Privacy-first intelligent systems

Where human ingenuity meets AI. Built to be trusted.

Retis.ai creates clean, production-ready experiences for multi-agent orchestration, model benchmarking, and audience-perfect content generation.

Distributed workflows for collaborative agents.

Autonomous trading and treasury agents for finance-aware operations.

One human-authored idea, many audience-aware outcomes.

The Portfolio

A focused product family for serious environments.

The Retis ecosystem is designed with clearer positioning and deliberate storytelling, ensuring your transition to AI is both powerful and secure.

Prompits

A modular framework for collaborative AI agents, reusable skills, and distributed execution.

Attas

A finance-focused agent system for market data, treasury operations, and coordinated decision workflows.

Phemacast

Phemacast adapts a creator's Phema into articles, slides, video scripts, and concise summaries without losing voice.

Why Retis

Privacy-first execution with self-hosting paths for teams that need control.

Multi-agent collaboration backed by modular workflows and evolutionary improvement.

Open, inspectable systems that support experimentation without locking users in.

Blog

Essays on agents, MCP, financial infrastructure, and the practical future of autonomous systems.

January 8, 2026 · 7 min read

Why financial data infrastructure needs interacting user, broker, and vendor agents instead of pretending one interface can surface every trade-off.

November 13, 2025 · 7 min read

A practical argument for multi-agent financial systems when protocol-level integration alone still leaves major workflow gaps.

May 9, 2025 · 4 min read

A plain-language explanation of what gives software agency, and how agents differ from tools, APIs, and prompt-driven apps.