What we do
Three areas of deep expertise. We take on focused, high-impact engagements — typically one at a time — and bring the same rigor whether the client is a Fortune 500 or a 10-person nonprofit.
Data & Analytics
We help organizations build, modernize, and govern their data foundations — from warehouse architecture through executive dashboards.
Data Platform Engineering
Design and implementation of modern data platforms on Snowflake, Databricks, BigQuery, and Redshift — including schema design, pipeline orchestration, and performance optimization.
Data Governance & Quality
Governance program design covering ownership models, lineage tracking, data catalogs, quality monitoring, and compliance frameworks (GDPR, CCPA, SOX, SOC 2, HIPAA).
Master Data Management
MDM strategy and implementation — entity resolution, golden record design, cross-system data unification, and metadata standardization across complex enterprise environments.
Business Intelligence & Analytics
BI platform buildout and optimization across Looker, Tableau, Power BI, and MicroStrategy. KPI frameworks, executive dashboards, self-serve analytics enablement.
Data Migration & Modernization
Legacy warehouse migration to cloud-native architectures. ETL/ELT redesign. On-prem to cloud transitions with minimal downtime and full data integrity validation.
Data Engineering
Pipeline development using Airflow, dbt, NiFi, Dagster, and Kafka. Batch and streaming architectures. Data reliability engineering including circuit breakers, SLA monitoring, and reconciliation frameworks.
AI Strategy & Implementation
We help organizations move AI from slides to production — with the governance and safety frameworks to operate responsibly at scale.
AI Strategy & Readiness
Organizational AI maturity assessments, use case identification and prioritization, build vs. buy analysis, vendor landscape evaluation, and executive-ready AI roadmaps.
Generative AI Integration
LLM selection, deployment, and fine-tuning. RAG architecture design. Prompt engineering frameworks. Integration of foundation models (GPT, Claude, Gemini, open-source) into existing workflows and products.
ML Pipeline Development
End-to-end ML pipelines from feature engineering through model deployment. MLOps infrastructure on AWS SageMaker, Bedrock, and open-source tooling. Model monitoring, drift detection, and retraining automation.
AI Safety & Responsible AI
AI safety frameworks, bias auditing, fairness testing, model risk management (MRM), and responsible AI program design. Enterprise-grade AI governance for regulated industries.
AI Ethics & Compliance
Policy development for responsible AI deployment. Regulatory compliance mapping. Transparency and explainability requirements. Human-in-the-loop system design.
AI Agents
We design and build AI agent systems that automate complex workflows, make decisions under uncertainty, and operate reliably in production environments.
Agent Architecture & Design
System design for autonomous and semi-autonomous AI agents — including tool use, memory management, planning frameworks, and human-in-the-loop guardrails.
Agentic Workflow Automation
Custom agents that execute multi-step business processes: document processing, data extraction, report generation, research synthesis, and operational decision support.
Multi-Agent Systems
Design and orchestration of multi-agent architectures where specialized agents collaborate on complex tasks — including coordination protocols, conflict resolution, and shared state management.
Agent Evaluation & Safety
Testing frameworks for agent reliability, safety boundaries, failure modes, and rollback mechanisms. Red-teaming and adversarial testing for agent deployments.
LLM Integration & Orchestration
Integration of large language models into agent systems using frameworks like LangChain, LangGraph, CrewAI, and custom orchestration layers. API design, context management, and cost optimization.
How we work
We are a collective of senior practitioners, not a staffing firm. We take on focused engagements — typically one major engagement at a time — and bring our full attention and expertise to each.
Our engagements range from 90-day strategic assessments to embedded, multi-quarter implementation programs. We scope honestly, deliver what we commit to, and tell you upfront if a project isn't the right fit.
We work with organizations of all sizes. The same rigor applies whether the engagement is a data governance program for a global enterprise or a technology buildout for a 10-person nonprofit.