Forward-deployed engineering, installable workflows, session scoring, and agent memory. Each stands on its own. They compound when you run them together.
Our engineers embed with your team, find the use case worth building, and ship it. The first working prototype lands in two to four weeks. We stay until it runs in production.
You leave with a shipped capability and a roadmap your team can run without us. All IP stays with you. No lock-in.
Most AI tooling fails at the workflow level. Teams guess at what to run, in what order, with which guardrails. Each Marketplace bundle encodes that judgment and installs straight into Claude Code.
Eleven bundles are live, from Cagan-style product discovery to consulting-grade analysis. Install one and your team inherits the method on day one.
A self-hosted scoring engine that ingests real Claude Code and Codex CLI sessions and grades them on Quality, Cost, Speed, and Gate Pass.
It routes each task to the cheapest model tier that handles it, so routine work stops running on your most expensive model. Design-partner access is open now.
AI coding agents forget everything between sessions, so they re-litigate settled decisions and repeat old mistakes. Arth Memory keeps the reasoning behind your code and serves it back to agents over MCP and to humans over REST.
A hard constraint like “no secrets in git” blocks a matching change before it lands. It runs fully local with zero cloud egress, Apache-2.0 licensed. Early access is open.
Thirty minutes with the engineers who’d do the work.