Services

Eight practices at Analytical Data Solutions LLC, one standard: when the engagement ends, your team owns what we built.

Rows of server racks in a data center, lit by status LEDs

Enterprise Platforms

Salesforce and Workday, implemented and integrated properly.

Certified consultants for the platforms that run your business: Salesforce orgs that sales teams actually use, Workday tenants that HR and finance can rely on, and the integrations that keep both honest.

  • Salesforce implementation, customization, and admin
  • Workday HCM and Financials configuration and support
  • Platform integration with ERPs, data warehouses, and custom apps
  • ServiceNow and SAP consulting through our staffing practice

Cloud Infrastructure

Architecture, migration, and operations on AWS, Azure, and GCP.

We design landing zones, run migration waves, and stay through the part most consultancies skip: making the environment cheap, observable, and boring to operate.

  • Cloud architecture and landing-zone design
  • On-prem and colo migration planning and execution
  • Cost review and rightsizing (FinOps)
  • Reliability engineering: monitoring, alerting, incident readiness

Data Engineering

Warehouses and pipelines that replace exports and goodwill.

From a first warehouse to a mature dbt project with tests and lineage, we build analytics infrastructure sized for the data you actually have, and the AI features you want on top of it.

  • Warehouse design on Snowflake, BigQuery, Redshift, or Databricks
  • ELT pipelines with dbt, Airflow, or Dagster
  • Data quality, testing, and documentation
  • RAG and AI-readiness: corpus pipelines, embeddings, evaluation

DevOps & Platform Engineering

Delivery pipelines and platforms your team keeps after we leave.

We build CI/CD, Kubernetes platforms, and infrastructure as code with the explicit goal of handing them off: documented, tested, and understood by your engineers.

  • CI/CD in GitHub Actions, GitLab, or Azure DevOps
  • Kubernetes design and operations (EKS, AKS, GKE)
  • Infrastructure as code with Terraform
  • Secrets management, environment parity, progressive delivery

System Integration

Connecting the systems you already run.

ERPs, CRMs, and homegrown tools that were never meant to talk. We design the APIs, events, and sync patterns that replace file drops and direct database links.

  • Integration architecture and API strategy
  • Legacy interface modernization
  • Event-driven design and messaging
  • iPaaS evaluation and implementation

AI & Machine Learning

LLM features with the guardrails production demands.

From a first RAG pilot to production agent workflows, we build AI features with evaluation, cost controls, and rollback designed in, on top of data infrastructure that can actually feed them.

  • RAG systems: corpus pipelines, embeddings, retrieval evaluation
  • LLM integration with OpenAI, Claude, and open-weight models
  • Agent workflows with permissions, audit logs, and human approval gates
  • Model cost engineering: caching, batching, routing

Application Development

Web apps and internal tools that ship and keep shipping.

Customer-facing applications and internal tools in modern stacks, with CI/CD, tests, and observability from the first commit, built on infrastructure we can also stand up and run.

  • Web applications in TypeScript, React, and Next.js
  • Back-end services in Python, .NET, and Node.js
  • Internal tools, admin panels, and workflow automation
  • Legacy application modernization and replatforming

Technical Staffing

Engineers screened by engineers.

Contract, contract-to-hire, and direct placement across Java, .NET, Salesforce, Workday, cloud, data, and DevOps roles. Every candidate is evaluated by consultants who do the same work, so the technical signal is real.

  • Contract and contract-to-hire placement
  • Direct-hire recruiting for technical roles
  • Team augmentation on active ADS engagements
  • Technical screening as a service

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