stech Solutions
Modular layers beneath Saga — offline AI tools, resilient platforms, and rugged field support built for sovereign operations.
Offline AI Tools
Offline AI modules that plug into Stella and Thala on your metal — Rust-built, air-gap capable, no cloud dependency.
Offline AI Tools powering autonomous operations — no cloud, no compromises
Modular offline-first AI components installed directly on your hardware — complete data sovereignty, edge ML inference, optional EU-compliant cloud logging.
Targeted at enterprise monitoring, military command prep, and space asset health — modular deploy on your hardware.
Rust & Go cores • tract on-device ML • TimescaleDB time-series • MQTT/Modbus/serial/USB • Debian/NixOS • low footprint, high throughput.
Offline AI Sensor Data Collector
Overview Real-time ingestion and anomaly detection from local sensors and IoT devices — fully autonomous even in complete network isolation.
Prevents costly manual monitoring failures during blackouts or remote operations (grid stability checks, satellite telemetry).
Integrations Incident Reporting GUI, Offline AI Predictive Maintainer, Hardy Sensor Pod.
Technical Highlights Rust core with TimescaleDB hypertables, tract on-device ML inference, MQTT/Modbus/USB/serial interfaces, Debian/Ubuntu compatible, 200–500 MB RAM footprint, concurrent multi-thread processing.
Key Advantages Handles millions of rows per second in bursts • Complete data sovereignty with no cloud dependency • Sub-second anomaly detection latency • Effortlessly scales to big data volumes offline.
Important Considerations Requires 5–10 minutes initial sensor configuration • Custom ML thresholds benefit from periodic local retraining (handled via SLA).
Team Impact Replaces sensor data analysts and operators — AI autonomously manages 80–90% of routine monitoring, freeing 1–2 FTEs per deployment for strategic work.
Best Suited For Perfect for enterprise infrastructure (Equinor grids, €20K starting), Arctic military surveillance, and space asset telemetry. DSB/FAF compliant, eligible for subsidies, delivers 4× ROI through drastically reduced downtime. Includes 1 year of free updates.
AI Command HQ Builder
Overview Automatically generates optimized, secure communications headquarters plans based on your available hardware.
Drastically accelerates setup in crisis or remote operations, turning days of planning into minutes.
Integrations Offline AI Sensor Data Collector, Incident Reporting GUI, Tough Offline Server, Rugged Field Computer.
Technical Highlights Go-based asynchronous processing, tract ML for constraint-aware plan optimization, hardware scans via lspci/ip link, NixOS/Debian compatible, hybrid CLI/GUI interface, JSON/text outputs, under 200 MB memory footprint.
Key Advantages Produces complete plans for 50+ assets in under 5 minutes • Intelligently adapts to EMP risks and other constraints • Fully modular for future expansions.
Important Considerations Best results with accurate asset input from the user • Generates plans only — implementation support available via SLA.
Team Impact Replaces traditional command planners and logistics coordinators — reduces planning time by 70%, eliminates 1 FTE per operational unit.
Best Suited For Designed for military Total Defence requisitions (€30K), enterprise emergency response teams, and orbital station setups. PST/DSB aligned, supports 5× ROI through dramatically faster deployments. Zero-G and space-hardened variants available.
Offline AI Predictive Maintainer
Overview Offline forecasting of hardware and asset failures using local logs and sensor data.
Enables proactive maintenance in isolated environments, avoiding unexpected breakdowns and extending equipment life.
Integrations Pulls data from Offline AI Sensor Data Collector, visualizes alerts in Incident Reporting GUI, deploys on Tough Offline Server or Hardy Sensor Pod.
Technical Highlights Rust implementation with TimescaleDB time-series storage, tract ML forecasting models, flexible log/sensor inputs, clean JSON reporting, optimized for edge/low-resource environments.
Key Advantages Achieves 80–90% accuracy on wear trends • Runs completely offline with full autonomy • Integrates natively with our rugged hardware lineup.
Important Considerations Model performance improves with 1–2 weeks of historical data calibration • Large datasets benefit from more powerful hardware (configurable via SLA).
Team Impact Replaces reactive maintenance technicians and predictive analysts — cuts unplanned repairs by 60%, reduces required headcount by 1–2 roles per site.
Best Suited For Critical for energy infrastructure (Statnett, €25K), military equipment longevity, and satellite reliability programs. Fully FAF/DSB compliant, proven 4× ROI from prevented failures. Ongoing model retraining available through support agreements.
Resilient Platform
Resilience modules for incident response, navigation under constraints, and edge security — integrated with your stech deployment.
Resilient Platform in action — offline decision-making during simulated no-comm crisis
Modular AI suite for incident visualization, offline autonomous navigation and edge cybersecurity — air-gapped, compliance-ready for regulated and crisis environments.
Incident Reporting GUI
Overview Visualizes sensor anomalies and generates regulatory-compliant reports with one click — simplifies oversight in high-stakes crises.
Automates 90% of documentation and auditing workload for safety officers and incident reporters.
Integrations Receives data from Offline AI Sensor Data Collector and predictive alerts from Offline AI Predictive Maintainer.
Technical Highlights Rust + egui cross-platform GUI, TimescaleDB queries, fully offline, PDF/text exports with built-in DSB formatting.
Key Advantages Intuitive charts and tables • One-click compliance exports • Lightweight under 100 MB footprint.
Important Considerations GUI-focused (mobile/web expansion via SLA) • Value depends on connected data sources.
Team Impact Replaces incident reporters and auditors — frees 1 FTE by automating documentation.
Best Suited For Ideal for energy/telecom drills (Telenor, €25K), military incident logging, space anomaly reports. DSB subsidy eligible, 4× ROI from faster reporting. Aligns with AIAA AI safety standards for space.
AI Autonomous Navigator
Overview Computes optimal paths and decisions offline for vehicles, drones or satellites in uncertain or denied environments.
Delivers 90%+ optimal routing even when comms are down — hazard avoidance without external input.
Integrations Uses real-time data from Offline AI Sensor Data Collector and Hardy Sensor Pod, runs on Rugged Field Computer.
Technical Highlights Go implementation, tract ML simulations, TimescaleDB pattern storage, constraint-based JSON route outputs.
Key Advantages High accuracy in dynamic scenarios • Fully offline for no-signal operations • Adaptable algorithms for new constraints.
Important Considerations Compute-intensive for complex maps (GPU recommended via SLA) • Requires accurate initial inputs.
Team Impact Replaces human navigators and mission planners — cuts routing roles by 50–70% in patrols or space ops.
Best Suited For Fills autonomy gaps in Arctic patrols (€35K), enterprise logistics, ESA/NASA rover missions. FAF tenders, 5× ROI from efficiency gains. Space-hardened variants available.
Edge AI Cybersecurity Scanner
Overview Detects intrusions and threats locally from network logs and system data — zero external scans required.
Provides zero-latency threat flagging in air-gapped or contested networks (e.g., Salt Typhoon-style attacks).
Integrations Analyzes logs from Offline AI Sensor Data Collector, exports alerts to Incident Reporting GUI, deploys on Tough Offline Server or Rugged Field Computer.
Technical Highlights Rust core, tract pattern detection, TimescaleDB log storage, iptables/syslog monitoring, text-based flags and reports.
Key Advantages 85–95% detection on known patterns • Minimal footprint • No latency from cloud calls.
Important Considerations Signature-based (SLA updates for emerging threats) • Tunable to reduce false positives in noisy environments.
Team Impact Replaces cybersecurity analysts and monitors — reduces team size by 60–80% for routine scanning.
Best Suited For Guards enterprise/telecom (DNV alerts, €30K), military networks, space sats (cyber threats per Brookings). PST/FAF compliant, 4× ROI from breach prevention. Booming demand in military markets.
Norway Based
Drammen, Buskerud, Norway
+47 xxx xx xxx
tim@strangstad.com
Rugged Systems & Support
Rugged hardware and hands-on crisis support — Norway-based, field-proven for air-gapped operations.
EMP/radiation-hardened servers, field computers, sensor pods + fast on-site fixes, war-ready design advice and long-term SLAs — built for extremes.
Rugged hardware and crisis support deployed in extreme conditions — EMP-proof, radiation-ready, field-proven
- 🛠️ Fast on-site fixes for HW/SW — 24/7 response, AI-assisted diagnostics, under 4 hrs turnaround
- 🔒 War-ready setup advice — secure facilities, networks, AI threat simulations, DSB-aligned blueprints
- 📡 Long-term support deals — 1–5 years, monthly fees, priority updates, automated AI patches
- ⚠️ EMP-proof and radiation-hardened hardware deployment — Tough Server, Rugged Computer, Sensor Pods
- 🤖 Local AI inference optimization — edge deployment, model tuning, sovereignty guarantees