Services

What we do.

Six services to plan, build, and run data and AI. Most clients start with one and add others as the work grows.

How they fit together

Plan, build, and run.

  1. Plan

    Decide what is worth funding, in what order, and who owns it.

  2. Build

    Put the data in order, then build reporting, models, and assistants on it.

  3. Run

    Keep it secure, governed, and working after launch.

01 / 06

Strategy

Decide what to build, in what order, and why.

A data and AI plan that finance can fund, engineers can build, and leadership can hold to account.

What we do

  • Data and AI strategy and multi-year roadmap
  • Use-case identification, prioritization, and business cases
  • Target architecture and build, buy, or partner decisions
  • Operating model, roles, and ownership for data and AI
  • Briefings for executives and boards on AI readiness and risk

Accelerators Data Readiness Assessment · AI Governance Starter

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02 / 06

Modern Data

Build the data platform your analytics and AI depend on.

Data platforms, pipelines, and master data management that give everyone one reliable version of the core data.

What we do

  • Data platform modernization and cloud migration
  • Lakehouse and data warehouse design and implementation
  • Data integration, pipelines, and orchestration
  • Master data management for customer, product, supplier, and reference data
  • Data products, data contracts, and data quality frameworks

Accelerators Data Platform Foundation · Master Data Starter · Data Readiness Assessment

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03 / 06

Analytics

Reporting and self-service analytics people actually use.

Consistent metrics, dashboards people open, and self-service that does not sprawl.

What we do

  • Metrics layer and semantic modeling
  • Business intelligence design, build, and migration
  • Self-service analytics enablement and governance
  • Embedded and operational analytics
  • Analytics platform consolidation

Accelerators Metrics Layer Starter · Data Platform Foundation

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04 / 06

AI & ML

Machine learning that runs reliably in production.

Forecasting, prediction, and anomaly detection, with the engineering to keep models accurate after launch.

What we do

  • Predictive modeling, forecasting, and optimization
  • Anomaly detection and risk scoring
  • MLOps: feature stores, CI/CD for models, monitoring, and retraining
  • Model explainability, validation, and documentation
  • Production hardening of existing models

Accelerators MLOps Templates · Data Readiness Assessment

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05 / 06

GenAI & Agents

Generative AI and agents built on your data, with controls.

Assistants, copilots, and agents connected to your systems, tested before launch, and limited to what they are allowed to do.

What we do

  • LLM applications: assistants, copilots, and knowledge systems
  • Retrieval-augmented generation on governed enterprise data
  • Agentic workflows and multi-agent systems with limited permissions
  • Evaluation, red-teaming, and quality measurement
  • Model selection, cost management, and vendor strategy

Accelerators GenAI Evaluation Tests · Secure RAG Starter · AI Agent Controls

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06 / 06

Governance & Operations

Controls and operations for data and AI you can defend.

Data governance, AI governance, security, and day-to-day operations for your data and AI platforms.

What we do

  • Data governance: ownership, stewardship, catalog, lineage, and quality
  • AI governance: policy, risk assessment, and model inventory
  • Data protection, privacy, and security architecture for data and AI platforms
  • Regulatory alignment, vendor due diligence, and customer security questionnaires
  • DataOps, FinOps, and managed operations for data and AI platforms

Accelerators AI Governance Starter · AI Agent Controls · Master Data Starter

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Start from the problem

Which of these sounds familiar?

Pick the one closest to yours.

Partners

Our partner practices.

Dedicated practices for Databricks, Salesforce, and Snowflake, drawing on all six services.

Platforms

Platforms we work with.

We work across the major cloud, data, governance, and analytics platforms and recommend whichever fits. We do not resell software.

Cloud and infrastructure

  • Amazon Web Services
  • Microsoft
  • Google Cloud
  • Equinix
  • DigitalOcean

Data platforms and integration

  • Snowflake
  • Databricks
  • Informatica
  • Denodo
  • Treasure AI
  • Neo4j
  • Ontotext

Master data and product information

  • Reltio
  • Profisee
  • Semarchy
  • Stibo Systems
  • Syndigo
  • inriver

Governance, quality, and observability

  • Collibra
  • Atlan
  • Precisely
  • Acceldata
  • Bigeye

Analytics and BI

  • Tableau
  • Qlik
  • ThoughtSpot

Enterprise applications

  • Salesforce
  • SAP
  • ServiceNow
  • Infor

Quality engineering

  • Tricentis
  • LambdaTest

Product names and logos are trademarks of their respective owners. Datagist is a partner of Databricks, Salesforce, and Snowflake. Other logos are shown to indicate platforms we work with and do not imply partnership, certification, or endorsement.

Not sure where to start?

Tell us what you want to achieve. We will suggest the service and the first step.

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