Merlin
Merlin runs AI governance as a working program, from the inventory of every AI system to release gates, a risk register, and an evidence trail that can be verified at any time.




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Scope a Six-Week Pilot
Each application is built for a defined job and runs on the customer's data, with the access rules and audit trail the job requires. Most run as managed applications on Knowledge Spaces, and any of them can be built in your environment when the program calls for it.
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Contract cost review for government contractors.





Assistants
FARbot, CASbot, SpendBot, and private instances on your own sources.

Merlin runs AI governance as a working program, from the inventory of every AI system to release gates, a risk register, and an evidence trail that can be verified at any time.




Falcon supports capture and proposals. It ranks opportunities by fit, extracts requirements into a compliance matrix with an owner for each, and drafts sections with every source cited and every unverified claim flagged for human review.




MASTYF reviews contract costs for government contractors. A reviewer decides each ledger cost with the governing contract passage and the cited records in view, and the review closes with reconciled figures and hashed exports.




Knowledge Spaces VRMS manages vendor risk, with due diligence, risk scoring, and continuous monitoring on one auditable record. Each assessment is drafted with numbered sources for a reviewer to accept, change, or reject.




Assistants ground each answer in approved sources and show them. FARbot, CASbot, and SpendBot run on public federal sources at Compliance Lab, and a private instance applies the same approach to your own policies, contracts, and regulations.





Sprinklenet fuses data from disparate sources into one governed record layer for leadership. Every KPI links to the records behind it, and each statement in the decision brief cites a source a reviewer can open.


This results console, built for a partner, limits access by role and by site and identifies records by token. It is one example of the client-facing layers Sprinklenet builds.



AB HUB is a partner's operating hub, run under the partner's own brand on Sprinklenet's platform, with live session monitoring, cited analysis, and an audit log of every action.




Bots, sessions, connectors, and governance are callable under organization-scoped keys. Register, add a model key, and make the first governed call in minutes.



Your knowledge is the product: you bring your methodology and your data, and Sprinklenet builds your application on Knowledge Spaces, ships it to production, and stays to run it with you. Knowledge Spaces already provides the parts of AI software that cost the most to build: governed data, tenant isolation, model routing, and a provable record behind every answer. With the platform in place, a bespoke application does not take months or years.

A chatbot can tell you what a FAR clause means. A governed agentic system can review a solicitation, identify applicable FAR and DFARS clauses, check approved compliance documentation, flag gaps, and draft a remediation plan from a scoped instruction. These workflows run inside your environment with bounded tools and your permissions, and they stop for human approval before any consequential action.

Adoption is part of delivery. We begin with the tasks end users already perform and the decisions they remain responsible for, and each application ships with role-based training, local champions, and usage reporting. End users ask in plain language, see the source behind each answer, and have a visible way to flag an unsupported answer or an outdated source. Section 508 conformance is a delivery requirement on every federal application, with test plans, results, and an Accessibility Conformance Report.

Name the job the application has to do and who owns it today. We will demonstrate the closest application on public or synthetic data, then scope the pilot.