Your Cloud and AI Partner
SoftPool delivers end-to-end cloud infrastructure, modern AI/ML pipelines, enterprise security, and continuous FinOps to accelerate your digital evolution.
6 weeks
From kickoff to a production-shaped AI pilot
25–30%
Typical cloud spend reduction through managed FinOps
99.99%
Uptime target on managed cloud operations
What we do
01 / Applied AI
We deploy custom AI agents, enterprise knowledge management, and grounded data search on Google's AI stack — connected to the systems your teams already use.
02 / Data
We move legacy data silos onto BigQuery and Google's analytics pipelines, so your organization has the clean, governed foundation that AI actually requires.
03 / Platform
We design secure, scalable GCP environments — landing zones, identity, network boundaries and cost controls that stand up to audits and growth.
Core solutions & architecture
From compute and data platforms to agentic AI, zero-trust security, and continuous FinOps — delivered as one coherent architecture rather than disconnected projects.
Compute
Containerization & orchestration
Managed deployment, scaling, and operations on Google Kubernetes Engine (GKE) and GKE Enterprise (Anthos).
Serverless execution
Event-driven microservices on Cloud Run and Cloud Functions, with no underlying compute to manage.
Virtualization infrastructure
Compute Engine VMs, custom machine types, and Google Cloud VMware Engine (GCVE) for legacy migrations.
Data
Object & unified storage
High-durability Cloud Storage with multi-region redundancy, lifecycle rules, and automated tiering.
Relational & NoSQL databases
Fully managed Cloud SQL, Spanner for global distribution, Bigtable for low-latency NoSQL, and AlloyDB for PostgreSQL.
Warehousing & analytics
Serverless enterprise analytics on BigQuery, paired with Dataproc for Apache Spark and Hadoop workloads.
Network
Global VPC architecture
Custom VPC design with Private Google Access, Shared VPC, and Cloud NAT.
Hybrid & multi-cloud interconnect
Enterprise connectivity via Dedicated Interconnect, Partner Interconnect, and IPSec VPNs.
Traffic optimization & CDN
Global HTTP(S) load balancing with Cloud CDN and Cloud Armor to route traffic safely and cut latency.
AI / ML
Enterprise generative AI
Foundation model deployment, prompt engineering, and fine-tuning with Vertex AI Studio and Gemini Enterprise APIs.
Custom ML & MLOps
Model development, automated training pipelines, monitoring, and deployment with Vertex AI Pipelines.
Autonomous agents & agentic workflows
Custom enterprise agents built on Google Cloud's Agent Development Kit (ADK) and Agent2Agent (A2A) frameworks.
Specialized AI APIs
Integration of Vision AI, Speech-to-Text, Natural Language AI, and Dialogflow CX for conversational interfaces.
Security
Identity & access control
Fine-grained authorization with Cloud IAM, Workload Identity Federation, and Google Workspace Identity.
Zero trust & network protection
WAF and DDoS defense with Cloud Armor, context-aware access via BeyondCorp Enterprise, and Security Command Center Premium.
Data protection & key governance
Hardware-backed key lifecycle management with Cloud KMS and Cloud HSM, plus Sensitive Data Protection (DLP API).
FinOps
Observability suite
Full-stack telemetry with Cloud Logging, Monitoring, Trace, and Profiler to track SLIs and SLOs.
Cost controls & FinOps
Cost allocation tags, real-time budget thresholds, billing exports to BigQuery, and recommender-driven waste elimination.
Resource hierarchy & policy control
Organization policies, folder and project structures, and automated Terraform guardrails for Infrastructure as Code.
Service delivery models
Core deliverables
Infrastructure as Code (Terraform), network topology setup, data migration, security baselines.
Target outcome
Rapid, secure cloud onboarding with zero operational friction.
Core deliverables
GenAI use case identification, data readiness assessment, 30-day proof of concept.
Target outcome
Validated AI capabilities with clear ROI projections.
Core deliverables
24/7 infrastructure monitoring, patch management, security auditing, monthly cost optimization.
Target outcome
25–30% reduction in cloud spend with 99.99% uptime.
How we work
We do not sell year-long roadmaps. We prove value on your data in weeks, then harden and hand over — so the capability stays with your team.
Week 1–2
Workshops with your teams to map data, systems, and the highest-value AI use cases.
Week 3–6
A production-shaped pilot on your real data, with measurable success criteria agreed up front.
Week 7+
Hardening, governance, and enablement so your own engineers own what we build together.
Contact
Global coverage
Headquartered in Miami with certified Google Cloud engineers in every major region — follow-the-sun delivery and 24/7 managed operations.
Headquarters — Miami, FLToronto, CanadaSão Paulo, BrazilLondon, UKFrankfurt, GermanyDubai, UAEBengaluru, IndiaSingaporeTokyo, JapanSydney, AustraliaGet started
Schedule a 30-minute Cloud & AI Architecture Review with a SoftPool lead engineer.
