Bunka.ai
Data expertise for Human-AI interactions
Generate key insights to understand and improve your conversational agents
Trusted by leading institutions
Bunka.ai helps businesses that implement conversational AI to improve their user experience and business performance by auditing, analyzing, and optimizing their AI-driven interactions.
Our Services
For AI & Business Leaders
Quantify AI efficiency & outcomes
For AI Teams & Product Owners
Explain & enhance your conversational systems
For Marketing, Strategy & CX Teams
Turn conversations into strategic insights
Our Process
Our AI-powered analytics approach decodes conversation data at scale, delivering deeper insights and more actionable recommendations in a fraction of the time.
Discovery
We analyze your conversation database alongside business objectives to discover patterns that humans would miss.
Analysis
Our proprietary dimension classifiers extract actionable insights on efficiency, satisfaction, compliance risks, automation opportunities and more.
Visualization
We transform complex data into intuitive dashboards tailored to different stakeholders—from ROI metrics to UX improvements.
Recommendations
Our recommendations are data-backed strategies unique to your user base and business goals, delivered with actionable plans.
Implementation
We provide ongoing support with implementation, helping you measure improvements and adjust strategies as needed.
Ready to transform your AI conversations?
Our Expertise
AI Classification Framework
As part of Bunka.ai's mission to elevate our understanding of how humans are interacting and working together with AI, we've built dimension classifiers, each matching State-of-the-Art performance, to enrich and extract insights from your data.
Task Categorization
Taxonomy of GenAI usage
We drew upon insights from the scientific literature, enabling us to understand how users engage with AI systems across different tasks.
What it measures
Categorizes AI interactions across creation, information, and advice categories to understand usage patterns and improve system effectiveness.
Key classifications
Creation
Generating artifacts, content, and creative ideas with AI assistance
Information
Using AI for search, learning, and analyzing content or data
Advice
Seeking improvement suggestions and validation of existing content
AI Reliance Classification
Human-AI collaboration patterns
Taking from the field of critical thinking, measuring whether users are using AI to automate their workflow or augment their workflow.
What it measures
This dimension identifies how users integrate AI into their workflows, distinguishing between autonomous task delegation and collaborative enhancement.
Key behaviors
Automative
Tasks fully delegated to AI with minimal human oversight or intervention
Augmentative
Collaborative workflows where AI enhances human capabilities and productivity
Iterative
Reciprocal learning patterns where humans and AI progressively improve outcomes
Privacy Risk Detection
Privacy taxonomy
Advanced dimension to identify and mitigate privacy vulnerabilities in conversational AI systems.
What it measures
Evaluates privacy risks in conversations, from individually identifiable information to non-identifiable data.
Risk levels
Individual ID
Content that could uniquely identify a specific person or entity
Group ID
Information that could identify a specific demographic or organizational group
Contextual
Content requiring special handling due to business sensitivity or ethics
About us
Our team combines a strong academic foundation with real-world experience in conversational AI. We deliver intelligent, scalable solutions that improve human-AI interactions and drive meaningful business results. Whether enhancing existing systems or creating new ones, Bunka.ai is dedicated to advancing the future of conversational AI.
Charles de Dampierre, PhD
Dr. de Dampierre leads Bunka.ai's strategic vision. With a PhD in computational social science from ENS Paris, and as a former “Grande Ecole” graduate from HEC Paris He focuses on transforming academic research into business solutions and drives our innovation in conversational AI, fostering key scientific partnerships and advancing our technologies.
Malte Meng
Malte Meng oversees the development of our AI platform. With a strong technical foundation from both the RWTH Aachen and Tsinghua University and experience in top-tier companies like Porsche and Huawei, he ensures that our conversational AI systems are cutting-edge and ready for real-world application.
Louis-Marie Lorin
Louis-Marie Lorin manages operations and business development at Bunka.ai. With a strong background in cognitive science from ENS Paris and business from HEC Paris, he ensures that our solutions are not only technically advanced but also aligned with the needs of our clients.