Company

Quantizant is a market trends analysis automation for technological companies.

We are building a next generation LLM-powered analytical platform analyzing startup and technology business news to automatically recommend best strategic directions client companies can take in their innovation efforts.

We focus on both innovation and competitive dynamics and use the recently revolutionary LLM capabilities to abstract trends and tendencies while supporting them with data on popularity, traction and investment.

Data Pipeline

We extract text from news sites, blogs, technology reports, company websites, social media profiles and scientific papers and turn them into a custom knowledge graph. By doing so we map companies, to business models, technologies and 20 other aspects that define trends on the market. Our predictive AI can extrapolate trends in the future and our generative AI can summarize the gathered knowledge into insights from any perspective.

AGI Researcher Position

We are hiring a kick-ass machine learning researcher with a creative mind and deep AI & Statistics knowledge who will improve our state of the art algorithms and help us reach the goal of achieving AGI level performance for the task of competitive market research.

Responsibilities:

• Design and develop an AI-based solution for competitive market research
• Identify and integrate relevant data sources to feed into the system
• Train and test the AI algorithms to ensure accurate and reliable results
• Collaborate with a team of data scientists, software engineers, and business analysts to refine the solution and make it more effective
• Present findings and recommendations to clients in a clear and concise manner

Requirements:

• PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field
• Minimum of 3 years of experience in AI research and development, with a focus on natural language processing, deep learning, and neural networks
• Strong programming skills in Python
• Experience working with big data technologies such as Hadoop, Spark, or similar
• Excellent analytical and problem-solving skills