One engineered
AI platform
for the enterprise.
Cloud, GPU compute, data plane, vector store, model registry, inference gateway and services — versioned together and governed as one substrate.
The platform, drawn end-to-end.
A single engineering plate. Every subsystem visible. Every path annotated.
Applications, agents and typed APIs — the surface enterprises actually consume.
Gateway, router, registry and vector — how a request is resolved into a response.
GPU pools, distributed compute and cloud — the physical substrate.
Engineering specifications.
Read every capability the way you would read a datasheet — with implementation notes, supported platforms and practices.
Kubernetes with topology-aware scheduling; MIG partitioning; RDMA fabric across zones.
AWS · Azure · GCP · OCI · On-prem
Zone-affinity groups; preemption windows; per-tenant quotas.
Route training to reserved capacity, inference to spot pools with warm replicas.
Envoy-based routing with cost/latency/quality policy per tenant and per task.
REST · gRPC · Streaming · Bidirectional
Circuit breakers per model; shadow traffic; canary routing.
Attach quality gates before promoting a new model into production traffic.
HNSW / IVF indexes; per-tenant namespaces; embedding lineage recorded on write.
pgvector · Pinecone · Weaviate · Qdrant
Deletion propagates through cached embeddings within 60s.
Version embeddings alongside models; never mix embedding spaces silently.
Change-data capture from OLTP; Iceberg tables; typed schemas per surface.
Snowflake · Databricks · BigQuery · Postgres
PII tagging at ingest; residency enforced at storage layer.
Publish a data contract before any AI surface reads from a domain.
Immutable model artifacts; signed evaluations; promotion policies per environment.
MLflow · Weights & Biases · SageMaker · Vertex
Every model carries lineage, evaluations and cost profile.
Require a passing evaluation suite for every promotion, no exceptions.
OpenTelemetry spans, per-token cost accounting, retrieval attribution.
Datadog · Grafana · Honeycomb · Prometheus
Traces include prompt, retrieval, tool calls and cost.
Instrument first. Every incident is faster to resolve than to explain later.
From discovery to operations.
Workloads, residency, SLOs.
Reference design & guardrails.
VPC, compute pools, identity.
Platform layers rolled forward.
Load, safety, evaluation.
Cost, latency, quality tuning.
On-call, upgrades, roadmap.
Engineered to integrate.
Primary cloud with VPC-native deploys, PrivateLink and Nitro-based enclaves.
Enterprise identity via Entra ID, sovereign regions and confidential compute.
GKE Autopilot, TPU access and BigQuery integration for retrieval.
Workload orchestration with topology-aware scheduling.
Reproducible model runtimes with signed image supply chain.
H100 and Blackwell pools, MIG partitioning and NIM containers.
Governed source-of-truth with Cortex hooks for retrieval.
Lakehouse for feature engineering and offline evaluation.
Infrastructure as code across accounts, regions and tenants.
Model registry, run tracking and promotion policies.
Experiment tracking, sweeps and evaluation dashboards.
Unified traces across gateway, retrieval, tools and models.
The reasons enterprises
standardize on it.
The platform earns its position by being invisible in operations and inevitable in outcomes.
- 01Enterprise-grade Reliability
Multi-region failover, tested continuously against synthetic and production workloads.
- 02Elastic Scalability
Compute and inference pools autoscale within policy — from ten requests to ten million.
- 03Infrastructure Security
Private VPC deployment, dedicated links, KMS-owned keys and continuous compliance.
- 04Operational Visibility
One telemetry contract: traces, costs and evaluations available for every request.
- 05Cost Optimization
Routing policy blends reserved, spot and on-demand — cost per outcome, not per token.
Questions engineering teams ask.
Yes — the reference deployment is a private, single-tenant install inside your accounts, with no data egress to shared infrastructure.
The inference gateway abstracts hosted, open-weight and fine-tuned models behind one contract. Routing is policy-driven per tenant and per task.
SOC 2 Type II, HIPAA, ISO 27001 and GDPR data residency. Additional frameworks are added on request.
Every request carries cost telemetry. Budgets, quotas and routing policies keep spend inside envelopes defined per tenant.
No — the platform integrates with Snowflake, Databricks, BigQuery and Postgres as sources of truth.
Architect the substrate
your AI depends on.
Bring a workload. We will sketch the reference deployment together — in your accounts, at your scale.