EU SOVEREIGN BY DESIGN

For the engineers building the future.

Iterate faster, build better.

Test like you fly.

Loop Machines is the AI-native engineering platform for mission-critical hardware. Centralize test data, automate failure analysis, monitor fleets in real time — agentic AI now closes the loop from prototype to production.

Request access → CLI demo
app.loop-machines.com / mint / requirements / drone-program
MINT · DESIGN SIDE
Requirements / Airframe
Table Tree Reader
Export Filter
Drone System DS
Requirement
Flight Endurance ≥ 45 min
REQ-S-001
Test Case
Hover Endurance Cycle
TC-S-014
Airframe NE
Requirement
Structural Stiffness
REQ-AF-004
Test Case
Static Load Test
TC-AF-009
Uncovered
Mass Budget ≤ 6.2 kg
REQ-AF-007
Avionics FK
Requirement
GNSS Accuracy ≤ 1.5 m
REQ-AV-002
Test Case
Position Hold Test
TC-AV-006
Requirement
Link Margin ≥ 10 dB
REQ-AV-011
Test Case
Link Budget Test
TC-AV-018
Propulsion SE
Requirement
Thrust-to-Weight ≥ 2.0
REQ-PR-001
Test Case
Static Thrust Test
TC-PR-003
Uncovered
Motor Temp ≤ 90°C
REQ-PR-008
Power TI
Requirement
Pack Capacity 22 Ah
REQ-PW-005
Test Case
Capacity Verification
TC-PW-012
Payload JM
Requirement
Payload Capacity ≥ 2 kg
REQ-PL-001
Test Case
Payload Drop Test
TC-PL-004
65%
app.loop-machines.com / fleet / overview
UTC 2026-05-28 14:32:07

Fleet · Operations Overview

LIVE · 12 ASSETS · 0.4s AGO
FLEET ONLINE 12 / 12
VERDICTS · 24H 0.0% PASS
AGENT ACTIONS · 1H 0
OPEN NCRs 0
FLEET · PX500 SERIES · 12 ASSETS
ALL OPS DEGRADED NCR
PX500-001
PX500-002
PX500-003
PX500-004
PX500-005
PX500-006
PX500-007
PX500-008
PX500-009
PX500-010
PX500-011
PX500-012
TEST AGENT · MISTRAL AI ACTIVE
  • 14:32:01 CLUSTERGrouped 3 NCRs on PX500-002 — root cause: thermal drift.
  • 14:30:48 VERDICTRe-ran REQ-PROP-02 vs ModeThreshold v3 → PASS.
  • 14:28:12 BINDINGDrafted REQ-IMU-09 → IMU-bench-04 for review.
24 actions / 1h mistral-large-2.1 conf 0.91
VERDICTS · LIVE FEED 1,847 TODAY
14:32:07 REQ-PROP-02 PX500-001 ✓ PASS
14:31:54 REQ-BAT-04 PX500-005 ✓ PASS
14:31:32 REQ-COMM-01 PX500-002 ✗ NCR-138
14:31:18 REQ-IMU-09 PX500-007 ✓ PASS
14:31:02 REQ-PROP-04 PX500-010 ✓ PASS
MINT · DESIGN MOBS · EVIDENCE
02 · MISSION-CRITICAL ENVIRONMENTS

Wherever failure is not an option.

Defense. Space. Robotics. Drones. Autonomy. Five verticals, one verdict pipeline — closing the loop on the machines that can't afford a second chance.

/ 01

Defense

Hardened telemetry for tactical platforms and C4ISR. Air-gapped, classified-ready deployments.

STANAG 4586 MIL-STD-1553 DDS
AIR-GAP TIER 3 · ITAR-READY
/ 02

Space

Pre-launch test campaigns, in-orbit health, ground-station replay. Slow links, hard deadlines, unforgiving physics.

CCSDS ECSS MCAP
ECSS-E-ST-40 · DO-178C ADJACENT
/ 03

Robotics

Closed-loop control for humanoids, industrial arms, and mobile platforms. Joint-level telemetry to fleet-wide policy.

ROS 2 OPC UA MCAP
ISO 10218 · IEC 61131
/ 04

Drones / UAS

Swarm-scale flight telemetry, range testing, post-flight forensics. Ground-truth every sortie against design intent.

MAVLink PX4 / uORB ULog
DO-178C · EASA SORA
/ 05

Autonomous vehicles

Sensor-fusion validation, edge-case mining, scenario regression. Test-track-to-public-road data fabric.

CAN AUTOSAR MCAP
ISO 26262 · SOTIF 21448
03 · ENGINEERING INTELLIGENCE

Engineering intelligence integrations.

MINT begins by absorbing the context that already exists. Requirements managers, code, simulation, PLM, MES, ERP, lab capture, knowledge bases — ten classes of source, ten read-only adapters, one resolved engineering context.

That resolved context is the substrate both products read from. MINT proposes designs against it, MOBS evaluates evidence against it, and AI agents query it through MCP — so every model decision and every verdict cites the same SHA-stamped truth. Engineers reach the same context from the terminal through the LM CLI.

SHA 8A4F2C 10 ADAPTERS
HUB · MINT.CONTEXT.RESOLVE(T) 10 / 10 SYNCED
10 SOURCE CLASSES · READ-ONLY · RESOLVED → MINT.CONTEXT @ SHA 8A4F2C
TECH · 04

A new species of product tool. Purpose-built for modern teams with AI workflows at its core, Loop Machines sets a new standard for designing and testing mission-critical hardware.

Built for purpose

Shaped by the practices of world-class hardware teams.

Powered by AI agents

Workflows shared by engineers and AI — drafting tests, closing the loop.

Designed for speed

Reduces noise, restores momentum — teams ship at velocity.

PRODUCT · 05

2 products, one loop.

MINT Mission Intelligence — the design side. Architecture, requirements, V&V plans.
MOBS Mission Observability — the evidence side. Telemetry, verdicts, NCRs across the fleet.
Design. Test. Observe. Evaluate. Improve.

Mission-critical fleets produce a data cardinality explosion — 10M events per second across dozens of variant-level assets. Off-the-shelf observability tools break way before this scale; in-house pipelines hold until the fleet grows, then the stack has to be rebuilt and a dedicated team kept on just to maintain it. Data silos are one of the main challenges the platform unblocks — accelerating the engineering loop from design to verification.

SPEC · 01
10M evt/s
Data throughput
SPEC · 02
100K paths
Signal cardinality
SPEC · 03
10K assets
Multi-asset fleet
06 · LM CLI

Claude Code, for mission-critical hardware.

The lm CLI is a terminal for your fleet. LLM-powered, with hardware-engineering skills authored alongside industry experts — sharper every time your team runs them. Automatic coverage-gap detection, cross-version anomaly mining, causal-chain tracing back to root requirements — all grounded in real fleet evidence, every command SHA-stamped and re-runnable forever.

/intel

Search the engineering graph in plain English — requirements, verdicts, causal chains, fleet evidence.

/coverage

Detect uncovered requirements; agents author the missing test plans against real fleet data.

/anomaly

Cross-fleet outlier detection across versions, modes, and assets in seconds.

/trace

Walk causal chains forward or backward — verdict ↔ ModeThreshold ↔ root requirement.

/diff

Compare verdicts across versions with cohort delta and full provenance.

~ — lm v2.4.7 EU-sovereign · connected
Loop Machines
Welcome back, Daniel.
Projectdrone-v3 Branchbase · v3 OrgEXAMPLE-CO Agentmistral-large-2.1
connected · EU-region · ABAC scoped
Tips for getting started

Run /intel "your question" to search the engineering graph in plain English. Use /coverage gap to surface untested requirements and auto-generate the missing plans.

What's new in 2.4
  • /diff now traces causal chains across versions
  • /anomaly detect spans fleet versions + variant lineage
  • /trace --backwards walks REQ → system goal → mission
  • Agent actions auto-stamped with reproducibility triple
drone-v3 · base · v3 EXAMPLE-CO · EU-region context: 1,847 tokens mistral-large-2.1 ready
MISSION OBSERVABILITY PLATFORM · 07

Manage, monitor, analyze, collaborate.

Four loops, one platform. Centralize every test data source, watch the fleet in real time, surface root cause automatically, and share the answer with the people who need it.

/ 01 · MANAGE

Centralize.

Every test data source — bench, HIL, field, fleet — in one queryable surface. No more 14 spreadsheets and a Slack thread.

/ 02 · MONITOR

See the fleet, live.

Real-time visibility into hardware performance across every deployed unit. Alerts that mean something, not noise.

/ 03 · ANALYZE

Automated root cause.

Agentic AI proposes the failure mode, ranks likely causes, and shows the evidence. Hours of forensics — minutes.

/ 04 · COLLABORATE

Share with context.

Permalink any signal, any window, any analysis. Engineers, ops, and leadership look at the same thing — at the same time.

Loop Machines platform UI on an iMac in an engineering workshop, with drones and lab gear in the foreground
08 · INTEGRATES WITH TRUSTED TOOLS

Speaks the languages your engineers already use.

Drop Loop Machines into the stack you've built. Native bindings for the simulation, analysis, and cloud tools that already run your engineering org.

MATLAB & Simulink SIMULATION
Python & Jupyter ANALYSIS
NI LabVIEW DAQ / HIL
ROS & ROS 2 ROBOTICS
AWS IoT & Azure CLOUD
REQUEST ACCESS

Close the loop on your fleet.

Loop Machines is currently in private preview with a handful of deep-tech teams. Tell us about your fleet — we'll be in touch within 48 hours.

Request access → Talk to engineering