GPT Models
Human-like text for chatbots and content.
LLM Development Company
Custom LLM development, integration, and RAG for production apps grounded in your data and measured with evaluation suites.
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 model choice to safe production, scoped to a measurable business outcome.
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
Pick the right AI model for each task.
DALL-E
Text-to-image for marketing visuals.
Whisper
Accurate multilingual speech-to-text.
Stable Diffusion
High-quality image generation at scale.
Custom Models
AI models trained on your own data.
How We Build Your LLM Application
A five-phase delivery process that takes an LLM use case from scoping to production — with evaluation gates at every step.
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Phase 1 — Use Case & Eval Design
Phase 1 — Use Case & Eval Design
We scope the workflow, define what a correct answer looks like, and build the evaluation suite before writing application code.
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Phase 2 — Data & Retrieval Layer
Phase 2 — Data & Retrieval Layer
Your documents and records are chunked, embedded, and indexed so the model answers from your data instead of guessing.
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Phase 3 — Model Selection & Tuning
Phase 3 — Model Selection & Tuning
We benchmark candidate models on your evals, then prompt-engineer or fine-tune the one that hits quality, latency, and cost targets.
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Phase 4 — Application & Guardrails
Phase 4 — Application & Guardrails
The LLM is wired into your systems through secure APIs, with guardrails, fallbacks, and human review where decisions carry risk.
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Phase 5 — Deploy & Optimize
Phase 5 — Deploy & Optimize
We ship to production and keep monitoring accuracy, drift, and token spend — tuning prompts and retrieval as real usage comes in.
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?
LLM apps built on generative AI development: retrieval, integration, production.
[ 2 ]
What do your LLM development services include?
Custom LLM apps, integration, RAG, fine tuning, and private enterprise deployments.
[ 3 ]
Can you add LLM features to our existing product?
Yes. LLM integration services connect the model to your APIs, data, and auth.
[ 4 ]
Do you build RAG pipelines or offer RAG as a service?
Both. RAG development services or managed RAG as a service, grounded in your docs.
[ 5 ]
When is LLM fine tuning worth it?
When prompting cannot hit your accuracy, format, or tone. We benchmark the base model first.
[ 6 ]
Can we hire LLM developers without a full project?
Yes, staff augmentation from one senior engineer to a full AI/ML engineering pod.
[ 7 ]
How much does LLM development cost?
Scoped integrations start at $20K to $40K; full custom LLM builds run $60K to $200K.
[ 8 ]
Do you build AI agents on top of LLMs?
Yes, AI agents that act, not just chat. 32 run live today.
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