VixioX is an AI-native engineering studio. We design, build and ship intelligent systems — Cloud LLMs, AWS Bedrock serverless RAG pipelines, multi-agent workflows, and production-grade backends — built cloud AI-native from the ground up.
7+ clients trust VixioX
Trusted by engineering teams at forward-thinking companies
We architect and ship high-integrity serverless systems that utilize the absolute frontier of cloud artificial intelligence, running fast, safe, and scale-ready.
Autonomous AI agents that collaborate to execute complex business workflows. Built using advanced orchestration frameworks like LangGraph with real-time human-in-the-loop triggers.
Integrate top-tier hosted LLM APIs (AWS Bedrock, OpenAI, Anthropic, Google Gemini) for zero-fixed server maintenance, sub-second latency, and infinite scale.
High-precision vector retrieval pipelines using AWS Bedrock Knowledge Bases and serverless vector stores. Features automated S3 PDF ingestion, smart chunking, and instant citations.
Production-grade serverless engines using AWS Lambda and API Gateway designed to support concurrent users and instant LLM streaming responses.
Most agencies bolt AI on as an afterthought. At VixioX, we build Cloud LLMs, AWS Bedrock serverless RAG pipelines, and vector memory into the architecture from day one — zero idle server costs, full data privacy, and 100% ownership for you.
"The gap between agencies that use AI tools and agencies that build serverless AI systems is the same gap as between a driver and an engineer."
AWS Bedrock, OpenAI & Claude APIs — zero server maintenance.
Bedrock Knowledge Base search over your S3 documents.
FastAPI & Lambda backends with JWT auth & RBAC.
React analytics with real-time AI insights.
Every product is built in-house by the VixioX team — Cloud AI-native serverless architecture from the ground up. EduPulse is our flagship, already in advanced development.
AI school analytics — detects struggling students, generates quizzes, creates intervention plans, and answers teacher queries via AWS Bedrock Serverless RAG. Built with AWS Lambda + S3.
Smart clinic management — AI scheduling, patient risk scoring, prescription summaries and automated WhatsApp follow-ups via Cloud AI.
AI recruitment — LLM resume parsing, candidate ranking, bias-free scoring and auto interview question generation via AWS Bedrock.
Retail analytics AI — inventory prediction, demand forecasting, customer segmentation and AI reorder recommendations.
AI legal assistant for SMEs — contract drafting, clause analysis, risk flagging and Indian law AWS Bedrock RAG queries.
Finance AI for SMBs — cash flow tracking, anomaly detection, plain-language P&L and 30-day runway forecast.
Real estate AI — property valuation, smart lead scoring, rental yield prediction and AI-generated descriptions.
Our AI-first methodology is purpose-built for serverless speed and intelligence from the first commit.
Map your requirements, users and data flows. We find where Cloud AI adds the most value — not where it sounds impressive. Usually done in 1–2 hours.
Design AWS Bedrock LLM integration, serverless RAG pipelines, S3 document storage and API Gateway structure before touching feature code.
Agile sprints with daily demos. Live on your AWS infrastructure within 48h of first sprint. You see it live before you commit to anything further.
Post-launch prompt engineering, model tuning and RAG refinement based on real usage data. Full source code and AWS infrastructure handoff.
Choose an engagement model built for speed, zero server overhead, and clear deliverables. No retainers, no surprise bills.
RAPID VALIDATION
FULL INTEGRATION
CONTINUOUS EVOLUTION
Every tool chosen for production-grade reliability, speed, zero fixed server cost, and serverless AI capability.
From early-stage startups to established businesses — here's what working with a truly AI-native cloud engineering team feels like.
We got a working AWS serverless AI analytics dashboard in under two weeks. The Bedrock RAG query feature alone saves our team an hour a day. Nothing else we evaluated comes close.
Other agencies quoted us 4 months. VixioX had a live AWS Lambda prototype in 48 hours. Their zero-fixed-cost serverless setup saved us thousands in server bills.
Their AI architecture approach is completely different. They don't plug basic ChatGPT wrappers into a form — they build AWS serverless pipelines that actually understand our business logic from day one.
Most software agencies rent expensive 24/7 GPU servers. We build 100% serverless cloud architectures so you only pay per request.
Use hosted LLM APIs (AWS Bedrock, OpenAI, Claude) integrated with AWS Lambda. When no users are active, your bill is ₹0 — no wasted money on idle servers.
Our RAG pipelines with AWS Bedrock Knowledge Bases give your AI products semantic memory over your S3 documents. Instead of a generic chatbot, you get a system that can answer real questions from your own data.
We build multi-agent systems: one agent plans the task, another executes it, a third verifies the output. AI that can draft a report, check its own logic, and flag what it's uncertain about.
Every line of code, every AWS template, every database belongs to you. Subdomains under your brand. Source code delivered. No vendor lock-in. You own a defensible AI product — not a subscription.
Data privacy is not an afterthought. VixioX architects AI platforms with enterprise-grade safety structures inside your AWS cloud account — your proprietary intelligence remains yours.
Deploy serverless cloud architectures inside your AWS VPC with KMS encryption, IAM roles, and total data privacy.
Architected to comply with standard security controls, including encryption-at-rest, secure sockets, and role-based access logs.
We ship directly inside your private AWS cloud (AWS Lambda, S3, API Gateway, Bedrock) for seamless backend integration.
You own the code base, databases, and prompt scripts. Replicate, scale, or swap cloud hosting parameters without fees.
It means cloud AI APIs (AWS Bedrock, OpenAI) and serverless architectures (AWS Lambda, S3) are designed into the product before the first line of code is written — zero idle server maintenance and 100% pay-per-query pricing.
After discovery and architecture (day one), we start the first sprint immediately. Within 48 hours of sprint start, you get a live, working build on your subdomain. Not a mockup — a real, deployed AWS backend with functional AI.
Not at all. You need to understand your business problem and your users. We translate that into the right cloud AI architecture. Every sprint includes plain-language explanations and demos.
Projects typically start at ₹49,999 for a focused MVP and scale based on scope. We're transparent about pricing from the first call — no hidden fees, no retainers unless you want ongoing tuning.
You do — completely. Full source code handoff, all model configurations and database exports, deployed under your subdomain and brand. No dependency on us to keep the lights on.
Yes. We can embed as an AI engineering team alongside your developers, add AI capabilities to an existing product, or integrate with your current stack. Our FastAPI and AWS Lambda backends connect cleanly with React, Next.js, mobile apps, or any REST consumer.
Have a problem to solve or a product to ship? The VixioX team will design the right Cloud AI architecture and get it live fast.
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