AI-Powered Application Development Services | Sprinklenet

Application Services

Enterprise Platforms With AI at the Core

We build custom AI applications on Knowledge Spaces, our governed control layer. Your data, systems, and workflows integrate directly into production software, with full audit, access control, and a 16-model engine underneath. Federal and commercial, cloud to air-gapped.

Sprinklenet Application Services

What We Deliver

Every application ships on Knowledge Spaces: orchestration across 16 models, retrieval over your governed data, four-tier role-based access, and 64+ audited event types. Built for production where every action has to be accountable.

Mobile App Development

AI-Powered Enterprise Platforms

Knowledge Spaces is the platform every application runs on: a managed AI environment with 16 models and deployment from cloud to air-gapped. It is in production today behind enterprise products, and FARbot, built on it, is live and publicly available at sprinklenet.com/farbot.

Enterprise Solutions

Secure Application Development

Custom web applications, API services, and data platforms built to enterprise and federal security standards, with SAML, CAC, and PKI authentication and four-tier access control. Deploy on AWS, Azure, GCP, on-premises, GovCloud, or air-gapped, with FedRAMP and FISMA compliance pathways where required.

Technology team augmentation and staff extension services

Technical Advisory & Implementation Support

Extend your team with senior AI architects, platform engineers, and technical project managers who integrate directly with your organization. Our consultants bring federal systems experience and security clearance readiness.

How a Six-Week Pilot Runs

A senior Sprinklenet team scopes, builds, and deploys one governed workflow on your data. At the end of six weeks, real users can use it, you have measured results, and leadership has a clear decision on expansion.

Weeks 1–2

Scope and Architecture

Choose the workflow, success measures, systems, data, and governance requirements.

Weeks 3–4

Build and Test

Build the workflow on your data inside a governed Knowledge Space.

Weeks 5–6

Deploy and Measure

Put it in front of real users with guardrails, audit, and an expansion plan.

Request a Consultation

Bring us a workflow. We will scope it and show you the application running on Knowledge Spaces in six weeks.

Building with your own engineering team? Start at Developers.

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