Practical Over Theoretical
We build working instruments, not position papers. Herald MSMO embodies our commitment to tangible scientific progress.
FAESR believes artificial intelligence should create abundance, not scarcity. We prove this through practical tools that advance human knowledge while remaining accessible to researchers, educators, and citizen scientists worldwide.
We build working instruments, not position papers. Herald MSMO embodies our commitment to tangible scientific progress.
Open-source software, published methodologies, community governance. Every algorithm is auditable, every process documented.
You own your observations. Choose Sovereign mode for complete local control, or Federated mode to contribute to open science—your data, your choice.
Technology should multiply opportunities. As production scales, we pass savings to customers—not extract maximum margin.
An automated space research station for citizen scientists. Herald monitors satellites, detects meteors, captures transient events, and times occultations— all from a single turnkey system. Software defines the mission. Real science, your roof.
Wide-field detection triggers precision measurement. When Herald spots a satellite pass, meteor, or transient event, the AI pipeline coordinates all sensors to capture the science you need.
Same hardware, different modes. Tonight track satellites; tomorrow catch Perseids; next week time an asteroid occultation. All software is 100% open source— inspect every algorithm, modify anything, contribute back. Your observatory, your rules.
Software-defined operation lets Herald switch between observation modes based on schedules, alerts, or your research priorities.
Ingest TLEs, predict passes, capture light curves. BVRI photometry characterizes surface materials, tumble rates, and anomalies. Space situational awareness from your backyard.
Wide-field trigger camera catches events, photometry system measures standardized magnitudes. Shower association, fireball alerts, and radio correlation for 24/7 coverage.
Sprites, elves, and upper-atmosphere phenomena. High-speed capture on sensitive sensors catches millisecond events 50-90km up. Real science gap, citizen networks are sparse.
Star blinks out when asteroid passes in front. High-speed photometry nails precise timing. Coordinated networks measure asteroid shapes and discover moons.
Standardized astronomical filters produce magnitudes directly comparable to professional observatories. Your data integrates with global databases across all modes.
Detection, classification, alerting, and station adaptation. Learns your local conditions, correlates multi-sensor data, and routes observations to the right analysis path.
Herald doesn't reinvent the wheel. We integrate battle-tested open-source engines under a unified scheduling layer that handles the hard problem: resource contention.
Your camera can't run meteor detection and satellite tracking simultaneously. The Agent is a priority scheduler that manages this contention. It holds the master schedule, knows an ISS pass is coming at 04:15, pauses meteor detection at 04:14, hands the camera to the satellite tracker, captures the pass, then resumes meteor watch. No conflicts, no missed science.
Each mission runs on established, community-vetted software. Meteor detection uses RMS (Global Meteor Network standard). Satellite prediction uses Skyfield/SGP4. Photometry uses SEP or AstroPhot. Radio meteor scatter uses Echoes. We orchestrate—we don't replace what already works.
A dedicated Raspberry Pi 5 with 16GB RAM and Hailo-8L AI accelerator (13 TOPS) runs lightweight trigger models at frame rate. "Something bright moved" or "RF spike detected" decisions happen in milliseconds. Dual NVMe storage buffers raw frames locally—what to keep gets decided after. This proven architecture powers 300+ scientific meteor stations worldwide.
Heavy classification happens after capture. In Federated mode, events upload to cloud infrastructure for deep analysis and multi-station correlation. In Sovereign mode, raw FITS data streams to your local network—bring your own RTX 5090 or compute cluster for custom ML pipelines. The edge handles autonomous operation while power users push boundaries with experimental analysis.
Triple-Optics Architecture: All three cameras are co-aligned. Mars-C II targets a specific deep-sky object and dictates pointing. Ares captures BVRI photometry on stars in that field. Ceres captures continuous H-alpha emission data. Three complementary datasets from one pointing.
Regional Note: European stations can use GRAVES radar (143.05 MHz) for radio meteor detection. The US lacks an equivalent always-on VHF source. We're evaluating alternatives including distant FM stations, NOAA weather radio, and aircraft beacons. Radio meteor capability in North America is experimental pending further testing.
Power Users: All raw FITS data accessible via local network API. Bring your own GPU rig for custom ML pipelines—the Pi handles autonomous operation while your hardware runs experimental analysis.
Building a geographically diverse observation network across USA & Canada. Buy one, sponsor one for a school, or apply for a sponsored station.
For citizen scientists
Fund a station for a school
For schools & research institutions
Sponsor multiple stations or contribute equipment to build the founding network. Your brand on research stations across North America.
Fund multiple stations at $7,999 each. Recognition on each station, in the Founding Network, and on our website. Tax-deductible STEM contribution.
Get your gear into 25+ educational institutions. Donate components at cost or fund complete stations. Students learn on your equipment.
Donate cameras, optics, filters, or other components. We handle assembly, delivery, and support. Your contribution recognized on every station.
STEM education grants, science outreach funding, workforce development programs. Herald stations deliver measurable educational outcomes.
Pool resources to sponsor a station for your local school or science center. Group recognition for your organization.
Real testimonials from educators and researchers. Students becoming lifelong customers. Press coverage of your STEM investment. Concrete impact, not just a logo.
Herald uses a split-brain architecture: time-critical decisions happen locally with zero latency, while deep analysis can leverage cloud compute. You control what stays on your machine.
Trigger detection and frame buffering run entirely on your hardware. A meteor crosses your frame in 200ms—there's no time for round-trips. Local means instant.
All processing local. Deep analysis runs on your GPU after capture. Data never leaves your machine. GPU requirements TBD after final optimization and testing.
Edge detection local, deep analysis cloud-assisted. Multi-station correlation finds patterns no single observer could. Free forever. Contribute to open science.
Last night, 47 stations captured data. Cloud processing correlates optical + radio across the network. Multi-modal validation eliminates false positives.
Switch anytime. Export everything. No lock-in. We believe your observations belong to you—always.
Federated mode offloads heavy analysis to the cloud. Edge detection runs lean. No high-end GPU required to contribute real science.
All Herald software is 100% open source. Transparent development, auditable algorithms, and a global network of citizen scientists advancing space observation together.
Herald MSMO (Multi-Space Measurement Observatory) is an automated space research station for citizen scientists. It tracks satellites, detects meteors, captures transient events like sprites, and times asteroid occultations—all from a single turnkey system with software-defined mission modes.
Sovereign mode runs all processing locally on your hardware—data never leaves your machine. Federated mode keeps edge detection local for real-time response, but uploads captured events to cloud servers for deep analysis and multi-station correlation. Both modes use the same split-brain architecture where time-critical decisions (trigger detection) always happen locally.
None required. Herald includes a dedicated Raspberry Pi 5 (16GB) with Hailo-8L AI accelerator that handles all edge detection, classification, and autonomous operation. Federated mode uploads events to cloud for deep analysis. Power users wanting custom ML pipelines can tap raw FITS data via local network API and run their own GPU rig (RTX 5090, etc.) in parallel—the edge system keeps running independently.
European stations can use GRAVES radar (143.05 MHz) for radio meteor detection. The US lacks an equivalent always-on VHF source. FAESR is evaluating alternatives including distant FM stations, NOAA weather radio, and aircraft beacons. Radio meteor capability in North America is experimental pending further testing.
Yes, 100% of Herald software is open source. This includes the Agent (priority scheduler), all integrations with existing tools (RMS, Skyfield, SEP, AstroPhot, Echoes), and the edge/cloud processing pipeline. Every algorithm is auditable and you can modify anything.
Founding Network launches Q2 2026 with 50 stations across USA and Canada. 25 Founders Edition units available for $7,999 with hand delivery and on-site setup. 25 sponsored stations donated to schools and research institutions through corporate and manufacturer partnerships. Mass production follows successful network validation.
50 stations across USA & Canada. 25 Founders Edition for citizen scientists ($7,999 with hand delivery). 25 sponsored stations for schools and research institutions. All curated for site diversity—desert, coastal, high altitude, dark sky, and urban environments.
Citizen scientists, schools, research institutions, and potential sponsors welcome.