Seven
services.
Each service below is documented to procurement standard: the buyer problem it solves, what changes after we engage, scope of work, deliverables, and the boundaries of the engagement. Senior practitioners staff every brief.
Custom Software
Off-the-shelf software keeps almost fitting your workflow, but the gap costs your team hours every week and produces data your auditors can't fully trust. You've outgrown the configuration knobs and you're being asked to build.
The system models your operation the way your people describe it, not the way a vendor's product manager imagines it. Audit trails, identity, and access controls are written into the foundation. The codebase is documented well enough that your own engineers can extend it after we hand it off — and the handoff is a real handoff, not a parked retainer.
Full-lifecycle development of line-of-business applications, internal tools, and customer-facing platforms. We treat domain modeling and operational fit as first-class deliverables — software that matches how the work actually gets done, not how a generic SaaS imagines it. Senior practitioners on every engagement; no offshore handoffs.
- Generic SaaS configuration or reseller work
- Long-term managed-service operations after handoff (separate engagement)
- Hardware procurement or data-center work
- Marketing or sales-facing content production
- A named decision-maker with sign-off authority on scope and budget
- Subject-matter-expert availability during discovery
- A governance structure for review and decision-making
- Access to existing systems, documentation, identity, and source control
Systems Integration
Your core systems are a decade or two old. The vendors that built them are unresponsive or gone. New capabilities have to ship around the old systems, not through them, and every change carries integration risk that nobody quite wants to own.
New capabilities ship without waiting for the legacy stack to be rewritten. Data flows between systems become documented, observable, and reproducible — not tribal knowledge. When a full replacement is the right call, the migration runs in parallel with the original system so cutover is a measurable event, not a leap of faith.
Connect legacy systems to modern surfaces without a forklift rewrite. We map data flows, document interfaces, and build the integration layer that lets new capabilities ship while existing systems keep running. When replacement is the right answer, we run the migration with rollback windows and parallel-run periods.
- Net-new product development unrelated to an integration goal
- Long-term operation of legacy systems we have integrated with
- Vendor management of third-party SaaS contracts
- Bespoke hardware integration outside the data layer
- Documentation or system owners for each system in the integration scope
- A change-control process we can integrate into, or one we help you define
- Test-environment access to all systems being touched
- Stakeholder availability for parallel-run validation windows
AI Solution Building
You're being asked to ship AI capabilities your organization will be held accountable for, in an environment where "the model said so" is not a defensible audit response. The pilot worked in a notebook. The path from notebook to production is where most AI projects quietly stall.
The AI system has the operational scaffolding required for serious deployment: evaluation harnesses, human-review surfaces, cost controls, observability, and a rollback path. Decisions made by the model are traceable to inputs and policies your team can defend in front of auditors. Your people understand the system well enough to extend, retrain, or retire it without us in the room.
End-to-end design and implementation of AI-powered systems for regulated environments. We build production applications around large language models, retrieval pipelines, and machine-learning components — with the evaluation, observability, and human-review surfaces required for serious deployment. Engagements emphasize measurable outcomes, defensible architecture, and graceful failure modes.
- Foundation-model research or training from scratch
- Use cases where there is no acceptable human-review surface
- Procurement of GPU infrastructure (we advise; you contract)
- Ongoing model-tuning operations after handoff (separate engagement)
- A defined use case with measurable success criteria before kickoff
- Domain experts for evaluation-set construction and review
- Decision-rights clarity on acceptable model behavior and failure modes
- Sign-off authority on data access, retention, and AI-policy alignment
Data & Analytics
Your dashboards have grown faster than your data has stayed clean. Different teams cite different numbers for the same metric. The auditor asks where a figure came from, and the answer involves three spreadsheets and someone's laptop.
Metric definitions are versioned, documented, and reproducible. The pipeline that produces the number is testable, and the lineage from raw event to dashboard is legible to a non-engineer. Self-serve exploration is encouraged because the semantic layer can be trusted; ad-hoc queries become exceptions rather than the norm.
Data platforms, warehouses, and analytics surfaces engineered for accuracy and auditability. We build the pipelines, models, and dashboards that let leaders make decisions with confidence — and that hold up under audit. AI-enhanced analytics layered in where it adds clarity, not noise.
- Statistical research or data-science modeling unrelated to analytics
- Long-term ongoing dashboard authoring (we train your team)
- Procurement of data-warehouse licenses (we advise on fit)
- Privacy or legal review of data-collection practices
- Data-owner stakeholders for each source system in scope
- Agreement on canonical definitions for contested metrics before pipeline build
- Access to production data sources with appropriate scoping
- Review cadence with the business owners of each affected report
Cloud & DevOps
Your environments drifted from the diagram years ago. Deployments require the one engineer who knows the runbook. Incident response involves SSH into production and someone hoping they remember the right command.
Environments are defined as code, reproducible, and reviewable on a pull request. Deployment becomes a routine, procurement-auditable event rather than a heroic one. Incident response runs against named runbooks, with observability that points to the right system before someone has to guess. The team is no longer one engineer away from being unable to ship.
Cloud architecture, infrastructure-as-code, and CI/CD pipelines for organizations that need uptime and audit trails. We design for least-privilege access, reproducible environments, and predictable cost. Whether you are migrating, modernizing, or starting fresh, the goal is infrastructure that does not require heroics.
- Managed-service operations of the resulting infrastructure (separate engagement)
- Twenty-four-seven on-call rotations
- Network-hardware procurement or physical-cabling work
- Cost negotiations directly with cloud providers (we advise; you contract)
- Cloud-account ownership and IAM access for each environment in scope
- Agreement on the production change-control process before cutover
- Observability budget for telemetry tooling
- A named on-call lead from your side for the duration of the engagement
Security & Compliance
Your auditors are asking questions your engineering organization can't answer in under a week of investigation. Compliance evidence is collected by hand, just before each audit, by someone whose actual job is something else. Security work happens late in every project, when changing it is most expensive.
Security controls move from the end of the project into the development lifecycle. Evidence collection becomes a continuous, automated activity rather than an annual scramble. The threat model is documented and revisited at each major architectural change. When the auditor calls, your team can answer the question the same day, with citations.
Security work that takes regulatory frameworks seriously without letting them drown the engineering. We build controls into the development lifecycle, run threat modeling on what actually matters, and prepare evidence packages auditors can verify. Engagements range from one-off assessments to embedded security partners.
- Penetration testing as an offensive engagement (we coordinate with specialists)
- Legal interpretation of regulatory frameworks (we advise; you retain counsel)
- Ongoing security-operations-center (SOC) operations
- Physical-security or facility-access controls
- Access to the systems and codebases inside the audit boundary
- Engineering-team time for secure-SDLC training and rollout
- A named compliance owner with authority to accept control decisions
- Documentation of the regulatory frameworks the engagement must satisfy
UX & Product Design
Your power users are working around the software, not with it. Training new staff takes weeks because the workflow doesn't match how the work is actually done. Accessibility complaints are starting to surface, and there is no clear remediation plan.
The interface reflects the actual workflow, validated with the people doing the work — not just the people commissioning the software. Accessibility is documented against WCAG 2.2 AA, not aspired to. The design system the team inherits is opinionated enough to keep new screens consistent, and flexible enough to evolve as the product does.
Research-led product and interface design for complex domains. We talk to the actual users, map the actual workflow, and design systems that hold up across thousands of daily interactions. Accessibility is not an afterthought; it is a requirement we plan for from the first wireframe.
- Marketing-site or brand-identity design work
- Long-running design retainers after handoff (we transition to your team)
- Print or non-screen visual design
- User-acceptance-testing program management
- Access to actual end-users for research, contextual inquiry, and usability testing
- Product-owner authority on workflow and information-architecture decisions
- An engineering counterpart for design-handoff and feasibility review
- Agreement on the accessibility standard the work must meet before discovery
Start with a
problem statement.
We typically respond within a week, with the same kind of brief you see above: scope, deliverables, engagement boundaries, and a proposed shape for the work.
letscreate@nuarch.com