Distributed intelligence at the terra‑orbital edge

Logistics & supply chain

Keep intelligence moving with every shipment.

Connect warehouses, vehicles, and remote facilities to the compute each task needs. Calculate travel times and distances, compare routes, and adapt shipment plans as connectivity and conditions change.

Maritime

Coordinate operations beyond the shoreline.

Run models onboard and prioritize what travels over satellite or radio. Shift suitable workloads between vessels, offshore systems, and shore compute as coverage and available capacity change.

Autonomous vehicles

Bring intelligence closer to every vehicle.

Process sensor data on the vehicle and route suitable tasks to nearby or remote compute. Coordinate model selection and data transfer as coverage, power, and workload demands shift.

Telecommunications

Adapt compute to the network.

Match network workloads to available compute across distributed sites. Select models, bands, and transport paths using current conditions, with inference close to the systems generating data.

Aerospace

Connect intelligence across orbital links.

Coordinate workloads across airborne, orbital, and ground systems. Use constellation geometry and link conditions to plan data movement, anticipate line-of-sight interruptions, and prepare handoffs.

Defense

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Imagery

Analyze satellite imagery at planetary scale.

Run large-scale object detection, pattern of life, and image segmentation workloads over satellite, aerial, and drone imagery across distributed compute.

Darkmatter autonomously partitions and distributes context across the mesh to be processed in parallel: no need to downsample or sacrifice resolution.

Video

Make every frame count.

Run frontier vision models over live and archived video from drones, body-worn cameras, fixed sites, and satellites, with object detection and tracking, re-identification across cameras, activity and anomaly recognition, optical flow, scene segmentation, and change detection at native frame rates.

Tokenize once at the source and process in place: compute and bandwidth scale with the signal rather than the footage, and only the tokens that matter cross the link.

Geospatial

Put location intelligence to work.

Scale reasoning efforts across computationally intensive geospatial workloads like last-mile logistics, site selection and planning, fleet and asset tracking, and coverage analysis.

Tasks like map matching, routing and isochrones, point-in-polygon spatial joins, elevation and line-of-sight, multi-origin/multi-destination time and distance matrices, and clustering are no longer bottlenecked by a model’s context window.

Audio

Turn live signals into intelligence.

Process historical or streaming audio with multilingual voice activity detection, speaker embedding extraction, arrival-time sorting, clustering, keyword/key phrase extraction, anomaly detection, and translation services across speech‑to‑speech, speech‑to‑text, and text‑to‑speech interface models.

With Darkmatter you can now analyze audio data at the source, in real time, regardless of velocity or scale.

Time series

Find the signal in every sequence.

Analyze sensor readings, equipment measurements, demand, and other data that changes over time. Detect anomalies, compare operating patterns, and forecast what comes next.

Align streams across sources and distribute analysis by time window or asset. Run inference close to the signal and send the changes that matter across the mesh.

Text

Turn unstructured text into usable context.

Extract meaning from documents, messages, reports, and knowledge bases. Classify content, identify entities, summarize findings, and turn passages and tables into structured records.

Partition large collections across the mesh, retrieve relevant context, and route each step to the right model while keeping results connected to their source material.