01
Agent Credentialing
Published accuracy scores against domain-specific scenario banks. Not "we trained it." "94.2% accuracy across 847 real scenarios." You see exactly where to trust the agent and where to verify.
AI domain experts reason about your data and deliver stress-tested verdicts with evidence, risk analysis, and exact next steps. In seconds, not days. With proof of accuracy, not promises.
How it works
Not a chatbot response. A structured decision with evidence, alternatives, risk analysis, and the stress test that tried to break it.
The difference
AI Chatbots
"Here are some options you might consider..."
Consulting Firms
"Based on our experience, we recommend..."
Primix
"Here is what to do, why, what could go wrong, and the proof."
The moat
Every AI company builds smarter agents. Nobody has built the reason enterprises trust those agents with real decisions. Until now.
01
Published accuracy scores against domain-specific scenario banks. Not "we trained it." "94.2% accuracy across 847 real scenarios." You see exactly where to trust the agent and where to verify.
02
Every verdict is attacked from multiple angles before you see it. You get the recommendation AND the stress test. 8 failure scenarios tested. You know which ones survived.
03
When AI experts disagree, you see the full argument. Not a sanitized slide deck. The tradeoffs. The concessions. The reasoning. That is where trust comes from.
04
The agent tells you when its own expertise might be outdated. Mechanical staleness flags per domain. Honest staleness beats confident hallucination. Every time.
05
Confidence calibrated against real results. "91% success rate across 43 tracked cases." Not model confidence. Actuarial confidence. The longer Primix runs, the tighter the calibration.
06
AI audits human expert work. Companies that won't let AI make decisions will let AI check decisions. Get in as the auditor. Graduate to the expert.
6
Trust mechanisms
4
Domains proven
847+
Scenario bank depth
94.2%
Credential accuracy
Expert Graph
Other platforms show you the answer. Primix shows you the argument. You see exactly why the design looks the way it does.
FortiExpert
"Single VDOM, collapsed core. Simplest operations, highest throughput. 940 Mbps measured. Budget-optimal at $127K."
ComplianceHealth
"Single VDOM fails HIPAA audit. Network segmentation between clinical and admin traffic is a regulatory requirement, not a preference."
REGULATORY CONSTRAINTFortiExpert
"ComplianceHealth's constraint is regulatory, non-negotiable. Revised design: Multi-VDOM with NP7-accelerated inter-VDOM routing. Compliance met. Throughput penalty less than 5%."
CONCEDES / REVISED DESIGNComplianceEng
"Revised design passes PCI segmentation requirements. HIPAA network isolation met with zone-based policy. All constraints satisfied."
RESOLVED / ALL CONSTRAINTS METThe agents
Not wrappers around a general model. Domain experts with published accuracy scores, tested against hundreds of real scenarios.
Networking + Security
FortiExpert
847 scenarios / 94.2% accuracy
PaloArchitect
612 scenarios / 91.7% accuracy
CiscoCore
734 scenarios / 92.1% accuracy
RedTeam
Live infrastructure testing
ComplianceEng
423 scenarios / 93.4% accuracy
Financial + Healthcare
MortgageExpert
312 scenarios / 91.8% accuracy
TaxAdvisor
508 scenarios / 88.3% accuracy
LegalReview
418 scenarios / 87.1% accuracy
ClinicalOps
298 scenarios / 92.4% accuracy
ComplianceHealth
445 scenarios / 94.1% accuracy
The pipeline
A repeatable process for building and certifying AI domain experts. Proven in 4 domains. Yours is next.
Feed the professional knowledge base: compliance frameworks, certification material, case law, vendor documentation, industry incident reports.
Synthesize into structured knowledge: decision trees, evaluation criteria, risk matrices, edge cases that separate experts from generalists.
Run the expert against real scenarios with known outcomes. Score results. Publish scores. This produces the calibrated agent AND the credential that proves it.
First engagement: human reviews. Third: human spot-checks. Tenth: agent operates autonomously, human governs exceptions. Trust is earned, not declared.
Beachhead domains
The synthesized SME pipeline creates expert agents in any domain. These four are live. Yours is next.
248 sprints. Red-teamed live infrastructure. Real-time exploitation code per target.
14 domains. 72 sub-domains. 29ms query response. Running FBO operations.
122,856 real alarms. 201 patients. Alarm intelligence and mortality reduction.
5 qualification paths in 30 seconds. DTI math, expense factors, lender matching.
The enterprise wedge
Companies that won't let AI make decisions will let AI check decisions. Upload your team's work. Get it reviewed by credentialed AI experts in minutes.
Both ISP connections terminate on same device. Split across two appliances with VRRP failover. Downtime risk: complete site isolation on device failure.
IoT medical devices share the admin VLAN. CMS Conditions of Participation require medical device network isolation. Compliance audit risk.
SLA policy references 8.8.8.8 but carrier blocks ICMP to Google DNS. SLA will never report healthy. Use carrier's designated probe targets.
247 rules reviewed. 0 overly permissive. VPN failover tested across 3 scenarios, all recovered. Certificate management uses ACME auto-renewal.
Available 24/7. Reasons about your specific data. Delivers verdicts in seconds. Proves its accuracy with mechanical evidence. And tells you when it might be wrong.