01
Custom IT Solutions
Web apps, internal tools, and platforms built around your exact workflow and engineered to scale with the business.
React · Node.js · Python · PostgreSQL
Custom software & AI engineering studio · Hyderabad
Custom software and AI agents, built to run in production.
KrazzyCreations designs, builds, and operates web products, AI agents, and MCP integrations for founders and technology teams. One senior team from the first architecture decision to the production deploy, and the months after it.
12+ yearsProduction engineering across AdTech, payments, and cloud
100% ownershipYou own the source code, infrastructure, and accounts
24-hour replyA technical point of view on your brief, not a sales pitch
Services
What we build
Eight areas of practice covering the full lifecycle of a product: design, build, launch, and the operations that keep it running.
02
AI Agents & Automation
Agents that own a workflow inside your stack: tool use, approvals, logging, and cost tracking designed in from day one.
Claude · OpenAI · LangGraph · n8n
03
MCP Server Development
Model Context Protocol servers that expose your tools, data, and APIs to any AI model, with auth and rate limits handled.
MCP · TypeScript · Python SDKs
04
Full-Stack Product Development
Zero to launch. Architecture, build, testing, and deployment, owned end to end by one senior team.
Next.js · React Native · REST / GraphQL
05
Cloud & DevOps
AWS infrastructure, CI/CD pipelines, containers, and monitoring for releases you can trust on a Friday afternoon.
AWS · Docker · Kubernetes · Terraform
06
Payment Gateway Integration
Secure, PCI-aware payment flows with webhooks, retries, reconciliation, and the edge cases that usually break at scale.
Razorpay · Stripe · PayPal
07
Database Architecture
Schema design, query optimization, and caching strategies tuned for high-traffic, high-stakes workloads.
PostgreSQL · MySQL · Redis · MongoDB
08
Team Augmentation & Consulting
Senior engineering capacity and technical leadership, embedded with your team for a sprint or a year.
Fractional CTO · Architecture reviews
Process
How a project runs
Clear scope, working software every two weeks, and no surprises on timeline or budget. You talk directly to the engineers doing the work.
Scope
A working session on the problem, the users, and the constraints. You get a written plan, stack recommendation, timeline, and fixed estimate.
Architecture
System design, data model, integration map, and the production concerns: auth, observability, cost. Agreed before the first feature is built.
Build
Two-week cycles with a demo of working software at the end of each. Direct access to the engineers. Scope changes handled in the open.
Ship & operate
Production deploy with monitoring and runbooks, then 30 days of support included. Stay on retainer or take a clean, documented handoff.
Why KrazzyCreations
Most software dies between the demo and the deploy. Ours doesn't.
Senior engineers only
No junior churn, no agency layers. The people you meet on the first call are the people who write the code and answer for it.
Production is a first-sprint concern
Testing, monitoring, auth, guardrails, and cost tracking are designed in from week one, not bolted on before launch.
AI that does real work
Agents and MCP servers that own a workflow inside your stack, with human approval where it matters and logs for every tool call.
Built into every engagement
Mutual NDA before kickoff
100% source code ownership
Bi-weekly demos of working software
Documented, tested handoff
30-day post-launch support
Engagement
Three ways to work with us
Pick the model that matches your stage. Most clients start with a scoped build and move to retained support once they're live.
Build
Scoped project
A defined product, feature, agent, or MCP server delivered on a fixed scope and timeline. The most common way to start.
- Best for
- New products, MVPs, AI pilots
- Typical length
- 4–12 weeks
Embed
Dedicated engineer
A senior engineer or small squad working inside your team, your tools, and your sprint cadence. Month to month.
- Best for
- Teams with a backlog to clear
- Typical length
- 3+ months
Operate
Retained support
Monitoring, fixes, dependency updates, and a monthly improvement budget for software already in production.
- Best for
- Anything we have shipped, or inherited
- Typical length
- Ongoing
Languages & frameworks
TypeScript · Node.js · Python · React · Next.js · React Native
AI & agents
Claude · OpenAI · LangGraph · MCP · pgvector · n8n
Cloud & data
AWS · Docker · Kubernetes · Terraform · PostgreSQL · Redis
Payments & integrations
Razorpay · Stripe · Slack · HubSpot · Google Workspace
About
A small studio with senior depth.
KrazzyCreations is a custom software studio based in Hyderabad, working with founders and teams worldwide. We design, build, and launch products, and the AI systems that power them.
We also build our own. Socify ↗ is our in-house product, which keeps us honest about what it takes to run software in production, not just ship it.
Vinay Amaraneni
Founder · Lead Architect
12+ years building and leading production software, from AdTech platforms and payment systems to cloud infrastructure, AI tooling, and MCP servers. Vinay leads architecture on every engagement.
FAQ
Clear answers before the first call.
Anything not covered here, ask by email. You'll get a reply from an engineer within one business day.
How quickly can we start, and how long does a typical project take?
We reply within one business day and can usually begin scoping within a week. A focused MVP, agent, or MCP server typically ships in 4–12 weeks. You get a written timeline in week one and a progress report against it every two weeks.
Who owns the code and the infrastructure?
You do, from day one. Repositories, cloud accounts, domains, and API keys sit in your name. Every engagement starts with a mutual NDA and ends with documented, tested code and a handoff your next engineer can pick up.
What is the difference between an AI agent and a chatbot?
A chatbot answers questions. An agent completes a task: it plans, calls tools, checks results, and asks a human when it should. We build agents that own a workflow end to end, with permission boundaries and a log of every action.
Why would we need an MCP server?
MCP is the open standard that lets AI models such as Claude use your tools and data safely. One MCP server makes your systems available to any compatible assistant, agent, or coding tool, instead of building a separate integration for each.
How do you price work?
Scoped projects are fixed price against an agreed scope. Embedded engineers and retained support are billed monthly. Either way the estimate comes with the plan, before any commitment, and changes are agreed in writing.
Do you work with teams outside India?
Yes. Most of our clients are in the US, UK, and EU. We work from Hyderabad with overlapping hours for both, and all communication, documentation, and demos are in English.
Contact
Tell us what you're building.
Send the problem, the timeline, and anything you already have. Within 24 hours you'll get how we'd approach it, what it would take, and an honest view on whether we're the right fit.
Start the conversation
Emailsupport@krazzycreations.com
Phone / WhatsApp+91 80193 36904
LinkedInin/vinayamaraneni ↗
LocationHyderabad, India · IST, overlapping US & EU hours