Know the cloud bill
before you build

Describe your app in plain English. CloudCost AI identifies the services, projects real costs at scale, and delivers a signed report for stakeholder approval.

Monthly Cost
at 10K users
$0+294% at 100K
1K10K100K
Service Cost Mixby category
AI / LLM API42%
Hosting22%
Database16%
Storage10%
Payments10%
Services Identified
by layer
across 8 service categories
AIPaymentsHostingData
0
Optimization Savings
monthly potential
$0-49% of bill
Run 1Run 3Run 5Run 7
DoctavianPrize track
NutrientPrize track
Google Gemini
Xano
SerpApi
Next.js
DoctavianPrize track
NutrientPrize track
Google Gemini
Xano
SerpApi
Next.js

Control every change in production.

01
02
03
AI Architecture Analysis

Gemini reasons over your app description, identifies every cloud service — compute, database, AI, payments, auth — and maps each to a real provider with a usage estimate per user.

Try the demo
Rollout duration
5%for6hours
25%for12hours
Cost Projection at Scale

Real pricing data from SerpApi powers projections from 1K to 100K users. See which service dominates your bill and where the cost curve bends before you commit to an architecture.

Try the demo
Online evals
toxicitypass
groundednesspass
pii-leakblocked
Signed Cost Reports

Generate a professional PDF cost report and send it for legally binding e-signature via Doctavian. Stakeholders review, sign, and approve — the document trail is audit-ready.

Try the demo
Model Distributionlast 7d
GPT-5.562%
Claude Sonnet 4.645%
Claude Opus 4.710%
The problem

Cloud cost surprises kill more projects than bad code

AI-Powered Service Identification

Gemini doesn't just list services — it reasons about your app's data flow, user interactions, and scaling characteristics to identify what you actually need and why.

Try the analysis
Natural language input — no cloud architecture knowledge required
Services mapped to specific providers (AWS, GCP, Azure, Stripe, etc.)
Per-user usage estimates grounded in real pricing data from SerpApi
Complexity assessment and dominant cost driver identification
PDF report generated locally with pdfkit, uploaded to Doctavian storage
Signature envelope created with positioned fields and sent via API
Signer receives email from Doctavian, reviews and signs in their web UI
OAuth refresh-token flow keeps the integration alive without manual token renewal

Doctavian E-Signature Integration

Cost reports are generated as PDFs and routed through Doctavian's signature envelope workflow — the same infrastructure used by enterprises for legally binding document signing.

See the signature flow
Demo

Watch CloudCost AI analyze an app and send a signed cost report

2:30

How the pieces fit together

  1. User describes app
  2. Xano → Gemini + SerpApi
  3. Cost engine projects pricing
  4. Doctavian signs the report

Xano Backend

Xano receives the analysis request, calls the Next.js API (SerpApi + Gemini), stores the result in its database, and returns the structured analysis to the frontend.

Xano Docs

Nutrient Document Engine

Nutrient's processor extracts structured data from the generated PDF report — field confidence scores, audit trail, and metadata for downstream processing.

Nutrient Docs

Run it yourself.

Clone the repo and it runs locally. Environment variables and what degrades without each one are listed in the README.

git clone https://github.com/druxamb/cloudcost-ai && npm ci && npm run dev

5 services identified with live SerpApi pricing

Output

Gemini identified Vercel, AWS S3, Gemini Pro, Supabase, and Stripe for a document-chat SaaS app — each with a provider, category, per-user usage estimate, and role. SerpApi verified live pricing for each service.

Measured on this build

Every figure above was measured on this build. This project has no users yet, so there are no testimonials here.

Stop guessing. Start planning.
Stop guessing. Start planning.
Stop guessing. Start planning.
Stop guessing. Start planning.
Stop guessing. Start planning.
Stop guessing. Start planning.