Bunka.ai

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Data expertise for Human-AI interactions

Generate key insights to understand and improve your conversational agents

Trusted by leading institutions

HEC ParisENS-PSLPRAIRIEMinistère de la cultureCDLFrance 2030CNRSInstitut Nicod

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

Measure ROI of your conversational AI implementation
Identify effectiveness bottlenecks in your AI usage
Benchmark your AI interactions against best-practices

For AI Teams & Product Owners

Explain & enhance your conversational systems

Increase user engagement and satisfaction with optimized AI interactions
Proactively detect bias, security risks, and compliance issues
Identify gaps in your systems knowledge-base and capabilities

For Marketing, Strategy & CX Teams

Turn conversations into strategic insights

Detect emerging customer needs to refine product offerings
Spot high-value opportunities in chatbot interactions
Prevent customer frustration by diagnosing conversation failures

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.

1

Discovery

We analyze your conversation database alongside business objectives to discover patterns that humans would miss.

2

Analysis

Our proprietary dimension classifiers extract actionable insights on efficiency, satisfaction, compliance risks, automation opportunities and more.

3

Visualization

We transform complex data into intuitive dashboards tailored to different stakeholders—from ROI metrics to UX improvements.

4

Recommendations

Our recommendations are data-backed strategies unique to your user base and business goals, delivered with actionable plans.

5

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.

Dimension 01

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

Dimension 02

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

Dimension 03

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

CEO

Dr. de Dampierre leads Bunka.ai's strategic vision. With a PhD in computational social science from ENS Paris, a master from HEC Paris and a focus on transforming academic research into business solutions, he drives our innovation in conversational AI, fostering key scientific partnerships and advancing our technology.

Malte Meng

CTO

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

COO

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.

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