AI DEVELOPMENT & DATA SCIENCE CONSULTING

Build & Train LLMs using expert Data Scientists team

 
 
WE OFFER

Data Science Consulting Services / Artificial Intelligence Consulting Services

Data is the real asset for any business which can decide the future of an organization. Unleash the true potential of data by using best Data Science consulting company. DataFram has expert Machine Learning consultants who build complex LLMs which can be used to achieve business goals. Be it Agentic AI solution development or Tuning existing LLMs, our tailored AI consulting services make this happen. Our specialization lies in providing customer AI model development services and processing cost optimization. We quickly build AI POCs & Models which help companies to scale it as per specific business requirements.

Exploratory Data Analysis (EDA)

Understand primary characteristics of a data set to enrich its full potential and get meaningful graphs, charts and other patterns.

Predictive Analysis

With frequent shifts in market & client sentiments, it becomes important to be prepared for future needs using Predictive analysis.

ML Models Creation

Get custom machine learning models using complex analytics & algorithms to scale multiple business variables and outcomes.

AI Agent Development

Build AI agents which can perform various tasks while learning on its own to reduce human dependencies, cost and time.
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Services

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    Why DataFram for Agentic AI Development?

    Expert-Led Cloud & DevOps Services

    At DataFram, we help businesses streamline their cloud infrastructure and DevOps processes with cutting-edge solutions. From seamless cloud migrations to automated CI/CD pipelines and robust security frameworks, our expertise ensures efficiency, reliability, and growth.

    Experience on Agentic AI architecture and tools.

    Quick prototyping and implementations.

    End to end Data Engineering expertise.

    Frequently Asked Questions

    Everything You Need to Know

    Can we train ML models using cloud solutions?

    It’s advisable to use cloud platforms to train Machine Learning models until you have cost effective
    storage & processing arrangement on your own. You can use Azure machine leaning, Amazon
    machine learning or Google Machine learning engines. There are also several other cloud tools
    available to train ML models.

    What do you include in Data Science Consulting Services?

    Our Data Science consulting services and Machine Learning consulting services include vast range of
    offerings and are not limited to just data analysis and implementing LLMs. Few of the key offerings
    are getting unstructured data from various sources, storing data in meaningful & cost-effective ways,
    processing data as per various use cases, analysing data, building models, training AI models and
    improvements.

    What are the common Natural Language Processing (NLP) tools do you use?

    The choice of tools depends on variety of factors like data volume, industry, complexity, purpose,
    budget etc. Few of the commonly used NLP tools are MonkeyLearn, spaCY, Stanford CoreNLP,
    MindMeld, Amazon Comprehend, OpenAI, IBM Watson, Gensim, PyTorch, FireEye Helix etc.

    Do you have real experience in providing AI Agent development services?

    Certainly Yes, we have developed a couple of Agentic AI solutions like SRE AI Agent, Security &
    Compliances AI Agent, Customer Support AI Agent, Payment & KYC AI Agent, Cloud monitoring & optimization AI Agents, Auto Invoicing and account receivable AI Agents, AI Agent recruiter,
    Appointment booking AI Agent etc.

    How do you ensure security & compliances?

    DataFram has been managing data for multiple large and regulated organizations so we fully
    understand the importance of security and compliances. We have a dedicated team which not only
    manages security and compliances but also provides Data security and compliances as standalone
    service.

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    Expert Insights & Tech Trends

    Stay ahead with expert insights, industry trends, and practical tips in data engineering, software development, and technology innovation.