Bioelectronic Medicine & Neurostimulation

Nalu Medical Micro-IPG

by Nalu Medical, Inc.

4.1
0

Ultra-miniature rechargeable neurostimulator enabling precise spinal cord and peripheral nerve stimulation for chronic pain

Category

Bioelectronic Medicine & Neurostimulation

Founded

2015

Headquarters

Carlsbad, CA, USA

Overview

Nalu Medical has developed the Nalu Neurostimulation System, featuring the world's smallest rechargeable implantable pulse generator (micro-IPG) for spinal cord stimulation (SCS) and peripheral nerve stimulation (PNS). The micro-IPG is the size of a fingertip and is implanted directly at the stimulation site — adjacent to the spinal cord or peripheral nerve — rather than in a remote body pocket connected by long lead wires, as in conventional SCS systems. An external wearable patch communicates with the implant wirelessly and provides power via near-field magnetic induction, enabling wireless recharging without wired connections while allowing the patient to wear the patch discreetly under clothing. Pain management specialists, neurosurgeons, and anesthesiologists use Nalu's system for patients with chronic pain from failed back surgery syndrome, complex regional pain syndrome (CRPS), peripheral neuropathy, and post-amputation pain. The miniaturized implant's anatomical placement — directly at the target nerve — enables more precise stimulation with lower energy requirements than conventional distant-IPG approaches, and the absence of a separate lead extension wire eliminates a common failure mode in traditional SCS systems. FDA clearance for the Nalu system was obtained in 2019. Nalu Medical's key differentiations are implant miniaturization, lead-wire elimination, and wireless power transfer without a large transcutaneous coil or external battery pack. The micro-IPG form factor opens SCS therapy to patients who previously declined implantable devices due to concerns about body image, surgical recovery, or MRI incompatibility. The system is fully MRI-conditional at 1.5T and 3T, a significant advantage over older SCS devices. Nalu has received funding from Sutter Hill Ventures and other medtech investors and is expanding its commercial footprint across major US pain management centers.

Key Features

Miniaturized Implantable Devices

Ultra-small implantable neurostimulators for precise modulation of specific neural circuits.

Non-Invasive Neurostimulation

Transcranial and peripheral neurostimulation options providing therapy without surgical implantation.

AI-Driven Personalization

Machine learning optimizes patient-specific stimulation patterns for improved outcomes.

Multi-Indication Platform

Configurable platform supporting chronic pain, depression, epilepsy, and inflammatory disorders.

Biomarker-Guided Dosing

Neural and physiological biomarkers guide optimal stimulation intensity and timing.

Pros & Cons

Pros

  • +Non-invasive neurostimulation options provide therapeutic benefits without surgical implantation
  • +AI-driven patient-specific stimulation patterns optimize treatment outcomes
  • +Clinical evidence supports efficacy for chronic pain, depression, epilepsy, and inflammatory disorders
  • +Reduced drug dependency through bioelectronic alternatives to chronic pharmaceutical treatments
  • +Targeted nerve stimulation treats chronic conditions without pharmaceutical side effects
  • +Closed-loop systems adjust stimulation parameters in real-time based on physiological feedback

Cons

  • Device implantation requires specialized surgical expertise not widely available
  • Battery life limitations may necessitate replacement procedures for implantable devices
  • Mechanism of action not fully understood for many neurostimulation therapeutic applications
  • Long-term safety and efficacy data for novel neurostimulation approaches remains limited
  • Patient variability in nerve anatomy creates challenges for consistent treatment outcomes

Use Cases

Research Workflow Optimization

AI-powered optimization of research workflows to accelerate discovery timelines and improve reproducibility.

Data Analysis & Insights

Machine learning analysis of complex biological datasets to extract actionable insights and identify patterns.

Collaboration & Knowledge Management

Platform-enabled collaboration across distributed research teams with integrated data sharing and knowledge capture.

Last updated: February 19, 2026