Turn AI Ideas Into Proofs of Concept

Getting an AI project off the ground can seem impossible for business leaders across industries. Lack of internal AI 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 helps organizations in life sciences, healthcare, finance, communications, and beyond explore and validate LLM-powered solutions securely and efficiently. With our AI expertise and proven process, LaunchAi enables rapid experimentation, refinement, 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.

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Phase
Process
Deliverables
Phase
Day 1

Exclusive Workshop on Agentic AI Applications

Process
  • Introduction to Agentic AI and its business use cases (e.g., Systematic Literature Review, Global Value Dossier, Fraud Detection, Competitive Intelligence, Crisis Monitoring).
  • 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 workshop providing foundational knowledge on Agentic AI and its applications.

Phase
Week 1

Discovery & Use Case Definition

Process
  • A deep dive into the chosen use case, defining specific requirements, project scope, objectives, and success metrics.
  • Assessment of data availability and quality for fine-tuning or prompt engineering.
Deliverables

A GenAI Strategy Document.

Phase
Week 2

Project Implementation

Process
  • Selection of the most suitable pre-trained GenAI models (GPT, Claude, Gemini, Stable Diffusion, etc.).
  • 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 GenAI Prototype demonstrating initial model capabilities.

Phase
Week 3

Prototype Refinement

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

A Refined GenAI Prototype Output Evaluation Report.

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 GenAI solutions (infrastructure, data management, maintenance).
  • Exploration of ethical considerations and bias in GenAI outputs.
Deliverables

GenAI Integration Plan and Roadmap including the 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 industrial domain knowledge. This distinctive blend ensures a more effective, efficient, and reliable path to successful AI implementation.

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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.

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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.

Subject Matter Expert Validation

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

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Custom Model Building Expertise

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

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What LaunchAi Does

A prototyping framework built for secure, reliable results.

  • Agentic AI pipeline for advanced reasoning, autonomous decisions, and multi-step workflows

  • RAG architecture that turns your proprietary data into precise, actionable insight

  • Flexible LLM support, with the right model selected for each task

  • Specialized AI tools for analysis, extraction, reporting, and automation

  • Scalable across major clouds, built with Infrastructure as Code

  • Secure integration with your existing systems, including EDC and internal databases

  • Security and compliance: access control, anonymization, and de-identification for HIPAA and similar standards

Ready to Prove Your AI Idea?

Bring us a use case, and we will help you validate it in four weeks, on your own data.

Talk to Our Experts

Tell us what you’re trying to achieve, and we’ll get back to you.