rigami.
/// AI Solutions

AI, applied to
your industry.

54 production AI use-cases across 6 capabilities and 9 industries — grounded in real reference builds.

/// LLM-native apps

Product surfaces built from the ground up around LLMs — chat, co-pilot, structured generation — with streaming, tool-calling and graceful degradation.

/// RAG over your data

Retrieval-augmented generation grounded in your internal corpus — vector search, hybrid retrieval, chunking strategies that preserve meaning.

/// Agentic workflows

Tool-using agents that execute multi-step work reliably — with deterministic evals, retries, budgets and full trace observability.

/// Voice agents

Real-time voice applications — inbound and outbound — with low-latency turn-taking, barge-in and function-calling.

/// Vision & multimodal

OCR, document understanding, moderation and product tagging pipelines — with a POV on cost per frame, not just accuracy.

/// Evals & observability

We treat LLM apps like any other production system — offline evals, online evals, regression suites, tracing and token budgets.