Your engineering team is managing 15+ AI tools.
None of them talk to each other.
Models change every quarter. Your workflow shouldn't. Arth unifies your AI stack into a single, orchestrated layer — so your team ships faster without re-learning a new tool every quarter.
From AI-curious to AI-native. Arth (अर्थ) means "meaning" — that's what we bring to a market that changes faster than most teams can keep up with.
Teams building with Arth
From Tool Sprawl to AI-Native Velocity
Engineering leaders recognize this immediately. The left is where most teams are stuck. The right is where Arth takes you.
15+ disconnected AI tools
- Engineers spend 40% of time switching between tools
- No visibility into AI spend or output quality
- Every model upgrade breaks your workflow
One unified AI platform
- One workflow that runs across every AI tool
- Real-time quality, cost & speed scoring per model
- Model upgrades never break your process again
See the full Arth stack in 5 minutes
Watch how engineering teams go from managing 15+ disconnected AI tools to a single, orchestrated workflow — without changing how they work.
Three ways to operationalize AI
Pick the layer you need. Use all three when you're ready.
Arth Consulting
A structured engagement that takes a leadership team from "we should be doing AI" to a shipped, measurable capability. Five phases. No lock-in. You retain all IP.
Arth Intelligence
A scoring engine that measures every AI tool across Quality, Cost, Speed, and Gate Pass, then routes your work to whichever model actually handles it best.
Arth Marketplace
33+ specialized agents, 34+ workflow skills, and 13 quality-gate hooks. All packaged as installable bundles for Claude Code. We're at v1.0.19 with 11 bundles live, and new ones shipping weekly.
View on GitHub arrow_forwardWorkflow is the constant. Model is the variable.
Every Arth product lives on one of three layers. Together, they give you a chassis that accepts any AI engine you're using today and whatever ships next quarter.
Routing Layer
Arth Intelligence
Scores every session across 4 metrics. Sends routine work to Haiku-class models (1x cost) and saves Opus-class (60x cost) for the strategic stuff. Recommendations only fire when the data supports them, with Confidence Tiers at 30%, 50%, 70%, and 90%.
Portability Layer
Clade Translation
A translation layer that lets the same workflow run across 5 AI tool ecosystems: Claude Code, Cursor, Codex, Kiro, and Gemini. Change the model, keep the workflow.
Execution Layer
Toolkit + Marketplace
Pre-built agent bundles that install directly into Claude Code. Methodology-embedded workflows for planning, implementation, QA, and ops.
Intelligence infrastructure
11 Agent Bundles
Forge, Scalpel, Spark, Sentinel, Prism, Shield, Canvas, Compass, Counsel, Cruise, and Prime. Each bundle is a team of specialists working together on your code.
4-Metric Scoring
Quality, Cost, Speed, and Gate Pass. Every score comes from real session data on Claude Code and Codex CLI. No synthetic benchmarks.
RoundPass.AI
AI voice interview coaching with studio-grade audio and market-ready interview skills. Built using the same Arth toolkit that runs our consulting practice.
AI-Native Maturity Journey
Most teams are stuck at Level 1. Arth gives you a clear, measurable path to Level 4 — without rebuilding your entire workflow.
Experimenting
Individual tools. No shared context. High tool-switching overhead. Where most teams start.
Integrating
AI embedded in a few workflows. Teams have adopted 3–5 tools but governance is manual.
Orchestrating
Unified intelligence layer. Model routing. Quality scoring. Workflows survive model changes.
Compounding
AI is the operating system. Self-improving workflows. Competitive moat through intelligence infrastructure.
Arth gets you to Level 3 in 3 weeks
Most teams take 12–18 months to reach AI-Accelerated maturity on their own. Our structured engagement compresses that to a 3-week sprint — with measurable results from week one.
Engineering leaders on Arth
"We went from 12 different AI subscriptions with no visibility to a single platform. Our engineering velocity went up 34% in the first month."
"Arth gave us the AI maturity framework we didn't know we needed. Three weeks from kickoff to our first deployed agent in production."
"The intelligence layer pays for itself. We're routing 80% of tasks to cheaper models without sacrificing output quality — that's real savings."
Make every model work harder for your team.
Think of us as the layer above your AI tools. AWS sits above servers, Stripe sits above banks. Arth sits above every model your team is already using.