Governed AIin Production
Sprinklenet builds and operates AI applications for enterprise and government, and our customers own their intelligence. The applications run on Knowledge Spaces, our managed service for AI governance and knowledge management.
Built for Any Model
Knowledge Spaces is LLM-agnostic: it supports more than 16 foundation models, and each application runs on the one you choose. Your governance stays in force when the model changes, so you keep portability and avoid vendor lock-in. Bring your own keys, or use any model through Sprinklenet's managed service. Your administrators set which models each application may use, and a model outside that list is rejected.
Bedrock
Application Layers on One Governed Platform
Knowledge Spaces is a commercially available managed service for AI governance and knowledge management, and the foundation for bespoke applications and agentic workflows. Applications built on it inherit identity, retrieval limits, guardrails, and the audit trail, so your budget goes to the application itself. It connects to the data sources and systems you already run through documented APIs, with interoperability built in and your systems of record left in place.
Application layers
Merlin
Falcon
Knowledge Spaces VRMS
- Identity and Role
- Policy and Guardrails
- Retrieval Boundary
- Audit Record
SharePoint
Entra ID
Microsoft 365
Salesforce
PostgreSQL
Commercial model families, hosted open models, or your own keys
Built on Knowledge Spaces
Nine applications Sprinklenet has built on its own platform, each for one defined job.
1 of 9
Merlin
AI governance and oversight.
Falcon
Capture and proposals.
Contract cost review for government contractors.
Knowledge Spaces VRMS
Vendor risk management.
Assistants
FARbot, CASbot, SpendBot, and private instances on your own sources.
Developer Platform
Bots, sessions, connectors, and governance, callable by API.
Six Gates on Every Request
Whichever model sits behind the application, every request passes six gates: identity, policy, retrieval, model routing, cited response, and audit. Each record in the audit trail is chained to the one before it. Human oversight stays in the path: people approve consequential actions, and the trail shows who approved what, when, and on which evidence.
The Record Chain, Verified in Your Browser
The hashes are computed here, in your browser. Alter any field, or press the button, and the chain breaks from that record on.
Executive Dashboards
With the Evidence Attached
Sprinklenet fuses data from disparate sources, including ledgers, case systems, workforce rosters, and document libraries, into one governed record layer. We then build the dashboards and decision support your leadership uses, with verifiable evidence behind every KPI. Open any figure to see its source records.
- Ledgers
- Case systems
- Maintenance data
- Workforce rosters
- Document libraries
Vibe Coding Stops at the Demo
A prompt can produce a working prototype in an afternoon. That prototype will not sign anyone in, respect a retrieval boundary, survive a second tenant, keep a record of what it answered, or change models without a rewrite.
Supplier renewal review
Model: Approved Foundation Model · Retrieval: Contracts, Policies · Guardrails: 2 applied
Audit record
09:31:07 · Reviewer 03 · REC-20491 · chained
09:30:52 · Analyst 11 · REC-20490 · chained
09:30:40 · Analyst 11 · REC-20489 · chained
Connected
Operated by
A named Sprinklenet team, reporting monthly
A System in Production
- IntegrationScoped, logged connections to your CRM, document stores, databases, and internal APIs.
- ScaleMany organizations under one operator, each isolated from the others.
- SecurityMulti-factor sign-in, SAML 2.0 SSO, CAC and PKI where the program requires it, and scoped API keys.
- GovernanceApproved sources, configurable guardrails, scored evaluation runs, and an audit trail your compliance team can export.
- OperationA named senior team accountable for uptime, model updates, cost, and access.
The platform is already in place, so a bespoke application does not take months or years.
Own Your Intelligence
That includes your data and your AI harness: the application code, connectors, prompts, and policies we build for you, and your team can read that source code. Your data does not train public or shared models.
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.
What You OwnAny Cloud or Fully Managed
Knowledge Spaces runs as a fully managed service, hosted and operated by Sprinklenet, or in your own cloud account on AWS, Azure, or Google Cloud, including government regions. On-premises and air-gapped networks are scoped for each engagement. In your own account, models can run through your cloud provider's model service or inside your network, so your data stays inside the boundary you set.
Microsoft Azure
- Fully Managed
We Ship Connectors Without Touching Your Data
Work starts on site with your objectives, policies, and ground truth, so the system is held to your authoritative sources and acceptance criteria from the first day. Connectors then ship into your environment in phases, built and tested on synthetic data, and each data source connects only when you authorize it.
- On-Site Discovery
- Connectors in Phases
- Data on Your Authorization
- Production and Operation
One Senior Team Advises, Builds, and Operates
The advisors who work with your leadership also set the guardrails, build the integrations, and connect the APIs, so the policy your board approves is the policy the system enforces.
Jamie Thompson
Founder and Chief Executive Officer. Founded Sprinklenet in 2014 and led the development of Knowledge Spaces. Works directly with client CEOs and senior leaders, and has served as a Principal Investigator on federally funded AI research.
- Senior staff from leading Silicon Valley companies
- Senior practitioners from federal agencies
- AI architects
- Developers and integrators
Forward-Deployed Engineers
Vetted senior engineers, from Sprinklenet or from a partner firm we train and support, work on site with your team. We deliver as prime or as a subcontractor, and the application code, the documentation, and the working knowledge stay with your team.
Sprinklenet AI Newsletter
Most weeks I send one short read on enterprise AI: what’s working in real deployments, what’s not, and what I’d do in your seat.
Jamie Thompson, Founder and CEO
Start With One Governed Workflow
Tell us the workflow, the systems involved, and your timeline. We will give you a demonstration on public or synthetic data, then scope a pilot and show exactly how it deploys with governance, audit, and citation built in. You see a first working version within two weeks of kickoff and pilot use within six weeks, and production follows your authorization.
Proof You Can Verify: FARbot at Compliance Lab, the security white paper, the public comment to the NIST NCCoE, the developer documentation, and our capabilities statement.
“Sprinklenet distinguishes itself from other providers by their rapid comprehension of a project, their ability to deliver precisely what is required from the output, and by their operational style: high trust, transparency and integrity. They receive my highest praise because they have earned it over years of collaboration.”