Models detect. Sentinel answers.
Sentinel watches the feed, geolocates every detection, reasons across frames, and drafts the report — before the mission is over. Operators get a decision-ready answer in the form they can act on.
< 60s Feed to finished report
Perception system, end to end.
Sentinel is the system that turns a feed into an answer. Watches, reasons, geolocates, quality-gates, disseminates — handing operators decision-ready intelligence in the form they can act on. Sensor-agnostic. Runs at the edge, on-prem, or in the cloud. Configures per domain: defense ISR, infrastructure inspection, long-dwell monitoring.
01 // REASONING
Reasons across frames
Sentinel behaves as an agent: working memory, tool use, a SALUTE-style changelog, and citations back to the evidence it reasoned from.
02 // GEOLOCATION
Every detection gets a fix
Four-level geolocation fallback — telemetry, derived, sensor-inferred, frame-center — so every detection resolves to a lat/lon with operator-trustworthy confidence.
03 // COMPOSABLE
Tell it what you need.
Describe the mission, the entities, the reports you want out. Sentinel pulls the right skills from its library — detection, tracking, change detection, defect classification — and sets itself up. New deployment, same system underneath, configured in plain English.
04 // INGEST
Speaks the standards
MISB-compliant KLV ingest across EO/IR, radar, and survey platforms. Plug into what you already run.
05 // OUTPUT
Decision-ready intelligence
SALUTE reports, condition summaries, and change reports drafted before the operation is over. Every claim cites the evidence it came from — auditable end-to-end.
06 // DEPLOYMENT
Runs where the mission is
Cloud, on-prem, or edge hardware when the network isn't an option — including Jetson-class devices. Plugs into the systems operators already run: Firestorm, CoT, GIS, BIM, CMMS.
Feed in. Answer out.
Most vision stacks stop at detection. Sentinel runs the whole loop — raw feed to a geolocated, reasoned answer — inside one auditable system. The operator gets the answer; the system keeps the receipts. Every claim cites the evidence it came from.
Same system. Different mission.
Every mission is really the same job: more signal than any operator can process, a decision that still has to be made in the time available. Sentinel closes that gap — sensor-agnostic, composable by skill, the same pipeline that triages ISR feeds for a defense prime drafts condition reports for a utility. Different missions, the same answer-shape: geolocated, cited, decision-ready, in the form an operator can act on.
Defense & ISR
Full-motion video intelligence, without the analyst queue.
Sentinel triages ISR feeds in real time, flags the frames that matter, geolocates every entity, and drafts SALUTE reports before the mission is over — freeing analysts to decide instead of scrub.
Infrastructure · Sentinel Survey
Tower, transmission, and solar inspections — 10× per engineer.
Sentinel watches the drone footage, identifies defects against the relevant standard, and drafts the condition report. Your P.E. reviews and signs. One human in the loop, at the signature line.
Space & SDA
On-orbit perception, plus the data to train for it.
Sentinel adapts to space-grade sensors and orbital imagery; Seahaven generates the scenes real data hasn't shown the model — rendezvous, debris, surface change, on-orbit anomalies. Long-dwell observation, without the ground-link bottleneck.
Industrial & Robotics
Perception that travels with the asset.
Warehouse, yard, mine, manufacturing — the settings where edge cases outnumber the normal ones. Sentinel's pipeline handles the long-tail; where the real world hasn't shown enough examples, Seahaven fills the gap.
For the cases the real world hasn't shown you yet.
Seahaven is Lexset's parametric 3D engine — photorealistic, fully annotated training data generated on demand. It is its own product: enterprise CV and ML teams use it directly, whether or not they ever touch Sentinel.
Training data, on demand.
Drop in your 3D assets. Describe the scene distribution you need — lighting, weather, sensor noise, camera intrinsics, defect taxonomy. Seahaven generates a photorealistic, fully annotated dataset with pixel-perfect ground truth, in the time it takes to get coffee.
01 // SPEED
Generate datasets that used to take months in minutes. Build, train, evaluate, iterate — at software speed. Drops into PyTorch, TensorFlow, and the training pipelines your team already runs.
02 // LABELS
Every pixel is already labeled. RGB, semantic segmentation, instance masks, depth, normals, 3D poses — free, exact, by construction.
03 // CONTROL
Dial the long tail. Parameter-drive lighting, materials, weather, occlusion, sensor noise. Engineer the failure modes that actually matter to your mission.
Two products. One discipline.
Sentinel stands on its own — a perception system, fielded. Seahaven stands on its own — synthetic data, at software speed. They share a discipline: build for the world as it actually shows up, and generate the cases it hasn't shown you yet. Each product works alone. Together, they compound.
Who we build for.
Lexset serves teams that need perception to work the first time, outside the lab, under conditions no dataset has ever perfectly captured. The buyer changes; what Sentinel hands back doesn't — a decision-ready answer the operator can act on.
Defense & Intelligence
Primes, integrators, and government programs deploying perception where adversary pressure and operational tempo leave no room for lab-grade assumptions.
Infrastructure & Inspection
Utilities, tower companies, solar O&M, transmission, and the engineering firms that serve them — shipping condition reports at the pace the grid actually needs them.
Enterprise ML & CV
Perception teams at Fortune 500 and late-stage startups who've run out of real data and need to engineer their training distribution on purpose — on Seahaven, standalone.