Ranazonai
AI-first software studio

Automate everything.
Ship production AI
in weeks.

We build AI agents, automations, and full-stack products for teams that actually need to ship. Claude + GPT + your stack — wired into workflows that move the needle.

11+
production launches
8
capability areas
4–6 wks
typical MVP timeline
studio.ranazonai.dev
Claude Opus 4.7
Building agentLegal-Tech
LexAIBuild a legal drafting agent with RTI + notice templates
> ranazonai deploy lexai
Agent actions
·load_rti_templates47 templates indexed
·attach_payment_railsRazorpay wired
·deploy_agentlexai.client.com · live
Deployment
Waiting for tool results…
Ranazonai deploys industry-specific AI agents
Claude Opus 4.7GPT-5Next.jsLaravelPythonNodePostgresSupabasePineconeLangGraphn8nStripeRazorpayWhatsApp APITwilioDeepgramClaude Opus 4.7GPT-5Next.jsLaravelPythonNodePostgresSupabasePineconeLangGraphn8nStripeRazorpayWhatsApp APITwilioDeepgram
Capabilities

Eight things we build. Really well.

Not a generalist agency. A specialist studio with deep muscle in AI agents, document AI, conversational systems, RAG, automations, and full-stack delivery.

Flagship

AI Agents & Copilots

Autonomous agents with tool use

Multi-step agents that plan, call tools, and complete real work — not just chat. Claude & GPT with custom tool surfaces, guardrails, and observability.

  • Tool-use with approval gates
  • Long-running with memory
  • Streaming UIs with handoff
Core

Document AI

Drafting, extraction, intake

Generate, extract, and understand structured documents — RTI drafts, legal notices, contracts, financial statements, intake forms.

  • RAG over document sets
  • OCR + layout parsing
  • Template-aware drafting
Core

Conversational AI

Chat, voice & WhatsApp

Production chat, voice, and WhatsApp assistants with real business logic, CRM integration, and honest escalation paths.

  • Claude/GPT-streaming web chat
  • Voice agents (Deepgram, ElevenLabs)
  • WhatsApp Business API bots
Core

RAG & Knowledge Systems

Search that actually works

Hybrid semantic + keyword search across your case files, listings, policies, and knowledge bases. With citations, not hallucinations.

  • Vector DB + reranking
  • Source-backed answers
  • Permission-aware retrieval
Core

Automation Pipelines

Replace spreadsheets & copy-paste

End-to-end workflows wired across CRMs, email, docs, WhatsApp, and payments — using n8n, Make, Zapier, or custom Node/Python.

  • Lead routing & enrichment
  • Document intake → CRM
  • Filing & renewal reminders
Core

Full-Stack Product Builds

MVP to production SaaS

Complete products shipped in weeks: auth, billing, dashboards, roles, APIs. Next.js / Laravel / Supabase / Postgres / Stripe / Razorpay.

  • Production architecture, not demos
  • Payment + subscription flows
  • Admin & role-based access
Core

Data & Analytics

Dashboards that drive decisions

Pipelines, dashboards, and embeddings — from operational metrics to buyer-intent scoring. Metabase, Superset, or custom.

  • Warehouse + ETL
  • Live dashboards
  • Predictive scoring
Core

AI Marketing Engine

Content + SEO on autopilot

Programmatic SEO pages, content generation, landing-page experiments, and lead magnets — with humans in the loop where it counts.

  • Programmatic SEO at scale
  • Ad-ready landing variants
  • AI-assisted content ops
Industry Solutions

Four AI-era product templates. Your industry, tailored.

Not just generic services — opinionated product stacks we ship repeatedly into the industries we know deeply.

Proof

Recent launches.

11 production products shipped. Swipe or use arrows to explore.

All case studies →
FileMyRTI
Legal-Tech

FileMyRTI

India's leading RTI filing platform

50,000+ RTI applications filed
LaravelMySQLRazorpayWhatsApp API
HomeHNI
Real Estate

HomeHNI

Luxury property platform

High-intent leads routed to agents in real time
Next.jsSupabaseWhatsApp API
NV Law Associates
Legal-Tech

NV Law Associates

Case intake + client portal

Structured intake replaces scattered email threads
Next.jsPrismaPostgres
Musab Hashmi
Personal Brand

Musab Hashmi

Author + coach platform

Clean funnel from landing → booking
Next.jsStripe
Shree Ganesh Precast
Industrial

Shree Ganesh Precast

B2B precast concrete catalogue

Catalogue → inquiry form routed to sales
Next.js
Tamsa Integrated
B2B Services

Tamsa Integrated

Integrated services site

Multi-service architecture without diluting positioning
Next.js
Gudemtech Solutions
Tech Services

Gudemtech Solutions

IT services brand refresh

Clear services, clear CTAs
Next.js
Bhubharat
Real Estate

Bhubharat

Real estate marketing site

Lead capture tuned for paid traffic
Next.js
Azeem Reality
Real Estate

Azeem Reality

Broker website + inquiry flow

WhatsApp-first lead capture
Next.js
Cement Ki Dukaan
B2B Marketplace

Cement Ki Dukaan

Cement marketplace

Commerce flow built for volatile commodity pricing
Next.js
Namaste Sarpanch
Civic Tech

Namaste Sarpanch

Civic engagement platform

Launched to public, picked up by local press
Next.js
How we ship

Weekly demos. No surprises.

A tight loop so you see real working software every seven days and can course-correct early.

  1. Day 0

    01Scope & success

    A 45-minute call to align on outcome, users, and measurable success.

  2. Week 1

    02Scaffold

    Rapid build with Claude + modern stack — architecture on day one, UI by week one.

  3. Weeks 2–6

    03Ship

    Weekly releases to production with QA, analytics, and docs. No end-of-project surprises.

  4. Week 6+

    04Scale

    Hardening, automation, growth loops, and retained engineering support.

From our clients

Real software, real outcomes.

5.0· 11 projects
Ranazonai rebuilt our RTI drafting flow end-to-end. Draft times dropped dramatically, and we crossed 50,000 RTIs filed on the new platform.
SN
Syed N.
Founder · FileMyRTI
They understood real-estate buyer intent better than our previous agency. Our WhatsApp lead flow actually converts now.
PK
Pranoye K.
Director · HomeHNI
Shipped our client portal in under six weeks. Intake calls dropped and our associates now spend time on cases, not admin.
NV
Partner
Managing Partner · NV Law Associates
FAQ

Common questions.

Grouped by theme. Click any to expand.

AI & Technology
Which AI models do you actually use — Claude, GPT, open-source?

All of them, picked per task. We default to Claude Opus 4.7 for agentic reasoning and long-context work (1M-token window), GPT-5 where OpenAI's toolchain wins, and open-source models (Llama, Qwen) when privacy, cost, or edge deployment demand it. You don't pick the model — we do, and document why.

How do you stop AI from hallucinating on real customer data?

Retrieval-augmented generation (RAG) over your own sources, with citation requirements baked in. We use hybrid search (vector + keyword + reranking), strict grounding prompts, and honest 'I don't know' fallbacks. For regulated use cases we add a second-model verifier before anything reaches the user.

Can you build real AI agents — with tool use, not just chatbots?

Yes. Multi-step agents with custom tools, approval gates, memory, and streaming UIs — Claude's native tool-use API, MCP servers, or LangGraph depending on the shape. Agents call your internal APIs, databases, and SaaS tools. We also build guardrails: rate limits, output validation, human-in-the-loop for irreversible actions.

RAG vs fine-tuning vs agents — what do we actually need?

For most business problems: RAG > fine-tuning. RAG is faster, cheaper, updatable in minutes, and citable. Fine-tuning only wins for narrow style/format tasks where you have 10K+ high-quality examples. Agents come on top, when the task needs tool use or multi-step reasoning. We tell you honestly in the discovery call.

Can you build voice agents and multimodal (vision, document) AI?

Yes. Voice with Deepgram + ElevenLabs or Retell, vision via Claude/GPT-4o, document understanding with layout-aware parsers (OCR + LLM post-processing). We've shipped WhatsApp voice bots, vision-based intake for ID documents, and realtime screen-share copilots.

How do you handle AI latency and cost at scale?

Prompt caching (90% cost cut on shared context), streaming everywhere, task-right-sized models (Haiku for classification, Opus for reasoning), batch APIs for async work, and honest measurement. We ship a cost dashboard so you see what each feature actually costs.

Data & Trust
Is my data used to train AI models?

No. We use Anthropic and OpenAI's enterprise endpoints which don't retain or train on your data. For stricter requirements we run open-source models on your own infrastructure. Full data-handling specifics are in every proposal.

Who owns the code and the AI prompts?

You do. On delivery and full payment, you get clean repos, documentation, prompt library, and deployment runbooks. No lock-in, no per-seat licensing on what we build for you.

Engagement & Delivery
How fast can you ship an MVP?

1-week sprint for a feature or landing page. 4–6 weeks for a full MVP with auth, payments, and core flows. Weekly demos throughout — you see progress every seven days, not at the end.

Do you work with legacy stacks like Tally, Zoho, or on-prem databases?

Yes. We integrate with existing systems and modernise gradually. No rip-and-replace unless you want one. We've shipped AI layers on top of Laravel monoliths, Tally data exports, legacy MySQL, and SAP.

Still curious?
Our Claude-powered assistant (bottom-right) can answer questions 24/7.
Or book a call →
11+ launches · 5.0 rating · 4–6 wk MVPs

Ready to build something real?

Share what you're thinking. We'll come back with a plan — not a pitch deck.