About
We build the substrate edge AI runs on.
Coast watches the ocean. Grid watches the grid. Industry watches the floor. Furcate is the layer that lets all of them — and any other intelligence platform — run on the customer’s hardware, in the customer’s network, under the customer’s key.
Vision
The cloud was the start. The edge is where it lives.
For a decade, AI meant uploading data to a hyperscaler and waiting for a response. In 2026 that’s no longer the default. Privacy laws, network economics, latency requirements, and sovereignty concerns mean inference runs at the edge — on a Pi, on a Jetson, on an ESP32 in a sensor pod, on an air-gapped gateway in a vault. The substrate that supports this shift is what Furcate is.
We don’t train novel foundation models. We compose the best open-source projects in edge AI — runtimes, orchestrators, federated-learning frameworks, mesh networks, hardware abstractions — into one coherent fabric. Cited end-to-end. Sovereign by default.
Principles
What we build, and why.
Sovereign by design
Inference at the customer's perimeter. EU-residency, on-premise, or air-gapped — the customer chooses. GDPR, HIPAA, FIPS, NIST, CMMC compliant. Data leaves the trust boundary only with explicit, logged consent.
Open foundations, never black boxes
TensorRT Edge-LLM, LiteRT, ONNX Runtime, ExecuTorch, OpenVINO, NVIDIA FLARE, Flower, KubeEdge, OpenYurt, K3s, Akri, WasmEdge, Wasmtime, Dapr, EdgeX Foundry — all cited, all composable.
Hardware-agnostic
Raspberry Pi, NVIDIA Jetson family, Hailo, Coral, Arduino, ESP32, RP2350, ARM Cortex-A and -M, x86 — and bring-your-own custom silicon. The runtime is the abstraction; the hardware is your choice.
Composable, not opinionated
Furcate doesn't tell you which runtime to use. It composes the right one for the job — Wasm for cold-start, TensorRT for Jetson LLMs, LiteRT for microcontrollers, OpenVLA for cobots — and gives you one operations layer over all of them.
Federated-first
Raw data shouldn't leave the device. NVIDIA FLARE + Flower + ExecuTorch make that practical at production scale — Eli Lilly TuneLab, Taiwan MOHW, Tri-Labs (Sandia/LANL/LLNL) all use this pattern.
Auditable autonomy
Every model swap, every OTA campaign, every federated round is logged with cryptographic chaining. Replay viewer for operators; structured event log for auditors. Designed for IEC 62443, NIS2, and OEM customer audit regimes.
The Ipnops family
Four platforms, one philosophy.
Ipnops Coast
Coastal intelligence
shorelines · reefs · mangroves · sea level
Ipnops Grid
Energy & physical systems
residence · CRE · utility · cities · critical energy infra
Ipnops Industry
Industrial automation
manufacturing · process · heavy machinery · agriculture · logistics
Furcate
Sovereign edge AI fabric
runtime · network · compute · the layer the others sit on
Press & careers
Talk to us.
Press inquiries at press@ipnops.com. Engineering and research candidates: tell us what edge fleet you’ve actually shipped to. eng@tenzro.com.