The hardware landscape has fundamentally changed. As industries like automotive and aerospace become increasingly software-driven, the complexity of systems has exploded. By 2020, the world created over 60 zettabytes of data. By 2025, that number will triple.
This data surge has overwhelmed traditional monitoring approaches. Engineers are drowning in dashboards and alerts, unable to extract meaningful insights from the noise. Our recent market research reveals a widespread struggle to effectively handle the complex data present in modern aerospace operations. 63% of respondents face challenges in data management, traceability and contextualization.
The situation demands a new approach.
Bridging the Software-Hardware Divide
Sift cuts through the data deluge. Our platform automates data review and provides a unified testing environment. This enables engineers to focus on building reliable, high-performing products instead of chasing alerts.
Sift's approach goes beyond data management—it transforms hardware development rooted in a "test like you fly" approach.
SpaceX exemplifies this approach. By 2023, they achieved a 98% success rate with Falcon 9 first stage landings—a feat considered impossible a decade ago. Their method: Treat rockets like software. Test, iterate, improve. Repeat.
Sift brings this agility across industries. We're ending the era of years-long development cycles. Companies using Sift refine products continuously, translating real-world data into immediate enhancements. It's no longer about perfecting a product before launch—it's about evolving it in real-time, adapting to actual use rather than theoretical scenarios.
It's the difference between constantly putting out fires and preventing them from starting in the first place.
Preventing Problems, Not Just Fixing Them
Sift transforms observability from a reactive tool to a predictive powerhouse. Our platform doesn't just collect data—it learns from it, capturing institutional knowledge and identifying patterns that human operators miss.
In aerospace, unscheduled maintenance events cost billions annually. Sift predicts potential failures before they occur, scheduling maintenance only when necessary. This isn't incremental improvement—it's a fundamental shift in how we interact with technology.
It's the difference between constantly putting out fires and preventing them from starting in the first place.
Observability as a Strategic Asset
Advanced observability is the key to unlocking the next generation of technological breakthroughs. From self-optimizing smart cities to autonomous Mars rovers adapting without constant Earth supervision, Sift's technology enables the systems of tomorrow.
Our platform allows engineers to comprehend system behaviors, forecast outcomes, and guide technological creations with unparalleled precision. In a world of ever-increasing machine complexity, Sift isn't just a tool. It's the decisive advantage.
