models with custom inference hardware for lower per-request cost.
No public pricing
Free trial available
No public pricing
Free trial available
Free trial available
- ✦ML-based football match predictions
- ✦Confidence ratings per prediction
- ✦Coverage of 50+ leagues
- ✦Real-time match updates and alerts
- ✦Statistical team and player analysis
- ✦Model-derived 'true' odds compared against 40+ bookmakers
- ✦Continuously refreshed positive-edge value-bet stream
- ✦Free live match predictions with confidence percentages
- ✦Coverage across football, basketball, tennis, cricket, and more
- ✦Full audit trail of logged and settled bets
- ✦Chat-based betting bot assistant
- ✦Large-scale GPU and data-center infrastructure for AI
- ✦Power acquisition and data-center design/build
- ✦Fast deployment (gigawatts in ~6 months)
- ✦Operates both hardware and software stack
- ✦Context Engine for codebase understanding
- ✦Agents across the full SDLC
- ✦Model routing / bring-your-own-keys
- ✦Automated code review and test coverage
- ✦CLI, MCP and native tool integrations
- ✦Enterprise security (SOC 2, ISO 42001, SSO)
- ✦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
- →Inform soccer betting decisions
- →Track predictions across many leagues
- →Get real-time match alerts
- →Bettors looking for statistically positive-value wagers
- →Users wanting free live win-probability predictions
- →Bettors tracking model performance transparently over time
- →Training and running large AI models at scale
- →Provisioning GPU compute for AI labs
- →Building dedicated AI data-center capacity
- →Automating PR code review
- →Raising test coverage
- →Incident investigation and remediation
- →Large-scale migrations and onboarding
- →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