Vedaswa AI Labs Applied Systems Studio
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AWS-Native Applied AI & Micro-SaaS Studio

Build, automate & orchestrate with intelligent cloud agents

Vedaswa AI Labs builds cloud-native, AWS-first AI products. We engineer zero-friction micro-SaaS engines that convert multi-format operational telemetry and enterprise documents into autonomous business intelligence.

Explore Live Products Our Philosophy

Engineered Across Leading Enterprise Cloud & AI Ecosystems

Amazon Web Services
QuickBill UPI Engine
Amazon Bedrock
AWS Amplify Edge
AWS Lambda Microservices
AWS RDS PostgreSQL
Amazon Textract
Cloudflare Edge
Amazon Web Services
QuickBill UPI Engine
Amazon Bedrock
AWS Amplify Edge
AWS Lambda Microservices
AWS RDS PostgreSQL
Amazon Textract
Cloudflare Edge
Engineering Philosophy

High Velocity Prototyping. Enterprise-Grade Cloud Resilience.

We bridge the gap between rapid generative AI experimentation and production cloud reality. By pairing AI-accelerated workflows with decoupled AWS infrastructure, we compress product cycles from quarters to weeks—without taking on architectural debt.

01

Rapid AI Ideation & Prototyping

Harnessing multimodal foundation models and AI code engines to build, validate, and iterate user-facing micro-SaaS workflows in record time.

Concept to Prototype: < 7 Days
02

Zero-Idle Cloud Native Mesh

Every application is architected natively on AWS serverless services—Lambda, API Gateway, and DynamoDB. Zero baseline idle cost with near-instant scalability.

Decoupled & Event-Driven
03

Well-Architected by Default

Security-first foundation model access through Amazon Bedrock, automated CI/CD pipelines via Amplify, and end-to-end edge protection powered by Cloudflare.

Security & Compliance Built-In
Engineered Deliverables

Products & Autonomous Engines

01
Live Product

QuickBill

Instant UPI Invoicing Micro-SaaS

Offline-first billing engine for solo merchants. Generates client-side NPCI-compliant dynamic UPI QR codes and standard PDF receipts in <10 seconds without sign-up friction.

Launch QuickBill Web App →
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02
Compute Engine

Clean Energy & Solar Analytics

Generation & Yield Prediction

Algorithmic solar ROI calculators, net-metering validation, and solar generation forecasting modules targeted at distributed clean energy operators.

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03
Event Mesh

Autonomous Workflow Agents

Event-Driven Automation

Cloud-native micro-services that listen to asynchronous webhooks, reconcile payment records, and dispatch multi-channel operational updates.

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Engine 01 // Solo Commerce Live Production MVP

QuickBill — Frictionless UPI Invoicing Architecture

↑ Back to Grid

01 Business Requirement

Independent retail operators, pop-up stores, and micro-entrepreneurs operate in high-velocity mobile transaction environments. They require zero-friction customer billing without mandatory subscription paywalls, tedious software installations, or proprietary POS terminal hardware.

02 Problem Solved

  • • Payment Lag: Generates dynamic, amount-embedded UPI QR codes in <10 seconds to eliminate customer payment typing errors.
  • • Hardware Lock-in: Replaces thermal slip printers with client-side canvas rasterization for direct WhatsApp/PDF dispatch.
  • • Connectivity Loss: Maintains continuous checkout capabilities through offline browser-buffered ledger storage.

03 AWS & AI Architecture

  • • Serverless Backend: AWS Lambda & Amazon API Gateway for high-concurrency ledger persistence.
  • • NoSQL Storage: Amazon DynamoDB for millisecond-latency merchant catalog and sales sync.
  • • AI Integration: Amazon Bedrock (Claude 3.5 Sonnet) & Amazon Textract for instant receipt optical recognition, expense auto-categorization, and automated daily sales insights.
Engine 02 // Compute Engine Algorithmic Modeling

Clean Energy & Solar Analytics — Yield Engine

↑ Back to Grid

01 Business Requirement

Commercial rooftop solar developers, installers, and renewable plant operators require precise, defensible mathematical forecasts for solar irradiance yields, CAPEX payback horizons, and multi-year degradation models to justify upfront capital deployment.

02 Problem Solved

  • • Manual Spreadsheet Fatigue: Replaces error-prone manual Excel modeling with automated computational yield algorithms.
  • • Regulatory Discrepancies: Programmatically parses state-specific DISCOM net-metering slabs and tiered export tariffs.
  • • Lengthy Proposal Turnarounds: Generates instant technical validation reports for prospective rooftop clients.

03 AWS & AI Architecture

  • • Compute Runners: Containerized FastAPI microservices deployed on AWS Lambda & Amazon ECS Fargate.
  • • Telemetry Lake: Amazon S3 for historical solar irradiance data, time-series cache, and generated PDF reports.
  • • AI Integration: Amazon SageMaker predictive regression models to forecast seasonal irradiance drift, shading attenuation, and panel degradation curves over 25-year spans.
Engine 03 // Event Mesh Distributed Micro-Services

Autonomous Workflow Agents — Event-Driven Mesh

↑ Back to Grid

01 Business Requirement

Modern software ecosystems run across dozens of fragmented SaaS APIs, webhooks, and payment platforms. Teams require self-healing automation layers that ingest unpredictable burst volumes, eliminate silent data loss, and reconcile records without human overhead.

02 Problem Solved

  • • Monolithic Fragility: Eliminates API timeouts and dropped webhooks via asynchronous queue buffers.
  • • Manual Reconciliation: Automates real-time ledger matching between payment webhooks and database states.
  • • Expensive Idle Compute: Completely eliminates idle server bills through on-demand, event-triggered functions.

03 AWS & AI Architecture

  • • Event Ingestion: Amazon EventBridge & Amazon SQS FIFO queues for guaranteed message processing.
  • • Execution & Telemetry: AWS Lambda decoupled runners with Amazon CloudWatch metrics and alarms.
  • • AI Integration: Amazon Bedrock Autonomous Agents to intelligently classify failed transaction payloads, autonomously diagnose schema mismatches, and perform self-healing retries.
Zero Idle Compute

Decoupled Serverless Cloud Mesh

Engineered for rapid scaling, resilience, and strict cost efficiency on AWS.

COMPUTE

AWS Lambda & Fargate

Containerized FastAPI microservices running Python 3.12

INTELLIGENCE

Amazon Bedrock

Claude 3.5 & Titan foundation models via private VPC endpoints

PERSISTENCE

DynamoDB & S3

Encrypted blob storage with sub-10ms operational queries

EDGE & CDN

Amplify & Cloudflare

Global DNS caching, automated SSL, and DDoS mitigation

Ready to partner or collaborate?

Vedaswa AI Labs is an independent software studio building proprietary AI products engineered exclusively on AWS cloud primitives. Reach out for technical partnerships or product inquiries.

contact@vedaswa.com