Decisions
that compound,
outcomes
that last.
We build the data and AI systems that mission-critical decisions run on, for federal programs, defense missions and the enterprise.
- 0+
- Years in regulated programs
- Azure Gov · GovCloud
- Cloud environments
- Section 508
- Accessibility standard
- Weeks, not quarters
- Prototype-to-production cadence
A focused practice.
End to end.
We sit at the intersection of analytics engineering, machine learning and modern product development, and we ship.
All servicesData & Analytics
Dashboards that turn sprawling data into a single operational view, surfacing the KPIs, trends and anomalies leaders act on every day.
Explore Data & AnalyticsMachine Learning
Forecasting, segmentation and decision-support models grounded in statistical rigor and your operational reality.
Explore Machine LearningApplied AI
From document understanding to LLM-driven workflows, we apply AI where it removes friction and augments expert judgment.
Explore Applied AIData Engineering
Modern, governed data platforms that turn one-off reports into a durable, auditable asset for the whole organization.
Explore Data Engineering
Where the
work happens.
Four sectors where engineering discipline pays off. Same craft, different working dialects.
All industries
Public Sector
Federal civilian, defense and state-level programs, program analytics, document AI and operational dashboards built inside the controls the program already lives under.
Financial Services
Risk, forecasting and decision systems for investment, banking and insurance teams, designed against SR 11-7 and the regulator in the room.
Healthcare
Clinical-adjacent analytics, population health insight and operations intelligence, HIPAA / HITECH from day one, not as a follow-up project.
Enterprise
Modernizing analytics, embedding AI in the workflow, and replatforming legacy reporting estates, without the business going dark.
Frameworks the work runs inside.
The frameworks our delivery is designed to align with. We bring the documentation; your security team doesn’t have to chase it.
- FedRAMP Moderate / High
- NIST 800-53 Rev. 5
- NIST 800-171 / CUI
- FISMA
- Section 508
- CJIS
- IRS Pub 1075
- HIPAA / HITECH
- SOC 2 Type II
- ATO · SSP · POA&M
- Azure Gov · AWS GovCloud
- IL4-equivalent environments
Selected
work.
A representative sample of the problems we solve. Names and outcomes available on request.
All work- Financial Services
Predictive Market Signals
A forecasting pipeline that blends sentiment, fundamentals and historical pricing to surface daily directional signals and risk indicators for an investment-research team.
Read more - Public Sector
Program Operations Dashboard
Consolidated fragmented program data into a single operational dashboard used by leadership for daily decision-making, replacing weekly slide decks with near-real-time visibility.
Read more - Public Sector
Procurement Spend Intelligence
Automated extraction and classification of unstructured procurement records, surfacing duplicate-spend patterns and consolidation opportunities across multiple business units.
Read more - Enterprise
Analytics Modernization
Replaced legacy reporting infrastructure with a governed, self-service analytics layer, cutting report turnaround from weeks to hours and freeing analysts for higher-value work.
Read more
A pragmatic,
prototype-first approach.
We move quickly and ship working software, then harden it. No sixty-page slide decks before a single model is trained.
- 01
Discover
We start with the decision, not the data. Focused workshops to align on the question worth answering and the outcome worth measuring.
- 02
Prototype
A working prototype in weeks, not quarters, built on your data so stakeholders can see, test and refine the solution early.
- 03
Productionize
We harden the prototype into a maintainable system: CI/CD, monitoring, governance and clean handoff documentation.
- 04
Operate & Improve
Continuous tuning, model monitoring and a roadmap that compounds value, so the system gets better the longer it runs.
A modern,
opinionated stack.
Boring, dependable tools where they fit. Leading-edge ones where they unlock genuine new capability.
Languages & ML
- Python
- R
- SQL
- scikit-learn
- PyTorch
- TensorFlow
- LangChain
Data & Cloud
- Azure
- AWS
- Snowflake
- Databricks
- dbt
- Airflow
- Postgres
Visualization & Apps
- Tableau
- Power BI
- Plotly
- Next.js
- TypeScript
- FastAPI
Writing from the
work itself.
Written by the people who do the work. Read once, useful for a year.
All insights
Dashboards as decision systems, not decoration
Most executive dashboards fail not because the data is wrong, but because they answer the wrong question. A short tour of what changes when you start with the decision.
Read · 6 min
Where AI actually fits, and where it doesn’t (yet)
A practical lens for distinguishing the AI use cases that compound from the ones that quietly burn cycles. Drawn from work across regulated industries.
Read · 8 min
The shape of modern data platforms
A high-level blueprint for the data platform we keep recommending to mid-sized organizations, and the trade-offs behind each layer.
Read · 10 min
Semantic layers in practice: dbt, Cube, LookML
A side-by-side look at the three semantic-layer options we keep choosing between, and the constraints that push us toward each.
Read · 9 min
Designing evaluation harnesses for LLM workflows
How we structure regression suites for AI workflows so quality is measurable, not vibes-based. With concrete examples from regulated environments.
Read · 9 min
PII handling patterns for analytics platforms
A practical pattern library for tagging, masking, segregating and auditing PII across modern data stacks. The defaults we set, and why.
Read · 8 min
The data-product operating model, end to end
Roles, intake, SLAs, on-call. The operating model that survives the analyst attrition the firm forgot to plan for.
Read · 11 min
Shipping ML into regulated environments
What it actually takes to move a model from notebook to production inside SR 11-7, HIPAA or FedRAMP. The artifacts, the reviewers, the order.
Read · 10 minHave a problem worth solving?
Whether you’re scoping a new initiative, modernizing analytics, or evaluating where AI actually fits, we’d be glad to talk.