Contact Us
+990 123 456 789 info@dataxworks.com

Move Beyond AI Experimentation

5 +

Enterprise AI platforms integrated

10 +

LLM ecosystems supported

75 %

Reduction in AI hallucination risks via VICE framework validation

20 +

Enterprise AI use cases enabled

Dataxwork's

LLM Expertise across every Enterprise AI Initiative

LLM Strategy & Architecture Consulting

DataXWorks defines scalable AI architectures aligned to organizational goals using platforms such as Databricks, Snowflake, Azure, AWS and Google Vertex AI.

Model Evaluation & Output Validation

Establish structured evaluation frameworks using LangSmith, DeepEval and OpenAI Evals to measure accuracy, relevance, consistency and hallucination rates.

Foundation Model Selection & Optimization

Benchmark and optimize proprietary and open source models, including OpenAI, Claude, Gemini, Llama, Hugging Face etc., to identify the best fit for performance, governance and cost.

Continuous Learning & Model Improvement

Implement prompt optimization, fine tuning and feedback driven improvements.

RAG & Enterprise Knowledge Integration

Design Retrieval Augmented Generation (RAG) solutions using LangChain, LangGraph to connect foundation models with enterprise data, documentation and knowledge repositories.

AI Governance, Audit & Risk Management

Build governance frameworks with Databricks Unity Catalog, Snowflake Cortex AI, LangSmith and AWS Bedrock Guardrails to support transparency and responsible AI adoption.

Phase 1

LLM Strategy & Architecture Establishment

We assess business objectives, data readiness and regulatory requirements to determine the optimal LLMs, architectures and implementation strategies that align with your enterprise goals.

Phase 2

LLM Development & Enterprise Integration

We build LLM powered AI capabilities tailored to your business. We support LLM selection, RAG implementation, prompt engineering and agent development designed to maximize performance while controlling cost and complexity.

Phase 3

LLM Output Validation & Quality Assurance

Reliable LLM applications require trusted outputs. We establish robust validation frameworks that assess factual accuracy, relevance and consistency through automated evaluation and HITL review processes to detect hallucinations and maintain output quality.

Phase 4

LLM Governance, Monitoring & Continuous Optimization

LLM systems must continuously evolve with changing business needs. We implement audit frameworks, performance monitoring and feedback loops that ensure long term AI reliability.

Frequently asked questions

Successful AI adoption depends on selecting the right architecture, model strategy, governance framework and deployment approach. The Large language Model consulting phase reduces implementation risk, cost and time.

No, organizations across all levels of business maturity can benefit from implementing a Large Language Model framework in their system.

The answer depends on your data assets, industry requirements, intellectual property considerations, compliance obligations and performance objectives. We help determine the most effective path for your business.

We assess models using structured evaluation frameworks covering accuracy, factuality, relevance, hallucination rates, safety, bias and business specific success metrics to evaluate Large Language Models.

Yes, our Large Language Model frameworks align with enterprise governance requirements and support industries where compliance and risk management are critical.
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Start With Data That's Built to Perform

Connect with our LLM expert to discuss your business goals, model requirements and roadmap for building an enterprise ready LLM solution.

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