LLM Development Services: Choose, Customize and Deploy the Right Model
We help you select, customize, secure and deploy large language models, from hosted APIs to fine-tuned and self-hosted open-source models, with evaluation and cost control built in.
What we build
- LLM application development Products and workflows powered by LLMs
- Model selection and benchmarking Compare models on your own tasks and budget
- Fine-tuning and customization Adapt models to your domain and format
- Self-hosted open-source LLMs Run models in your own cloud or on premises
- LLM security and testing Prompt injection, data leakage and safety checks
- LLMOps and monitoring Track quality, latency and cost in production
- Model-agnostic Hosted, fine-tuned or self-hosted
- 17+ Years of engineering experience
- ISO 27001 Certified information security
- ISO 9001 Certified quality management
- India + USA Global delivery
What Do You Need From an LLM?
Pick the one closest to your goal and see how we would approach it.
Build an LLM-Powered Product
Design and build applications on top of hosted or open-source LLMs.
Choose the Right Model
Benchmark models on your tasks to balance quality, speed and cost.
Customize a Model
Fine-tune or adapt a model to your domain, terminology and output format.
Keep Data in Your Environment
Deploy open-source models in your own cloud or on premises.
Cut LLM Costs
Reduce spend with model routing, caching, prompt optimization and smaller models.
Secure and Test Your LLM
Test for prompt injection, data leakage and unsafe outputs.
Not sure which model or approach fits?
Tell us your use case and our AI experts will recommend the right model, hosting and team.
LLM Development Services We Offer
From model selection to production deployment, built for quality, security and cost control
LLM Application Development
End-to-end applications and workflows built on leading LLMs.
- LLM apps
- APIs
- Prompt design
Model Selection and Benchmarking
Compare models on your own data and tasks across quality, latency and cost.
- Benchmarks
- Cost analysis
- Recommendations
Prompt Engineering and Evaluation
Prompts, test sets and metrics that make LLM behavior consistent and measurable.
- Prompt design
- Test sets
- Regression tests
Fine-Tuning and Customization
Parameter-efficient fine-tuning and adaptation for domain-specific behavior.
- LoRA / PEFT
- Instruction tuning
- Data prep
Self-Hosted Open-Source LLMs
Deploy and serve open-source models in your own cloud or infrastructure.
- Llama
- Mistral
- Private hosting
LLM Integration and APIs
Connect LLM capabilities to your apps, ERP and CRM with reliable APIs and fallbacks.
- REST APIs
- Fallbacks
- Rate limits
LLMOps and Monitoring
Pipelines, observability and cost tracking to run LLMs reliably in production.
- Observability
- Cost tracking
- CI/CD
LLM Security and Testing
Red-team and safety testing for prompt injection, leakage and harmful outputs.
- Prompt injection
- Data leakage
- Red teaming
Looking for something else? Explore our full AI development services, AI Agent Development, Generative AI Development, RAG Development.
Built for Real Business Problems
Real engagements, real outcomes. Every result below comes from a documented client case study.
Accessible Articulate Storyline 360 Courses for a Corporate Training Provider
A US-based corporate training provider needed its Articulate Storyline 360 compliance courses to work for learners using screen readers, keyboards and captions. D2i Technology audited and remediated the course library to WCAG 2.1 AA and Section 508.
Read Full Case Study of Accessible Articulate Storyline 360 Courses for a Corporate Training ProviderBuilding a CA Services Marketplace for MyTaxProf
MyTaxProf set out to connect clients with Chartered Accountant (CA) firms through one digital platform. D2i Technology built a custom, multi-role CA services marketplace covering service discovery, firm onboarding and verification, and structured service requests.
Read Full Case Study of Building a CA Services Marketplace for MyTaxProfWebsite Redesign at New Life Agency
New Life Agency needed a modern, professional website that truly reflected their reputation. D2i Technology redesigned their digital presence from the ground up — delivering a faster, more intuitive, and fully responsive experience built to support their continued growth.
Read Full Case Study of Website Redesign at New Life AgencyWhy Businesses Invest in Custom LLM Solutions
The right model, hosted the right way, with the right evaluation, beats a generic chatbot every time.
The right model for the job
Pick by quality, speed, cost and data needs, not hype.
Use your own data
Ground and adapt models using your documents and examples.
Control and privacy
Keep sensitive data in your cloud with self-hosted options.
Predictable cost
Routing, caching and smaller models keep spend in check.
Measurable quality
Evaluation sets so you can trust and defend model behavior.
Which LLM Approach Fits?
There is no single right answer. Here is how we would think about it.
| If you need... | Consider... |
|---|---|
| A fast start with strong general ability | A hosted API model such as OpenAI, Claude or Gemini |
| Strict data residency or full control | A self-hosted open-source LLM |
| Specific tone, format or domain behavior | Fine-tuning or parameter-efficient tuning |
| Answers grounded in your documents | RAG on top of an LLM |
| Lower cost at high volume | A smaller or distilled model with routing |
| To compare options before committing | A model benchmarking sprint |
From Use Case to Production LLM
A proven 6-stage process from first idea to a system running in production
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Step 01
Discover
Define the use case, success metrics and data and privacy constraints.
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Step 02
Select
Benchmark candidate models on your tasks for quality, latency and cost.
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Step 03
Customize
Design prompts, add retrieval or fine-tune where it pays off.
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Step 04
Evaluate
Test accuracy, safety and robustness against agreed benchmarks.
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Step 05
Deploy
Host, integrate through APIs and add guardrails and fallbacks.
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Step 06
Operate
Monitor quality, cost and drift, and improve over time.
What Happens After You Contact D2i?
No big commitment up front. Here is what the first few weeks look like.
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Step 1: 30-minute discovery call
We listen to the problem you want to solve.
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Step 2: Data and feasibility review
We check what data and systems you have and what is realistic.
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Step 3: Solution proposal
Approach, team and estimate in writing.
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Step 4: Delivery plan
Milestones, evaluation criteria and who does what.
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Step 5: Start building
Your team is onboarded and sprint one begins.
We Don't Stop at a Working Model
Your LLM solution ships ready for real users, real data and real scrutiny.
Accurate
Evaluation against agreed metrics before and after every release.
Secure
Encryption, access controls and secure model serving, backed by ISO 27001 certified processes.
Safe
Guardrails and red-team testing for harmful or leaking outputs.
Scalable
Serving and caching designed around your traffic and latency needs.
Monitored
Quality, latency and cost tracked in production.
Maintainable
Model and prompt versioning, documentation and SLA-backed support.
Security and Trust Built Into Your LLM Solution
Trust shouldn't be added after launch. We protect your data and test model behavior at every stage.
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Data
NDAs before any data is shared, plus anonymization where required.
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Build
Access controls and encryption across pipelines and environments.
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Evaluate
Accuracy, bias and robustness testing before release.
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Secure
Prompt-injection and data-leakage testing, then secure serving.
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Monitor
Quality, cost and misuse monitoring after go-live.
- ISO 27001
- NDAs
- End-to-end encryption
- Strict access controls
- Data anonymization
- Prompt-injection testing
- Your cloud or VPC
- Usage monitoring
Technology That Fits the Problem
We choose models and tools based on your data and goals, not because they're fashionable.
Hosted Models
- OpenAI
- Claude
- Gemini
Open-Source Models
- Llama
- Mistral
- Hugging Face
Fine-Tuning
- PyTorch
- PEFT / LoRA
- Hugging Face Transformers
Serving
- vLLM
- Ollama
- REST APIs
Cloud and LLMOps
- AWS
- Azure AI
- GCP Vertex AI
- MLflow
Evaluation and Safety
- Evaluation harnesses
- Red-team testing
- Prompt versioning
Not Sure Where to Start?
Tell us where you are and what you need. We will suggest a starting point.
You're probably looking for
Choose a stage to see our suggestion
Your answers stay on this page. Nothing is sent until you contact us.
How Can We Work Together?
Whether you need a full AI product team or dedicated engineers to extend your own, we match the engagement to your situation.
Build My AI Solution
End-to-end discovery, data engineering, development, evaluation, deployment and monitoring.
Best for: Startups and businesses building a new AI product or feature.
Extend My AI Team
Dedicated AI engineers, ML engineers and data engineers who work inside your process.
Best for: Companies that already have data, a product or a team.
Explore With a Proof of Concept
A short, focused build or consulting sprint to test an idea before you commit to a larger investment.
Best for: Teams that are not yet sure how far this can go.
Choose How You Pay
Dedicated Team
Monthly retainer for long-term AI product development or ongoing improvement, with predictable billing.
- Full-time dedicated AI engineers
- Daily standups and sprint planning
- Maximum cost efficiency
Fixed-Price Project
For well-scoped AI projects with clear deliverables. Agree on price, timeline and milestones up front.
- Clear scope and milestones
- Fixed budget, no surprises
- Defined delivery dates
Flexible Hourly
Pay only for hours worked. Best for proofs of concept, evaluations, short sprints or expert consultation.
- No long-term commitment
- Transparent time tracking
- Scale up or down any time
Why Companies Work With D2i
Our teams do not just build AI, they solve real business problems with measurable outcomes.
Five Disciplines Under One Roof
AI, development, security, accessibility and QA from one team instead of piecemeal vendors.
Built Around Outcomes
Every engagement is measured against business results, not demo-day applause.
Security and Quality
ISO 27001 and ISO 9001 certified processes behind every engagement.
Tested Before It Ships
In-house QA and security testing for AI behavior, not just application code.
Global Delivery
India-based engineering with experience serving clients across the USA and beyond, at up to 60% savings versus onshore teams.
Long-Term Partnership
SLA-backed support and maintenance after launch. We do not disappear after go-live.
What Clients Say
In recognition of exceptional performance, dedication, hard work, passion, and commitment to excellence — D2i Technology’s invaluable contribution continues to make a significant impact in support of our All Hazards, One Health, One Nature mission.
Allison A. Sakara
Co-Founder & Executive Director, High Alert Institute
Their DevOps Services in USA helped us significantly reduce deployment time and infrastructure costs. D2i Technology streamlined our CI/CD pipelines and improved system stability. The results were visible within weeks, and their DevOps expertise truly made a difference.
DevOps Services & Solutions (USA)
D2i Technology is a highly dependable Web Development Company in India. From requirement gathering to final delivery, their team demonstrated strong technical expertise and ownership. The final product was robust, user-friendly, and built exactly as envisioned.
Web Development Company (India)
Frequently Asked Questions
The questions we hear most before a project starts.
Related AI and Engineering Services
Explore the services that work alongside LLM Development.
AI Development
The full range of D2i AI services, from machine learning to automation. Learn more about AI DevelopmentGenerative AI Development
LLM-powered apps, copilots and content tools. Learn more about Generative AI DevelopmentRAG Development
Assistants that answer from your private documents. Learn more about RAG DevelopmentAI Agent Development
Agents that plan, use tools and complete multi-step tasks. Learn more about AI Agent DevelopmentPenetration Testing
Security testing for the applications around your models. Learn more about Penetration TestingDevOps and MLOps
Deployment, monitoring and scaling for production AI. Learn more about DevOps and MLOpsReady to Put LLMs to Work?
Tell us what you're trying to build, improve or scale. We'll help you understand the right model, hosting, team and next steps.
No obligation. Start with a 30-minute discovery conversation.