Federal Compliance Tools with Cited Answers
Ask FAR, CAS, and federal-spending questions in plain English. Compliance Lab returns sourced answers you can verify, then shows how the same platform works on your own policies and contracts.
Three Tools You Can Use Right Now
Free public tools for fast research, sourced guidance, and federal market intelligence.
Federal Acquisition Regulation
FARbot
Ask FAR questions in plain English. FARbot returns sourced answers with Research and Guidance modes for different levels of detail.
Use it to find the relevant clause, threshold, or exception faster.
Cost Accounting Standards
CASbot
Ask about Cost Accounting Standards and related audit questions. CASbot gives a preliminary answer with the cited authority and missing facts to check.
Use it to frame the issue before legal, accounting, or compliance review.
Federal Spending Intelligence
SpendBot
Ask about federal spending using public USASpending and U.S. Treasury data.
Use it to scan markets, agencies, award patterns, and budget movement.
How the Answers Stay Grounded
The point is not a smoother chatbot. It is a verifiable answer path.
Ask in Plain Language
Ask the way you would ask a colleague. The tool translates the question into a research path.
Retrieve from Primary Sources
It retrieves from curated regulatory or public-data sources instead of relying on model memory.
Answer with Citations
You get a direct answer, citations where available, and the facts that still need review.
Grounded and Cited
The tools are designed to show their sources, so a human can verify the answer before relying on it.
Numbers and Quotes Get Extra Scrutiny
Thresholds, citations, and quoted text are governed by stricter prompt rules and regression tests.
Kept Current
We refresh the grounding corpus as rules change, especially during the current FAR overhaul.
Private Instance
The same platform can be grounded in your policies, contracts, and prior work for a private internal instance.
Public Proof. Private Deployment.
Compliance Lab shows the standard: grounded answers, citations, and controlled scope. The engagement is applying that standard to your internal knowledge.
Sprinklenet designs and ships production AI systems for teams that need accuracy, governance, and a clear path from demo to operations.
Put This Discipline on Your Own Data
Tell us what needs to be reliable. We will scope the private Knowledge Spaces instance.
Not ready to talk? Run your AI Scorecard first →Building with your own engineering team? Start at Developers →
Questions, Answered
How accurate are the answers, and can they hallucinate?
The tools are designed to retrieve from authoritative sources and show citations where available. They are also tested against known risky areas such as dollar thresholds and quoted regulatory text. You should still verify cited text before acting.
Is our data secure and private?
A private instance is built for your organization and grounded in your approved data. Your policies, contracts, and questions are not folded into the public tools. We scope access, data handling, and security requirements before setup. For the full security posture, read our white paper on running AI on regulated data.
Can it use our own policies and contracts, not just public regulations?
Yes. We ground a private instance in approved internal policies, contracts, and prior work, so it can answer questions in the context of how your organization operates.
How fast can you build a private instance?
The public tools already run on Knowledge Spaces, so a private instance starts from an existing platform rather than a custom build from zero. Timeline depends on source quality, access requirements, and review needs.
Are the public tools really free?
Yes. FARbot, CASbot, and SpendBot are free to use. They show what grounded, cited AI looks like. The paid offer is a private instance built on your own data.
