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Enlight ApS is a software company and consultancy, in Copenhagen – Denmark.

Providing it’s services to companies across all industries.

Enlight ApS is the developer of software Launch Excellence Application©, that is used extensively in pharmaceutical industry across the departments but mainly in product launches.

Variations of LEA might have a different name, color palete and wireframing based on the wishes of the client.

LEA© (Launch Excellence Application©) is a SAAS developed by Enlight ApS.

LEA provides an ultimate support to teams, managers and key decision makers across all the departments in the company.

LEA takes Big Data & AI and revolutionizes the industry by interconnecting the departments at the fundamental level, cross-connects organization management, financing, planning, monitoring and provides automated AI consultancy in best practices implementation as well as it is a reliable, fast and accurate personal assistant. Beautiful dashboards are created for every stakeholder based on the needs and requirements of that given position, meaning that Director of the financial department sees different KPI’s then other stakeholders such as product launch manager, accountant or team leader.

LEA uses the most up-to-date security systems, best practices & have variations of the system implementations that are virtually impossible to breach. Enlight ApS is a holder of information security certifications, SOC1, SOC2 and Ecovadis.

LEA© helps cross-connect the departments. It's main strengths lie in product launch, financial control, organization management, best-practices implementation and with the use of AI you have consultancy and personal assistant in one.

LEA is highly customizable and is always customized to a clients liking. Every client has different needs and challenges, with the use of GAP analysis we assess your company’s situation and provide you with models only relevant to your specific state & challenges, tuning the dashboards into the tiniest details, for all of your stakeholders.

Both variations are available.

That depends on multiple factors such as:

Number of modules

Amount of stakeholders/Employees

Availability of the client Current systems in place of the client Amount of Data that needs to be transferred

and many other factors. After the initial GAP analysis we will provide the timeline with recommended setup.

Yes, It is possible to cross-connect LEA© with various tools and datasets as long as there is an acces point or API provided.

A dashboard visually represents essential information, data, or key performance indicators (KPIs) in a single, easily digestible interface. It offers a real-time overview of critical metrics, helping you make informed decisions at a glance.

The primary purpose of a dashboard is to offer a centralized and accessible view of relevant data, facilitating quick analysis and decision-making. Dashboards are commonly used in various industries and functions, such as business, finance, marketing, and project management.

A typical dashboard includes visual elements like charts, graphs, and gauges. These components are often customizable, allowing users to display data in formats that best suit their needs. Additionally, dashboards may feature filters, drill-down options, and interactive elements for a more dynamic user experience.

While both dashboards and reports present data, dashboards are designed for real-time monitoring and quick insights. They provide an at-a-glance overview, whereas reports offer more detailed information and analysis, often in a structured format. In LEA©, it is a combination of both, simplicity of Dashboards with a detailed and structured format of reports.

You can display a wide range of information on a dashboard, including financial metrics, sales performance, launch analytics, project progress, and process funnels. The key is to focus on critical data relevant to your specific goals and decision-making processes.

Dashboards offer several benefits for businesses, such as improved visibility into performance metrics, quicker identification of trends and anomalies, enhanced decision-making, and increased overall efficiency by centralizing relevant information in one location.

No, dashboards are valuable tools for organizations of all sizes. Many of our software solutions cater to small and medium-sized businesses, providing affordable and user-friendly dashboard functionalities to help these organizations monitor and optimize their performance.

Our dashboard solutions prioritize data security. We implement access controls, encryption, and authentication measures to ensure that only authorized users can access sensitive information displayed on dashboards.

A product launch is the introduction of a new product to the market. It involves various activities, including sales, regulatory compliance, operations management, promotion, and distribution, to develop a bulletproof plan and generate awareness and attract customers.

A successful product launch is crucial for creating initial momentum, building brand awareness, and capturing the attention of target customers. It sets the tone for the product's market reception and long-term success.

The key stages of a product launch typically include market research, product development, defining a marketing strategy, creating promotional materials, executing the launch, and post-launch analysis for continuous improvement. In LEA© the steps have been broadened and some new have been implemented in order to help you achieve true launch excellence.

The duration of a product launch varies based on factors such as the complexity of the product, target market, and marketing strategy. It can range from a few months for simpler products to a year or more for complex offerings.

Market research helps identify target audiences, understand customer needs, evaluate competition, and determine the potential success of a product in the market. It informs key decisions throughout the product launch process.

Choosing the right launch date involves considering factors such as market trends, competitor activities, and seasonal demand. It's essential to align the launch with a time when your target audience is most receptive.

Success can be measured through various key performance indicators (KPIs) such as sales figures, customer feedback, market share gains, and brand visibility. Post-launch analysis helps in understanding what worked well and areas for improvement.

To maintain success after a product launch, you should monitor customer feedback, address issues promptly, refine your marketing strategies based on performance data, and consider follow-up promotions or product iterations. Regularly re-evaluate and update your best practices to ensure continuous improvement.

Market research helps you define categories and target groups, empowering launch managers to contribute and utilize valuable content, reports, and insights. This collaborative approach ensures that everyone involved has access to the latest information and can make informed decisions, contributing to a successful product launch.

Developing a roadmap for achieving desired goals and outcomes, while maximizing the success of a product launch, through strategic planning and execution.

Taking action to implement and achieve goals according to the plan.

Assessment of Market Research, Planning and Execution, and evaluating the preparedness of the product launch before the start of plan implementation.

Continuous measurement and improvement of business performance and outcomes.

Monitoring and evaluating product launch performance to adapt current and future strategies & implementation.

Extracting valuable and actionable information from data and research and turning this data into useful insights to inform decision-making.

Development of optimal methods for achieving desired outcomes based on industry standards in order to use the most effective and proven ways to get things done, based on previous experience.

Artificial Intelligence (AI) refers to the development of computer systems capable of performing tasks that typically require human intelligence. This includes tasks such as learning, reasoning, problem-solving, perception, and language understanding.

Large Language Models, or LLMs, are a type of AI model trained on vast amounts of text data to understand and generate human-like language. Examples include GPT (Generative Pre-trained Transformer) models, like GPT-3.

LLMs use deep learning techniques, particularly transformer architectures, to process and generate human-like text. They learn patterns and relationships within the data during pre-training and can then be fine-tuned for specific tasks.

LLMs have a wide range of applications, including natural language understanding, content generation, language translation, chatbots, code generation, summarization, and more. They are versatile tools for handling complex language-related tasks. LEA© pushes the LLM's even further, making them a fast and reliable nearly-personal-assistant, that you will get easily used to.

Yes, LLMs are designed to understand context and nuances in language. They can generate coherent and contextually relevant responses based on the input they receive.