AI is Missing Cognition. We Deliver it in Real-Time.
How, through technology, can we make human cognition available in discrete units and near-real time, anywhere it’s needed in a production AI workflow?
Resources
Keep up with the latest in robotics and automation from SparkAI and innovators who inspire us.
The Power of Human Cognition in the AI Workflow. And How to Wield it.
Bringing AI products to life means filling a critical gap in how they overcome confusing situations.
Solving the Last Mile of Autonomous Farming
SparkAI is proud to support John Deere's autonomous tractor and enable their important mission of helping farmers feed the world.
Dear AI Business Leaders: You’re Under Pressure, We Can Help
How to be unstoppable bringing next-generation AI products to life in one of the most challenging markets ever.
The Human Spark at the AI Frontier
Humans working in tandem with AI isn’t a failure of the promise of automation. Humans working in tandem with AI is what accelerates automation.
Removing the Biggest Obstacle to AI Launch and Scale
Global investments in AI topped $93 billion in 2021. But disconcertingly, surveys of AI business leaders continue to report...
SparkAI Speaks at NYC Summit
New York City’s tech and venture ecosystem is reaching new heights. Amid this growth, the Primary NYC Summit – hosted by Primary...
The Robot Report Hosts SparkAI
SparkAI CEO Michael Kohen sat down with hosts of The Robot Report Podcast, Steve Crowe and Mike Oitzman, to discuss the edge case...
Know This Before Building an Edge Case Resolution Platform
The hype for AI is well-documented.
What is Remote Piloting?
In the context of solving robotic AI “edge cases” (or simply: unexpected situations), humans located remotely can be used to...
To Stay or Not to Stay in R&D Mode…
There are many approaches to the AI edge case problem. This blog highlights a common one: Staying in R&D mode — and its benefits, appeal, & drawbacks.
Why Do AI Projects Fail?
Billions of dollars are poured into AI every year, yet most projects never make it out of the lab. With little to show for such a substantial investment, everyone is rightfully asking: What’s holding AI back?