Context systems for conversational and agentic AI.

Different AI products need different memory, retrieval, and orchestration designs. We build domain-specific context architectures for systems that need to stay relevant, reliable, and stateful in production.

Context Systems

Task memory, retrieval, prompt assembly, and state management designed for the workflow at hand.

Agent Orchestration

Scoped tools, multi-step execution, durable handoffs, and specialist-agent coordination.

Production Reliability

Graceful fallback, evaluation, failure-aware design, and controlled context injection.

Systems We're Building

Arkadia

A companion AI product grounded in real animals and real behavior. Arkadia uses selective memory and conversational context to help users learn, explore, and build real-world connection.

Enter Arkadia

WebiOS

Ark

A stateful trading agent that manages research, portfolio reasoning, and simulated execution through conversation. Ark is one of our core environments for testing task-scoped memory, agent coordination, and context design in high-stakes workflows.

Join Testing Group · contact@lexisark.com

Pilot Programs

We work with select teams building conversational and agentic AI systems that need better context, memory, and orchestration in production.

contact@lexisark.com

Ping Quiz: Our iOS experiment exploring new UX patterns.