We're a custom software and AI development agency. Our core services include AI development (custom assistants, chatbots, RAG-based knowledge bases, and LLM integration); SaaS and MVP development; mobile app development with React Native and native iOS/Android; voice AI solutions; custom software for enterprises; and supporting services like cloud infrastructure, DevOps, UI/UX design, and SEO. Most clients start with one core service and expand into others as their product grows.

Well, it depends a lot on scope, honestly. One AI feature or a scoped MVP costs far less than a full multi-tenant SaaS platform or enterprise-wide AI rollout with RAG and LLM integration. We’re not going to throw out a number here that may have nothing to do with your project. Tell us what you’re building on the free consultation call, and you’ll walk away with a real, itemized estimate, not a guess.

Most MVPs land in the 4- to 8-week range. Bigger builds, enterprise platforms, big SaaS products, and deep AI work usually take 3 to 6 months. Really depends on how many moving parts are involved. We'll give you a real number once we've actually looked at your project. Not before

Yes, and it's honestly one of our more common requests. We plug your current setup into OpenAI, Gemini, or Claude and build from there: chatbots, doc-based knowledge bases, workflow automation, or whatever fits your case. Rebuilding from scratch is rare. Most of the time, we're just adding to what you've already got.

Mostly React Native. One build, both platforms, keeps the cost down. Need something fully native instead? We'll build in Swift or Kotlin. Comes down to what the app actually needs to do.

Custom software is created for a single business, for internal use. Not for resale. SaaS is different: it is a multi-tenant platform built to be sold as a subscription to lots of customers at once, which means the architecture has to handle things that custom software doesn’t: user isolation, billing, and infrastructure that scales across everyone using it at the same time. We build both.” Which one you need generally depends on whether you are solving your own problem or building something to sell.

We do. AI receptionists that actually answer and take calls, voice agents for outbound calling and lead qualification, and call automation that books appointments directly into your calendar. Twilio does the telephony, Vapi does the voice orchestration, and ElevenLabs does the speech synthesis. The end result? It sounds like a human, not a phone tree.

For us, launch isn’t the finish line. As your product grows, we offer continuous maintenance, DevOps support, cloud management on AWS or GCP, and feature updates. Most clients don’t get a clean handoff and end up on some kind of support arrangement after launch anyway, mostly because that’s when the real feedback and feature requests start coming in.

React, Next.js, and Node cover most projects. NestJS or Express on the backend. Postgres, Mongo, or Supabase for data depends on the project. React Native or Flutter for mobile and native when it's actually needed. AWS for hosting. On the AI side: OpenAI, Claude, Gemini, LangChain, and Pinecone. We use what fits the job. Not whatever's new.

Just click “Get a Free Consultation," give us a few details, and someone from our team will get back to you within 24 hours. No pressure, no strings. The call is mostly us trying to understand what you're actually trying to build so we can tell you honestly what it’ll take.

RAG is what enables an AI to retrieve answers from your real data, your docs, your product info, and your internal wiki, rather than just what it was trained on generally. If you want an AI assistant that gives accurate, specific answers instead of vague, generic ones, RAG is usually the answer. It's what we use for most of our chatbot and knowledge base projects.

A chatbot can live on your website or app and talk with people through text. A voice agent is a software program that can handle actual phone calls, answering, qualifying leads, and booking appointments, using speech recognition and voice synthesis to sound natural. Eventually, a lot of clients end up wanting both. Website chatbot, phone voice agent.

Both, to be honest. Startups tend to start smaller, with one AI feature, an MVP-stage integration, or something to test the idea before going bigger. Enterprises require AI in existing systems. We build the project to fit your stage and budget, not the other way around.

Yes. It answers calls, handles the common questions, books appointments right into your calendar, and runs on Twilio, Vapi, and ElevenLabs behind the scenes. It's part of our voice AI work and is typically one of the faster projects to pay for itself, as it is directly recovering revenue you were losing to missed calls.