capabilities

data in. insight out.

developing software tailored to one's data maturity, covering your needs from data infrastructure to cutting-edge AI.

data foundations

laying the groundwork for AI success - building robust data foundations for tomorrow's innovations.

data architecture + governance

data architecture involves designing and managing the structure and flow of data within an organization. it is crucial for ensuring data integrity, accessibility, and security across industries.

impact

  • efficient data management: streamlines data storage, retrieval, and processing, enhancing overall efficiency.
  • scalability: well-designed data architecture supports business growth by accommodating increasing data volumes.
  • compliance and security: ensures data compliance with regulations and enhances security measures to protect sensitive information.

interactive data applications

data analysis involves examining raw data to extract insights, while dashboards visually represent key metrics. across all industries, effective data analysis and dashboards empower informed decision-making and strategic planning.

impact

  • informed decision-making: enables businesses to make data-driven decisions, optimizing processes and strategies.
  • performance monitoring: dashboards provide real-time insights into key performance indicators, facilitating proactive adjustments.
  • trend identification: helps identify market trends, customer behaviors, and areas for improvement.

process mining & automation

process automation involves using AI to automate routine and repetitive tasks. in insurance, banking, and various other sectors, process automation reduces operational costs and increases efficiency.

impact

  • cost savings: reduces manual labor costs by automating routine tasks, allowing employees to focus on more complex and strategic activities.
  • improved accuracy: minimizes errors associated with manual processes, leading to increased accuracy and compliance.
  • enhanced speed and reduced lead time: accelerates processes, resulting in faster service delivery and improved customer satisfaction.

AI integrations

complex challenges demand sophisticated solutions. we develop cutting edge AI tailored to overcome your business challenges.

recommender systems

recommender systems are advanced algorithms that analyze user behavior, preferences, and historical data to provide personalized recommendations. in industries like retail/e-commerce, manufacturing, and banking, recommender systems can enhance customer experience, increase sales, and optimize product or service offerings. by understanding individual preferences, businesses can deliver targeted suggestions, fostering customer loyalty and satisfaction.

impact

  • increased sales: recommender systems drive upsells and cross-sells by suggesting relevant products or services, leading to higher conversion rates.
  • enhanced customer engagement: personalized recommendations improve user engagement and retention, creating a more satisfying customer experience.
  • inventory optimization: in manufacturing and retail, recommender systems optimize inventory management by predicting demand and suggesting restocking strategies.

computer vision

computer vision involves using AI to enable machines to interpret and understand visual information from the world. in manufacturing, retail, and process industries, computer vision can revolutionize quality control, automate processes, and enhance overall customer satisfaction.

impact

  • quality assurance: computer vision ensures high-quality production by identifying defects and anomalies in real-time.
  • process automation: streamlines manufacturing and process industries by automating tasks such as inspection, sorting, and packaging.
  • customer behavior analysis: in computer vision can analyze customer behavior within the retail space. by tracking movement patterns, dwell times, and interaction with products, retailers can gain valuable insights into customer preferences and optimize store layouts for better engagement. this data can inform strategic decisions related to product placement and marketing strategies.

generative AI & large language models

generative AI and large language models enable machines to understand and generate human-like content, such as text, images or audio. in services, sales, and marketing, this technology can be used for content creation, chatbots, and automated communication.

impact

  • content creation: automates content generation for marketing materials, social media, and customer communications.
  • efficient customer suppot: large language models power chatbots, providing instant responses and improving customer support efficiency. these models can be deployed internally, working as an advanced mode of knowledge retrieval or documentation search.
  • personalized marketing: enables personalized marketing campaigns by generating targeted, relevant content.

responsible AI

what was the decision based on?
are we taking the right actions?
what is the performance?
our solutions include all the answers.

ethics


at brainn, we are dedicated to upholding the highest ethical standards, guided by principles of accountability, transparency, and social responsibility.
we are actively engaged with pioneering technological causes, including:

> GDPR compliance
> joining the AI pact
> fostering sustainability

explainability


we recognize that the sustained human perspective is essential for a successful AI implementation.
we leave no questions unanswered with our explainability technology, making algorithms more interpretable through:
> understanding key decision factors
> unraveling insightful patterns
> building trust and adoption

monitoring


ensuring the reliability of AI systems is vital, and that's where our model monitoring systems comes in.
by using MLOps best practices and keeping a close eye on how our systems perform over time, we catch any deviations early on, ensuring consistent performance you can rely on based on:

> high-quality model outputs
> robust system reliability
> maximized business impact

maintenance


with the kaizen methods rooted in our values, we have a deep commitment to continuous improvement.
by frequently acting in your operational environment, we ensure that the impact evolves for the customer after deploying our solutions, following up on:
> optimizing implemented solutions
> assess new opportunities
> integrating new features