Titan enables miniaturisation and integration in small, battery-powered, connected devices
SiTime Corporation, a precision timing company, has launched the Titan Platform, a family of MEMS resonators that are at least four times smaller than previous legacy quartzes
Titan enables miniaturisation and integration in small, battery-powered, connected devices that can power wearables, medical devices, smart home and industrial IoT. SiTime’s Servicable Addressable Market (SAM) has been expanded by Titan by $400 million, growing $1 billion within three years.
Rajesh Vashist, CEO of SiTime, said, “Titan fulfils our vision of being the only provider of complete timing components— oscillators, clocks and now, resonators. Titan is the result of over a decade of innovation in MEMS design, materials science and semiconductor process engineering. SiTime’s proprietary MEMS technology, now in its sixth generation with FujiMEMS™, is the foundation for Titan, which is years ahead of competitors. By integrating resonators into SoCs, MCUs, and wireless chip packages at scale, customers can capture more system value and revenue with their products. This integration is transformative for the entire electronics industry.”
Titan provides two implementation paths: PCB-mounted for accelerated adoption, or bare die co-packing with SoCs or MCUs to remove the need for a discrete resonator. The flexibility of the two options means OEMs and semiconductor partners can minimise product size and add new features.
Applications include:
- Wearables like smartwatches, fitness bands, continuous glucose monitors, smart eyewear, and fitness rings
- Medical devices such as biosensors, hearing aids, and implantables
- Smart home and industrial IoT, including sensors and asset trackers
Scott Hanson, founder and CTO of Ambiq, said, “SiTime’s Titan resonators are a game-changer. Our partnership with SiTime allows us to deliver a uniquely integrated solution, combining ultra-low power processing with Precision Timing. This collaboration empowers our customers to build intelligent, connected products that push the boundaries of what’s possible, especially in Edge AI applications where performance and efficiency are critical.”
