Our Services
Balanced capabilities for
consequential decisions.
We combine AI, machine learning, econometrics, forecasting, and data engineering to build solutions that hold up under operational, regulatory, legal, and executive scrutiny.
Core Capabilities
From measurement and forecasting to deployed AI systems, we match methods and delivery to the decision environment your team actually operates in.
Econometric Modeling & Forecasting
Forecasting and econometric systems for pricing, demand, operations, and planning decisions that need to be explained, defended, and reused long after the initial analysis.
- →Energy demand and load forecasting
- →Price and revenue modeling
- →Market elasticity analysis
- →Time-series analysis and anomaly detection
AI & Machine Learning Solutions
Custom AI and machine learning systems designed for real workflows, with integration, governance, documentation, and support that help organizations trust what they deploy.
- →Predictive maintenance and anomaly detection
- →Natural Language Processing (NLP) and LLM integration
- →Classification and regression at scale
- →Reinforcement learning for operational optimization
Data Engineering & Architecture
Reliable analytics starts with reliable data. We build the infrastructure, governance, and delivery pipelines that make sophisticated models dependable in production.
- →AWS / Azure / GCP data lake design
- →ETL / ELT pipeline development
- →Real-time streaming (Kafka, Kinesis)
- →Data quality and governance frameworks
Economic & Regulatory Analysis
Analytical work built for regulated, litigated, or otherwise high-scrutiny environments where methods, assumptions, and conclusions have to stand up to questioning.
- →Rate case support and cost-of-service studies
- →Avoided cost and avoided energy calculations
- →Demand-side management (DSM) evaluation
- →Benefit-cost analysis for utility programs
Program Evaluation & Impact Analysis
Credible measurement frameworks and causal inference methods that help clients quantify impact with the level of rigor external stakeholders expect.
- →Measurement & Verification (M&V) per IPMVP / Uniform Methods
- →Randomized controlled trial design and analysis
- →Causal inference and difference-in-differences
- →Portfolio-level savings attribution and reporting
Custom Software & Analytics Platforms
Decision-support platforms that embed rigorous models into everyday workflows, with the user experience, APIs, and controls required for enterprise adoption.
- →Interactive dashboards and decision-support tools
- →API development and third-party integrations
- →White-label analytics portals
- →Secure cloud deployment (AWS / GCP / GovCloud)
How We Work
A structured, transparent engagement model designed to move from ambiguity to operational value with confidence.
Discovery
We begin with a focused engagement to understand your data landscape, business objectives, and constraints.
Solution Design
Our senior experts design a rigorous, pragmatic solution, selecting methods that match the problem rather than the trend.
Build & Validate
We develop iteratively with continuous validation against real-world benchmarks, keeping you in the loop throughout.
Deploy & Support
We deliver production-ready models, code, and documentation — and remain available for ongoing support and refinement.
Have a decision that needs stronger analytical footing?
Bring us the business problem, decision pressure, or analytical gap. We can help scope a solution that fits the stakes.
Start the Conversation