Know what changed. Understand what it changes.
Nuclir turns real-time events into verified intelligence across technology, infrastructure, markets, and science. The Console gives teams a decisive view. The API delivers the same evidence into the systems that act on it.
Built on data from:
One intelligence system. Four distinct operating contexts.
Hyperscale AI developers
AI capacity is constrained by more than compute. Silicon, power, construction, networking, and industrial lead times have to be understood as one operating system.
- Track foundry, memory and packaging capacity against your roadmap
- See which sites hold power today and which are still queued
- Watch the long-lead equipment that decides an energization date
Autonomous AI agents
An autonomous system is only as reliable as the evidence it receives. Nuclir provides a current, attributable view of the external conditions behind an action.
- Query current external conditions through one typed, versioned API
- Ground every answer in a source and the moment it was confirmed
- Resolve from the edge closest to the requesting node
Energy & grid planners
New load, generation, interconnection, weather, and equipment availability now move on different schedules. Planning requires a view that connects them.
- Match generation and headroom to the compute demand behind it
- See queues, curtailment and firm capacity in one Console view
- Model weather stress against the load it will have to meet
Hedge funds & quants
Material change often appears first in filings, supply chains, infrastructure activity, and the scientific record. Nuclir makes those signals legible before they become consensus.
- Trade freight, weather and capacity signals as they resolve
- Test against a versioned record of what was known when
- Read it in the Console, execute against it through the API
A signal is not a row in a feed.
One facility arrives as a shipping manifest, a permit filing, and an orbital pass on three different days under three different names. Entity resolution decides they are the same thing, and everything each source knew becomes a property of one record.
What it holds is relationships, not columns: the capacity behind it, the power it draws, the routes it depends on, and the builds waiting on it. That is why the answer to "what is stopping this" changes the moment any one of them does.
- Capacity, tied to the facility it sits at
- Movement, tied to the route that carries it
- Power, matched to the load it actually serves
An answer is a timestamp, not a number.
Edge computing is what makes a global signal usable at machine speed. Every response is served from the edge closest to the requesting node, in sub-millisecond time, secured by post-quantum cryptographic standards for data in transit.
Nuclir keeps the timestamp attached to the value. A query returns what was known at the moment it was asked, with the source that asserted it - rather than a figure whose age the caller is left to guess at.
- Resolved at the edge nearest the caller
- Post-quantum standards for data in transit
- The moment the value was last confirmed
a query from any region returns
The systems behind a changing world.
Technology, infrastructure, markets, and science do not move independently. Nuclir follows the connections that make an event consequential, from the first signal through its operational and financial implications.
Technology
Semiconductors, compute capacity, data centers, models, hardware, and quantum systems, read as connected technical and industrial dependencies.
Infrastructure
Power, grids, energy assets, industrial capacity, logistics, and construction, connected to the systems and organizations that depend on them.
Earth systems
Weather, climate, satellite observation, and geospatial change, interpreted against assets, routes, capacity, and exposure.
Markets and science
Market structure, industrial activity, research milestones, and emerging technical capabilities, tied to the conditions that move them.
Sources in. One resolved signal out.
The value is not in holding the sources. It is in resolving them into one picture that stays current: machine learning reads every record, matches the ones describing the same facility, shipment or asset, and keeps the links between them true as the sources move underneath.
Ingest
Regulatory and registry filings, market and grid data, shipping manifests, sensor networks, and orbital observation.
scattered sourcesraw recordsSourcescontinuousRegulatory filingspublicGrid and market datapublicShipping manifestslicensedOrbital and sensor feedslicensedraw recordsResolve
Machine learning matches records describing the same facility, shipment, asset or counterparty into one entity, and the relationships between them become the intelligence layer.
raw recordsone connected pictureSignal resolutionmodel matchedshipping manifestpermit filingorbital passone facilitycapacitypowerroutesAnswer
Read it in the Console, subscribe to what changes, and pull it into your own systems over the API.
the layeryour decisionQueryone hop pathwhat is constraining this build?- Site
- waiting onEquipment
- shipped byRoute
- exposed toWeather
Evidence that keeps pace with the decision.
Evaluate Nuclir against the systems, markets, and decisions that matter to your organization. The result is current intelligence with the context needed to use it responsibly.