AI Development
An AI development company that ships to production.
AI agents, RAG assistants, automation, and chatbots — grounded in your data and wired into your systems. Built in California for US clients and teams worldwide.
AI that does real work, not demos
Most “AI” is a demo with a pricing page. We build AI that runs in production — grounded in your data, connected to your tools, and safe to put in front of customers. From a support chatbot to an autonomous agent, we ship the whole thing.
We build with Claude, OpenAI, and Gemini, retrieve with vector search, and let agents take action through MCP. And we run AI in our own products every day — SocialPatra ships an MCP server and a viral predictor; ContentBuffer automates content; Thumbnail Art Studio generates images.
- AI that answers from your own data (RAG)
- Agents that take action, not just chat
- Tool-calling wired to your systems via MCP
- Guardrails, grounding & low hallucination
- Streaming responses & clean human handoff
- Cost-tuned model selection
What we build
Four ways we put AI to work
Pick one or combine them — each links to its full service page.
AI Agents & Workflows
Autonomous AI agents that plan, call tools, and complete multi-step work — wired into your systems.
ExploreAI Solutions
Custom AI features baked into your product — RAG assistants, semantic search, document intelligence.
ExploreAI Automation
Replace repetitive operations with software that runs itself — sorting, drafting, syncing, monitoring.
ExploreAI Chatbots
Support, sales, and assistant chatbots that know your business and hand off cleanly to humans.
ExploreKnow the difference
Chatbot vs. RAG vs. agent
Different tools for different jobs — we'll help you pick the right one.
Chatbot
Answers questions in a conversation — trained on your content, embeddable, with lead capture. Best for support and sales.
RAG assistant
Retrieval-augmented: pulls answers from your documents/knowledge base with citations, so responses are grounded and current.
AI agent
Plans and takes multi-step action — calls tools and APIs via MCP to actually complete tasks, not just talk about them.
Want the deep dive? AI agents vs chatbots →
Use cases
What you can build with us
Models & tools
What we build AI with
LLMs
Retrieval & vectors
Agents & tools
Infra
How we build
The model is the last decision, not the first
Start from the task, not the model
We define the job to be done and the success metric first, then choose the smallest, cheapest model that clears the bar.
Ground it in your data
RAG over your documents with a real retrieval + evaluation setup, so answers are accurate, current, and citeable.
Give it tools
Agents call your APIs and apps through MCP, with deterministic orchestration and human checkpoints where it matters.
Keep humans in the loop
Confirmations, guardrails, and fallbacks so the system fails safe — and you stay in control of what it can do.
Proof
AI we run in production
Not slideware — live AI features inside our own products.
AI Social Automation
An AI-powered social media automation platform: compose once and publish platform-native variations across 23 networks, with scheduling, analytics, and a viral predictor.
Newsletter + Dev Platform
A daily AI & tech newsletter plus a developer-tools directory, job board, and guides — the news, launches, and dev updates that matter, explained in 5 minutes every morning.
From the blog
Get up to speed on AI
FAQ
AI development, answered
What does an AI development company do?
Kodetra builds production AI — chatbots, RAG assistants, AI agents, and automations — grounded in your data and wired into your systems with Claude, OpenAI, Gemini, MCP, and vector search.
What's the difference between a chatbot, RAG, and an AI agent?
A chatbot answers in conversation; a RAG assistant retrieves grounded answers from your documents; an AI agent plans and takes multi-step action by calling tools and APIs (often via MCP). We build all three.
What is MCP and why does it matter?
The Model Context Protocol lets AI models securely call your apps and data as tools. We build MCP servers so agents can actually do things in your systems — SocialPatra ships one in production.
How do you keep AI accurate and safe?
Retrieval grounding (RAG), evaluation harnesses, guardrails, PII handling, and human-in-the-loop checkpoints — plus model/cost tuning so it's reliable and affordable.
Have you shipped real AI?
Yes. SocialPatra has 5 AI models, a viral predictor, and an MCP server; ContentBuffer runs AI content automation; Thumbnail Art Studio does AI image generation — all live.
How do I start?
Email info@kodetra.com or use the contact form. We reply within one business day with a plan, timeline, and fixed price. US clients can meet in person; we work with teams worldwide.
Have an AI project in mind?
Tell us the goal — we'll map it to the right approach (chatbot, RAG, or agent) with a timeline and a fixed price.