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.
Not a generalist agency. A specialist studio with deep muscle in AI agents, document AI, conversational systems, RAG, automations, and full-stack delivery.
Multi-step agents that plan, call tools, and complete real work — not just chat. Claude & GPT with custom tool surfaces, guardrails, and observability.
Generate, extract, and understand structured documents — RTI drafts, legal notices, contracts, financial statements, intake forms.
Production chat, voice, and WhatsApp assistants with real business logic, CRM integration, and honest escalation paths.
Hybrid semantic + keyword search across your case files, listings, policies, and knowledge bases. With citations, not hallucinations.
End-to-end workflows wired across CRMs, email, docs, WhatsApp, and payments — using n8n, Make, Zapier, or custom Node/Python.
Complete products shipped in weeks: auth, billing, dashboards, roles, APIs. Next.js / Laravel / Supabase / Postgres / Stripe / Razorpay.
Pipelines, dashboards, and embeddings — from operational metrics to buyer-intent scoring. Metabase, Superset, or custom.
Programmatic SEO pages, content generation, landing-page experiments, and lead magnets — with humans in the loop where it counts.
Not just generic services — opinionated product stacks we ship repeatedly into the industries we know deeply.
Case intake, RTI drafting, document automation, client portals.
Listings, lead capture, WhatsApp routing, agent dashboards.
Client portals, filing workflows, secure document intake.
Pre-qualification, document collection, pipeline dashboards.
Most teams use AI as a single chat window. We run Claude as a small crew with separate jobs, so nothing we ship is checked only by the thing that built it.
Claude reads the raw material you already have (WhatsApp threads, PDFs, spreadsheets, call notes) and turns it into a written scope and a list of acceptance checks before any code exists.
Scope is agreed in days, so the 4 to 6 week MVP timeline holds.
A person stays in the loop. Claude does the heavy lifting; anything irreversible, such as sending a message, moving money or deleting data, waits for human approval.
Plan, build and review run side by side, which is how 4 to 6 week MVPs and weekly demos stay realistic.
Every change is attacked by an independent reviewer, then confirmed on the live page.
Sends, payments and deletions wait for a person to approve. You get the written rules and the full change history, not a black box.
A tight loop so you see real working software every seven days and can course-correct early.
A 45-minute call to align on outcome, users, and measurable success.
Rapid build with Claude + modern stack — architecture on day one, UI by week one.
Weekly releases to production with QA, analytics, and docs. No end-of-project surprises.
Hardening, automation, growth loops, and retained engineering support.
“Ranazonai rebuilt our RTI drafting flow end-to-end. Draft times dropped dramatically, and we crossed 50,000 RTIs filed on the new platform.”
“They understood real-estate buyer intent better than our previous agency. Our WhatsApp lead flow actually converts now.”
“Shipped our client portal in under six weeks. Intake calls dropped and our associates now spend time on cases, not admin.”
Grouped by theme. Click any to expand.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Share what you're thinking. We'll come back with a plan — not a pitch deck.
