Pre-seed · Direction Feedback
ARTH
The model changes. Your workflow doesn't.
March 2026
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Confidential — Arth AI 2026
The Team
Why Us. Why Now.
Muddassar Shaikh
Co-Founder & CEO
20 years in consumer product development, dev tools, infrastructure, and AI.
Built the toolkit — Designed and shipped the entire agentic workflow engine, translator, and analytics platform.
Lives the problem daily — Switching between models, managing costs, adapting workflows — firsthand pain.
Prashanth Ganapathy
Co-Founder & CTO
20 years in solutions engineering, infrastructure, dev tools, ML and AI.
Used it in production — Built PrepMe, a full-stack voice AI SaaS, proving the workflow handles real-world complexity.
Confidential — Arth AI 2026
The Problem
Models Are Ephemeral.
Companies Are Building on Quicksand.
Every company is racing to adopt AI. But the model that's great today gets superseded in months.
⚠
Model Lock-in
Built your workflow around GPT-4? Claude is now better for your use case. Rewrite everything.
◉
Cost Blindness
Premium models cost 60x more than efficient ones. Most teams route everything through the expensive tier.
◆
Adoption Paralysis
"Which model do we bet on?" Decision fatigue means 90% of AI-aware companies still haven't operationalized.
"You don't build your business on a specific engine — you build it on a chassis that accepts any engine."
Confidential — Arth AI 2026
Why Now
The Lock-in Window
Is Closing
Companies are choosing their AI stack right now. Once workflows are hardcoded to one model, switching cost becomes enormous. Arth prevents lock-in before it happens.
- Model commoditization is accelerating — no single model will dominate
- The awareness–adoption gap is widening — 90%+ aware, fewer than 20% operationalized
- Cost disparity is massive — 60x between model tiers, most companies overspending
Confidential — Arth AI 2026
The Solution
A Durable Toolkit
Above the Models
- Save 30–40% on AI spend by routing each task to the cheapest model that meets your quality bar.
- Runs on any model ecosystem. When a better model launches, switch with one command.
- Real-world benchmarks tell you which model to use, when, and why — not synthetic scores, actual task data.
Intelligence
Benchmarks · Routing · Cost analytics
Translation
Write once → runs on any model ecosystem
Workflow Engine
Delegates tasks to the right model tier
Anthropic
•
OpenAI
•
Google
•
Meta
•
Any model
Confidential — Arth AI 2026
Proof Point
We Didn't Just Build It.
We Used It.
PrepMe Interviews
AI voice interview coaching — real-time mock interviews with company-specific questions and detailed feedback. Full-stack SaaS with voice agent, API, billing, and analytics.
Next.js
FastAPI
LiveKit
GPT-4o
Built using Arth's workflow:
- Planning agents scoped and designed features
- Implementation agents built frontend + backend in parallel
- Quality agents validated every change before merge
< 800ms
Voice latency — natural conversation
Full Stack
Voice agent + API + Frontend + Billing
Production
Deployed and serving real users
Confidential — Arth AI 2026
Model Portability
Switch Without
Rewriting
Today your team runs on Claude — great.
Next quarter a model is 50% cheaper.
One command. Your workflow switches.
Zero rewrite.
We started on Claude. We're actively translating to other ecosystems. The translator is the product.
↓
Claude Code
Codex CLI
Cursor
Gemini
Any new tool...
Confidential — Arth AI 2026
Target Market
Who We Serve First
Companies that know AI matters but can't navigate the landscape alone.
◇
SMEs & Startups
10–200 employees. High AI awareness, low adoption. Need guidance on which tools to use and how to integrate them.
◆
Growth-Stage Companies
Already using AI point solutions. Struggling with tool sprawl, rising costs, and vendor lock-in across departments.
♦
AI-Curious Enterprises
Know they need AI but paralyzed by the pace of change. Want a partner, not just another SaaS subscription.
Confidential — Arth AI 2026
Business Model
How We Make Money
Cost intelligence is the wedge. Platform access is the business.
Wedge
Cost Intelligence
Free analytics layer shows companies what they're spending across AI tools, where they're overpaying, and which models actually perform for their use cases.
Free → Paid conversion
Core
Workflow Platform
Subscription access to the agentic workflow engine, translation layer, and cost-optimized task routing across any foundational model.
Per-seat SaaS pricing
Expand
Adoption Services
Hands-on enablement helping companies integrate AI workflows into their operations. Training, custom agent configuration, and ongoing optimization.
Services + usage-based
Confidential — Arth AI 2026
Competitive Landscape
Where We Fit
Others optimize API calls. We optimize how companies work with AI.
LiteLLM / Portkey
API routing & proxy layer
Helicone / Langfuse
Observability & logging
Cloud Providers
Bedrock, Vertex — platform lock-in
AI Coding Tools
Cursor, Codex, Kiro — single-model
Arth's Position
- Full-stack: workflows + analytics + portability in one layer
- Model-agnostic by design — not locked to any single provider
- Cost-tier routing optimizes spend, not just connectivity
- Translation layer turns any workflow portable across ecosystems
Confidential — Arth AI 2026
Traction & Validation
Where We Are Today
Pre-seed. Alpha stage. Built by founders, validated internally.
What We've Built
- Agentic workflow engine — production-ready
- Translation layer — multi-ecosystem support
- Analytics platform — cost & performance insights
- PrepMe Interviews — live SaaS built on the stack
- External customer validation — not yet started
What We're Seeking
- Direction Feedback — Is the intelligence layer thesis compelling? Where are the blind spots?
- Market Validation — Which customer segment should we pursue first?
- Warm Introductions — CTOs or engineering leads wrestling with AI tool sprawl and rising costs.
Confidential — Arth AI 2026
Vision
The Durable Layer
Models will come and go. The intelligence layer above them is what lasts.
Now
Workflow Engine
Agentic workflows that route tasks to the right model at the right cost tier. Translation layer for cross-ecosystem portability.
Next
Intelligence Platform
Analytics dashboard with real-time cost optimization, model benchmarks, and usage recommendations for every team.
Future
AI Operating Layer
The default layer companies use to adopt, manage, and optimize AI — regardless of which models power it.
Confidential — Arth AI 2026
Arth AI
The model changes.
Your workflow doesn't.
अथ — Meaning. Clarity in every AI decision.
Let's Talk →
Next: 30-min follow-up in 2 weeks
Confidential — Arth AI 2026