Ipnops · prelaunch · 2026
AI for the
physical world.
Ipnops builds sovereign vertical AI for the parts of the economy that do not live behind a screen. Coastal ecosystems. Energy systems. Industrial automation. Heavy machinery and agriculture. The runtime fabric that makes them all sovereign by default.
Four platforms. One philosophy. Built for the customers who run the physical world.
01 · Mandate
For thirty years, software watched the physical world from a distance. For ten years, AI happened on a screen.
In 2026, AI moves into the world itself.
SCADA in plant rooms. GIS in environment offices. BMS in commercial buildings. Dashboards in operations centres. The world generated signals; software displayed them. Humans decided what to do.
That loop is now closing. AI watches the signals, predicts what comes next, simulates intervention outcomes, and — when authorised — acts. At the customer’s perimeter, under the customer’s key, with provenance for every decision.
NVIDIA Cosmos opened physical AI. World Labs raised $1B for spatial intelligence. The EU AI Act is fully applicable in August 2026. Vertical AI funding is up 70% year-on-year. Six convergent forces define the moment.
Ipnops is the AI-native company built for it. Four platforms covering the physical economy where it matters, composed on a sovereign runtime fabric. We do not gatekeep foundation models. We ship to operators who run real infrastructure.
02 · Platforms
Four products. Independent. Composable.
Each platform addresses a distinct corner of the physical world with deep vertical expertise. Each ships independently. Each is sovereign by design. The fourth is the runtime substrate the others sit on.
Coast
Coastal & ocean ecosystems
AI-native platform for understanding, predicting, and simulating dynamic coastal ecosystems — shorelines, reefs, mangroves, sea level. Multimodal observation, foundation-model prediction, physics-aware simulation. Built for governments, researchers, and infrastructure operators.
- Governments & island nations
- Researchers & academic institutions
- Resorts, infrastructure, insurers
Grid
Energy & physical systems
AI-native platform for understanding, predicting, and acting on energy and physical systems — at the edge, sovereign by design, from a single residence to an entire grid. Five tracks: residential, commercial real estate, utility & grid edge, cities & districts, critical infrastructure.
- Residential
- Commercial real estate
- Utility & grid edge
- Cities & districts
Industry
Industrial automation
AI-native platform for industrial systems — from a single CNC to an entire gigafactory. Six tracks: discrete manufacturing, process industries, heavy machinery, agriculture & farming, logistics & warehousing, mission-critical industrial. OEE-grade, sovereign-edge, audit-ready.
- Discrete manufacturing
- Process industries
- Heavy machinery
- Agriculture & farming
Furcate
Runtime · network · compute fabric
The runtime, network, and compute fabric for sovereign edge AI — the substrate the rest of the family runs on. From a Raspberry Pi to a Jetson cluster to an air-gapped industrial gateway. Composes the best open-source projects in edge AI into one coherent fabric.
- Builders
- Fleets at scale
- OEMs & integrators
- Research & academia
03 · Context
Six forces converging at the same time.
Each one alone would have justified building Ipnops. Together they make the company inevitable.
Physical AI
NVIDIA Cosmos World Foundation Models, CES 2026. Production partnerships with Bosch, ThunderSoft, MediaTek. Models that perceive and act on the physical world.
NVIDIA · CES 2026
Spatial intelligence
World Labs $1B Series, February 2026. NVIDIA, AMD, Autodesk on the cap table. Marble launched as the first commercially available world model.
World Labs · Feb 2026
Sovereign-AI mandate
EU AI Act fully applicable August 2, 2026. Gartner: 20 percent IaaS workload shift to local providers — geopatriation. Microsoft Sovereign Private Cloud at thousands of nodes.
European Commission · Gartner · Microsoft
Vertical AI
Vertical AI startup funding +70 percent year-on-year. Investor consensus: domain expertise beats general capability. 78 percent of vertical Series A under $1.2M ARR.
Greylock · NEA · 2026
Agentic in production
Gartner: 40 percent of enterprise applications embed AI agents by end of 2026. MCP on 10,000+ enterprise servers. A2A in production at 150+ organisations.
Gartner · Anthropic · Google
Energy as constraint
OECD: energy supply now the primary bottleneck for data centre deployment. Global clean-energy investment exceeds $2T in 2026. Edge inference becomes structural.
OECD · Calvert · 2026
04 · Customers
Built for the operators of the physical world.
Defence & intelligence
Sovereign deployments. Air-gapped operation. Coalition-network federation under explicit policy.
Public sector & sovereign
Governments stewarding coastlines, cities running their own grids, national labs running federated AI.
Energy & utilities
Distribution-system operators. VPP aggregators. Critical infrastructure. FERC 2222 markets. NERC CIP regimes.
Industrial operators
Plant operations, gigafactories, semiconductor fabs, mines, ports, refineries. Pharma 4.0 batch under GMP.
Heavy machinery & agriculture
Mining haul fleets. Construction. Forestry. Row-crop, livestock, and dairy operations at scale.
Logistics & warehousing
Fulfillment, distribution, intralogistics. AGV/AMR fleets. Picking robots. Outbound vision QC.
Real estate & buildings
CRE portfolios under disclosure mandates. BEMS at scale. Multi-unit residential. Tenant submetering.
OEMs & integrators
Hardware manufacturers embedding sovereign AI. Reference designs. Branded firmware. Long-term support.
Research & academia
Federated learning across sensor networks. On-device fine-tuning. Reproducible deployment pipelines.
05 · Principles
Six commitments the platforms share.
Sovereign by design
Inference at the customer's perimeter. EU residency, on-premise, or air-gapped — the customer chooses. GDPR, HIPAA, FIPS, NIST, CMMC, IEC 62443, NIS2 compliant. Data leaves the trust boundary only with explicit, logged consent.
Open foundations
TimesFM, Chronos, Moirai, OpenVLA, Qwen3-VL, Pixtral, PANNs, GraphCast, Gemini, NVIDIA FLARE, Flower, KubeEdge, WasmEdge, Wasmtime, Dapr, EdgeX. Cited end-to-end. We orchestrate; we do not gatekeep.
Multimodal end-to-end
PLC, SCADA, MES, ERP, OPC UA, MQTT, vision, vibration, acoustic, weather, market signals, batch records, work orders. Every signal the physical world emits is addressable; every prediction is traceable to its inputs.
Vertical, deeply
We do not sell horizontal AI. Coast knows reefs. Grid knows substations. Industry knows OEE. Furcate knows Jetsons and ESP32s. Domain expertise is encoded in the platform, not deferred to the customer.
Auditable autonomy
Every agent decision logged with the input window, the model that produced it, the simulation that validated it, the policy that approved it. Cryptographic chaining. Built for the day a regulator asks why.
Ship in production, not pilots
Surrogate models so every adapter functions without external infrastructure. Documented production deployments at every layer of the stack. Pilots are time-boxed; the bar is volume operation under audit.
Closing
AI moves into the physical world. We move with it.
Sovereign by design. Open at every layer. Acting where it matters: in the physical world, on your hardware, under your key.