Custom LLM Development for Secure, Scalable, Enterprise-Grade AI
Build high-performance Large Language Models tailored to your industry, data, and workflows designed for accuracy, security, governance, and real-world impact.
Our Clients
Deploy Faster with Our Large Language Model Development Services
Ship scalable AI features at speed while reducing operational overheads. We work with the latest and greatest in LLMs.
Tailored LLM Development Services For Your Business
Purpose-built services to help you design, build, deploy, and scale enterprise-grade LLM systems with complete security, governance, and real-world performance.
LLM Strategy & Architecture
Design a roadmap tailored to your business goals, compliance needs, and infrastructure.
We define the right model family, deployment approach (cloud, VPC, on-prem), data pipeline, and governance layer to ensure long-term scalability and ROI.
Custom LLM Development
Build domain-trained Large Language Models from the ground up using your proprietary data, workflows, and industry-specific terminology. Engineered for accuracy, policy alignment, and enterprise-grade reliability.
LLM Fine-Tuning & Domain Training
Enhance existing models Llama, Mistral, GPT, Claude, and Qwen using PEFT, LoRA, QLoRA, or full fine-tuning. Achieve higher task accuracy, better compliance, and safer model behavior with training customized to your domain.
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LLM-Powered Agents & Workflows
Develop autonomous enterprise agents capable of reasoning, retrieving internal knowledge, completing tasks, updating systems, and driving workflows across ERP, CRM, EHR, and internal tools.
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LLMOps, Monitoring & Governance
Implement enterprise-grade monitoring, evaluation frameworks, guardrails, safety filters, versioning, drift detection, and continuous improvement pipelines.
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Enterprise Integration
Seamlessly integrate LLMs into your existing ecosystem ERPs, CRMs, EMRs/EHRs, data warehouses, SaaS tools, intranets, support systems, and custom applications.
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Predictive Analytics
Forecast future outcomes and trends by analyzing vast datasets and identifying patterns, enabling informed decision-making and strategic planning
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Staff Augmentation Services
Recruit flexible and cost-effective talent on demand. Handpick AI experts to scale projects quickly.
Supercharge Your Products with Enterprise LLM Capabilities
Enhance your platform with intelligent, domain-trained LLM features that elevate user experience, automate complex workflows, and unlock new levels of engagement. Folio3 helps you harness the full power of Large Language Models securely and grounded in your proprietary data.
Off-the-Shelf vs. Custom LLMs
Choose the approach that fits your business. We help you evaluate, integrate, or fine-tune pre-trained models—or build fully custom LLMs tailored to your workflows, compliance needs, and domain knowledge.
LLM-Driven Product Development
Bring next-generation capabilities to your platform. From intelligent assistants and natural language search to automated content generation and contextual recommendations, we build LLM-powered features aligned with your product vision.
Leverage Your Proprietary Data
Bring next-generation capabilities to your platform. Our LLMs connect to your real-time business data documents, catalogs, customer history, operational logs to deliver precise, personalized, context-aware responses every time.
Minimize Hallucinations with Domain Training
By training and grounding models on your internal knowledge base, policies, and terminology, we significantly reduce hallucinations and ensure responses stay consistent, compliant, and reliable.
Our Large Language Model Deployment Options
We offer flexible deployment options tailored to your business needs to maximize your agility and keep your proprietary data secure.
On-Premise
Keep tighter controls on your data and maximize security by deploying LLMs on-premise.
Cloud-based
Maximize availability with cloud-based deployment to ensure service availability.
APIs
Integrate directly with APIs to deploy fast and roll out advanced features directly into your products.
Advanced AI models that are integrated into various business functions
GPT (OpenAI)
The latest GPT model provides industry-leading accuracy, reasoning, multilingual support, and enterprise-grade performance. Ideal for content generation, CX automation, internal assistants, and complex workflow execution.
Claude (Anthropic)
Claude offers safe, long-context, high-reasoning capabilities perfect for enterprise support, documentation automation, and knowledge-intensive tasks. Excellent for highly controlled, compliant environments.
Gemini (Google)
Google’s newest model, optimized for multimodal tasks (text, vision, code). Ideal for summarization, translation, analytics, image-grounded reasoning, and full-stack enterprise AI workflows.
Mistral Large / Mistral NeMo (Mistral AI)
Modern open-weight models optimized for efficiency and high-precision tasks such as financial analysis, technical support, and reasoning-heavy workflows excellent for cost-effective enterprise deployments
LLaMA 3 (Meta)
The latest LLaMA 3 is an open-weight model delivering strong performance at a lower cost. Perfect for private deployments, custom fine-tuning, and domain-specific AI use cases in regulated or sensitive industries.
DeepSeek (DeepSeek AI)
A rising enterprise favorite due to performance and cost efficiency. Excellent for code interpretation, reasoning, automation, and engineering workflows.
Qwen
Strong multilingual capabilities, robust reasoning, and enterprise-friendly licensing. Excellent for large-scale deployments across global teams, especially in APAC or multi-language environments.
Why Choose Folio3?
Highly Customizable
Leading enterprises trust us for Generative AI built to overcome complexity, improve efficiency, and drive scalable impact.
22+ Years of Experience
With over 22+ years of expertise in AI-driven sports analytics, we understand the game’s nuances and provide solutions tailored to your needs.
AI-Powered Computer Vision Models
Our AI-driven platform ensures seamless in-house data processing, offering reliable and precise analytics without third-party dependencies.
1000+ Enterprise-Level Clients
Our solutions are built to be ready to scale as your enterprise grows larger. Join a network of elite teams and organizations that trust Folio3 AI for cutting-edge video analysis.
Frequently Asked Questions
What is custom LLM development?
Custom LLM development involves designing, training, and deploying Large Language Models tailored to your industry, workflows, and proprietary data.
Instead of relying on generic, one-size-fits-all models, a custom LLM understands your terminology, follows your policies, and delivers outputs aligned with your compliance, tone, and business logic.
What types of models do you support?
We support all major commercial and open-source LLMs, including:
1- GPT-4.1 & o-series, Claude 3.5, Gemini
2- Llama 3/3.1, Mistral, Qwen, DeepSeek, Falcon, Phi
And fully custom OSS deployments. We select the model based on accuracy, compliance, latency, scalability, and your infrastructure preferences.
Can you deploy LLMs on-prem?
Yes. We support fully private on-prem deployments, including GPU clusters, VPC-isolated environments, and air-gapped setups for organizations with strict security and compliance requirements.
What is included in LLMOps?
LLMOps covers everything required to manage an LLM after launch, monitoring, safety, accuracy checks, versioning, governance, and continuous improvements, ensuring your system stays reliable, compliant, and high-performing over time.
How long does an LLM development project take, and what does the process look like?
Most LLM projects take 6–12 weeks, depending on complexity.
Our standard process includes:
1- Strategy & architecture
2- Data collection, cleansing, and preparation
3- Model selection & fine-tuning
4- Evaluation, safety, and compliance checks
5- Deployment (cloud, VPC, on-prem)
6- Monitoring, MLOps & optimization
We can accelerate timelines using existing accelerators, domain starter models, and prebuilt pipelines.
Which LLMs, frameworks, and infrastructure do you support?
We work across all major LLM families and infra stacks, including:
1- Models: GPT-4.1, Claude 3.5, Gemini, Llama 3/3.1, Mistral, Qwen, DeepSeek, Falcon, Phi
2- Frameworks: PyTorch, Transformers, vLLM, DeepSpeed, PEFT, LoRA/QLoRA
3- Orchestration: LangChain, LlamaIndex, custom agent frameworks
4- Infra: AWS, Azure, GCP, private cloud, Kubernetes, on-prem GPU clusters
We recommend the stack based on performance, compliance, cost, and your internal requirements.
Can you integrate LLMs with our existing systems (ERP, CRM, EHR, databases)?
Yes. We integrate LLMs with major enterprise platforms such as SAP, Salesforce, Oracle, NetSuite, EHR/EMR systems, and your internal apps or databases. Integration is a standard part of our delivery process.
How do you monitor, evaluate, and improve LLM performance after launch?
We implement complete LLMOps, including:
1- Continuous evaluation using test suites and human review
2- Drift detection and quality monitoring
3- Guardrail enforcement & safety filters
4- Feedback loops for improvements
5- Versioning, rollback, and audit trails
6- Scheduled re-training & dataset updates
This ensures your LLM remains accurate, compliant, and aligned with your evolving business.
Can you build LLM agents or RAG-based copilots as part of the solution?
Yes. We develop:
1- Task-oriented agents (processing, updating systems, triggering workflows)
2- Knowledge copilots powered by RAG for accurate, real-time answers
3- Support bots trained on your policies and documentation
4- Operational copilots for research, reporting, troubleshooting, and decision support
These agents can run inside your secure environment and integrate directly with your business systems.
What ROI can we expect?
Enterprises typically see measurable ROI within weeks. Custom LLMs reduce manual work, improve accuracy, lower operational costs, and significantly speed up decision-making. Actual ROI depends on your specific workflows and the scale of deployment.
