SHU is a Forward Deployed Engineering company. Our engineers embed with the customer and build the layer that makes a frontier model useful on their business: Ingestion-Time Intelligence that turns scattered documents into connected knowledge, and orchestration across models, agents, data and systems — all of it running where the data already lives.
SpaceXSI’s Transformation Partners deploy Grok across the enterprise through Forward Deployed Engineers who embed with customers, ship production systems, and deliver tangible business value. SHU is built for exactly that motion.
Our engineers join the work rather than review it. We deploy into the customer’s VPC or on-prem, so the team that scopes the problem is the team that ships the fix — they stay inside the customer’s perimeter, and so does the runtime.
A model-agnostic runtime that runs Grok alongside other models, with enterprise access controls already in place. From scoped use case to running workflow — without waiting on external cloud approvals.
The environment that runs the pilot runs production. Data never leaves the customer’s estate, so governance stops being a blocker and starts being a measurable advantage.
The model is the easy part to buy. The work is turning scattered systems into knowledge a model can actually reason over, and keeping it current.
The environment that runs the pilot is the one that runs production.
Stop proving it in a sandbox. Running a Transformation Partner practice, or building toward one? We’ll show you the private layer that makes Grok deployable on data that can never leave the building.
SHU is a services company. Our engineers deliver private AI inside your environment, against an outcome agreed up front and reported on in the open — here is what an engagement includes.
We stand SHU up inside the customer’s VPC or on-prem estate, wired to their identity provider and their network boundaries.
Engineers embed with the problem owners, scope the workflow against real data, and stay until it is running in production.
Connect the systems the work actually depends on. Ingestion-Time Intelligence comprehends each document the moment it lands.
Access policies per knowledge base, full audit trails, and model routing — so what ships can be defended to a regulator.
Ingestion-Time Intelligence moves comprehension, mapping, entity recognition, document linking and query preparation to the moment data is ingested, rather than at query time. For a Grok rollout on sensitive data, that structural change is what makes the difference between a demo and a system an enterprise will keep running.
The comprehension work is already done, so each Grok call carries a prepared index instead of a pile of raw chunks — the basis of SHU’s 5–50× efficiency over standard RAG.
Entities and document links are resolved at ingest, so answers come back with real references — the thing auditors and regulators ask for first.
Indexing happens inside the customer’s estate. Grok is put to work on the data without the data ever leaving the building.
Get your own private Grok AI stack — live by the end of the day.
Get StartedBeta available now — start today
