Check if you need it
We first test whether prompting or retrieval is enough, so you only invest in fine-tuning when it truly pays off.
LLM Development & Fine-Tuning Services
Is a general-purpose language model falling short on your terminology, tone, or accuracy needs? Optimity Logics helps you build and adapt large language models for your business, from choosing the right base model and preparing training data to fine-tuning, evaluation, and deployment. We deliver LLM solutions that understand your domain, follow your rules, and run securely at a cost you can plan for.
Talk To Our LLM Experts
Trusted By 250+ Happy Clients, Including Fortune 400 Companies
40+
AI and ML specialists
100+
Engineering specialists
30+
Models fine-tuned and deployed
80+
Clients served
5+
Years in business
LLM Development and Fine-Tuning Services for Specialised Needs
Optimity Logics builds, adapts, and deploys language models around your domain and constraints. Our services cover LLM application development, model fine-tuning and training data work, and model deployment and operations, helping you get accurate, consistent, and cost-efficient language AI that general models alone cannot deliver.
LLM Application DevelopmentView MoreView MoreView MoreView More
Custom LLM Application Development
End-to-end applications built on language models, with prompts, retrieval, tools, testing, and monitoring designed as one system.
LLM Strategy and Model Selection
An honest assessment of whether you need an API, a fine-tuned model, or a self-hosted model, with cost and risk compared side by side.
RAG and Fine-Tuning Combined Systems
Use retrieval for fresh facts and fine-tuning for style and behaviour, so each does what it does best.
Small Language Model Development
Compact models tuned for one task that run faster and cheaper than large models, including on your own servers.
Fine-Tuning & Training DataView MoreView MoreView MoreView MoreView More
Supervised Fine-Tuning
Teach a model your tasks, formats, and terminology using curated example inputs and ideal outputs.
Parameter-Efficient Tuning with LoRA and QLoRA
Adapt large models at a fraction of the compute cost, with lightweight adapters that are quick to train and easy to swap.
Preference Tuning and Alignment
Shape model behaviour with human feedback and preference data so answers match your tone, policy, and quality standards.
Training Data Preparation
Collection, cleaning, labelling, and synthetic data generation, with checks for duplicates, bias, and privacy risks.
Domain Adaptation
Adapt models to specialised vocabulary in fields such as legal, finance, e-commerce, and healthcare.
Evaluation, Deployment & OperationsView MoreView MoreView MoreView More
Model Evaluation and Benchmarking
Custom test sets and scoring that measure what matters to your business, not just public leaderboard numbers.
Private and On-Premise LLM Hosting
Run models inside your own cloud or servers so sensitive data never leaves your environment.
Inference Optimisation
Quantisation, batching, and caching that lower response time and cost per request without hurting quality.
LLMOps and Monitoring
Versioning, quality tracking, drift alerts, and retraining pipelines that keep your model reliable over time.
Ready to Build a Language Model That Fits Your Business?
From deciding whether fine-tuning makes sense to a monitored production deployment, we help you get measurable gains from your own LLM.
Discuss Your LLM Project
Pre-Built API, Fine-Tuned Model, or Custom-Trained Model?
Most projects do not need to train a model from scratch. The choice depends on how specialised your task is, how much data you have, and how much control you need over cost and privacy.
Matrix
Pre-built API
Fine-tuned model
Custom model
Build time
1 to 4 weeks
4 to 12 weeks
6 to 12+ months
Data required
None, or documents for retrieval
Hundreds to thousands of quality examples
Very large domain-specific dataset
Control and privacy
Depends on the provider terms
Strong, can be hosted privately
Complete control over everything
Right when
Speed matters more than specialisation
Accuracy, style, or cost needs improvement
The model itself is your competitive edge
Structured Process We Follow to Build and Fine-Tune LLMs
From assessing whether you need fine-tuning to monitoring the deployed model, we follow a disciplined, evidence-based process that keeps every decision measurable.
01
Feasibility and baseline
We define the task, collect sample inputs, and measure how far prompting and retrieval can go, creating the baseline every later step is compared against.
02
Data collection and preparation
We gather, clean, label, and split your data into training and test sets, removing duplicates, errors, and sensitive details.
03
Base model selection
We shortlist models by quality, licence, size, and hosting needs, and run quick trials to choose the strongest starting point.
04
Fine-tuning experiments
We train with techniques like LoRA and QLoRA, adjust settings across runs, and track every experiment for repeatable results.
05
Evaluation and safety review
We score the model on held-out tests, check for regressions and unsafe outputs, and review results with your team.
06
Deployment and LLMOps
We deploy with optimised serving, monitor quality and cost, and set up retraining so the model improves as your data grows.
How We Secure and Govern LLM Projects
Training data protection
Personal and confidential details are removed or masked before training, datasets stay in your controlled environment, and access is limited and logged.
Standards we build to
GDPR, HIPAA, SOC 2 principles, ISO 27001 practices, the EU AI Act, and the OWASP Top 10 for LLM Applications, applied to match your industry and region.
Model quality and reliability
Every version is tested on a fixed benchmark, results are compared with the previous release, and a model is promoted only when it meets the agreed targets.
Safe behaviour in production
Output filters, prompt injection defences, rate limits, and fallback to a safe default keep the model within the boundaries you set.
AI Technologies and Tools We Use
We use proven models, training frameworks, and serving tools to build and deploy language models that are accurate, efficient, and production-ready.
Frontier models
ClaudeGPTGeminiGrok
Open-weight models
LlamaMistralDeepSeekQwenGemmaPhi
Fine-tuning
LoRAQLoRAAxolotlUnslothHugging Face TRL
Training frameworks
PyTorchTransformersPEFTDeepSpeedAccelerate
Data preparation
PythonPandasPolarsLabel StudioArgilla
Retrieval
LangChainLlamaIndexHybrid searchReranking
Vector stores
PineconeWeaviateQdrantPgvectorChroma
Inference and serving
vLLMSGLangTensorRT-LLMTritonBentoMLOllama
Model gateways
LiteLLMPortkeyOpenRouter
Experiment tracking
MLflowWeights & BiasesDVCTensorBoard
Evaluation
RagasDeepEvalPromptfooBraintrustLangSmith
Observability
LangfuseArize PhoenixOpenTelemetryDatadog
Guardrails
NeMo GuardrailsGuardrails AILlama Guard
Application stack
Next.jsReact.jsNode.jsPostgreSQLSupabase
Cloud and MLOps
AWS SageMaker & BedrockVertex AIAzure AI FoundryDockerKubernetes
Specialized Language Models for Industry-Specific Workflows
We help organizations evaluate, adapt, and fine-tune large language models for specialized tasks where consistent terminology, structured outputs, and domain-specific behavior matter.
LLM Development for Customer Support
Customer service platforms can use specialized language models to classify support requests, recognize product-specific terminology, and produce consistently structured outputs that fit existing support processes.
- Support Intent Classification
- Ticket Categorization
- Domain Vocabulary Adaptation
- Structured Response Generation
- Model Quality Evaluation
LLMs for Financial Document Processing
Financial technology teams can evaluate language models for extracting defined fields, categorizing financial documents, and normalizing information into formats used by downstream systems.
- Financial Document Classification
- Structured Field Extraction
- Financial Entity Recognition
- Report Data Normalization
- Task-Specific Model Benchmarking
LLMs for Legal Technology
Legal technology products can use specialized language models to categorize clauses, classify legal documents, and extract structured information for review by qualified professionals.
- Contract Clause Classification
- Legal Document Categorization
- Defined-Field Extraction
- Legal Terminology Adaptation
- Structured Output Validation
Why Teams Choose Optimity Logics for LLM Development
We recommend fine-tuning only when it makes sense, and prove the gain when it does. That means honest advice, careful data work, and measured results, delivered by a team that also builds the products your model will power.
WHAT CLIENTS SAY
Behind every testimonial is a business problem solved, a system improved, or a product successfully launched. Here is how our clients describe their experience working with Optimity Logics.
Let’s Build Something Great Together
Contact UsWe are grateful that Optimity Logics joined our project as a Next.js / React / Tailwind developer. Optimity Logics is a top-tier team that delivers features and fixes at a very fast pace with high quality. The quality and reliability of their work significantly reduce testing and project management effort. They communicate effectively: they are responsive, proactive, and kept us informed throughout the entire project. We believe Optimity Logics is a highly valuable asset to any project and our top choice when seeking to expand our front-end engineering team.
- CTO (Greece)
Optimity Logics was an absolute pleasure to work with! They did a wonderful job building our website on Contentful and went above and beyond by providing best practices and guidance for our team to use moving forward. They operated as dedicated and thoughtful members of our organization throughout the project. The end result delighted everyone on our team, including exec leadership. I would recommend them to anyone looking for web or IT work. I hope to work with them again in the future!
- PR Manager (USA)
I am thrilled to share my experience working with Optimity Logics. They did an outstanding job migrating our production server flawlessly, ensuring our product's stability. Additionally, they identified and resolved an existing issue with the AutoDesk Viewer, including 360 View, Floor Plan, 3D Model, and Gallery View integration. I am extremely impressed with their responsiveness, expertise, and dedication to this task. Optimity Logics' work exceeded my expectations, and I will definitely keep them in mind for future projects. Highly recommended!
- CEO (UK)
I recently had the pleasure of collaborating with Optimity Logics on a development project, and their performance exceeded all expectations. The team demonstrated exceptional expertise, professionalism, and dedication throughout the project, showcasing a profound understanding of the task at hand. Their technical proficiency was evident in every aspect, from meticulous planning to flawless execution, combined with a proactive approach to problem-solving and a commitment to delivering high-quality results. Communication was seamless, with regular updates and prompt resolutions to any concerns, ensuring smooth progress from start to finish. Optimity Logics went above and beyond to meet our needs, and their contributions were invaluable to the project's success. I am immensely grateful for their work and would not hesitate to recommend them to anyone seeking skilled and reliable development partners.
- CEO (Nigeria)
The Optimity Logics team showcased outstanding expertise in Fullstack development. Their collaborative efforts resulted in timely delivery and exceptional communication throughout the project. I would confidently engage their team again and wholeheartedly recommend them to others.
- Founder and Senior Manager (USA)
Optimity Logics did an amazing job bringing complex user stories and requirements to life through their invaluable knowledge and expertise. We appreciate all the feedback, guidance, and encouragement they provided to our junior developers. They are easy to communicate with and ask the right questions. They were consistent with daily scrum meetings and displayed great leadership skills.
- Sr. Ventures Manager (USA)
The Optimity Logics team excelled in delivering the project within a tight timeframe, maintaining exemplary coding standards, and achieving remarkable results. Their proficiency in React, Node.js, MongoDB, Express, and AWS was evident. I highly recommend their top-notch development services and look forward to future collaborations.
- Product Owner (UK)
Optimity Logics excelled with our website project, delivering exceptional results promptly. Their efficiency and dedication to excellence impressed us. Dealing with Optimity Logics is always a pleasure; their team exemplifies professionalism and expertise. We eagerly anticipate future collaborations with such a standout company.
- Founder and CEO (USA)
Optimity Logics executed a flawless server migration, showcasing AWS expertise. Their swift work, coupled with invaluable support, was remarkable. We extend heartfelt gratitude for their outstanding service.
- General Manager (USA)
