Consulting · 6 engagements

AI that runs the business, and behaves.

We design, build and govern AI systems for operators: operations brains, governed agent workflows, context architecture. Every build ships with the Reshimu runtime underneath it, so the agents that act on your behalf are classified before they act.

Three shapes

Assess. Build. Embed.

Most engagements start with Assess and move to Build. Embed is for companies treating AI as infrastructure, not a feature.

Assess

Audit the workflows.

We map where AI belongs in your operation and where it does not. You get a risk-ranked automation map and a roadmap you can hand to anyone.

2 weeks · fixed fee
Build

Custom automations, governed.

Designed and deployed by us, governed by the Reshimu runtime from day one. Production systems, not demos.

4–12 weeks · scoped
Embed

Your AI infrastructure team.

Ongoing. We own the stack, the context, and the governance layer, and we keep it honest as the tools change under it.

Monthly · limited seats

Current work

What's running now.

Client names are shared when the client has said yes. Otherwise the shape of the work is public and the details are on request.

Build · Construction · New York + BogotáNow running

An operations brain for a $100M+ GC

Multinational general contractor

Monday.com, Procore and Bluebeam wired into one governed context. Structured context pipelines, governed agent workflows, and answer-engine infrastructure, so the operation runs on retrieved institutional knowledge instead of tribal memory.

Active engagement · ongoing

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Build · Property managementNow running

Property OS

RENTROLL.AI

An AI operating system for a real-estate portfolio. Custom automation workflows, governed agent execution, and structured context pipelines built to carry the operational load.

Active engagement · details on request

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Assess · AI infrastructure · StrategyOpen

AI context architecture

Founders and operators

Turns institutional knowledge into callable, reusable context. Setup overhead drops, and AI work stays consistent across sessions, tools and agents.

Available as a standalone two-week engagement

Start here
Open Source · AI governance · Open sourceShipped

The Reshimu runtime

Reshimu

Four runtime validators for autonomous agents: NESHER (irreversibility), SHOR (grounding), ARYEH (scope), PANIM ADAM (ambiguity), plus the Atzmut OS MCP server and a TypeScript SDK.

@reshimu/* on npm · shipped

Documentation
Product · Live commerceNow running

LiveStreamPro.ai

LiveStreamPro.ai

A real-time intelligence layer for live-commerce sellers. Bid velocity, buyer history and engagement signals surfaced on the stream page at the moment they change the call.

In development · pre-launch

livestreampro.ai
Product · Main Street acquisitionsUnder construction

Main Street Alpha

Main Street Alpha

Acquisition intelligence for durable Main Street businesses. A listing-data engine, fit scoring, and structured intake for buyers, sellers and lenders, with an operating-modernization layer for the business after the deal.

Prototype and data engine built · backend in progress

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Start a conversation

Tell us what you're trying to automate.

If it's a fit, we scope it in one call. If it isn't, we'll say so and point you somewhere better.

Book a scoping call hello@reshimu.ai