Large Language Model (LLM) Development Company
Our Large Language Model Development Services
We offer all the services you might need to make large language models work for you. Below is what we can do:
Consulting Services
We begin with a deep understanding of your unique needs and industry specifics. Drawing on our extensive experience in NLP and machine learning, we then work closely with you to develop a tailored strategy, enabling our LLM specialists to create a private model that perfectly aligns with your business goals.
Custom LLM Development and Deployment
We build custom LLMs from scratch using publicly available data or your specific domain data to enhance model performance and relevance. Depending on your goals, we train either a general-purpose model or a highly specialized one, using Transformer or Vision Transformer architectures. Alternatively, as a cost-effective option, we can fine-tune open-source LLMs using your unique proprietary data.
LLM Model Integration Services
We make your new LLM-powered functionality work properly with your existing systems. Our developers do everything from creating APIs to fine-tuning your existing software for flawless compatibility.
LLM Operations (LLMops)
LLMops implies creating automated pipelines to deploy, monitor, and tune your AI models, keeping them up-to-date, performing optimally, and giving you reliable, correct results.
Model Fine Tuning
We can customize/tune LLMs to your functional criteria. What this involves is formatting your unique dataset, tuning open-source LLMs or embedding models, and tuning features to your specification.
LLM-Backed App Development
We can develop apps powered by LLMs that enrich user perception, have intelligent, interactive user interfaces, and offer a lot of features, such as natural language processing and text generation.
Hallucination Reduction
By optimizing training and validation processes, we reduce error rates in LLM responses, ensuring accurate and contextually grounded answers. We employ data selection and preparation, RAG, prompt optimization, and model quality assessment to minimize the amount of inaccurate information and enhance the consistency of model performance.
Inference Optimization and Quantization
To reduce latency, lower infrastructure costs, and simplify deployment, we optimize the LLM inference process through quantization, model compression, request serving optimization, and runtime fine-tuning. These measures ensure cost-efficiency and production readiness across cloud, on-premises, and edge environments.
Prompt Engineering
If needed, our professionals can compose and adjust prompts to make your LLMs actually do what you need them to. We can create the correct instructions, experiment with different strategies, and direct your LLM to produce relevant, unambiguous and structured answers.
Explore Our Expertise in Large Language Model Development
Our engineers have skills in all popular and in-demand AI development directions, which allows us to make not only practical but exclusive and original custom LLM solutions.
We employ advanced machine learning and deep learning techniques to produce sensible and well-proportioned language processing models. These LLMs and AI agents based on LLM can help you not just automate processes but also put out meaningful results and enhance the way your departments work.
Our skills in Natural Language Processing (NLP) allow us to develop algorithms that understand and generate human language with high accuracy, making your applications smarter and more helpful.
We adapt/fine-tune large language systems to suit your specific needs, proving they perform optimally in your domain. This customization helps in delivering more relevant and precise results.
Sentiment analysis is a way of using natural language processing and machine learning to interpret the emotional tone behind written or spoken text (e.g., telling if a comment is happy, angry, or just stating facts). Our solutions are equipped to perform sentiment analysis, giving you deep insights into customer opinions and market trends.
We develop LLM solutions that can perform new tasks using just a few examples, thereby reducing the need for extensive labeled datasets. This approach accelerates implementation, lowers development costs, and enables faster adaptation to changing business requirements.
Our expertise in in-context learning allows LLMs to perform tasks using instructions and examples contained directly within the prompt, without the need for additional model fine-tuning. Such an approach enables flexible and affordable customization for a wide range of business use cases.
We employ transfer learning to create specialized language models by adapting pre-trained LLMs to your unique data. This approach significantly reduces training time and costs and enhances the model's accuracy, relevance, and overall effectiveness.
We make use of cloud computing to provide scalable and affordable development solutions, guaranteeing your models are always up-to-date, secure, and easily accessible for your team. This helps develop and experiment with different models very quickly.
Business Benefits
Large language models do more than automate repetitive tasks. They transform how organizations operate, interact with customers, and make decisions.
Boosted Efficiency
By integrating large language models into your workflows, you can automate a wide range of tasks, from data entry to audio analysis, thereby accelerating their execution and boosting productivity.
Better Customer Experience
LLM-powered chatbots can help you personalize support, detect friction points, and gather customer feedback, creating more personalized and adjusted experiences 24/7.
Cost Optimization
By using language models in your business and domain-specific operations, you can reduce operational costs, detect potential compliance and security risks, and minimize human error.
Revenue Growth
With LLMs, you can create engaging digital content that reduces bounce rates, attracts more leads, and improves customer retention.
Smarter Decisions
By using LLMs, businesses can make smarter decisions, extract insights, spot risks, and uncover opportunities across the data records.
Competitive Advantage
By deploying LLMs, you can differentiate your offerings, respond to market changes faster, and build a stronger competitive advantage.
Get the Most Out of Large Language Models
Whether you're looking to automate workflows, build intelligent AI assistants, or create industry-specific LLM solutions, our experts can help you turn your vision into a scalable, high-performing product.
Business Applications of LLMs
LLMs can be applied across virtually every industry and business function, helping organizations automate repetitive tasks, improve decision-making, and deliver more personalized experiences.
Customer Support Automation
LLM-powered customer support solutions enable more personalized interactions by handling common inquiries, providing relevant responses, and assisting support teams with complex requests.
Enterprise Knowledge Assistants
Enterprise knowledge assistants provide employees with quick and accurate access to internal information, documentation, and company resources. By connecting with organizational knowledge bases, these solutions simplify information retrieval, improve collaboration, and increase workplace productivity.
Document Processing and Summarization
LLM-based document processing solutions automate the analysis, classification, and summarization of large volumes of business content, including reports, contracts, and correspondence. They help organizations save time, reduce manual effort, and extract meaningful insights from unstructured data.
Internal Workflow Automation
LLM development supports the automation of repetitive internal processes, including content preparation, data organization, reporting, and administrative tasks. By integrating AI into existing workflows, businesses can improve efficiency and allow employees to focus on more strategic activities.
Content Analysis & Generation
LLM solutions enable advanced content creation, analysis, and optimization across marketing, communications, research, and knowledge management. They help generate relevant materials, identify patterns in large text datasets, and support more data-driven content strategies.
Code Documentation & Developer Support
LLM-powered development tools assist software teams with code documentation, technical explanations, debugging support, and knowledge sharing. These solutions help accelerate development processes, improve code quality, and make complex technical information easier to understand.
Rich Expertise Across Diverse AI Models
Our AI development expertise covers a broad range of advanced models and techniques, allowing us to select and customize the right approach for each business challenge.
Why Choose SCAND as a Large Language Model Development Company
When you choose SCAND as your LLM development company, you're getting more than just technology. Here’s why we’re the right choice:
- 1
Experienced LLM Development Team
Our LLM developers know AI inside and out. We’ve worked on many projects, so we understand how to build and use software to get the best results for your real business goals.
- 2
Secure Data Handling
We protect sensitive information through secure processing, role-based access controls, encryption, and privacy-focused architectures. Our team has experience developing AI solutions that align with compliance standards such as HIPAA, GDPR, SEC, and other industry regulations.
- 3
Seamless Integration with Existing Systems
Our LLM solutions integrate smoothly with your existing software, APIs, databases, and workflows, minimizing disruption and accelerating adoption. This allows you to start realizing business value with minimal changes to your current infrastructure.
- 4
Production-Ready MLOps and Support
We manage the entire LLM lifecycle, from deployment and monitoring to optimization, scaling, and ongoing support, ensuring the stable and efficient operation of your solution. Our team is ready to promptly resolve any issues that arise.
Our LLM Development Process
Making an LLM always involves taking care of many sides, technical as well as non-technical. In order to get the confusion out of development and make it way more understandable for our clients, we’ve laid the process out like this:
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2. Data Preparation & Collection
Next, we help gather and prep the right data, be it internal documents, chat logs, product details, or anything else. Clean, well-organized data makes all the difference in how smart and useful your model finally turns out. Usually it takes the majority of time.
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3. Model Architecture
This is the most complicated but essential phase. We either tune a high-level model or train one outright, depending on your circumstances. Whatever your choice, however, we will strive as hard as we can to get it dialed into your tone, your niche, and your audience.
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4. Testing & Hyperparameter Tweaking
After that, we take your model and test it against actual scenarios. If something doesn’t satisfy us, we refine it and demonstrate that the LLM puts out adequate results.
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5. Model Training, Deploying & Supporting
Once the model is fully optimized, we move to the training and deployment stage, integrating the LLM into your existing infrastructure or application environment. After launch, we continue to monitor performance and provide improvements.
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1. Goal Decomposition
We begin by discovering what you try to achieve. We discuss your ideas, figure out what kind of model you'll need, work out the best tools and approach, and form all this information into a doable plan.
Built by Experts. Accelerated by AI.
We can enhance your solutions with AI tools where they bring real value or leave development completely traditional.
Our Tech Stack for LLM Development Services
We employ a wide range of tools and platforms to develop and maintain our algorithms. The tools in our toolkit include the following innovative technologies and frameworks:
Frameworks and Libraries
- TensorFlow
- PyTorch
- Keras
- Hugging Face Transformers
- Unsloth
- Pandas
- NumPy
Cloud Platforms
- Amazon Web Services (AWS)
- Google Cloud Platform (GCP)
- Microsoft Azure
- RunPod
- Vast.ai
- Cloudflare
Data Management Tools
- Apache Hadoop
- Apache Spark
- Dask
Collaboration and Software Development Tools
- GitHub
- GitLab
- Jupyter Notebooks
Deployment Solutions
- Docker
- Kubernetes
- AWS Lambda
- Vercel
Monitoring and Logging Tools
- Prometheus
- Grafana
- ELK Stack (Elasticsearch, Logstash, Kibana)
- AWS Cloudwatch
- Sentry
Security Tools
- HashiCorp Vault
- AWS Secrets Manager
- Azure Key Vault
Trusted Software Development Company
For over 25 years, SCAND has been delivering secure, high-load software solutions for startups, SMBs, and global enterprises (including NASA, IBM, Cisco, FedEx, Bank of America, Siemens, and others). Our dedicated development teams support clients at every stage of the software development process — from idea and consulting to maintenance and support, including Copilot for Microsoft 365 consulting services, to maintenance and support.
Our Industry Focus
LLM development is different across sectors because each field has its own vocabulary, types of data, limitations, and user demands, for example, legal terminologies in law or patient anonymity in healthcare. At SCAND, we always develop solutions taking into account the customer’s industry, namely:
In entertainment & media, we apply LLMs to speed up content creation by automating tasks like script writing and video editing. Our technology also helps engage with audiences better through personalized recommendations and interactive content.
For education, we can create smart tutoring systems that learn individual students' needs and make complicated subjects easy. Our engineers can automate grading and scheduling, freeing up time for educators to focus on what they do best.
In marketing & advertising, we build smart tools that allow marketing campaigns to be tuned by learning from customer feedback and improving on what works. We also automate the creation of content and help with delivering messages that actually matter to your customers.
In healthcare, we create virtual assistants and chatbots that could give patients quick responses and support. We also develop software products that make it easy to analyze medical data and speed up research and findings.
Manufacturing
We help manufacturers get ahead by knowing when the machines need maintenance and detecting defects before they can become severe problems. Our solutions also make supply chain planning easier by predicting demand and managing inventory.
Supply Chain Management
We make logistics smarter by helping you plan better routes and delivery schedules, both time- and money-saving. Our forecasting solutions also help you manage your inventory more conveniently without overstocking or being out of stock.
We augment online shopping with AI technology to recommend the right products, enforce live price checks, and respond to customer inquiries or orders through automation.
In logistics & transportation, we develop software to improve route planning and scheduling and make deliveries more rational. Our customized tracking systems provide real-time updates on shipments, keeping you and your customers informed.
Enterprise
For business clients, we produce smart tools that could speed up and automate any routine operation, such as document handling, reporting, and data analysis. The result? Smarter decisions and more reasonable effort distribution.
In fintech, we develop smart financial services for automated planning and investment advice adjusted to each client. Plus, our fraud detection tools analyze transactions to spot and prevent fraud.
Oil & Gas
In oil & gas, we use LLMs to improve exploration and production by analyzing geological records to find resources and refine extraction methods. We also make tools to improve safety measures by predicting potential issues to reduce downtime.
For the energy sector, we produce software solutions to inspect energy usage patterns, optimize consumption, and slash costs. Our algorithms also help with resource planning and management, and use predictive maintenance to extend the life of equipment and bypass failures.
Flexible Engagement Models to Fit Your Needs
We offer different engagement models to suit your unique requirements, whether you require a one-off project, ongoing support, or something in the middle. Our agile approach proves you receive the best fit for your business requirements.
For well-defined projects with clear requirements and timelines, our project-based engagement model ensures that we deliver results within agreed-upon parameters. You'll have full control over the project scope, budget, and timeline.
Sometimes, you may require additional expertise to complement your in-house team. Our outstaffing model allows you to tap into our pool of skilled developers and resources and get the flexibility to scale up or down as you need.
For long-term projects or ongoing development needs, our dedicated team model is the perfect choice. You get a team of committed professionals exclusively focused on your project, ensuring continuity and in-depth understanding of your goals.
Latest Reviews from Our Clients
Sr. Account Director Mid-Market
Coupa Deutschland GmbH
It was a great experience working with SCAND on e-Procurement projects during my time at OpusCapita. The team was professional and competent. Keep up the great work!
Managing Director
prodexa GmbH
The SCAND team has been an incredibly reliable and skilled development partner for jCatalog for many years, consistently delivering high-quality services with a proactive approach.
Product Manager
jCatalog Software AG (or OpusCapita GmbH)
Over the years of working together, the SCAND team has always been a reliable pillar of support for me. Along the way, we’ve built not only a strong professional relationship but also meaningful personal connections. It has truly been a pleasure collaborating with you.
Outsourcing Manager at Owlcat Games
Working with SCAND on customizing SourceGit was a genuinely positive experience. Their team was responsive, collaborative, and easy to work with throughout the project. We value their cooperative approach and would confidently recommend them as a reliable development partner.
Managing Product Owner at GIPmbh
We have been working with SCAND on the development of a custom Outlook Add-In that converts documents directly from Outlook and transfers them seamlessly into our software platform. We highly recommend them to anyone looking for a skilled and dependable software development team...
Chief Technology Officer
Wiztech Group
Great work on our products — web applications in the gaming domain. The SCAND software developers worked highly professionally and made valuable contributions to the successful implementation of every project they were involved in.
Sales & Marketing Manager, Smartstaff AS
Throughout our long-standing collaboration, the team has consistently delivered high-quality service. Over time, we’ve developed a strong and genuinely friendly working relationship, which has positively influenced the outcomes of our joint efforts.
Founder of TreeNinjaAI
What might have taken 18 months was completed in about 6, with SCAND contributing for 3.5 months. Despite my non-engineering background, their support and modern AI capabilities enabled us to build unique features and integrations in a single application.
Our Recent AI Cases
Discover how we’ve helped various businesses achieve their goals with our solutions. Our success stories showcase the impact of our work and demonstrate how our expertise has impacted different fields.
- LLM
- Python
- H100-powered GPU
- AI Chatbot
- Python
- AI
- LLM
- Node.js
- AI
- QA
- Backend
- React
- LLM
- PWA
- RAG
- LangChain
- Ollama
FAQ
