GPT Models
GPT models understand and generate human-like text, making them ideal for chatbots, content creation, and customer service automation. Best for businesses needing natural language conversations.
LLM Development Company
Custom LLM Development, Integration, and RAG for Production
We build LLM applications that survive real users: grounded in your data, integrated with your systems, and measured with evaluation suites. 32 AI agents already run on this foundation in live enterprise environments.
Talk to an LLM Engineer
Tell us what you are building. We reply within 24 hours.
Trusted by startups and global leaders
LLM Development Services, End to End
From choosing the right model to running it safely in production. Every engagement is scoped against a measurable business outcome, and everything we ship comes with evaluation, monitoring, and documentation your team can own.
Custom LLM Development
Custom LLM applications built around your workflows and data: assistants, copilots, document processing, and decision support. We select the model that fits the task and budget, then build the application layer around it.
LLM App Development
Production LLM apps with the parts demos skip: authentication, rate limiting, cost controls, evaluation suites, and fallbacks. Web, mobile, and API surfaces on your existing stack.
LLM Integration Services
Add language model features to the product you already run. We integrate with your APIs, databases, and auth so LLM features ship inside your existing system rather than beside it.
RAG Development Services
Retrieval augmented generation that grounds answers in your documents and data. Vector stores, chunking strategy, retrieval tuning, and citation so outputs stay accurate and auditable. Available project based or as RAG as a service.
LLM Fine Tuning Services
Fine tuning and adaptation when prompting is not enough: domain language, strict output formats, and tone. We benchmark against the base model so you only pay for tuning that measurably wins.
Private LLMs for Enterprise
Deployments for teams that cannot send data to public endpoints: VPC hosted or on premise models, access controls, audit logging, and compliance alignment for healthcare and other regulated industries.
LLM Consulting
Model selection, build versus buy, cost modeling, and roadmap. Short engagements that answer the expensive questions before development starts.
Hire LLM Developers
Senior LLM engineers as an extension of your team, from one specialist to a full pod. Same engineers who build our production systems, available for staff augmentation.
AI Models We Work With
Different AI models excel at different tasks. We help you choose the right model for your specific business needs, whether you need text generation, image creation, or voice recognition capabilities.
DALL-E
DALL-E creates images from text descriptions, perfect for marketing materials, product visuals, and creative content. Suited for teams needing custom imagery without design resources.
Whisper
Whisper converts speech to text with high accuracy across multiple languages. Ideal for transcription services, voice commands, and multilingual customer support.
Stable Diffusion
Stable Diffusion generates high-quality images for design, marketing, and content creation. Perfect for businesses needing consistent visual content at scale.
Custom Models
We build custom AI models trained on your specific data and business processes. Designed for companies with unique requirements that off-the-shelf models can't meet.
Our Process
How We Build Your AI Solution
Our development process is designed to keep you involved at every stage. We work collaboratively to ensure your AI solution meets your business goals and delivers real value.
We start by understanding your business needs, technical requirements, and success metrics. This phase includes stakeholder interviews, technical assessment, and roadmap development to align on project goals.
Our team creates detailed technical specifications and system architecture. We design user workflows, data requirements, and integration points to ensure the solution fits your existing operations.
We build your AI solution using agile development with regular testing. Each iteration is reviewed with your team to ensure functionality meets requirements and quality standards.
We deploy your solution in phases and train your team on usage. This includes documentation, system setup, and performance monitoring to ensure smooth adoption.
After launch, we provide ongoing support and performance optimization. Our team monitors system health and makes improvements based on user feedback and business needs.
01
Discovery & Planning
We start by understanding your business needs, technical requirements, and success metrics. This phase includes stakeholder interviews, technical assessment, and roadmap development to align on project goals.
02
Solution Design
Our team creates detailed technical specifications and system architecture. We design user workflows, data requirements, and integration points to ensure the solution fits your existing operations.
03
Development & Testing
We build your AI solution using agile development with regular testing. Each iteration is reviewed with your team to ensure functionality meets requirements and quality standards.
04
Deployment & Training
We deploy your solution in phases and train your team on usage. This includes documentation, system setup, and performance monitoring to ensure smooth adoption.
05
Support & Optimization
After launch, we provide ongoing support and performance optimization. Our team monitors system health and makes improvements based on user feedback and business needs.
Success Stories in AI Implementation
Real results from enterprises that have deployed Bonami's AI solutions across industries.
Bonami's AI platform revolutionized our content creation process. Their natural language generation tools helped us scale our content production by 300% while maintaining exceptional quality and brand voice.
Get in touch
Let's Discuss Your AI Project
Schedule a consultation with our development team to explore your requirements and solution options.
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LLM Development Company: FAQs
[ 1 ]
What does an LLM development company do?
An LLM development company builds software around large language models: selecting the right model, engineering prompts and retrieval, integrating with your systems, and running it reliably in production. It sits inside the wider practice of generative AI development, focused specifically on language model applications. Bonami covers the full lifecycle from consulting through deployment and support.
[ 2 ]
What do your LLM development services include?
Custom LLM development for new applications, LLM app development on web and mobile, LLM integration services for products you already run, RAG development, fine tuning, and private enterprise deployments. Every project ships with evaluation suites and monitoring, because a language model you cannot measure is a language model you cannot trust.
[ 3 ]
Can you add LLM features to our existing product?
Yes, that is our LLM integration services track and it is the fastest path to value for most teams. We connect the model to your existing APIs, data, and authentication so features ship inside your product rather than as a separate tool. Typical first integrations are search, summarization, drafting, and support triage.
[ 4 ]
Do you build RAG pipelines or offer RAG as a service?
Both. Our RAG development services cover chunking strategy, vector stores, retrieval tuning, and citation so answers stay grounded in your documents. If you prefer not to run the infrastructure, we offer RAG as a service with the pipeline managed for you.
[ 5 ]
When is LLM fine tuning worth it?
Fine tuning pays off when prompting cannot reach the accuracy, format, or tone you need: specialized domain language, strict structured outputs, or consistent brand voice. Our LLM fine tuning services always benchmark against the base model first, so you only invest when the gain is measurable. Many projects discover good retrieval beats tuning, and we tell you when that is the case.
[ 6 ]
Can we hire LLM developers without a full project?
Yes. You can hire LLM developers from Bonami as staff augmentation, from a single senior engineer to a full AI/ML engineering pod. They are the same engineers who build our production systems, not a separate bench.
[ 7 ]
How much does LLM development cost?
A scoped integration or proof of concept typically starts around $20,000 to $40,000 and ships in 4 to 8 weeks. Full custom LLM applications with RAG, evaluation, and enterprise deployment generally run $60,000 to $200,000 depending on scope. LLM consulting engagements for model selection and roadmap start much smaller. We scope against a measurable outcome before any build starts.
[ 8 ]
Do you build AI agents on top of LLMs?
Yes. Agents are LLM applications that take actions, not just generate text, and they are the fastest growing part of our work. Bonami X AI runs 32 agents in live enterprise environments, and our AI agent development company team can scope one for your workflow.
Global presence
