Fully Managed or Deployed in Your Environment

Sprinklenet hosts and operates your applications as a managed service, or deploys them in your own cloud account or network, where your team can own and run them. In both cases the work starts on site with your objectives, policies, and ground truth, and you control when your data connects.

What You Can Buy

First Engagements

Six-Week Pilot

One governed workflow in front of real users, on the data you authorize.

Scope a Six-Week Pilot

Integration Review

A map of systems, data, permissions, and success measures, and a fixed scope for the build.

Request an Integration Review

Governance Review

A gap assessment against the NIST AI Risk Management Framework and a sequenced plan.

Request a Governance Review

Each review stands on its own.

Ongoing Engagements

Managed Operation

A purpose-built application on Knowledge Spaces, operated by a named senior team under service levels in Sprinklenet's managed cloud or a dedicated tenant, with new workflows added on the same platform. It starts with a Six-Week Pilot.

Request Managed Operation

Delivery in Your Environment

A new application or an improvement to an existing system, built in your cloud account or network under your security controls, with documentation, runbooks, and training. Your team operates it, or Sprinklenet does alongside your team, and it starts with an Integration Review.

Request Delivery in Your Environment

Forward-Deployed Engineers

Vetted senior engineers, from Sprinklenet or from a partner firm we train and support, on site with your team. We deliver as prime or as a subcontractor. It starts when you send the roles, the stack, and the start date.

Send the Roles

Retained Advisory

A retained Chief AI Officer who works alongside your leadership every month.

Request Retained Advisory

Partner Engagements

Your Methodology as a Product

Your knowledge, under your brand, delivered to many clients in isolated organizations on Knowledge Spaces.

Bring Your Methodology

Teaming With Primes

A defined AI scope on your pursuit or program, including Knowledge Spaces as a hosted service or under a commercial license in the program's environment. The prime leads, and Sprinklenet delivers its scope under the teaming agreement.

Request the Pursuit Package

To see it running first:Request a Demonstration

Federal requirements and pursuits:Government and Teaming

Engineering teams building their own layer:Start at Developers

You own your data and the application layer we build for you under the engagement. Knowledge Spaces is Sprinklenet's proprietary platform and is provided as a hosted service or under a commercial license.

On-Site Discovery

Engagements start on site with your objectives, policies, and ground truth. Ground truth means the authoritative sources and acceptance criteria the system will be held to. Discovery tests whether the data and documents behind each use case are current and ready before the build starts, and it produces a current-state assessment, a ranked use-case list, and a roadmap leadership can fund.

How a Six-Week Pilot Runs

A senior Sprinklenet team scopes, builds, and deploys one governed workflow on Knowledge Spaces, with agreed metrics and acceptance criteria for each phase. At the end of six weeks, real users can use it, you have measured results, and leadership has a clear decision on expansion. Production follows your authorization.

  1. Weeks 1–2Scope and First BuildOn site with your team, we choose the workflow, success measures, systems, data, and governance requirements. Within two weeks of kickoff you see a first working version on public or synthetic data.
  2. Weeks 3–4Build and TestWe build the workflow inside a governed Knowledge Space and connect each data source when you authorize it.
  3. Weeks 5–6Deploy and MeasureWe put the pilot in front of real users with guardrails, the audit trail, and an expansion plan.

We Run It With You

When the Six-Week Pilot proves value, we stay on as your platform team, through a monthly engagement with a named senior team accountable for outcomes. We do not hand off and leave. We run the platform to production standard, with service levels covering incident response, disaster recovery, rollback, and sustainment, and we ship your next high-stakes workflow on the same governed platform with no rebuild. Where your team will operate the application, we provide runbooks, training, and scheduled knowledge transfer.

Deliverables and Reporting Cadence

Tell Us Where It Has to Run

Send the workflow and the environment it has to run in, and we will propose an Integration Review that produces a fixed scope.