Sensignal Labs

A networking company with a research lab attached.

The planned Sensignal Labs pipeline runs research through agents and simulation first, and reaches physical hardware only when an experiment justifies it. A person reviews every result before it becomes a product decision.

Planned pipeline

Simulate first. Build only when justified.

Can simulation answer it? Simulate. Can open hardware or software answer it? Integrate. Does it need expensive specialist equipment? Partner first. Does it need regulatory permission? Don't transmit until authorized.

  1. SEN-1 Studio
  2. Research agents
  3. Simulation
  4. Virtual lab
  5. Physical lab
  6. Reproduction
  7. Founder review

Infrastructure

Lab roadmap

These are research targets: planned or being assembled. This page will say when specific equipment is actually in use.

Software lab

Containerlab, FRRouting, OpenWrt, Linux namespaces, Docker/Kubernetes, Batfish, Mininet, traffic generators, network emulators, and radar/LiDAR/RF simulators where practical.

Small physical lab

Representative Cisco, Juniper, Aruba, MikroTik, Ubiquiti, OpenWrt, pfSense, and OPNsense equipment; managed switching; Wi-Fi 6E/7; servers and hypervisors; GNSS receivers; SDRs; HaLow hardware; optical transceivers and fiber tools; smart PDUs and UPS.

Later specialist labs

A shielded, controlled RF environment, phased arrays, radar development boards, LiDAR sensors, private-5G/Open-RAN test equipment, optical/free-space communication hardware, and authorized receive-only satellite equipment.

Method

The research loop

Negative results are recorded too. A simulator result isn't real-world validation.

  1. Watch the field
  2. Collect papers, standards, repos, patents, products
  3. Identify an unanswered question
  4. Form a falsifiable hypothesis
  5. Design the cheapest valid experiment
  6. Simulate first
  7. Virtual lab
  8. Physical lab only when justified
  9. Measure against a baseline
  10. Reproduce
  11. Record positive and negative results
  12. Founder decision

Cross-disciplinary programs

Where the pillars meet

Autonomous Infrastructure

Networking, servers, services, virtualization, and containers, with repair, verification, and rollback.

Network Weather

Local telemetry, Internet routing, RF, environmental signals, and history.

Physical + Logical Digital Twin

Topology, configuration, RF, fiber, power, thermal, and physical location.

Universal Connectivity

One intent layer across Ethernet, Wi-Fi, cellular, satellite, optical, DTN, and unusual media.

Physical AI Networking

Networks for robots, vehicles, drones, and autonomous machines.

Sensing + Communications

Radar, Wi-Fi sensing, cellular ISAC, and RF sensing alongside communication.

Earth–Space Networking

One architecture from ordinary LANs to satellites, lunar networks, and deep-space DTN.

Extreme Resilience

Operating through power loss, disaster, disconnection, and equipment failure.

Open Networking

OpenConfig, SONiC, white-box hardware, open adapters, and community repair skills.

Research Data

Incident and repair-outcome data, Flight Recorder history, an RF corpus, the Observatory, and opted-in field outcomes.

AI Research Automation

Agents that read, hypothesize, simulate, reproduce, and report continuously.

Networking for Public Good

Emergency, rural, community, environmental, and scientific networking.

Safety and regulation

Research stays inside the rules

No RF transmission outside approved lab conditions, no unauthorized networks, and no customer data in research without consent.

  • Spectrum, FCC/NTIA, and experimental-radio requirements where applicable
  • FAA/UAS rules for aerial-network experiments
  • Automotive functional-safety and cybersecurity requirements
  • Laser and optical eye safety for LiDAR and free-space optical research
  • Radar emission and coexistence constraints
  • Satellite/space communications licensing and operator authorization
  • Export-control review for RF, encryption, aerospace, or sensing technology
  • Privacy for Wi-Fi, RF, location, and sensing data
  • Critical-infrastructure security requirements
  • Responsible vulnerability disclosure