Trusting the Data: Why The Bond Fund is Investing in Selfr
The next era of enterprise analytics won't be built on AI that guesses; it will be built on AI that organizations can trust. That is why The Bond Fund is backing Selfr, a company building a new approach to analytics designed to eliminate the hallucinations that have prevented the widespread deployment of AI for non-technical users.
For organizations striving to be truly data-driven, the operational bottleneck is a familiar one. Business teams have questions, but they often have to wait days for overloaded data analysts to write SQL and build dashboards. Recently, the market has turned to LLM-based analytics chatbots in an attempt to bridge this gap. However, traditional LLM systems often produce hallucinated answers when applied to enterprise data. Because non-technical users cannot read SQL or verify complex data schemas, a hallucinated answer presented with confidence can lead to poor business decisions.
Fact-Based Analytics by Design
Selfr is tackling this problem by taking a fundamentally different approach to analytics and AI.
Instead of relying on probabilistic, hallucination-prone LLM architectures, Selfr has built a proprietary, non-autoregressive system designed to ensure responses remain grounded in verified data. The platform allows non-technical users to ask complex questions in natural language and receive fast, reliable answers. By designing the system to prevent hallucinated outputs, Selfr brings true self-serve capabilities to business teams. This dramatically reduces the backlog of ad-hoc requests and frees core data teams to focus on higher-value infrastructure.
Reliability as the Ultimate Moat
Our investment thesis here is clear: LLM-based architectures may struggle to succeed in fully autonomous enterprise workflows if outputs cannot be trusted without constant expert oversight. As businesses increasingly demand autonomous analytics, reliability becomes the most important feature. If that thesis proves correct, system-level reliability becomes the ultimate moat.
Behind this technical breakthrough is an exceptional team with strong founder-market fit. Co-founders Nour Lake and Naim Kosayyer bring deep expertise in machine learning and business intelligence, backed by an 11-year collaborative history. Their disciplined execution and technical differentiation position them well to redefine how organizations interact with their data.
We are proud to support Nour, Naim, and the entire Selfr team as they build the trustworthy infrastructure required for the next era of enterprise analytics.