Falcon

Falcon Research Group''s Falcon is a big help for companies in pharmaceuticals, biotechnology, and medical devices. They offer special solutions to build successful brands, even in complicated and budget-conscious markets. Falcon works closely with clients to find and solve key problems.

Key Features

Falcon is great at creating evidence and doing health economics research. Their team includes health economists, pharma executives, and academics. They work together to provide strong evidence and long-term support for pharma companies, payers, providers, and patients. Falcon designs and carries out projects of all sizes. They mix new ideas with scientific accuracy to make sure the value of products is seen by everyone involved.

Benefits

Falcon''s services help achieve success in healthcare by making sure payers and policymakers see the value of products. Their team works with top universities to provide practical insights and strong arguments backed by science. This helps clients make good decisions and present their cases well.

Use Cases

Falcon''s solutions are perfect for pharmaceutical, biotechnology, and medical device companies. They want to build strong product value strategies. Their knowledge in health economics and evidence creation makes them a valuable partner for success in complex healthcare settings.

Partnership with NASA

Falcon''s partnership with NASA through the USRC grant has greatly helped their research and development. This team effort provides resources and support to tackle big challenges in science and technology. It boosts the reach and impact of their work. By using NASA''s expertise and funding, Falcon has been able to create, test, and improve solutions with real-world uses. This contributes to global progress.

Recent Updates

As of January 2024, Falcon has made several improvements. These include a better interface, integration with OpenAI, evaluations using RAG, faster API speed, and an easier Docker setup. Other features include SDK improvements, better navigation through traces, Single Sign-On via Google and GitHub, and a project deletion feature. Documentation improvements allow instant access to all Python documentation as Jupyter notebooks. Detailed insights include cost analysis per model, latency distributions, end-user cost and usage patterns, and better date selection tools.