AI & LLM Development Company
AI & LLM Development Services
We're an AI development company building the AI features that actually work in production: chatbots, agents, RAG pipelines and LLM integrations engineered around your real data and workflows, not a generic wrapper around someone else's API.
Technology we use primarily:
Claude
Node JS
AWS
The kind of production code an AI integration actually runs on.
AI & LLM development, explained
What does AI & LLM development actually involve?
AI & LLM development is the work of building AI features that are actually connected to your business, not just a chat window pointed at a model's general knowledge. That usually means retrieval-augmented generation (RAG) so answers are grounded in your real data, an agent that can use tools and take action, or a language model integrated directly into how your product already works. As an AI development company, we build these as production systems: tested, monitored, and engineered to stay reliable once real users depend on them, not a proof of concept that stalls after the demo.
Signs dedicated AI work is worth it
Your AI feature gives confident, wrong answers
It sounds right, reads well, and is occasionally just made up, because nothing is grounding it in your actual data.
You've bolted on a chatbot widget and it stops there
It can answer generic questions, but it doesn't know your products, your policies, or your customers, because it was never connected to any of it.
Your team is manually doing work an AI system could handle
Summarizing, tagging, triaging, drafting: the same repetitive judgment calls, made by hand, every single day.
You need AI to actually take action, not just respond
A plain chat answer isn't enough. The task needs something that can look things up, use tools, and complete a multi-step job on its own.
AI & LLM development services
AI features built to actually work once real users depend on them, all scoped and quoted for your specific project.
Custom AI Chatbots & Agents
Conversational assistants and autonomous agents built around your actual product, data and workflows, not a generic chat widget bolted onto your site.
RAG & Knowledge Base Integration
Retrieval-augmented generation that connects an LLM to your real business data, so answers are grounded in fact instead of a plausible guess.
LLM Integration
Integrating Claude, GPT and other language models into your product, using the right model for the job instead of a one-size-fits-all default.
Fine-Tuning & Prompt Engineering
Tailoring model behavior and prompts to your domain, tone and use case, so outputs are consistent and actually usable in production.
AI Workflow Automation
Automating the repetitive judgment calls your team makes today: triage, summarization, tagging, drafting, with AI wired into the actual process.
Multi-Agent Systems
Multiple AI agents coordinating on a task, each handling a specific part of a larger workflow instead of one model trying to do everything.
AI API & Infrastructure
Secure, scalable APIs and backend infrastructure that put your AI features in production, not just a working demo.
AI Feature Development
AI-powered features built directly into your existing product, like smart search, content generation, or automated recommendations.
Engagement models built for contractual projects
Every AI project is different, so the engagement should be too. Here's how businesses typically work with us, we'll recommend the right fit once we understand what you're building.
Fixed Scope Delivery
Requirements, timeline and deliverables agreed upfront: a fixed price for a fixed, well-defined AI feature or system.
- Best for a clearly-defined chatbot, agent or integration
- Cost and timeline predictability from day one
- Milestone-based delivery, not open-ended hours
Dedicated Development Team
A team of AI engineers assigned exclusively to your product, functioning as a direct extension of your in-house team.
- Best for products with an evolving, ongoing AI roadmap
- Direct access to your engineers, no account-manager relay
- Scale the team up or down as the system grows
Staff Augmentation
Senior AI engineers integrated into your existing team to fill a specific skill gap or handle a demand spike.
- Best for teams that need AI expertise, not a full build
- Works remotely alongside your existing tools & processes
- Ramp up quickly for a specific feature or launch
Dedicated AI work, or a different approach?
We'll tell you honestly which one fits before we start building anything.
It's probably right for you
- Your AI feature needs to know your real data, not just answer generically
- You need the system to take action, not just hold a conversation
- A chatbot widget or off-the-shelf tool has already hit its limits
- Reliability and accuracy actually matter once this is live
A different approach might suit better
- An off-the-shelf chatbot tool already covers what you need
- You're still validating whether AI is the right fit for this problem
- You need something live in days, not weeks
- The problem isn't really about AI, it's somewhere else in the product
Our development process
01
Requirements
Discuss your requirements with us and we will study it carefully.
02
Analyze
We will do the research, make a plan and implement it to perfection.
03
Development & Tracking
We build, test at every step and keep you updated at every step.
04
Delivery & Maintenance
We deliver the project, with ongoing support available if needed.
We build that for free.
This page covers our AI and LLM development work. If you also need a standard business website, we build it for free, you only pay one simple monthly plan for maintenance.
See the free website plan
Software Studio Pro vs. typical outsourcing agencies
Software Studio Pro
- ApproachAI wired into your actual data and workflow, grounded and tested
- TeamDedicated engineers who understand both the AI and your system
- Code ownershipFull source code and IP handed over to you
- CommunicationArchitecture and model decisions explained directly, not black-boxed
- Post-launchMonitoring, prompt tuning & reliability support built into the relationship
Everyone else
- ApproachA chat widget wrapped around a generic API call
- TeamRotating juniors, unpredictable staffing
- Code ownershipOften retained, licensed back, or platform-locked
- CommunicationRouted through account managers and layers
- Post-launchA separate retainer required for every fix
Real AI systems we've built
Case studies from AI and LLM projects we've shipped for real businesses.
No case studies here yet
We haven't published an AI case study yet, but we've built projects in this space. Get in touch and we'll walk you through relevant work.
Common questions about AI & LLM development
What's the difference between adding a chatbot widget and real AI development?
A chatbot widget is usually a generic model given a basic prompt, answering from what it already knows. Real AI development connects the model to your actual business data, defines how it should behave, and wires it into your systems so it can look things up, take action, or automate a real task, not just hold a generic conversation.
What is RAG, and do I need it?
RAG (retrieval-augmented generation) connects a language model to your actual business data before it answers, so responses are grounded in fact instead of the model's own guess. If your AI feature needs to know your products, policies, documents or customer data accurately, RAG is usually the right approach rather than relying on the model's general knowledge alone.
Can you build an AI agent that takes actions, not just answers questions?
Yes. Beyond a conversational chatbot, we build agents that can use tools, look up live information, and carry out multi-step tasks on their own, including systems where multiple agents coordinate on different parts of a larger workflow.
Which AI models do you work with?
We primarily build with Claude, and also work with GPT and other language models depending on what a project actually needs, the right model is chosen for the use case, not defaulted to one provider regardless of fit.
How much does AI development cost?
It depends entirely on scope: a single chatbot integration and a multi-agent system with custom infrastructure don't cost anywhere near the same, so a generic range wouldn't honestly apply to either. We scope every project individually and recommend the right engagement model based on what you actually need.
Can you add AI features to our existing product?
Yes. Most of our AI work integrates directly into an existing website, app or backend, you don't need to be building something from scratch for us to add AI features to it.
Do we own the AI system and the code behind it?
Yes. On completion of a project, full source code and IP is handed over to you, there's no platform lock-in or retained ownership on our end.
How do you keep AI outputs accurate and reliable?
Primarily through grounding responses in your real data with RAG, careful prompt engineering, and testing against real scenarios before launch, rather than shipping a model's raw, ungrounded output straight to users.
Have an AI feature in mind? We can help you build it.
Contact Us