Innovation engineering studio

Engineering
Tomorrow.

Cloud, AI, automation and robotics systems for organisations that need them to work in production — designed, built and operated on infrastructure we run ourselves.

DomainsCloud / AI / Automation / Robotics
DeliveryDesign to operations
ComputeGPUclusterBlackwell-class nodes plus Jetson edge devices, run and maintained in-house.
Operations24/7Workloads stay up on our own Kubernetes, not a slide deck.
DeliveryFailclosedEvery release is verified from the outside before it is called done.
SecurityZerotrustHardened by default: isolation, least privilege, audited egress.
Capabilities

Concrete systems.
Not slideware.

We take the whole problem: architecture, build, deployment and the boring operational work that keeps it running after launch.

01

Agent platforms

Multi-agent orchestration with skills, approval gates and audit trails. Consoles that complete jobs instead of chatting about them.

$ agent run --task "inspect warehouse" --gate human
planning ... 4 steps, 2 tools
vision.classify → rack A1 ok
robot.place → slot 3 ok
approval.request → waiting for operator
02

Edge and GPU infrastructure

Cluster, GPU and Jetson-class inference. We run the metal we sell ideas on.

03

Operations software

Dispatch, verification, photo evidence and human approval. Built for technicians who close work in the field.

04

Robotics and vision

Camera pipelines, classification and control loops for real machines on real floors.

CaptureClassifyPlanAct
05

Product software

Storefronts, portals and custom tools. In-house hardware partners when the enclosure matters.

deploy portal v14 → live (1m 42s)
tls ok / headers ok / smoke ok
How we work

Blueprint. Build. Operate.

Short cycles with a working system at the end of each one. You see it running, not described.

Blueprint

We map the real workflow, the constraints and the failure modes before writing a line. Output: an architecture you can argue with.

Build on live infrastructure

Built and deployed on production-grade Kubernetes and GPU hardware from day one, so nothing is discovered late.

Operate

Monitoring, hardening and iteration after launch. Systems get better with use, not older.

Product

FORGE

Describe a site, choose a visual system, and FORGE builds, reviews and publishes a working demo. Every build is screenshot-reviewed before it goes live, and you can watch the build happen.

Infrastructure

We run the metal.

Our own cluster, our own GPUs, our own edge devices. When we recommend something, it is because we operate it.

ComputeBlackwell-class GPU nodesUnified-memory inference boxes for large models and multimodal workloads.
EdgeJetson Orin fleetVision, speech and control at the edge, without a round trip to the cloud.
PlatformKubernetes, Istio, GitOpsIsolated namespaces, restricted pod security, default-deny networking.
ModelsvLLM and open weightsOpenAI-compatible serving of open models, tuned for throughput and context.
VerificationPlaywright and outside-in checksScreenshots, end-to-end tests and public-endpoint scans before release.
SecurityHardened by defaultTLS 1.3, strict headers, least-privilege RBAC, secret scanning in CI.
Contact

Let’s build it.

Gideon LaubscherEngineering, agents and operations software.
gideon@easysparks.com Talk to us