AI-Native
AI operations are first-class language constructs. Complete, embed, extract, and classify with simple function calls. Automatic batching and model tiering for cost efficiency.
Simplex combines Erlang's fault-tolerance, Rust's memory safety, and first-class AI integration to build distributed, resilient applications. Powered by Cognitive Hive AI architecture.
Simplex code is clean and readable. AI operations are first-class citizens, not external API calls. Actors provide natural isolation and fault tolerance.
actor Chatbot {
var history: List<Message> = []
receive Chat(user_msg: String) -> String {
history.push(Message::user(user_msg))
let response = await ai::complete(
build_prompt(history)
)
history.push(Message::assistant(response))
checkpoint()
response
}
}
Built from the ground up for the AI era, combining the best ideas from proven technologies.
AI operations are first-class language constructs. Complete, embed, extract, and classify with simple function calls. Automatic batching and model tiering for cost efficiency.
Programs naturally decompose across VM swarms. Content-addressed code enables seamless distribution. Actors migrate transparently between nodes.
Embrace the "let it crash" philosophy from Erlang. Supervision trees automatically restart failed actors. Checkpointing enables resumption on any node.
Orchestrate swarms of specialized Small Language Models instead of monolithic LLMs. Achieve 88-96% cost savings while maintaining quality and gaining control.
Computations checkpoint and resume transparently. Survive spot instance terminations, network partitions, and hardware failures without losing progress.
Clean, readable code that compiles to efficient bytecode. Static typing with aggressive inference means fewer annotations without sacrificing safety.
Simplex combines proven ideas from the best programming languages and systems.
Actor model, supervision trees, "let it crash" philosophy, and battle-tested fault tolerance patterns.
Ownership-based memory management, no garbage collection, algebraic data types, and pattern matching.
Distributed computing primitives, seamless scaling across clusters, and AI/ML workload optimization.
Content-addressed code where functions are identified by hash, enabling perfect caching and distribution.
Simplex excels at building enterprise applications on a Cognitive Hive AI architecture.
AI-powered content creation, automatic tagging and categorization, semantic search, and intelligent content recommendations.
Intelligent lead scoring, sentiment analysis, automated response suggestions, and predictive customer insights.
Automatic document classification, entity extraction, summarization, and semantic document search.
Distributed data processing with fault tolerance, automatic retry, and seamless scaling across compute clusters.
Build autonomous agents with tool use, memory, and reasoning capabilities using specialized language model swarms.
Event-driven architectures, stream processing, and real-time analytics with sub-millisecond actor messaging.
Cognitive Hive AI architecture delivers massive cost reductions compared to traditional approaches.
Reference Architecture
1000 actors, 10M messages/day: 20 spot instances + 3 coordinators + 2 GPU nodes + S3 storage. Run on commodity ARM instances (t4g.nano/micro) with 90% spot instances for maximum savings.
Start building AI-native, distributed applications today.