Texer.ai builds a programmable compute fabric for edge AI and signal processing on camera, audio, and real-world sensors.
From sensor workload to silicon.
Become a design partnerAI and signal processing now run inside cameras, microphones, and machines, sensing and reacting on-device instead of in a datacenter across the network.
Off-the-shelf parts don’t fit the edge: GPUs are too power-hungry, microcontrollers too weak, and fixed AI accelerators too rigid to match your workload.
A workload-specific chip would fix it, if building one didn’t take a specialist team and years.
Texer.ai builds sensor-native accelerators: a programmable fabric that runs your AI model or signal pipeline right next to the sensor. You bring the workload; we map it onto the fabric, verify it, and deliver it on hardware.
Custom edge chips should be as accessible as custom PCBs.
A fabric of millions of tiny programmable units instead of one giant GPU. Useful compute per transistor, at the precision the workload actually needs.
We map your sensor stream and workload onto the fabric, verify it under real constraints, and iterate until it fits.
Start on an FPGA dev board. Graduate to custom silicon once the volume is there. Same workflow, all the way down.
Drag in your model or signal pipeline and the sensor stream it runs on. No EDA setup, no foundry calls, no ASIC team to hire.
We map the workload onto a fabric of small programmable compute units, verify the design, and iterate until it fits.
We handle prototyping and delivery. A working accelerator lands on an FPGA dev board. Plug in, start testing, with a clear path to custom silicon.
Grab 30 minutes with us. Tell us what you’re building at the edge.