DI-DS builds custom AI-powered applications for commercial clients and provides the services around them: the consulting that decides what to build, the models at the core of the application, the datasets those models need, and the independent assurance that lets the result pass a security or compliance review. Every service is scoped and priced in writing before work begins, and the same services are available to government customers under NAICS 541511, 541512, 541715 and 518210.
Custom AI Application Development
DI-DS designs, builds, deploys and operates complete production AI applications: internal business tools such as document processing, knowledge assistants, workflow automation and forecasting, and customer-facing products with AI at the core. Delivery covers requirements, architecture and interface design; machine learning components integrated into backend services and user interfaces; cloud deployment on AWS or Azure with automated CI/CD; and web and mobile delivery on current, secure stacks. Engagements are fixed in scope and price, built in milestones that each ship working software, and end in either an operating arrangement or a documented handover. The applications DI-DS operates were developed through this service.
The solutions we build most often
AI & Data Consulting
DI-DS provides advisory and hands-on support for AI adoption, including opportunity assessment, roadmap development, vendor and model selection, and integration planning scoped to the organization's budget and staffing. A discovery and scoping engagement, typically two weeks at a fixed fee, is the usual starting point for a process that has not been automated before.
Custom AI Modeling
DI-DS develops purpose-built and fine-tuned models where commercial off-the-shelf products do not fit, across classification, prediction, computer vision and language tasks. Models are trained on the customer's data, evaluated against the customer's metrics, and delivered with documented results and a retraining process.
Dataset Acquisition & Building
DI-DS sources, collects and constructs the datasets a model requires, from public and licensed sources and through custom collection pipelines. Provenance is documented at every step, with licensing and compliance recorded alongside the data, and the customer owns the result.
Data Labeling & Curation
DI-DS provides annotation and labeling with quality assurance on every pass. Labeling quality determines whether a model performs in production, and DI-DS treats it as an engineering task with defined acceptance criteria.
AI Governance and Assurance
DI-DS provides independent security, reliability and governance assessments of AI systems as fixed-price engagements, for systems it built and for systems built by others. The AI Assurance Audit ($7,500 fixed) reviews one application; the Advanced Agent Red-Team (from $15,000) covers agentic, RAG and tool-using systems; Continuous Assurance (from $1,000 per month) provides recurring testing and reporting; SOC 2 Readiness ($9,500 fixed) and the HIPAA Risk Analysis ($7,500 fixed) prepare a system for the review a customer or regulator will require. A free AI Risk Snapshot, assembled from public information only, is available on request.
AI Assurance Audit · Agent Red-Team · Continuous Assurance · SOC 2 Readiness · HIPAA Risk Analysis · Risk Snapshot · Sample report
01
Define
DI-DS establishes requirements, available data, and the measurable outcome against which the work will be judged.
02
Design
Architecture, model strategy and interfaces are designed and scoped to a fixed deliverable.
03
Build
Development proceeds iteratively, with working software delivered at each milestone.
04
Sustain
DI-DS provides deployment, monitoring, retraining and support through the period of performance.