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LaunchAi

Accelerate Your Pharmaceutical Innovation with AI

Getting an AI project off the ground can seem impossible for life science leaders. Lack of internal AI resources and expertise, data quality concerns, and potential costs are just some of the barriers holding AI strategies back.

CapeStart’s LaunchAi is a rapid AI prototyping service that provides life science leaders with a secure, efficient way to develop LLM-powered solutions for pharma. Using our MadeAi™ platform, AI expertise, and proven process, LaunchAi enables rapid exploration, validation, and implementation of AI innovations.

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LaunchAi Package

Led by CapeStart’s experienced team of AI experts, LaunchAi combines the award-winning MadeAi platform with a well-proven process to turn AI ideas into reliable, highly efficient solutions.

ring
Phase
Process
Deliverables
Phase
Day 1

Exclusive Workshop on Agentic AI in Life Sciences

Process
  • Introduction to Agentic AI and its business use cases (e.g., Systematic Literature Review, Global Value Dossier, Pharmacovigilance, Clinical Content Generation).
  • Presentation of Generative AI concepts such as RAG, multi-agent systems, and tool use.
  • Discussion of key challenges in governance, explainability, privacy, and security.
  • Consultation to understand client needs and expectations.
Deliverables

A 2-hour onsite or online workshop providing foundational knowledge on Agentic AI and its applications.

Phase
Week 1

Discovery & Use Case Definition

Process
  • Definition of project scope, objectives, and success metrics.
  • Assessment of data availability and quality for fine-tuning or prompt engineering.
Deliverables

A Generative AI Strategy Document outlining the project scope, objectives, and data readiness.

Phase
Week 2

Project Implementation

Process
  • Selection of the most suitable pre-trained GenAI model (GPT, Claude, Gemini, Stable Diffusion).
  • Application of prompt engineering techniques to optimize outputs.
  • Fine-tuning of the model using client data (if feasible).
  • Development and testing of initial prompts.
Deliverables

A Baseline Generative AI Prototype demonstrating initial model capabilities.

Phase
Week 3

Prototype Refinement

Process
  • Collection of client feedback and evaluation of output quality (coherence, relevance, creativity).
  • Refinement of prompts, fine-tuning, and RAG/agents iteratively.
Deliverables

A Refined Generative AI Prototype along with an Output Evaluation Report assessing model performance.

Phase
Week 4

Integration Planning & GenAI Roadmap

Process
  • Presentation of the prototype, roadmap, and best practices.
  • Identification of integration points with existing systems.
  • Development of a roadmap for scaling AI solutions (infrastructure, data management, maintenance).
  • Exploration of ethical considerations and bias in AI outputs.
Deliverables

A Generative AI Integration Plan and Roadmap detailing the implementation strategy, scalability, and ethical considerations.

The CapeStart Advantage: Why Choose LaunchAi?

CapeStart’s LaunchAi stands out from conventional AI development approaches by offering a unique combination of industry-leading experience, a proven AI platform, and deep life science domain knowledge. This distinctive blend ensures a more effective, efficient, and reliable path to successful AI implementation.

Extensive AI/ML Experience

Extensive AI/ML Experience

With over a decade of dedicated experience in the field, CapeStart has successfully executed more than 60 AI/ML projects across various industries, including pharmaceuticals.

Foundation AI Platform (MadeAi)

Foundation AI Platform (MadeAi)

CapeStart’s MadeAi platform significantly accelerates the development of LaunchAi Proof-of-Concepts (POCs) by providing a proven, award-winning foundation specifically designed for the life sciences.

Life Science SME Validation

Life Science SME Validation

LaunchAi incorporates life science SMEs in a human-in-the-loop validation process, enhancing quality, ensuring relevance, and delivering confidence in POC solutions.

Custom Model Building Expertise

Custom Model Building Expertise

CapeStart offers significant experience in building custom AI models tailored to the specific needs and requirements of pharmaceutical companies.

Maximize AI Potential in Pharma with LaunchAi: Drive Innovation and Achieve Your Goals

Developed by our expert team, LaunchAi combines a robust library for seamless LLM interaction, secure methods for integrating proprietary pharmaceutical data, and advanced tools to ensure accurate and reliable results.

RAG for Pharma

We utilize a robust Retrieval Augmented Generation (RAG) architecture to transform LLMs into highly effective tools for clinical trial analysis, regulatory submissions, literature reviews, and more. This enables your specific pharmaceutical data to be leveraged to generate precise, contextually relevant, and actionable insights.

LLMs for Specialized Pharma Tasks

LaunchAi supports various LLMs, enabling dynamic model selection to optimize for specific tasks such as drug design, target identification, patient stratification, and adverse event detection. This flexibility ensures that you can leverage the most appropriate AI technology for each application, maximizing performance and minimizing costs.

Specialized AI Tools

Our MadeAi framework provides a suite of tailored AI solutions for the pharmaceutical industry. This includes tools for rapidly analyzing scientific literature, extracting insights from clinical trial data to optimize trial design and patient care, and streamlining the generation of regulatory documents.

Scalability of Massive Pharma Datasets

Built with Infrastructure as Code (IaC) principles, our AI framework supports seamless scalability across major cloud platforms (AWS, Azure, GCP), ensuring the ability to handle large pharmaceutical datasets and complex computations without compromising performance or reliability.

Integration with Existing Systems

LaunchAi ensures secure integration with existing pharmaceutical systems, such as LIMS (Laboratory Information Management Systems), EDC (Electronic Data Capture) systems, and internal databases, through secure API connections and custom integrations, maintaining data integrity and compliance.

Security & Compliance

Customizable access control, robust data anonymization, de-identification capabilities (essential for HIPAA and other regulations), continuous security updates, and dedicated security support ensure that your AI projects remain secure, compliant, and cutting-edge.

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