Build an Agentic Enterprise
around how your business decides.
We design Snowflake data environments and build AI agents and business applications for analysis, forecasting, and simulation. The starting point is the business rules, data, and approval points behind the decisions your teams make.
Connect your data foundation to the decisions and workflows it supports
We provide Snowflake services for governed enterprise data and Agentic Enterprise services for decision-focused AI agents and applications.
Snowflake Services
Bring SAP and other enterprise data into Snowflake, then establish the pipelines, quality controls, security, and operating practices required for analytics and AI.
Explore Snowflake Services →Agentic Enterprise Services
Structure the knowledge and rules behind business decisions, then build AI agents and applications that analyze data, forecast outcomes, simulate alternatives, and support review.
Explore Agentic Enterprise Services →Define the problem
before you build the solution
We use operating and consulting experience to form a working hypothesis about root causes and business impact. We then test it against the client's business rules, stakeholder input, and data before shaping a solution across process, data, systems, and AI.
Working Hypothesis
Relevant operating and transformation experience informs an initial view of the causes and business impact.
Business and Data Validation
We test the hypothesis against business rules, stakeholder input, and actual data to establish priorities.
Actionable Solution
We translate the validated problem into changes to process, data, systems, and AI—and build what the work requires.
Build, migrate, integrate, and operate on Snowflake
The work can begin with a new data foundation, an SAP migration, data integration, or ongoing operations.
AI-Ready Data Foundation
Establish quality rules, data standards, lineage, security, and access controls in the Snowflake foundation.
SAP to Snowflake Migration
Assess SAP ECC, S/4HANA, and BW data, then migrate and validate it in Snowflake.
Data Engineering & Integration
Connect ERP, MES, SCM, CRM, and external sources through data pipelines built for ongoing use.
FinOps & Managed Services
Manage Snowflake costs, performance, security, data pipelines, and changes over time.
Put business knowledge and data into decision workflows
We assess platform options, structure decision knowledge, build analytical agents and applications, and define the controls required to operate them.
AI Platform Assessment & Architecture
Evaluate the use case and its data, security, and operating requirements across cloud, on-premise, and hybrid options before defining the target architecture.
Enterprise Knowledge Engineering
Organize business terms, decision rules, exceptions, and sources into a governed knowledge structure for agents and applications.
Agentic Analytics & Applications
Build agents and applications for analysis, forecasting, simulation, and comparison of alternatives.
AgentOps & Managed Operations
Manage agent quality, access, evidence, cost, and change, then improve applications as operating needs change.
Build with traceable evidence and measurable feedback
We manage requirements, business rules, evidence, decisions, and changes as project knowledge. Delivery follows explicit principles, and agent applications are evaluated against real work before they are expanded.
Start with the decision or data problem in front of you
Tell us whether you are evaluating a Snowflake foundation or migration, an AI platform, or an Agentic Analytics application. We will help identify what to examine first.
Discuss Your Project →