Services
Four lanes, delivered the way federal programs need them.
Each lane is staffed by senior engineers and priced fixed against a defined scope, as a prime or as a workstream under your contract.
AI and LLM applications
Retrieval-augmented assistants, document intelligence, agent orchestration, and structured-output pipelines on Anthropic Claude and OpenAI.
- Schema-validated outputs and golden-set evaluation before release
- Human-in-the-loop review and drift monitoring in production
- Aligned to the NIST AI Risk Management Framework
Data engineering and analytics
Pipelines, warehouses, and governed data models on SQL Server, PostgreSQL, and Python, with Power BI and web-native dashboards on top.
- Data quality controls and lineage as standard deliverables
- T-SQL and Python pipelines built for the team that inherits them
- Reporting that program staff can run without us
Application modernization
React and Next.js, Node, Python, .NET and C#, and API design. Legacy systems moved to Azure Government and AWS GovCloud.
- FedRAMP-inherited controls on government cloud
- Section 508 and WCAG 2.1 AA conformance on every interface
- Feature-flagged increments so the running system keeps working
Delivery discipline
CI/CD from day one, automated tests as an acceptance criterion, and security scanning in the pipeline.
- SAST, DAST, and SCA on every merge
- Weekly written status in your format
- Milestone-based, firm-fixed-price reporting
How an engagement runs
- Step 1
Scope and price
You send a scope or PWS. Within five business days you have a fixed price, a named team, and milestone dates.
- Step 2
Transition in
We start from the system as it is: repositories, open work, environments, and the people who run it today.
- Step 3
Increment delivery
Working software in increments behind feature flags, with tests and security scans gating every merge.
- Step 4
Report and hand off
Weekly written status in your format, milestone acceptance, and documentation the next team can use.
Technical stack
- AI
- Anthropic Claude, OpenAI, Azure OpenAI, retrieval pipelines, evaluation harnesses, MCP
- Application
- React, Next.js, Node, Python, .NET and C#, REST and OpenAPI
- Data
- SQL Server, PostgreSQL, T-SQL, Python, Power BI
- Platform
- Azure Government, AWS GovCloud, containers, CI/CD, infrastructure as code
- Quality
- Automated testing, k6 load testing, SAST, DAST, SCA, accessibility audits
Have a scope, a sources-sought, or a teaming need?
Send it over. You will hear back from Joseph Frasier directly, usually within one business day.