LLM Engineering Services
We design, build, and deploy highly secure LLM architectures that automate complex workflows and drive measurable business impact.
300+ Glowing 5-Star Reviews
While LLM adoption is accelerating, enterprises face critical challenges in building reliable, scalable, and production-ready systems.
Outcome You Need:Context-aware, reliable AI systems with accurate, grounded outputs.
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Outcome You Need:Autonomous AI agents that reason, plan, and execute complex workflows.
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Outcome You Need:Scalable, production-ready LLM systems that maintain speed and efficiency.
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Outcome You Need:Fully governed, continuously improving LLM systems.
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We design and build production-grade LLM systems, AI agents, and RAG architectures, enabling enterprises to move from experimentation to real-world execution.
We build RAG pipelines that connect LLMs with your internal knowledge, ensuring responses are grounded, accurate, and context-aware.
We design intelligent agents capable of reasoning, decision-making, and executing multi-step workflows across your systems, individually or in coordinated multi-agent environments.
We build LLM-powered applications, copilots, and assistants tailored to your business use cases, from internal productivity tools to customer-facing experiences.
We adapt models using your domain data, workflows, and terminology to improve relevance and performance without the cost of full-scale model training.
We implement LLM systems across cloud, VPC, or on-prem environments with strong access control, data isolation, and compliance frameworks.
We design and optimize vector database architectures that power semantic search and RAG systems, ensuring low latency and high relevance at scale.
We design structured prompt frameworks, response patterns, and guardrails to enhance output quality and reduce variability in production environments.
We orchestrate LLMs, APIs, tools, and enterprise systems into structured workflows, enabling seamless automation across business functions.
We implement monitoring, evaluation, and optimization frameworks to track performance, control costs, and continuously improve output quality.
Technology Stack : Python, Pandas, NumPy, Scikit-learn, XGBoost, CTGAN, AWS S3 (via Boto3), Custom logging, Matplotlib
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Technology Stack : Node.js, Vue.js, Socket.IO, React, JavaScript, jQuery, MySQL, AWS, Stripe
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Technology Stack : Python, Orthanc, MySQL, AWS S3, React, Node
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Technology Stack : Python, LangChain, Neo4j, FastAPI
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Technology Stack : Laravel, Humantics AI, Vanilla.js, JavaScript, HTML, Tailwind CSS, Chart.js, MySQL, Twilio, AWS
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Technology Stack : React.js, Laravel, Bootstrap, jQuery, Travis CI, MySQL, Stripe, AWS
Learn MoreA structured, outcome-driven approach to designing, building, and scaling LLM systems, ensuring accuracy, reliability, and real business impact.
We work closely with your stakeholders to identify high-impact LLM use cases aligned with business goals. This ensures the solution is not just technically feasible but also delivers measurable value from the outset.
We design your vector database architecture and data pipelines to enable effective knowledge retrieval. This step ensures your LLM systems are grounded in accurate, domain-specific data for reliable outputs.
We build advanced retrieval-augmented generation systems that combine LLM capabilities with real-time data retrieval. This ensures context-aware responses, improved accuracy, and reduced hallucinations.
As an AI agent development company, we develop intelligent agents capable of executing tasks and interacting with systems. These agents are integrated into workflows to automate processes and drive operational efficiency.
We deploy LLM systems in secure, scalable environments and optimize performance for real-world usage. This includes latency reduction, cost optimization, and ensuring consistent output quality at scale.
We implement LLM monitoring and maintenance frameworks to track performance, evaluate outputs, and ensure system reliability. Continuous optimization ensures your LLM systems evolve with your business needs.
Our LLM engineers combine deep expertise in AI agents, RAG systems, and enterprise-scale architecture, building production-ready LLM systems that are accurate, scalable, and secure.
We design robust LLM architectures that support scalability, performance, and real-world usage. Our systems are built to handle enterprise workloads, ensuring reliability, flexibility, and seamless evolution as your business grows.
We build advanced retrieval-augmented generation systems using optimized vector database architecture (Pinecone, Weaviate, FAISS). This ensures context-aware, accurate outputs grounded in your enterprise data.
We specialize in AI agent development services, leveraging frameworks like LangGraph, AutoGen, and CrewAI to build autonomous systems capable of reasoning, planning, and executing multi-step workflows.
We build production-grade LLM applications using LangChain, LlamaIndex, and Semantic Kernel, enabling seamless orchestration between models, tools, APIs, and enterprise systems.
We implement LLM monitoring and maintenance frameworks using tools like LangSmith, MLflow, and Weights & Biases. This ensures continuous evaluation, cost optimization, and reliable system performance.
We deploy LLM systems across secure environments (cloud, VPC, and on-prem) with strong governance, access control, and compliance frameworks, ensuring enterprise-grade reliability and data protection.
We use a modern, production-ready stack to build scalable LLM systems, AI agents, and RAG architectures aligned with enterprise requirements.
LLM systems, AI agents, and RAG-driven applications designed to automate decisions, enhance productivity, and deliver measurable business outcomes across industries.
Secure, context-aware LLM systems embedded into financial workflows to improve decision-making and compliance.
LLM systems enabling faster access to clinical insights, patient data, and research knowledge.
AI-driven systems enhancing customer experience, personalization, and operational efficiency.
LLM systems improving visibility, coordination, and decision-making across supply chain networks.
AI-powered systems integrated into operations to enhance productivity and reduce downtime.
LLM-powered features embedded into platforms to improve usability and customer experience.
LLM systems streamlining property discovery, documentation, and customer interactions.
AI-driven systems supporting content creation, personalization, and audience engagement.
LLM systems enhancing learning experiences and automating academic processes.
Choose the right model based on your AI goals, whether you need clarity, full execution, or rapid scale.
Define the right architecture, use cases, and roadmap for LLM adoption.
We design, build, and deploy complete LLM systems and AI agents.
Scale faster with expert LLM engineers working alongside your team.
Beyond our core LLM Engineering services, Capital Numbers provides a comprehensive suite of services to support end-to-end AI adoption, execution, and scaling.
97 out of 100 Clients Have Given Us a Five Star Rating on Google & Clutch
We deliver production-grade LLM systems, AI agents, and RAG architectures, designed for accuracy, scalability, and real business execution.
We go beyond basic LLM implementations to engineer intelligent systems capable of reasoning, execution, and workflow automation. Our expertise in ai agent development services ensures solutions that operate effectively in real-world business environments.
We design advanced retrieval augmented generation systems supported by optimized vector database architecture, ensuring outputs are accurate, context-aware, and grounded in enterprise data rather than generic responses.
Our focus is on building scalable, high-performance systems that function reliably in production. From architecture to deployment, every solution is engineered to handle enterprise workloads and real user interactions.
We manage the complete lifecycle—from use case definition and system design to deployment and llm monitoring and maintenance. This ensures continuous optimization, performance stability, and long-term scalability.
We implement secure deployment strategies across cloud, VPC, and on-prem environments with strong governance frameworks. This ensures compliance, data protection, and controlled AI behavior at scale.
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Got any queries? Our FAQ section has all the answers you need to make an informed decision with confidence
We implement retrieval-augmented generation systems with optimized vector databases to ground outputs in enterprise data. This ensures responses are accurate, consistent, and aligned with real business context.
Yes, we specialize in AI agent development services that enable reasoning, task execution, and system interaction. These agents are designed to automate workflows across enterprise applications.
We design LLM architectures that seamlessly integrate with CRMs, ERPs, APIs, and internal systems. This ensures AI becomes part of your workflows, not a standalone layer.
We build scalable architectures with optimized orchestration, caching, and deployment strategies. This ensures consistent performance and reliability as usage grows.
We combine RAG pipelines, prompt optimization, and evaluation frameworks to minimize hallucinations. Continuous monitoring ensures outputs remain accurate and reliable over time.
Yes, we support private, VPC, and on-prem deployments with enterprise-grade security controls. This ensures data privacy, compliance, and controlled AI behavior.
We implement LLM monitoring and maintenance frameworks to track performance, cost, and output quality. This enables continuous improvement and long-term system reliability.
We adopt a hybrid approach, fine-tuning where needed and leveraging APIs for efficiency. This ensures optimal performance, cost control, and faster deployment.
We have delivered LLM systems across BFSI, healthcare, retail, logistics, and SaaS platforms. Each solution is tailored to industry-specific workflows and business challenges.
We design flexible architectures and implement lifecycle management practices from the start. This allows systems to evolve with changing data, use cases, and business needs.
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OpenAI (GPT-5, o3)
Anthropic Claude 4 (Opus & Sonnet)
Google Gemini 3
Meta LLaMA 4 (Scout & Maverick)
Mistral
Pinecone
Milvus
Weaviate
Qdrant
Langchain
LlamaIndex
Semantic Kernel
Langgraph
CrewAI
Microsoft AutoGen
LangSmith
MLflow
Weights & Biases
Arize AI
AWS Bedrock
Microsoft Azure AI
Google Cloud Vertex
Hugging Face
VLLM
