Navtechy
Navtechy AI and full-stack development agency engineering workspace

Custom AI & Full-Stack Dev.

Navtechy is an AI and full-stack development agency that builds custom LLMs, RAG systems, AI chatbots, and SaaS platforms for businesses worldwide. 50+ projects shipped — from $5,000 automation tools to $50,000+ enterprise AI deployments. Free 30-minute scoping call.

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50+Projects
5.0Rating
<1sLoad Time
auto_awesomeWhat We Build

Functional Software Micro-UIs.

Experience the capability of our engineering.

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Web & SaaS

Full-Stack Development

Modern web applications built with scalable architectures and zero compromises on performance.

const build_cinematic = () => { return 'perfection'; }
<Architect>
  <System performance='max' />
</Architect>
deployPipeline.execute({ target: 'production' })
psychology
AI & LLMs

Custom AI Solutions

Agentic workflows, RAG systems, and custom language models trained on your enterprise data.

Live Inference
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Automation

Workflow Integrations

Connect fragmented tools into seamless, automated pipelines that eliminate manual tasks.

mail
database
notifications
Automated
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architectureCapability Manifesto

We don't build templates.We don't ship 'good enough'.
We engineer digital instrumentsthat command authority.

0%Generic UI
100%Custom Logic
<1sLoad Times
24/7Reliability

Our Methodology

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architecture

Discovery & Architecture

We deconstruct your business objective into technical requirements. No fluff, just precise engineering documentation and system design.

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Prototyping & UX Design

Mapping the user journey. We create low-fidelity wireframes and high-fidelity prototypes to validate the interface before writing a single line of code.

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Engineering & Core Dev

Building the core infrastructure. We train models on your proprietary data, construct the robust APIs, and develop the front-end interfaces.

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Quality Assurance & Testing

Rigorous system validation. We implement automated unit testing, end-to-end load testing, and security audits to ensure zero vulnerabilities.

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Deployment & Scale

Zero-downtime deployment pipelines. We configure continuous integration and continuous deployment (CI/CD) on scalable cloud architecture.

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Iteration & Support

Ongoing system optimization. We continuously monitor performance analytics, apply security patches, and refine the application based on real user data.

Navtechy at a Glance

Founded2021
Projects shipped50+
SaaS products in production3
Client rating5.0 / 5.0
Starting price$5,000
Enterprise LLM deployments$50,000+
AI chatbot timeline4–8 weeks
Full SaaS platform timeline12–20 weeks
AI stackOpenAI, Anthropic Claude, Gemini, LLaMA, Mistral
Web stackNext.js, React, Node.js, Python, TypeScript
Free consultation30-minute scoping call, no obligation
helpFAQ

Frequently Asked Questions

Common questions about working with Navtechy.

What does Navtechy build and what AI services does it offer?

helpWhat does Navtechy build?

Navtechy builds custom AI systems and full-stack web applications for businesses worldwide. Our core services include AI chatbots powered by GPT-4, Claude, and Gemini; Retrieval-Augmented Generation (RAG) pipelines that connect LLMs to your business data; fine-tuned language models trained on proprietary datasets; SaaS platforms built with Next.js and Node.js; and workflow automation systems that integrate AI into existing business processes. We have shipped 50+ projects across SaaS, e-commerce, healthcare, education, and enterprise software — including 3 live SaaS products we built from scratch. Whether you need a focused AI chatbot in 4 weeks or a full-scale enterprise LLM deployment over 5 months, Navtechy engineers the solution from architecture through to production deployment.

helpWhat AI technologies does Navtechy specialise in?

Navtechy specialises in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, custom AI chatbots, AI workflow automations, and model fine-tuning. We integrate with all leading AI providers — OpenAI (GPT-4, GPT-4o), Anthropic (Claude 3), Google (Gemini), and open-source models including LLaMA 3 and Mistral. For RAG pipelines, we use LangChain and LlamaIndex with vector databases such as Pinecone and Chroma. For fine-tuning, we work with both proprietary APIs and open-source frameworks on GPU infrastructure. We are model-agnostic — we select the best AI architecture for your use case based on accuracy requirements, latency, cost, and data privacy constraints, rather than defaulting to a single provider.

helpWhat is a RAG system and does Navtechy build them?

A RAG (Retrieval-Augmented Generation) system is an AI architecture that combines a large language model with a retrieval layer connected to your own data — documents, databases, knowledge bases, or APIs. Unlike a base LLM that answers only from training data, a RAG system first searches your specific content, retrieves the most relevant passages, and passes them to the LLM to generate an accurate, grounded response. This prevents hallucination and keeps answers current without expensive model retraining. Common use cases include internal knowledge bases, customer support bots, document Q&A tools, and enterprise search. Yes, Navtechy designs and builds custom RAG pipelines using LangChain, LlamaIndex, and vector databases like Pinecone and Chroma — integrated with OpenAI, Claude, and open-source models. A RAG build typically takes 4–8 weeks.

How much does an AI development project cost and how long does it take?

helpHow much does a custom AI project cost?

Custom AI project costs at Navtechy range from $5,000 for focused automation tools and simple chatbot integrations, up to $50,000+ for enterprise-grade LLM deployments, multi-model RAG systems, or full SaaS platforms. The cost depends on three factors: complexity of the AI architecture (off-the-shelf API vs. fine-tuned model), the scope of the full-stack application it powers, and integration requirements with your existing systems. A standalone AI chatbot connected to a knowledge base typically costs $8,000–$20,000 and takes 4–8 weeks. A full SaaS product with AI features built in runs $25,000–$50,000+ over 12–20 weeks. We offer a free 30-minute scoping call to assess your requirements and provide an accurate estimate — no obligation.

helpHow long does development take?

Development timelines at Navtechy depend on the scope and complexity of the project. AI chatbots and RAG systems typically take 4–8 weeks from scoping to production. Full SaaS platforms with integrated AI features take 12–20 weeks. Automation and workflow integrations take 2–4 weeks. All projects begin with a discovery and scoping phase (1 week), followed by architecture design (1 week), then agile development sprints of 2 weeks each with live previews and direct access to the engineering team. QA and testing run in parallel during the final sprint. Deployment to AWS, Vercel, or GCP is included, along with a post-launch support window. Timelines are agreed upfront — we do not move goalposts after the technical spec is signed off.

Which industries and clients does Navtechy work with?

helpDo you work with startups and small businesses?

Yes. Navtechy works with early-stage startups, growth-stage businesses, and enterprise clients. We have built SaaS products from a blank repository for pre-seed founders, added AI features to existing platforms for Series A companies, and delivered enterprise LLM systems for established organisations. For startups, we act as a full engineering team — handling architecture, development, and deployment so you can focus on the product. We are also comfortable inheriting partially-built codebases and working within tight timelines and budgets. Our pricing starts at $5,000 for focused tools, which puts professional AI engineering within reach for small businesses and early-stage teams. Book a free scoping call to discuss your specific situation.

helpWhich industries has Navtechy worked with?

Navtechy has delivered AI and full-stack projects across SaaS, e-commerce, healthcare, education, hospitality, and enterprise software. In SaaS, we have built complete platforms from zero and added AI features to existing products. In e-commerce, we have built product recommendation engines and AI-powered customer support systems. In healthcare, we have delivered HIPAA-aware document processing tools. In education, we have built AI tutoring and assessment systems. In hospitality, we have built booking and operations automation tools. Our AI and full-stack engineering expertise is industry-agnostic — we focus on understanding your business problem first and engineering the right technical solution second. If your challenge involves data, users, and software, Navtechy can build it.

What tech stack does Navtechy use and how does the process work?

helpWhat tech stack does Navtechy use?

Our primary web stack is Next.js and React for frontend, Node.js for backend APIs, and Python for AI and machine learning workloads. We use TypeScript across most projects for type safety. For databases, we work with PostgreSQL for relational data and MongoDB for document-based systems. For cloud infrastructure, we deploy to AWS, Vercel, and GCP depending on the project requirements. For AI, we integrate OpenAI, Anthropic, and Google APIs, and use LangChain and LlamaIndex for RAG and agent pipelines. We are not dogmatic about stack — we recommend what is right for your project, factoring in your team, scaling requirements, and existing infrastructure, rather than defaulting to what we are most familiar with.

helpDo you offer a free consultation before committing?

Yes. Navtechy offers a free 30-minute scoping call before any commitment. In this call, we assess your project requirements, ask questions about your existing infrastructure and data, suggest the right technical approach — whether that is a RAG system, a fine-tuned model, a full-stack build, or a simpler API integration — and provide a timeline and budget estimate. There is no sales pressure and no obligation. The scoping call is designed to give you enough information to make a confident decision about whether to proceed, regardless of whether you work with us. Most clients come away with a clearer picture of what their project actually requires technically, even if they ultimately choose a different path.

helpCan Navtechy take over a project that another team started?

Yes. Navtechy regularly performs code audits and takes over partially-built projects. We start with a structured codebase assessment — reviewing architecture decisions, identifying technical debt, security issues, and performance bottlenecks, and documenting what exists before writing a single line of new code. We then produce a remediation and continuation plan for your sign-off. Common scenarios include projects where a previous agency went dark mid-build, in-house teams that ran out of capacity, and MVP-stage products that need to scale. We work in any modern web or AI stack and are comfortable with messy codebases. Transparent documentation is produced throughout so your team is never dependent on us.

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Insights & Tutorials

Deep dives into AI development, RAG systems, LLM fine-tuning, and web architecture from the Navtechy engineering team.

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Shipped Products & Systems

50+ projects shipped — AI chatbots, enterprise platforms, SaaS products, and workflow automation systems. See the work.

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