Buy vs. Build: Making the Optimal AI Technology Choice
Learn how to decide between buying or building AI to boost your competitive advantage.
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Our Services
Services
AI Product for Medical Affairs Analytics
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AI for Medical Affairs: Automate medical science liaisons' CRM record analysis for Healthcare & Pharma.
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AI for Commercial Operations Management: Deploy large language models to get overviews and actionable insights into large-scale Medical Affairs.
"They had a phenomenal knowledge of AI."
Serhii Myroshnychenko, Director, Bio-Pharma Medical Evidence
"They have a phenomenal knowledge of AI."
Serhii Myroshnychenko,
Director, Bio-Pharma Medical Evidence
Retrieval-Augmented Generation (RAG) Chatbot for Enterprise & Government Institutions
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Custom Llama-2 Conversational Model: Trained with the most successful sales conversations to mimic the marketing expert's behavior and attend to every individual account's needs.
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Flexible Deployment Model: Deployed with Huggingface and LangChain for easy model upgrading and swapping.
"Their skill, spirit to build the right solution, sense of ownership, and responsiveness are all impressive."
Sanjib Nayak, Founder & CEO
"Their skill, spirit to build the right solution, sense of ownership, and responsiveness are all impressive."
Sanjib Nayak,
Founder & CEO
AI Product Strategy and Implementation Plan for Generative AI Startups
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AI Competitive Advantage: Planning how to deploy AI technologies to prevent latecomer competition.
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System Architecture: Generative AI deployment plan with AWS, Google Cloud Platform, Microsoft Azure, and RunPod.
"It was impressive how Shelpuk AI Technology Consulting found an individual approach to each team they worked with!"
Olena Shershun, Associate Partner
"It was impressive how Shelpuk AI Technology Consulting found an individual approach to each team they worked with!"
Olena Shershun,
Associate Partner
AI Sales Assistant Chatbot for Lead Generation
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Custom Llama-2 Conversational Model: Trained with the most successful sales conversations to mimic the marketing expert's behavior and attend to every individual account's needs.
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Flexible Deployment Model: Deployed with Huggingface and LangChain for easy model upgrading and swapping.
"They had the skills to talk about complex things in the easiest way."
Danil Yasynskyi, Founder & CEO
"They have the skills to talk about complex things in the easiest way."
Danil Yasynskyi,
Founder & CEO
AI Strategy for a Large Bank
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AI Strategy for a Large Bank: AI strategy for retail products of a large bank, developed with the partner, CX Design.
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AI Competitive Advantage: Leverage the bank's proprietary data to train custom AI models the competitors cannot replicate.
"They had the talent to keep positive momentum with both to-the-point communication and humor when necessary."
Andriy Milinevskiy, Founder & CEO
"They had the talent to keep positive momentum with both to-the-point communication and humor when necessary."
Andriy Milinevskiy,
Founder & CEO
AI Strategy for Generative AI Platform
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AI Product Design & Development: Enhanced the client's product offerings, user engagement, and operational efficiency.
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Custom Generative AI Models: Fine-tuned Llama 3, Mistral, and other open-access generative AI models with customer's data to build an AI competitive advantage positive feedback loop.
"The team's strategic insight, technical prowess, and support have been instrumental in the success of our initiatives"
Vit Duk, Founder & CEO
"The team's strategic insight, technical prowess, and support have been instrumental in the success of our initiatives"
Vit Duk,
Founder & CEO
Shelpuk
The AI Compass
December 4, 2024
Your competitors are keeping an eye on AI — are you? We want to make it easy. Each week, we select and demystify the top five AI news items for business, product, and technology leaders.
Cut through the noise! Spend just five minutes per week with The AI Compass to stay ahead and make informed decisions.
Business
Emerging competitors AMD and Amazon are challenging Nvidia's dominance in AI chips, potentially reshaping the technology landscape.
Big Tech has gained $8 trillion in market value since ChatGPT's launch, driven by AI advancements. However, Vanguard cautions that AI stock valuations may be overestimated, suggesting a possible market correction.
Product
As the AI race accelerates, Amazon's AWS solidifies its leadership by unveiling significant AI innovations at re:Invent 2024.
Apple enhances its AI capabilities by partnering with Amazon and adopting AWS's custom AI chips—a strategic move signaling deeper collaboration.
Amazon further strengthens its AI ecosystem by partnering with Anthropic, providing advanced Trainium chip clusters to boost AI performance.
Microsoft faces regulatory scrutiny as the FTC investigates its AI practices and partnership with OpenAI, raising concerns over competition in the AI industry.
Technology
MIT has unveiled a photonic chip that uses light to perform neural network computations, offering ultrafast AI processing with high energy efficiency. This breakthrough could revolutionize real-time AI applications across various industries.
Google Cloud introduced Veo, an AI video generation model that enables businesses to create high-definition videos from simple text or image prompts, simplifying content creation.
Despite these advancements, many companies struggle to deploy generative AI into production, facing hurdles like complexity, high costs, and integration issues, underscoring the gap between AI's potential and its practical implementation.
Business
Emerging competitors AMD and Amazon are challenging Nvidia's dominance in AI chips, potentially reshaping the technology landscape.
Big Tech has gained $8 trillion in market value since ChatGPT's launch, driven by AI advancements. However, Vanguard cautions that AI stock valuations may be overestimated, suggesting a possible market correction.
Product
As the AI race accelerates, Amazon's AWS solidifies its leadership by unveiling significant AI innovations at re:Invent 2024.
Apple enhances its AI capabilities by partnering with Amazon and adopting AWS's custom AI chips—a strategic move signaling deeper collaboration.
Amazon further strengthens its AI ecosystem by partnering with Anthropic, providing advanced Trainium chip clusters to boost AI performance.
Microsoft faces regulatory scrutiny as the FTC investigates its AI practices and partnership with OpenAI, raising concerns over competition in the AI industry.
Technology
MIT has unveiled a photonic chip that uses light to perform neural network computations, offering ultrafast AI processing with high energy efficiency. This breakthrough could revolutionize real-time AI applications across various industries.
Google Cloud introduced Veo, an AI video generation model that enables businesses to create high-definition videos from simple text or image prompts, simplifying content creation.
Despite these advancements, many companies struggle to deploy generative AI into production, facing hurdles like complexity, high costs, and integration issues, underscoring the gap between AI's potential and its practical implementation.
Read More on our Blog
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