AI for AI® · DSAIL® Verification Engine
Verifiable AI for Defense & Intelligence
Your AI can generate an answer. But can it prove it?
DSAIL® (Domain-Specific AI Language) is Jaxon's verification engine for verifiable AI, built on symbolic solvers that can't hallucinate. It turns your written policy into executable rules and checks every AI output against what the policy actually says. It returns a deterministic, fully auditable verdict: TRUE, FALSE, or UNKNOWN, each traced to the rule and citation that drove it.
Watch the demo
See DSAIL® work through SEAD-4.
A recorded walkthrough of DSAIL® applying the SEAD-4 adjudicative guidelines, from the source document to a verdict traced back to the guideline that decided it.
Benchmarked against frontier AI on SEAD-4
The only system in the test that could prove it
We ran 65 rule evaluations from the SEAD-4 National Security Adjudicative Guidelines against nine synthetic background investigation reports, five trials each. The same frontier models ran with DSAIL® and without it, using a tuned prompt, retrieval (RAG), or a second model acting as judge. Same rules, same reports, same ground truth.
| With DSAIL® | Without DSAIL® | ||||
|---|---|---|---|---|---|
| Metric | Claude Opus 5.5 | GPT 5.6 Sol | Claude Opus 5.5 (prompt) | GPT 5.6 Sol (prompt) | GPT 5.6 Sol + RAG (best) |
| Consistency | 100% | 100% | 89.2% | 95.4% | 95.4% |
| Correctness | 100% | 100% | 60.0% | 78.5% | 73.8% |
| Runtime (seconds) | 195 | 128 | 240 | 136 | 161 |
| Auditability | ✓ | ✓ | ✗ | ✗ | ✗ |
Inside DSAIL®, both models returned the correct verdict on every rule in every trial, faster than the same models on a plain prompt. Without it, 649 of 983 wrong verdicts were a TRUE or FALSE on a rule the report left open. A second model reviewing the first did not close the gap: the best LLM-as-Judge pairing stayed at 78% correct. Only DSAIL® left a reasoning trace on every determination. Read the full methodology at jaxon.ai/benchmark or request per-item results at fed@jaxonai.com.
By the Numbers
The problem is scale. The risk is defensibility.
The Problem
Human review does not scale. Existing AI tools cannot be trusted.
Every existing approach to AI compliance is a probabilistic guess. In clearance adjudication, FOIA processing, and security classification, a probabilistic guess is an oversight finding waiting to happen.
- RAG retrieves context but cannot verify compliance.
- LLM-as-Judge returns inconsistent verdicts with no audit trail.
- Knowledge graphs structure relationships but can't read a document or produce a verdict.
- Outputs cannot be traced to the statutory citation that drove them.
- Compliance officers must sign off under personal and agency liability, with no provable basis to stand behind.
- Encodes your written policy into machine-executable rules.
- Returns TRUE, FALSE, or UNKNOWN with a full reasoning trace, every time.
- Deterministic architecture. The same inputs produce consistent results.
- Every verdict tied to the specific statutory citation that drove it.
- Output you can defend before an IG, a committee, or a commander.
How DSAIL® Works
Three steps from written policy to a provable decision.
EXTRACT
The LLM reads the document and answers tightly scoped, rule-specific questions to surface the facts.
ENFORCE
A formal logic solver evaluates those facts against your agency's encoded policy. Never a probabilistic guess.
PROVE
One verdict, fully traced to the governing citation. Defensible on demand.
Use Cases · Defense & Intelligence
Your policy, formally enforced, on every document.
Verifiable AI for defense means the same encoded policy applied to every document, in every workflow, with a reasoning trace on each determination.
Who It's For
Built for the people who sign off, and the people who deploy.
Verifiable AI has to satisfy two people at once: the officer who signs the determination, and the team that has to stand it up inside an accredited environment.
For the end user
Consistent determinations, every time
Decisions you can defend
You stay in control
Your policy, not ours
Deployment
Your infrastructure. Your data. Your rules.
Verifiable AI is only useful if it runs where the data already lives. Nothing leaves your authorized boundary. Jaxon is model-agnostic and runs entirely under your control, from connected cloud to disconnected edge.
Private Cloud
AWS · Azure · GCP VPC
Data never leaves the cloud environment. Full control over network egress.
On-Premises
Your own data center
Runs entirely within your own infrastructure. No data leaves your environment.
Tactical / Edge
Austere environments
Small models manage inference and extract data. No LLM or GPU required.
Air-Gapped
Fully disconnected
Operates fully disconnected from any external network.
Governing standards, encoded
Get in Contact
Ready to embed verified AI into your Defense & Intelligence workflows?
Jaxon's onboarding team works directly with adjudication centers, classification offices, FOIA offices, and CDAO staff. Your subject-matter experts codify the guidelines themselves, and how those experts apply them in practice, before any document is processed. That is what verifiable AI looks like in an operational federal workflow.
Request a discovery call
Or write directly: fed@jaxonai.com
FAQ
Questions federal teams ask first.
What is verifiable AI, and how does DSAIL® deliver it?
Verifiable AI means every output can be independently checked against the policy that governs it. DSAIL® encodes your written policy as formal logic, evaluates each document against it with a solver, and returns TRUE, FALSE, or UNKNOWN with the rule that fired, the evidence extracted, and the governing citation.
How is this different from RAG or an LLM-as-Judge?
RAG retrieves context and an LLM-as-Judge offers an opinion. Neither can prove a verdict. DSAIL® evaluates the extracted facts against your encoded policy with a formal logic solver, so every TRUE, FALSE, or UNKNOWN is traced to the specific rule and citation that produced it, and it returns that verdict at API speed rather than at the pace of a manual second review. See how each approach scored in the benchmark.
Does Jaxon replace our adjudicators, classifiers, or FOIA officers?
No, your officers keep final decision authority over every determination. DSAIL® takes on the volume: it checks each document against your encoded policy at API speed and returns TRUE, FALSE, or UNKNOWN with the rule, evidence, and citation behind it. Reviewers can confirm a determination by reading that trace instead of re-reading the whole file, and spend their time on the cases that turn on judgment. Your SMEs approve the ruleset before any document is processed, so the logic DSAIL® applies is the logic your office signed off on.
What does UNKNOWN mean, and what happens to it?
UNKNOWN means there is not enough in the document to decide the rule. It is not the model hedging, and it is not a bucket routed onward: if the record is silent on a condition, a reviewer reading the same document could not determine it either. How an UNKNOWN resolves is set per rule when your policy is encoded, and for regulatory work the default is to flag the missing information rather than assume it. Either way the verdict is recorded: the rule fired, and the trace shows what was missing.
What policies can DSAIL® encode?
Any policy your organization has in writing. If a person can read the rule and apply it to a document, Jaxon can encode it. Defense and intelligence examples include SEAD-4, FOIA exemptions, Security Classification Guides, and FOCI/CMMC criteria. Jaxon's policy engineers encode the written standard and how your agency applies it, and your SMEs approve the ruleset before any document is processed.
What does a DSAIL® verdict include?
Every verdict is TRUE (the document meets the rule), FALSE (the document shows it doesn't), or UNKNOWN (the document doesn't say enough to decide). Each one ships with the rule that fired, the facts extracted from the document, and the citation in your policy, so anyone can retrace how it was reached and get the same result. For example, a SEAD-4 alcohol mitigation rule asks whether the subject is in counseling or treatment, has no relapse history, and is progressing satisfactorily. If the report's only source says they “lost contact with Subject after graduation,” DSAIL® returns UNKNOWN, and the trace points to the exact fact the report never establishes: whether the subject is in treatment now.