# Zappient > Zappient is an AI development agency. We design, build and run AI agents, automations and cloud systems for startups and growing companies. Senior engineers. Fixed prices. First working prototype in 14 days. Website: https://zappient.com Contact: hello@zappient.com Start a project: email hello@zappient.com Last updated: 2026-11-10 Tagline: Intelligence, zapped into action. ## Services - [AI Agent Development](https://zappient.com/services/ai-agents): An AI agent is software that uses a language model to plan and take actions toward a goal. It can call tools, read data and decide its next step. A chatbot replies to messages. An agent finishes tasks, like closing a support ticket or updating a deal in your CRM. - [RAG Development](https://zappient.com/services/rag-development): RAG stands for retrieval augmented generation. Before the AI answers, it searches your own content and pulls the most relevant passages. The model then writes an answer from those passages and shows where each fact came from. This keeps answers current and grounded in your data. - [Voice AI Agents](https://zappient.com/services/voice-ai): A voice AI agent is an AI that talks with callers in natural speech. It turns speech into text and uses a language model to decide what to do. Then it acts in your systems and replies in a natural voice. Good voice agents reply in under a second, so the call feels normal. - [AI Workflow Automation](https://zappient.com/services/workflow-automation): AI workflow automation connects your apps and lets AI handle the steps that used to need a person. Classic automation moves data from A to B. AI automation can also read documents, sort requests, write summaries and make simple decisions along the way. - [AI Product Development](https://zappient.com/services/ai-product-development): AI product development means building software where AI is a core part of what users get. That might be a copilot inside your app or a new AI first product. It might be features like smart search, summaries and suggestions. It needs product design, app engineering and AI engineering working as one. - [Cloud and LLMOps](https://zappient.com/services/cloud-llmops): LLMOps is the practice of running language model apps in production. It covers deployment, evaluation, monitoring, prompt and model versions, safety and cost control. It is to AI apps what DevOps is to regular software. ## Case studies - [AI Recruitment Agent Case Study: 4 Hours to 10 Minutes](https://zappient.com/case-studies/ai-recruitment-agent): We built a multi stage AI agent for a recruitment software company. It reads a candidate's LinkedIn profile and resume. It searches over 10 million jobs across four sources. Then it picks the best 15 matches and plans outreach to each hiring manager. Work that took a recruiter about 4 hours now takes under 10 minutes. ## Industries - [AI for SaaS](https://zappient.com/industries/saas): SaaS teams use AI in two places. Inside the product, to give users a copilot. And inside the company, to scale support and success without hiring at the same pace. We build both. - [AI for Ecommerce](https://zappient.com/industries/ecommerce): Ecommerce runs on speed. Shoppers want answers now and orders sorted fast. We build AI that helps shoppers choose, writes product content at scale and handles order questions without a queue. - [AI for Fintech](https://zappient.com/industries/fintech): Fintech teams move money, so mistakes cost more. We build AI that speeds up KYC, fraud review and support. A person stays in charge of every risky decision. Every step is logged. - [AI for Healthcare](https://zappient.com/industries/healthcare): Healthcare staff spend too much time on phones and paperwork. We build AI that books patients, drafts notes and answers routine questions. It runs in private setups designed around HIPAA and your own policies. - [AI for Legal](https://zappient.com/industries/legal): Legal work is full of reading. We build AI that reviews contracts against your playbook, finds answers across past matters and handles client intake. Lawyers stay in charge of the advice. - [AI for Real Estate](https://zappient.com/industries/real-estate): In real estate, the first agent to reply often wins the client. Our AI answers new leads in under a minute. It books viewings by phone and writes listings in your voice. Your agents spend their time on deals. ## Guides - [How to Choose an AI Development Agency](https://zappient.com/guides/how-to-choose-an-ai-agency): Pick an agency that proves results on your own data before you commit to a big build. Ask who writes the code, how they test quality and who owns the result. Fixed scopes and a short first phase keep your risk low. - [AI Agent vs Chatbot: What Is the Difference?](https://zappient.com/guides/ai-agent-vs-chatbot): A chatbot answers questions. An AI agent finishes tasks. An agent can plan steps, use your tools and take actions, like sending a refund or updating a CRM. A chatbot mostly replies with text. - [AI Agency vs In House Team vs Freelancer](https://zappient.com/guides/ai-agency-vs-in-house-team): Hire an agency when you want a proven result fast with low commitment. Hire a freelancer for a small, clear task. Build your own team when AI is core to your product and you need people on it every day. ## How Zappient works (The Zap Sprint). Full details: https://zappient.com/process 1. Discover (week 1): We map your workflows and find the use case with the best return. You get a clear plan and a fixed quote. 2. Prototype (weeks 2 and 3): We build a working version on your real data. You test it with your team. We tune it fast. 3. Ship (weeks 4 to 6): We harden it for production. Security, evals and monitoring go in. Then we launch together. 4. Scale (ongoing): We watch the numbers and improve the system. When you are ready, we build the next agent. ## Facts - Model agnostic: Claude, GPT, Gemini, Llama, Mistral, DeepSeek, Qwen. - Clients own 100% of the code and IP. - Data stays private. Deployments can run inside the client's own cloud. - Every message gets a reply within 24 hours. - Works with startups and enterprises worldwide. Remote first. ## FAQ ### What does an AI agency do? An AI agency designs and builds AI systems for other companies. At Zappient that means AI agents, RAG search, voice AI, workflow automation and the cloud setup to run them. We handle strategy, engineering and launch. ### What is an AI agent? An AI agent is software that can plan and take actions on its own. It uses a language model to reason. It uses your tools, like a CRM or inbox, to get work done. A chatbot answers questions. An agent finishes tasks. ### How much does it cost to build an AI agent? Every project gets a fixed quote after a free discovery call. A focused automation costs far less than a full agent platform. You always know the price before we start. ### How long does a project take? Most clients see a working prototype in 14 days. A production launch usually takes four to six weeks. Bigger platforms are split into clear phases. ### Which AI models do you use? We are model agnostic. We work with Claude, GPT, Gemini, Llama, Mistral and other open models. We test a few on your data and pick the best mix of quality, speed and cost. ### Is our data safe with you? Yes. We deploy inside your own cloud when needed. We use enterprise APIs that do not train on your data. Access is logged and kept to the minimum. ### Do you work with startups or enterprises? Both. Startups use us to ship their first AI product fast. Larger teams use us to automate operations and launch internal agents. ### Do you offer support after launch? Yes. Our Scale plan covers monitoring, model updates, evals and new features. Your agent keeps getting better after go live. ## Pages - [Home](https://zappient.com/) - [Services](https://zappient.com/services) - [Case studies](https://zappient.com/case-studies) - [Industries](https://zappient.com/industries) - [How we work](https://zappient.com/process) - [Guides](https://zappient.com/guides) - [About](https://zappient.com/about) - [Contact](https://zappient.com/contact)