One API key to access 180+ leading AI models at 30-70% lower pricing
Production AI at enterprise scale
Stage
Not given
Established
Founded
Not given
2016
Based in
Not given
US
Pricing model
Paid
Contact for pricing
Pricing
Pay-as-you-go credits at $0.004545 per credit. Image models from $0.001 per image. Video models from $0.005 per second. Text models priced per 1M tokens, with examples: GPT-6 Luna input $0.055 per 1M tokens, output $0.250 per 1M tokens. Music generation with Suno available. Exact pricing varies by m
Flexible subscription, term, and perpetual licensing models. Organizations switching from conventional architectures see 60-80% reduction in total infrastructure cost. CPU-based pricing with no incremental ETL costs.
Key features
Access 180+ AI models through a single API key
Pricing 30-70% lower than official providers
Drop-in replacement: swap baseURL and key, no code rewrite required
Official SDKs for rapid integration
99%+ success rate with live 24-hour monitoring
Async job pipeline with webhook callbacks
Enterprise-grade security with no data training
24/7 human support with real engineers
Free trial with 50 credits on signup
Open-source SDKs and workflow tools
AI on Enterprise Data - bring AI directly to governed enterprise data at petabyte scale
Security - built-in controls for access, governance, and compliance
Deployment Options - cloud, on-premises, or hybrid deployment flexibility
Data Ingest - continuously ingest and prepare high-volume data for AI-ready analytics
Query Optimization - run complex analytics on petabytes of data with predictable performance
Semi-Structured Data - give AI richer context with structured and semi-structured data in one platform
Megalane Parallelism - sub-second queries at petabyte scale
Zero Copy Reliability - no data duplication or redundant storage overhead
Compute Adjacent Data Store - computation happens where data lives
Smart Data Pipelines - continuously governed data pipelines replace manual ETL
What makes it different
Single API key and unified request schema for 180+ models from multiple providers
Minimal migration effort with drop-in compatibility requiring only baseURL and key changes
Real-time monitoring and transparency with 24-hour success rates displayed per model
No data retention or model training on user prompts and outputs
Petabyte-scale performance without moving or duplicating enterprise data
60-80% reduction in infrastructure costs compared to conventional architectures
Production-grade AI delivery with expert implementation and solutions delivery teams
Flexible licensing models aligned to how enterprise AI programs actually scale
Unified platform for ingest, governance, query execution and optimization