Generative AI Consulting and AI Development Services
generative ai . nlp and machine learning . data strategy
Experiment, innovate, and deploy Generative AI solutions tailored to your company. Put Large Language Models (LLMs) to work to automate business processes and enable users to use plain language to query your data.
Explore how AI can help your company to save time and increase productivity
When should you hire an internal team to develop AI solutions?
You should consider hiring a team of AI specialists after you have made progress through 5 key phases. These phases include:
- 1Identifying and prioritizing use cases (business problems you want to solve)
- 2Developing proof of concept projects and AI prototypes
- 3Assessing the success of the early projects
- 4Piloting one or more potential solutions with internal partners
- 5
Designing and testing repeatable business processes and data pipelines
What does a Generative AI consultant do?
As generative AI consultants, we use our experience in machine learning to develop business solutions that use large language models like ChatGPT, Claude, and LLaMA. We ensure AI solutions are developed responsibly and address real business challenges.
Image source: Generated by Midjourney AI
Why consider us for Generative AI consulting services?
Our team can be an extension of your team, particularly in the early stages. We work on an as-needed basis; you control the cadence and have the flexibility to move at a pace that is right for you. Working together, you will gain the opportunity to experiment, iterate, and engage internal stakeholders in the assessment of prototypes.
We stay on top of the latest developments in models, machine learning, and deployment techniques. An outside-in perspective, gained from years of experience in creating machine learning, NLP, and AI contributes unbiased perspective.
Top reasons why organizations will adopt generative AI?
1
Generative AI for Industry 4.0
Apply AI and Machine Learning to Work Orders, Computerized Maintenance Management Systems, and Internal Documentation
You may never have thought of your company’s internal documentation as a source of data for analysis. However, AI, NLP, and machine learning techniques can be used to help automate the processing of these documents for insights, anomaly detection, and operational efficiency.
Work orders often contain valuable, but unstructured text data. What can you learn from work orders?
Automated Categorization: AI can help automatically classify or categorize work orders based on the description of the problem or request. This can help route the work order to the right team or personnel, improving efficiency.
Trend Analysis: By analyzing the language used in work orders, AI can help identify trends, root causes, or recurring problems, assisting in problem-solving and decision-making.
Predictive Maintenance: By processing work order data alongside other sources of information, AI can help detect patterns that predict future maintenance needs, enabling preventive action.
Anomaly Detection: By understanding the normal language pattern of work orders, AI can flag unusual or suspicious requests for further investigation.
In the era of Industry 4.0, operating and equipment logs are increasingly being automated and digitized. Our generative AI development services can help you with real-time monitoring and analysis, predictive maintenance, and more efficient operations.
15+ YEARS EXPERIENCE IN AI CONSULTING FOR
TECH, INDUSTRIAL COMPANIES, UTILITIES & MORE
TECH, INDUSTRIAL COMPANIES, UTILITIES & MORE