Development

in-house ai built for you:

Websites

back-end process integrations

iot Integrations

Common use cases for generative ai & ML

Content creation

1. Generate creative content, such as product designs or marketing materials.
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2. Use ML (Machine Learning) algorithms to analyze customer engagement and feedback data to optimize your generated content for better performance.

personalization

1. Analyze customer behavior and preferences with ML algorithms to provide personalized recommendations.

2. Enhance personalization with Generative AI to generate original content, such as product descriptions or creative marketing materials, tailored to each customer’s interests.

automation

1. Automate responses to customer inquiries, complaints, or requests by analyze incoming messages, understand their intent, and generate appropriate responses in real-time.

2. Generate complex documents and reports like detailed financial reports, legal documents, or compliance paperwork using specific data or parameters.

anomoly detection

1. Deploy anomaly detection systems with ML models to identify unusual patterns or behaviors in data.

2. Use Generative AI to learn the normal data distribution and generate synthetic data samples.

3. Compare the generated samples to real data to identify anomalies and make predictions more effectively.

4. Additional applications include network fraud detection or credit card fraud detection.

forecasting

1. Leverage ML techniques to analyze historical data and find trends hidden in your data – including forecasting customer churn, the likelihood of default loans, sales cycles and volumes.

2. Summarize these insights, generate customer emails, and personalize recommendations in marketing outbound efforts with Generative AI.•

Synthetic data augmentation

1. Create synthetic tabular data with Generative AI based on real data.

2. Combine with the existing data set to enhance performance of your ML.

3. These techniques are useful when real data is limited or imbalanced.

4. Potential applications include use in medical research, such as detecting rare medical conditions, object detection in autonomous vehicles, or financial projection analysis.

Our Methodology

Utilizing Human-centric design principles and Design thinking methodology, our team creates powerful solutions that solve meaningful problems. We begin by deeply understanding your needs and challenges, ensuring a strong foundation for defining clear objectives. This leads to a creative ideation process, where we envision innovative solutions that quickly transform into tangible prototypes. Each iteration of development is rigorously tested and refined, ensuring the final outcome precisely aligns with your expectations and requirements.

This isn’t ChatGPT. This is your private AI built with a proprietary blend of modern Machine Learning technologies and the DNA of your organization – your proprietary AI application stack.

Get Started

If you have a targeted use case or project phase that requires developers with a specific specialty or focus, we can help. We’ll tap our extensive network of technology partners to source the right people for the work.

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