AI is only as reliable as the platform it runs on. We design and build the data, security, and operational substrate that lets your AI workloads ship — sized for SMB FM operations, not enterprise overhead.
The cloud workstreams that pair with our AI delivery — or stand on their own.
Ingestion, transformation, and warehouse / lakehouse design for telemetry, work-order, vendor, and asset data — sized for your team, not a Fortune 500.
Production patterns for retrieval, predictive inference, and document AI — with integration points your operations team will actually use.
Identity, data protection, cost monitoring, and observability — designed to satisfy security, finance, and ops before launch, not after the audit.
Pragmatic migrations of on-prem and first-generation cloud estates — sequenced around your operational calendar, not a vendor's.
We work fluently across the major hyperscalers and lean toward what fits your data, your security posture, and your team — not what fits our incentives.
Bedrock, SageMaker, Redshift, Glue, EKS, IAM & controls.
Azure OpenAI, Synapse, Fabric, Purview, AKS, Entra ID.
Vertex AI, BigQuery, Dataplex, GKE, Workload Identity.
Snowflake, Databricks, dbt, and open standards where they reduce lock-in.
Tell us about the workload — AI or otherwise. We'll design a platform that doesn't become tech debt the day it ships.