What distinguishes Composabl is our focus on imbuing AI with more human-like decision-making capabilities. We're not just about automation; we're about integrating perception, reasoning, and intuition into our agents. For instance, our agents can "see" through cameras, "listen" to machine sounds, and make sense of situations even with incomplete information, much like expert human operators do.

Frankly, as a species we must figure out ways to reduce the amount of fuel and carbon required to transport goods. Tires remain an incredibly easy target: 20% of vehicle carbon emissions directly depend on tire function. The potential carbon savings from simply ensuring tires are properly managed is staggering.

In the landscape of Africa's economic development, Matta has emerged as a noteworthy player in reshaping the region's chemical supply chain. With a vision of seamlessly connecting producers with manufacturers to foster economic prosperity and transform the continent's industrial landscape, Matta has been quietly but effectively streamlining the movement of chemicals and materials across the continent as the electric vehicle industry increases demand.

Industrial AI has seen significant changes over the past decade. First, there was predictive maintenance, then anomaly detection, then deep reinforcement learning, which have all moved the field forward. What has been missing is the inclusion of the subject matter experts that know these processes best, leveraging machine teaching. With this step forward, Kence and his team's product have the potential to significantly drive the adoption of industrial AI and automation across various industries.

We aim to invest in the platforms and technologies that can modernize foundational industries—in success, Harbinger will do exactly that.

Matta's pioneering approach to creating a digital marketplace for chemicals and materials has positioned them as a catalyst for Africa's enhanced role in the global supply chain.

From broader AI adoption to emerging trends in software-defined AI infrastructure, data-centric vs. model-centric AI/ML, and model deployment and orchestration, the potential for AI innovation is immense.

“Soon every enterprise will need to be a data and AI company…An enterprise’s proprietary data is their most defensible moat. It is what sets them apart and can differentiate them and help them win.”

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The story behind a technology intended for many uses, from making more sales and saving more lives.

By supporting Eion, we hope to support the decarbonization of agriculture as much as we can, and heal the soil while we’re at it.

“Unfortunately a lot of technological effort in the past 40 years has gone into NOT trusting people and locking the data away, so in the absence of good technology people establish and maintain trust manually. Now is the time that's no longer tenable. The scale has passed its tipping point.”

“Public key infrastructure is pretty nerdy stuff, but it's important. We see ourselves as sort of revolutionaries—or rebels, maybe, depending on your perspective—trying to democratize the space.”

“…in electrification, there are whole segments of the industry where almost no meaningful engineering has been done, so the opportunities to make huge impacts are really incomparable.”

People often underestimate the power of places outside Silicon Valley in venture capital. The advantage of Ridgeline is their relationships with their strategic corporate limited partners (LPs)—including Fortune 500 companies FedEx, AutoZone, and Dollar General, all headquartered in Tennessee—representing foundational industries that impact the lives of many Americans every day.