"When you can read binary's in your sleep. It is a blessing and a curse."
Ineffective use of resources are major challenges for organizations today, hindering growth and scaling efforts. At Kerma, we believe responsible AI is the key to solving these issues—and it should be accessible to all businesses, not just large enterprises.
We tackle your toughest problems with cutting-edge AI, offering open, collaborative solutions that push technological boundaries. Our expert data science and document intelligence tools help businesses easily manage unstructured data and unlock immediate value through AI.
Kerma"s founding team has deep experience honed through working with large companies such as EADS, Deutsche Telekom, Vodafone, Roche, Duke Energy, VW Group, Daimler Benz and several others and building out hundreds of solutions ranging from on-point applications for specific use cases to large transformative enterprise solutions with budgets in 100's of millions of $$. Additionally, in the role of investors the founders have backed 180+ Startups building AI.
Frequently asked questions (FAQ's)
Is your business AI-ready? As the world embraces a digital-first approach, how can organizations scale, adapt, and innovate faster? AI advancements are driving digital transformation, with data intelligence at the forefront.
Here is the collection of answers to the most perplexing questions pertaining to AI.
Why should I integrate AI into my business?
Integrating AI into your business boosts efficiency, drives innovation, and improves decision-making. By analyzing data, AI reveals insights that guide smart choices and automates routine tasks, saving time and reducing errors. It also enables personalized customer experiences that enhance satisfaction. In today’s fast-paced market, AI keeps you agile, helping you seize opportunities and stay ahead of the competition. Embrace AI to unlock growth, efficiency, and a competitive edge.
How do AI models work?
AI models are designed to learn from vast amounts of data, identifying key patterns and refining predictions. Through training, they continuously improve, minimizing errors and ensuring accuracy. Once tested and validated, these models make real-world decisions and predictions, constantly evolving with new data and feedback. By harnessing AI, your business can unlock smarter, more efficient solutions that get better over time.
What types of AI solutions may one need?
Depending on the situation, one may require crafting custom AI solutions that drive real results for your business. From intelligent chatbots and advanced image recognition to personalized recommendation engines and predictive analytics, one may require full spectrum of AI technologies. It requires cutting-edge machine learning and deep learning techniques to deliver tailored solutions that not only meet your industry’s needs but also align with your strategic goals.
What is the typical time required to define the project scope, create a plan, and execute an AI project?
The timeline for an AI project depends on key factors like data quality, algorithm complexity, custom models, and system integration. While these elements may affect duration, taking the time to carefully define the scope, plan, and execute ensures your solution aligns perfectly with your goals. A tailored approach not only optimizes performance through iterative testing but also delivers superior results that meet your specific needs. By investing in a well-structured timeline, you set your project up for success and long-term impact.
What is the cost of developing an AI-powered solution?
The cost of developing an AI-based app depends on several key factors:
1. AI Model Complexity: Simpler models, like basic chatbots, are more affordable due to shorter development times and fewer data requirements. In contrast, complex models such as those involving deep learning or image recognition demand more resources, increasing costs.
2.Training Data Quality & Volume: High-quality, large datasets are crucial for AI performance, and acquiring them can be expensive. Specialized datasets (e.g., for medical apps) can significantly raise costs, while publicly available data may be more affordable.
3.Development Team Expertise: The skill level and location of the development team also impact costs. Experienced AI developers can command higher fees, but their expertise often leads to more efficient and effective solutions.
4. App Features: The more features and advanced capabilities (like voice recognition or complex integrations) your app has, the higher the the development cost.
How often do the AI solution require maintenance?
Beyond initial development, deploying your solutions on cloud platforms or servers adds to the cost. Ongoing maintenance, updates, and potential retraining of the AI model are essential to ensure continued performance and solution longevity.
The cadence depends upon the severity and criticality of the mission.
