Synnada
Rethinking how intelligent systems are built.
We're an AI infrastructure company. We're building a future where data science and intelligent systems are reliable, scalable, and agent-native—from prototype to production.
Software organized human work. The next generation of systems will be built from persistent agents that reason, act, and coordinate continuously.
Today's infrastructure was designed for data pipelines and services, not for networks of intelligent agents operating at scale.
We're building Synnada as infrastructure for the agentic economy—making agent systems reliable, deployable, and able to operate continuously in the real world.
We are engineers and builders who have shipped production infrastructure for modern data and AI systems: core contributors to Apache DataFusion, and creators of Mithril (a production-grade ML compiler), Tenet (multi-cloud deployment for AI workloads), and Agentia (a runtime for persistent agent systems with first-class code execution).
Our technology powers production decision systems in large-scale digital businesses, where automated intelligence replaces months of manual analysis with continuously operating agents.
We build systems meant to run for years, not demos meant to run for minutes.
Infrastructure for the agentic economy requires more than models and APIs. Persistent agents need reliable execution, coordination across environments, and systems that evolve without constant rewiring.
We build infrastructure that allows intelligent agents to operate continuously—across clouds, datasets, and decision loops—with the reliability required for production systems.
Our focus is correctness, efficiency, and long-term operability, so agent systems can grow without collapsing under their own complexity.
Agent-native data science is the first large-scale application of persistent agents.
Efron combines reasoning, code execution, and machine learning into continuously operating decision systems. Instead of isolated analyses and one-off models, agents learn from data, run experiments, and produce decisions over time.
We build systems where humans and agents operate together—agents extending teams rather than replacing them.
Most intelligent systems never leave the prototype stage. Production intelligence requires infrastructure that supports continuous operation and evolution.
Mithril compiles models for efficient execution. Tenet deploys intelligent systems across clouds. Agentia provides the runtime for persistent agents.
Together they form infrastructure for long-running intelligent systems—the foundation of the emerging agentic economy.