Confidential compute
TEE / enclave isolation, measured launch, remote attestation, sealed state, and confidential inference when the selected hardware and runtime support it.
Infrastructure · runtime · trust
Make the enabling stack part of the product.
Software and AI products inherit the limits of their compute, data paths, runtime controls, security model, and operating boundaries. Those dependencies belong inside the product design, not outside it as late infrastructure work.
We design and qualify the surrounding stack so the customer can make deliberate tradeoffs about capacity, latency, isolation, portability, cost, and ownership.
Compute capacity
If the idea depends on a GPU fleet, the capacity has to be real.
For fleet-scale work, our provider qualification starts at 100+ GPU-capable nodes and evaluates the fabric, storage, scheduler, isolation, telemetry, support, reservation model, and expansion path around them.
100+ GPU-node provider qualification floor
C01
100+ GPU-capable nodes in a coherent fleet
C02
Dedicated or contractually reserved capacity
C03
High-bandwidth east/west fabric
C04
Checkpoint, dataset, artifact and model storage
C05
Scheduler, quota and tenancy controls
C06
Workload identity and tenant isolation
C07
Fleet observability and failure telemetry
C08
Capacity reservation and scale-out plan
C09
Repair / replacement operating boundary
C10
Portability and exit path
Confidential compute · HSM · encryption · SBOM
Trust has to survive the whole path.
Device identity, boot, keys, source, build, dependencies, image, deployment, execution, update, repair, and revocation all become part of the product when the workload is sensitive.
HSM + hardware root of trust
HSM-backed key custody, TPM / secure-element class devices, device and workload identity, secure/measured boot, signed firmware, rotation, revocation, and recovery.
Encryption
Encryption at rest and in transit, encryption in use where supported, mutual authentication, short-lived credentials, explicit key ownership, and crypto-agility.
SBOM + provenance
Software and firmware inventory, transitive dependencies, source → build → image lineage, signing, verification, vulnerability mapping against the exact deployed version, and lifecycle visibility.
Secure build + release
Isolated build environments, least-privilege build identities, controlled artifact promotion, release evidence, deployment provenance, and admission of approved signed artifacts.
Manufacturing trust
Per-device identity, secure key/certificate provisioning, signed firmware/configuration baselines, device-to-build traceability, secure RMA, re-provisioning, and revocation.
Silicon / root→Firmware / device→Build / SBOM→Confidential runtime→Workload→Operator evidence
When hardware is part of the product
Carry the design through physical constraints when the product requires it.
When the product touches hardware, the design continues through component choice, board/firmware boundaries, thermal and mechanical constraints, manufacturing test, qualification, provisioning, serviceability, and lifecycle change.
H01
Compute / silicon selection
H02
Board and electronics design
H03
Sensors, radios and interfaces
H04
BSP, firmware and secure boot
H05
Mechanical and thermal integration
H06
Prototype builds
H07
DFM / DFT
H08
PCB fabrication and assembly
H09
Contract-manufacturer qualification
H10
Component sourcing and alternates
H11
Environmental / reliability qualification
H12
Production test and provisioning
H13
Logistics and field spares
H14
RMA / repair path
H15
ECO and lifecycle management
Architecture→Prototype→EVT→DVT→PVT→Production→Field→RMA / ECO
Software delivery
Keep the product legible as it becomes real.
The architecture, running state, change path, evidence, and operator surface should remain understandable as the product grows across services, models, data, infrastructure, and devices.
Application and operator UI
APIs and service contracts
Realtime and event paths
Distributed runtime
OLTP / OLAP / time-series / cache / queue patterns
RAG / knowledge / context
Agents and long-running workflows
CI/CD and artifact supply chain
Infrastructure as code
Observability and telemetry
Policy, approvals and auditability
Testing, fault injection and qualification
How we partner
Use specialist capability without giving away system ownership.
Start from the product
Compute, supplier, manufacturing, and security choices follow the customer outcome and workload rather than leading it.
Keep choices visible
Supplier, platform, hardware, and manufacturing decisions remain explicit so the customer understands cost, tradeoffs, substitution, and ownership.
Own the interfaces
Every critical supplier boundary gets requirements, acceptance criteria, evidence, failure ownership, and change control.
Design for change
Portability, substitution, lifecycle, and exit paths are considered wherever they affect continuity, security, economics, or negotiating leverage.
Start a conversation
Which dependency could unlock the next capability?
Compute capacity, workload control, confidential execution, software provenance, portability, or a hardware and supplier boundary when the product requires one—start with what the product should become and the constraint standing in the way.