Trusted AI Expertise

Expert verdicts.
Not information.

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.

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Primix Mint
Describe your business.
The AI builds the team that runs it.
Mint generates a complete AI cognitive architecture from a plain-English business description. Not prompts. Not chatbots. A full team of AI minds with identity, reasoning chains, governance, and the sprint backlog to build it. Tested cold across 5 industries.
What you type
"I run a commercial fishing fleet out of Gloucester. 12 boats, 40 crew. We track catch weight, fuel burn, weather windows, and Coast Guard compliance. I need an AI that manages crew scheduling, predicts optimal fishing grounds from historical catch data, monitors engine health, and handles regulatory filings."
What Mint builds
PROJECT: Keel
AGENTS: 4 minted
Helm -- Fleet orchestrator. Crew scheduling, vessel assignment, weather routing.
Sonar -- Catch intelligence. Historical yield patterns, ground prediction, species tracking.
Bilge -- Engine health. Fuel burn anomalies, maintenance prediction, sensor monitoring.
Harbor -- Compliance. Coast Guard filings, catch reporting, license renewal automation.
FILES: CLAUDE.md, ARCHITECTURE.md, PENDING.md, 4 agent identities
COLD TEST: 4/5 PASS -- zero prior fishing knowledge
What you type
"I run analytics for a hospital system. Our data is siloed across EHR, billing, HR, and supply chain. Executives can never get a unified view. I need an AI intelligence engine that connects these systems, surfaces cross-system insights, and delivers executive dashboards that show things nobody has seen before."
What Mint builds
PROJECT: Prism
AGENTS: 5 minted
Lens -- Data unification. EHR + billing + HR + supply chain cross-mapping.
Cortex -- Insight engine. Cross-system anomalies, staffing-to-outcome correlations.
Shield -- PHI governance. De-identification layer, HIPAA audit trail, access control.
Beacon -- Executive intelligence. Natural language queries, verdicts not dashboards.
Pulse -- Real-time alerts. Supply chain disruption, staffing gaps, billing anomalies.
FILES: CLAUDE.md, ARCHITECTURE.md, PENDING.md, 5 agent identities
COLD TEST: PASS -- "never seen this data before" (exec reaction)
What you type
"We operate 3 long-term acute care hospitals. 200 beds. Our alarm fatigue is killing us, literally. Nurses get 600+ alarms per shift, ignore 95%. We also need to predict which patients are declining before the code is called. And a family portal so families stop calling the nurses station every hour."
What Mint builds
PROJECT: Prevena
AGENTS: 4 minted
Sentinel -- Alarm intelligence. 122K alarm analysis, fatigue scoring, smart suppression.
Oracle -- Clinical decline prediction. Vitals trending, early warning scores, mortality risk.
Bridge -- Family portal. Automated status updates, visit scheduling, care team messaging.
Audit -- Compliance. CMS reporting, Joint Commission prep, outcome tracking.
FILES: CLAUDE.md, ARCHITECTURE.md, PENDING.md, 4 agent identities
DATA: 122,856 alarms / 201 patients / 7,978 staff calls
What you type
"I'm a mortgage broker. I spend 3 hours per loan figuring out which program fits. Self-employed borrowers are the worst. I need an AI that takes a borrower profile, runs every program I have access to, picks the best path, and generates the pre-approval letter and conditions list. No loan officer needed for 80% of files."
What Mint builds
PROJECT: SparkClose
AGENTS: 3 minted
Spark -- Loan intelligence. Program matching, rate analysis, DTI optimization.
Underwriter -- Automated conditions. Document analysis, income calc, compliance check.
Closer -- Pipeline orchestration. Pre-approval generation, status tracking, borrower comms.
FILES: CLAUDE.md, ARCHITECTURE.md, PENDING.md, 3 agent identities
RESULT: 3 hrs/loan to 12 seconds -- stress-tested verdict
What you type
"Mid-size litigation firm, 45 attorneys. We burn 30% of associate hours on document review and case research that could be automated. I need an AI that does first-pass discovery review, finds relevant precedents, drafts motions, and flags conflicts of interest before we take new clients."
What Mint builds
PROJECT: Counsel
AGENTS: 4 minted
Discovery -- Document review. Relevance scoring, privilege detection, production sets.
Precedent -- Case intelligence. Jurisdiction-aware research, argument mapping, citation chains.
Drafter -- Motion generation. Template-free drafting, judge-specific formatting, cite checking.
Intake -- Conflict screening. Client/matter cross-reference, engagement letter generation.
FILES: CLAUDE.md, ARCHITECTURE.md, PENDING.md, 4 agent identities
IMPACT: 30% associate hours recovered -- billable capacity unlocked
COLD TRANSPLANT

Zero Prior Knowledge

Mint generates architectures for industries it has never seen. Tested cold on fishing, healthcare BI, and clinical ops. 4/5 pass rate with zero domain training.

MINUTES, NOT MONTHS

Full Architecture in One Pass

Identity files, agent topology, governance framework, sprint backlog, and production CLAUDE.md. Everything a team needs to start building. Generated in one conversation.

MIND COMPILER

Cognitive Architecture Engine

Underneath Mint is the Mind Compiler: the engine that transforms a business description into a complete cognitive topology with reasoning chains, trust mechanisms, and self-governance.

How it works
This is what a Primix verdict looks like.
Not a chatbot response. A structured decision with evidence, alternatives, risk analysis, and the stress test that tried to break it.
MortgageExpert -- Self-Employed Borrower, $1M Purchase
VERDICT: Bank statement loan. 12-month personal statements.
PATHS:
1. Bank statement (Non-QM): 19% DTI, 30-day close, 7.5% rate
2. Conventional + CPA letter: 40% approval probability, 6.8% rate
3. Asset depletion: requires $2M+ liquid, stacks on documented
4. 1099 program: only if income is 1099, not LLC revenue
5. Wait 6 months: conventional eligible, saves $28K, delays purchase
CONFIDENCE: 0.90 (93% of similar verdicts produced successful closings across 47 tracked outcomes)
STRESS TEST: 8 scenarios tested. 7 passed. 1 flagged:
FLAG: Commingled LLC funds may challenge bank statement calculations.
Mitigation: CPA letter explicitly separating business from personal deposits.
ACTION:
1. Gather 12 months personal bank statements
2. CPA letter documenting business viability
3. Submit to bank statement program
4. Close in 30 days
5. Calendar refinance review at 18 months
The difference
Three ways to get expert advice. Only one proves it.
AI Chatbots

Information

"Here are some options you might consider..."
  • No domain depth
  • No verification
  • No accuracy tracking
  • No stress testing
  • No staleness awareness
Consulting Firms

Advice

"Based on our experience, we recommend..."
  • Deep domain expertise
  • Days to deliver
  • $500/hr minimum
  • No published accuracy
  • You see the slide deck, not the argument
Primix

Trusted Verdicts

"Here is what to do, why, what could go wrong, and the proof."
  • Expert-level domain depth
  • Seconds, not days
  • Published accuracy scores
  • Every verdict stress-tested
  • Confidence calibrated against real outcomes
The moat
Six trust mechanisms that don't exist anywhere else.
Every AI company builds smarter agents. Nobody has built the reason enterprises trust those agents with real decisions. Until now.
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.

02

Adversarial Verification

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

Expert Graph

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

Knowledge Decay Detection

The agent tells you when its own expertise might be outdated. Mechanical staleness flags per domain. Honest staleness beats confident hallucination. Every time.

05

Outcome Tracking

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

Reverse Primix

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

5

Domains minted

847+

Scenario bank depth

94.2%

Credential accuracy

Expert Graph
Watch the experts work.
Other platforms show you the answer. Primix shows you the argument. You see exactly why the design looks the way it does.
FE
FortiExpert

"Single VDOM, collapsed core. Simplest operations, highest throughput. 940 Mbps measured. Budget-optimal at $127K."

CH
ComplianceHealth

"Single VDOM fails HIPAA audit. Network segmentation between clinical and admin traffic is a regulatory requirement, not a preference."

REGULATORY CONSTRAINT
FE
FortiExpert

"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 DESIGN
CE
ComplianceEng

"Revised design passes PCI segmentation requirements. HIPAA network isolation met with zone-based policy. All constraints satisfied."

RESOLVED -- ALL CONSTRAINTS MET
The agents
Pre-tuned to expert depth. Credentialed to prove it.
Not wrappers around a general model. Domain experts with published accuracy scores, tested against hundreds of real scenarios.

Networking + Security

FE
FortiExpert
847 scenarios / 94.2% accuracy
LIVE
PA
PaloArchitect
612 scenarios / 91.7% accuracy
LIVE
CC
CiscoCore
734 scenarios / 92.1% accuracy
LIVE
RT
RedTeam
Live infrastructure testing
DEEP
CE
ComplianceEng
423 scenarios / 93.4% accuracy
LIVE

Financial + Healthcare

ME
MortgageExpert
312 scenarios / 91.8% accuracy
LIVE
TA
TaxAdvisor
508 scenarios / 88.3% accuracy
LIVE
LR
LegalReview
418 scenarios / 87.1% accuracy
LIVE
CO
ClinicalOps
298 scenarios / 92.4% accuracy
LIVE
CH
ComplianceHealth
445 scenarios / 94.1% accuracy
LIVE
The enterprise wedge
Reverse Primix: AI audits your experts.
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.

Network Design Review -- Healthcare Facility

3 files uploaded / 3 agents reviewing
CRITICAL
Single point of failure at WAN edge

Both ISP connections terminate on same device. Split across two appliances with VRRP failover. Downtime risk: complete site isolation on device failure.

HIGH
HIPAA segmentation gap

IoT medical devices share the admin VLAN. CMS Conditions of Participation require medical device network isolation. Compliance audit risk.

MEDIUM
SD-WAN SLA probe misconfigured

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.

PASS
Firewall policy follows least-privilege

247 rules reviewed, 0 overly permissive. VPN failover tested across 3 scenarios, all recovered. Certificate management uses ACME auto-renewal.

The $500/hr consultant
is a $50/month agent.

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.

Request Early Access Schedule a Demo