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All services.

Sixteen services across five practices — advisory, AI engineering, data, cloud, and software. Every one starts the same way: a fit call, then a free Blueprint before any build is committed.

AI Strategy, Readiness & Advisory

Before building AI, align on why, when, and how. These engagements evaluate your data and readiness, identify the use cases with real returns, and lay the foundation everything else stands on.

AI Readiness Assessment

A bounded review of your data, workflows, and goals that ends in a ranked list of where AI will actually pay off — and what it would take.

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AI Strategy & Roadmap

A sequenced plan for adopting AI: which use cases first, what they depend on, and how success gets measured at each step.

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Advisory & Architecture

Senior architecture judgment a few hours a week — design reviews, build-versus-buy calls, vendor selection, and a technical voice at the leadership table.

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AI Implementation & Engineering

Once the strategy is clear, this is the build: production-grade AI systems — agents, assistants, and the operations discipline that keeps them accurate and affordable after launch.

AI Agents & Assistants

Production AI agents grounded in your data, with cited sources, human handoff, evaluations, and monitoring. The practice behind our 150+ user deployment.

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Knowledge Assistants

Assistants that answer from your documents, policies, and records — turning trapped knowledge into the fastest way your team finds anything.

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AI Operations (LLMOps)

The discipline after launch: evaluation suites, drift and quality monitoring, and cost governance that cut one system’s token spend by 90%.

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Data & Intelligence

Every intelligent system stands on data that is clean, connected, and governed. We turn fragmented, legacy data environments into platforms that fuel decisions instead of arguments.

Data Engineering

Pipelines and platforms that move data reliably at scale — the engagement that took a pipeline from 6 hours to 30 minutes.

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Reporting & Analytics

Warehousing and reporting where every metric means one thing — dashboards leadership can make decisions on.

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Data Governance & Privacy

Access controls, PII handling, lineage, and audit trails — governance engineered into the platform, not documented after the fact.

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Cloud Architecture & Optimization

Cloud foundations designed properly, existing estates audited honestly, and migrations sequenced by risk. Security, scalability, and cost discipline are design inputs, not afterthoughts.

Cloud Architecture

Cloud foundations on Google Cloud and AWS designed for security, scalability, and cost discipline from day one.

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Cloud Cost Optimization

A line-by-line audit of your cloud bill, fixes ranked by savings, and guardrails that keep spend honest. One client saves ~$10K a month.

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Cloud Migration

Moving workloads to the cloud — or between clouds — with a plan that sequences risk instead of discovering it mid-flight.

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Software Engineering & Products

Full-cycle software for SMBs: custom tools, standalone SaaS platforms, integrations between the systems you run, and modernization of the ones holding you back.

Software Solutions for SMBs

Custom internal tools, workflow automation, and product builds for the work off-the-shelf software doesn’t fit.

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SaaS Platform Development

Standalone SaaS products built end to end: multi-tenant architecture, subscription-ready foundations, infrastructure that scales with customers.

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Systems Integration & Automation

Connecting the systems you already run — CRMs, ERPs, finance, operations — so data flows once instead of being re-typed forever.

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Application Modernization

Rebuilding the systems that work but can’t grow: legacy applications and data flows modernized in stages, without stopping the business.

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Platforms we build on

Deep platform expertise matters most when it’s invisible — the right services chosen, the expensive mistakes avoided. Our two home platforms:

Google Cloud

Six years of production work: BigQuery data platforms, Vertex AI agent deployments, and cost programs that took ~$10K a month off a client’s bill.

Google Cloud practice

AWS

Four years across data and application workloads — architecture, migration, and the cost discipline that keeps AWS bills explainable.

AWS practice

Start with a fit call.

Thirty minutes. Bring the problem as it actually is — the stalled pilot, the bill, the spreadsheet everyone quietly maintains. We’ll tell you honestly whether we’re the right builder for it.

You leave with a straight answer on fit — and if it fits, a free Blueprint to follow.