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Services

Build from the data to the decision.

Bring a focused technical problem or a workflow that needs rethinking. We connect the engineering disciplines the work requires.

Data Engineering & AutomationStatistical Modeling & ForecastingAI Systems & WorkflowsCustom Software & IntegrationsDecision Tools & ReportingData Quality & Model AssuranceAI-Assisted Engineering

Delivery model · applies to every service

Forward Deployed Engineering

Direct collaboration inside your environment, from understanding the inputs to handing over a working system.

01 / 07

Data Engineering & Automation

We connect, transform, and reconcile data so that models and applications have a dependable foundation. The work starts with the meaning of the numbers and the process that produces them.

PythonSQLpandasParquetAPIs
Explore Data Engineering & Automation

What we do

  • Source ingestion and data transformation
  • Python and SQL pipeline development
  • Schema validation and reconciliation
  • Scheduled workflows and exception reporting
  • Data lineage and reproducible outputs

Repeatable

Runs from source to output

Visible

Exceptions surfaced, not hidden

02 / 07

Statistical Modeling & Forecasting

We build forecasting, distribution, and allocation models around the structure of your data and the decisions you need to make. Business constraints, sensitivity analysis, and validation are part of the design.

PythonNumPySciPypandasStatistical methods
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What we do

  • Distribution and price-tier modeling
  • Forecasting and scenario analysis
  • Constrained optimization and allocation
  • Backtesting and sensitivity analysis
  • Model diagnostics and documentation

Explicit

Assumptions you can inspect

Reconciled

Allocations that tie out across levels

03 / 07

AI Systems & Workflows

We design AI applications and agent workflows around the information, tools, and decisions they need to handle. Evaluation, human review, and integration boundaries are considered from the start.

LLM APIsPythonTypeScriptMCPRetrieval systems
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What we do

  • LLM application and workflow design
  • Retrieval over business knowledge
  • Tool integrations and agent orchestration
  • Task-specific evaluation and review steps
  • Cost, latency, and failure-mode analysis

Evaluated

Against task-specific criteria

Reviewable

Human checkpoints where they matter

04 / 07

Custom Software & Integrations

We build the applications and integrations that make data and models useful in everyday work: internal tools, APIs, portals, and focused interfaces for complex workflows.

PythonTypeScriptSQLWeb applicationsAPIs
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What we do

  • Internal tools and web applications
  • APIs and system integrations
  • Interfaces for models and analytical workflows
  • Workflow automation
  • Deployment and maintainable handover

Integrated

With the systems you already use

Maintainable

Source and docs your team owns

05 / 07

Decision Tools & Reporting

We connect analytical work to practical outputs: scenario tools, automated reports, and clear views of the numbers. The format follows the decision and the tools your team already uses.

PythonSQLExcelCustom visualization
Explore Decision Tools & Reporting

What we do

  • Metric definitions and analytical data models
  • Scenario and sensitivity views
  • Automated Excel and reporting workflows
  • Data visualization and decision interfaces
  • Report validation and exception visibility

Consistent

One definition per metric

Automated

Reports assembled by code

06 / 07

Data Quality & Model Assurance

We make business rules explicit and build checks around the parts of a system that matter. Results are accompanied by evidence, with source conflicts and model limitations kept visible.

PythonSQLGitData contractsAudit reports
Explore Data Quality & Model Assurance

What we do

  • Data contracts and constraint specifications
  • Source reconciliation and quality checks
  • Model diagnostics and exception reporting
  • Baseline comparisons and reproducible runs
  • Documentation of ownership and assumptions

Written

Rules captured as a specification

Checked

On every run, with evidence

07 / 07

AI-Assisted Engineering

We use supervised coding agents for analysis, implementation, and documentation, with technical decisions and review owned by the engineer. We can also help teams introduce these practices into their own workflows.

GitCoding agentsAutomated checksDocumentation
Explore AI-Assisted Engineering

What we do

  • Supervised coding workflows
  • Repository context and implementation specifications
  • Code review and targeted validation
  • Refactoring and documentation support
  • Team workflow guidance

Supervised

Engineer-owned decisions

Reviewed

Clear standards for generated changes

Engagement models

Choose a useful starting point.

Three ways to work together — each with clear scope, outcomes and pricing agreed up front.

Focused assessment

Technical Review

Understand an existing workflow, model, or codebase and identify a practical next step.

  • Source and system review
  • Findings and priorities
  • Recommended scope
  • Technical walkthrough
Discuss a review
Project delivery

Scoped project

Embedded Build

Work directly with your team to design, implement, and validate a defined system.

  • Agreed scope and milestones
  • Implementation and integration
  • Validation evidence
  • Documentation and handover
Plan a build

Ongoing collaboration

Technical Partnership

Continue improving a system through recurring development, model updates, and architecture work.

  • Prioritized technical backlog
  • Recurring development cycles
  • Architecture and model reviews
  • Operating support
Discuss ongoing work

Start a conversation

Let’s work through the details.

Tell us about the data, the decision, or the workflow you want to improve. We’ll start there.

Discuss your project