Skip to main content
AM

ApolloTech MSI

ApolloTech MSI provides autonomous robotics systems for U.S. defense, delivering rugged hardware with embedded AI processors and a sensor‑fusion autonomy stack for real‑time targeting, SLAM, and dynamic path planning. The platform integrates with existing command‑and‑control via a unified API, supports OTA updates, and includes lifecycle services such as maintenance, cybersecurity hardening, and software upgrades.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

U.S. defense units often rely on legacy platforms that lack integrated autonomy, real‑time sensor fusion, and scalable software architectures, limiting mission agility and increasing operator workload in contested environments.

Solution

ApolloTech MSI delivers end‑to‑end autonomous robotics solutions tailored to Department of Defense requirements. The company engineers custom hardware platforms that combine rugged mechanical design with embedded AI processors for on‑board decision making. Its proprietary autonomy stack fuses lidar, radar, and electro‑optical data to enable precise targeting, dynamic path planning, and adaptive mission execution without continuous human oversight. Integrated software services provide a unified API layer, allowing rapid integration with existing command‑and‑control systems and facilitating over‑the‑air updates. Ongoing support contracts ensure lifecycle maintenance, cybersecurity hardening, and iterative capability upgrades aligned with evolving operational needs.

Target Audience

Primary customers are U.S. Army, Navy, Air Force, and Marine Corps units, as well as DoD program offices and defense prime contractors requiring autonomous ground, aerial, or maritime robotic capabilities.

Features

  • Modular robotic chassis built to MIL‑STD‑810G standards, supporting payloads up to 150 kg and interchangeable sensor suites.
  • AI‑driven autonomy framework featuring real‑time SLAM, multi‑target tracking, and predictive collision avoidance using TensorRT‑optimized deep‑learning models.
  • Sensor‑fusion middleware that aggregates lidar, radar, EO/IR, and GNSS data into a unified situational awareness graph with sub‑10 ms latency.
  • Secure communications stack employing NSA‑approved cryptographic protocols and OTA firmware update capability.
  • Open‑source‑compatible SDK and ROS‑2 integration layer for rapid prototyping and interoperability with legacy defense software.
  • Cloud‑edge analytics pipeline that streams mission telemetry to a hardened data center for post‑mission debrief and machine‑learning model refinement.
  • Full lifecycle services including system integration, test‑and‑evaluation, field support, and cybersecurity compliance audits.
This profile is AI-generated and may contain inaccuracies.