AI startup Probably raised nine million dollars [1] in seed funding on June 16, 2026, to develop a more reliable artificial intelligence system.
Reducing factual errors and hallucinations is critical for the widespread adoption of AI in high-stakes industries. If these systems cannot guarantee accuracy, businesses may remain hesitant to integrate them into core operations where a single mistake could have significant consequences.
The funding round was co-led by venture capital firms a16z and Accel [2]. The company said it intends to use the capital to build technology that prevents hallucinations and factual errors from reaching the end user [1].
By targeting these reliability issues, Probably seeks to achieve a level of accuracy comparable to deterministic systems [1]. Deterministic systems are those where a specific input always produces the same output, unlike the probabilistic nature of current large language models, which can vary in their responses.
This effort to harness AI hallucinations aims to bridge the gap between the creative capabilities of generative models and the rigid precision required for technical or legal documentation [2]. The company said it did not specify its headquarters location in the announcement [1].
“Probably raised $9 million in seed funding to develop a more reliable artificial intelligence system.”
The investment in Probably highlights a shift in the AI industry from a race for raw capability to a focus on reliability. As enterprises move from experimental pilots to production-grade AI, the 'hallucination' problem remains the primary technical barrier. Solving for deterministic-level accuracy would allow AI to move into sectors like medicine or finance, where factual precision is non-negotiable.
