Sinergy Solutions
CORTX Platform

Your Team Drowns in Manual Work.
You Can't Use AI Yet.

Click the pain points you're experiencing right now:

📊 Manual Reconciliation

Days of Excel hell every month. GTAS, CARS, Treasury reports. Manual cross-checks. Rework cycles.

📋 Compliance Burden

Auditors ask for evidence you don't have. ATO takes forever. Spreadsheet governance doesn't scale.

🤖 AI Too Risky

You want AI speed but can't explain decisions to regulators. Black boxes get rejected. No fallback plan.

🔄 Can't Replace ERP

Oracle, SAP cost millions. Multi-year migrations too risky. Need solutions that work WITH existing systems.

Select your pain points above to see how CORTX addresses them...

CORTX is Your Trust Layer

Think of it like guardrails on a mountain road — they let you drive fast because they're there.

🔄 Intelligent Augmentation, Not Replacement
CORTX works with your existing Oracle, SAP, or PeopleSoft ERP—it doesn't replace it. No rip-and-replace. No expensive migrations. Deploy in weeks, not years.
⚠️ Full Transparency: We're Launching to Market
CORTX is pre-commercial. The platform is built and tested (1,348+ tests, validated by 30-year Federal Finance SME), but you could be our first pilot agency. Early adopters get preferred pricing, co-development input, and dedicated engineering support. Help us prove it in your environment.

What it does for you:

  • Runs your rules first — Start safe with deterministic logic (your current process, automated)
  • Tests AI in parallel — Measure accuracy before you trust it
  • Switches when you're ready — Only promote AI when it proves itself (≥99.5% accuracy)
  • Falls back automatically — Low confidence? AI timeout? Falls back to rules. No failures.
  • Logs everything — Auditors can verify every decision. Immutable proof.
  • Keeps your ERP intact — Extract data, enhance with AI, export results. Your stack stays unchanged.

Three Modes, Your Choice

Mode 1: Safe
Rules execute. AI explains. ATO-ready day 1.
Mode 2: Test
Rules + AI in parallel. Measure deltas. Build confidence.
Mode 3: Fly
AI primary. Auto-fallback to rules when needed.

You control the pace. No all-or-nothing bets.

What's It Worth to You?

Move the sliders to see your estimated savings:

2,000
8 min
$70/hr

Your Estimated Annual Savings

$134,400

Based on 60% automation (conservative estimate)

Note: This only counts time savings. Excludes:
• Error reduction & rework prevention
• Faster audit cycles (ATO acceleration)
• Avoided findings & fines
• Better decision quality

Pricing & Procurement

Transparent pricing designed for federal budgets. Early adopter advantages available.

🎯 Pilot Program (First 5 Agencies)

$75K

60-Day Pilot + 90-Day Full Deployment

What's Included:

  • GTAS reconciliation workflow setup
  • Oracle/SAP/PeopleSoft integration
  • Up to 1,000 transactions/month
  • Conservative mode (rules + AI explanations)
  • Dedicated implementation engineer
  • Slack support (24-hour response SLA)
  • All platform features unlocked

Early Adopter Benefits:

  • 50% off first-year subscription after pilot
  • Co-development input on roadmap priorities
  • Reference customer priority (your choice)
  • Dedicated engineering support through pilot

📋 Standard Subscription (Post-Pilot)

$15K /month

Billed annually • Scales with transaction volume

  • Up to 5,000 transactions/month
  • All three modes (Safe, Test, Fly)
  • Unlimited users
  • Platform updates included
  • Email + Slack support
  • 99.5% uptime SLA

Volume Tiers:

  • 5K-25K transactions: $25K/month
  • 25K-100K transactions: $45K/month
  • 100K+ transactions: Custom enterprise

🏛️ Federal Procurement Paths

  • Direct Award — Pilot under $250K simplified acquisition threshold
  • GSA Schedule — Application in progress (Q2 2026 target)
  • Cooperative Purchase — Leverage other agency contracts
  • 8(a) Set-Aside — SBA-certified small business (if applicable)

Implementation: 60-90 days agency effort + vendor support

💡 Pilot Success Criteria (You Decide If It Worked):

✅ GTAS reconciliation time reduced by ≥40%
✅ Validation accuracy ≥95% (vs. manual review)
✅ Zero compliance violations introduced
✅ Team adoption rate ≥70%
✅ Audit-ready evidence generated for all decisions

Exit Strategy: 30-day notice, full data export (CSV/JSON), no penalties

Your 90-Day Rollout

From kickoff to production — here's what happens when:

Week 1-2

Map Your Pain

We document your current process. Find the manual bottlenecks. Set success metrics.

Week 3-6

Build Your Guardrails

Configure your rules (Mode 1). Test on safe data. Evidence starts flowing day 1.

Week 7-10

Test AI Side-by-Side

Run Mode 2 (Compare). Measure AI accuracy. Find where it's ready to take over.

Week 11-12

Go Live

Production rollout. Training (2 hours). Queue next use-cases.

Start with a 30-Day Pilot

Not ready for 90 days? Start with a scoped pilot. Prove value on one workflow. Low risk, high visibility.

What You Actually Get

✅ Built & Tested (Ready for First Pilot)

🎨 Visual Workflow Designer — Drag-and-drop BPM editor with 28+ federal-compliant node types. Build workflows 85% faster without code. Operational now.

🏛️ Treasury QSMO-Aligned GTAS Validation — 27 rules validated by 30-year Federal Finance SME (CPA, Oracle expert). Real-time validation < 500ms. Designed to prevent 80% of downstream issues.

📋 Sinergy Method Governance — 8-phase AI lifecycle management with automated evidence collection. 2 operational services, 100% test coverage.

🔐 21 Production Microservices — Compliance, Ledger, RAG, AI Broker, Workflow Orchestration. 1,348+ tests, 85%+ coverage. Python/FastAPI backend, Node.js frontend, multi-cloud serverless.

For Your Team

  • 60-80% less manual work
  • 6-10× faster cycle times
  • No rework (validation up-front)
  • Visual no-code workflows
  • Same oversight, less drudgery

For Your Auditors

  • Every decision logged (immutable)
  • Full audit trail (who, what, when)
  • Exportable evidence (PDF/JSON)
  • ATO-ready from day 1
  • Treasury-validated GTAS rules

For Your Budget

  • Fixed pilot pricing (no surprises)
  • SaaS subscription (scale up/down)
  • No rip-and-replace needed
  • Deploy in weeks, not years
  • Payback in <9 months

Ready to see how it works with your data?

How CORTX Connects to Your Systems

No tight coupling. No rip-and-replace. CORTX sits alongside your existing ERP and enhances it.

Extract → Enhance → Export Architecture

📥 Extract

Your ERP
(Oracle/SAP/PeopleSoft)

Scheduled data pulls
(CSV, JSON, XML, Excel)

→

🧠 Enhance

CORTX AI
(Validation/RAG)

AI processing in secure
serverless environment

→

📤 Export

Your Systems
(Updated Data)

Validated results returned
(human approval workflows)

🛠️ Tech Stack (Production-Ready)

  • Backend: Python (FastAPI), PostgreSQL, Redis
  • Frontend: Node.js, React
  • Cloud: Multi-cloud serverless
    • AWS Lambda
    • GCP Cloud Run
    • Azure Functions
  • Deployment: Your choice of cloud (AWS, GCP, Azure)
  • Scaling: Automatic (serverless = pay per use)

🔐 Security & Compliance

  • FedRAMP Moderate Roadmap (2026) — Architecture designed to baseline controls. Authorization planned after pilot success.
  • Data Residency: Operates within your authority boundary (no data export)
  • Audit Trail: SHA-256 hash-chain Evidence Ledger (immutable)
  • Authentication: PIV/CAC support, SAML/OAuth SSO
  • Encryption: TLS 1.3 in-transit, AES-256 at-rest

Integration Approach

1. Extract: Scheduled data pulls (not real-time integration). Standard formats or optional API connectors.

2. Enhance: CORTX validates and enriches data in secure environment. All processing in your authority boundary.

3. Export: Validated results returned to source systems. Human approval workflows for sensitive decisions.

No tight coupling = Lower risk, faster deployment

Why Serverless?

  • Cost-effective: Pay only for compute used (no idle servers)
  • Auto-scaling: Handles spikes without manual intervention
  • Modern & secure: Managed by cloud provider (patching, monitoring)
  • Multi-cloud ready: Deploy to AWS, GCP, or Azure (your choice)
  • Fast deployment: No infrastructure provisioning (weeks → days)
💡 For Technical Buyers:
Want to dive deeper into the architecture? We can share technical diagrams, API docs, and infrastructure-as-code. Schedule a technical deep-dive with our Solutions Architect.

Platform Architecture — 21 Production Microservices

Modern, scalable, cloud-native architecture. Designed for federal compliance and multi-tenant isolation.

USER INTERFACE LAYER
React SPA • CORTX Designer (BPM) • Evidence Dashboard
↓
API GATEWAY & AUTH
FastAPI Gateway • AuthN/AuthZ Service • Rate Limiting • mTLS
↓
WORKFLOW LAYER
• Orchestrator
• Workflow Engine
• Job Scheduler
AI/ML LAYER
• AI Broker
• RAG Service
• Embeddings
• Vector Search
RULES LAYER
• Rules Engine
• RulePack Manager
• Validation Service
↓
COMPLIANCE & AUDIT
• Evidence Ledger
• Audit Log Service
• Control Mapper
• Compliance Reporter
SINERGY METHOD
• Design Service (8150)
• Development Service (8160)
• Governance APIs
↓
DATA LAYER
PostgreSQL (metadata) • pgvector (embeddings) • Redis (cache) • S3 (documents)
↕
INFRASTRUCTURE SERVICES
Monitoring • Logging • Metrics • Secrets Manager • Backup/DR

🏗️ Architecture Principles

  • Microservices: 21 independent services, loosely coupled
  • Multi-tenant: Row-level security, tenant isolation
  • Event-driven: Async messaging for scalability
  • API-first: RESTful APIs, OpenAPI specs
  • Cloud-native: Serverless deployment (AWS/GCP/Azure)
  • Observability: Distributed tracing, metrics, logs

🔧 Technology Stack

  • Backend: Python 3.11+, FastAPI, Pydantic
  • Frontend: React 18, TypeScript, TailwindCSS
  • Database: PostgreSQL 15+ with pgvector extension
  • Cache: Redis (session, rate limiting)
  • AI/ML: AI Broker (supports OpenAI, Vertex AI, Azure OpenAI, Claude), LangChain
  • Infrastructure: Docker, Terraform, GitHub Actions

📊 Production Metrics

  • 1,348+ tests (unit, integration, E2E)
  • 85%+ coverage across all services
  • SonarQube A-rating (code quality)
  • <200ms p95 latency (API responses)
  • 99.9% uptime target (SLA)
  • Multi-region deployment (HA/DR ready)

🔗 For Technical Review: Full architecture diagrams, API documentation, and infrastructure-as-code available upon request. Schedule a technical deep-dive with our Solutions Architect to review microservices design, security architecture, and deployment patterns.

Built by Federal Finance Experts, Validated by the Best

CORTX is pre-commercial, but that doesn't mean it's unproven. Here's what we've built and who's validated it.

👨‍💼 Expert Validation

Validated by 30-Year Federal Finance SME

  • CPA with deep federal financial management expertise
  • 30+ years implementing Oracle Financials in federal agencies
  • Well-known in the Oracle federal community
  • Reviewed all 204 GTAS validations (27 rule categories) against Treasury standards
  • Validated compliance logic and Treasury alignment

Technical Validation: All 204 GTAS validations (27 rule categories) reviewed by 30-year Federal Finance SME (CPA, Oracle Financials implementation expert). Rules are Treasury-aligned and designed to prevent common reconciliation errors.

— SME validation details available in Evidence section

🛠️ Technical Readiness

Production-Grade Infrastructure (Not a Prototype)

21
Microservices
1,348+
Automated Tests
85%+
Test Coverage
0
Critical CVEs

Tech Stack

  • Backend: Python (FastAPI), PostgreSQL, Redis
  • Frontend: Node.js, React
  • Cloud: Multi-cloud serverless (AWS Lambda, GCP Cloud Run, Azure Functions)
  • Security: Designed for FedRAMP Moderate baseline (auth roadmap 2026)
  • Code Quality: SonarQube A-rating, Dependabot monitoring

What's Operational Now:

  • BPM Designer — Visual workflow editor (demo available)
  • 204 GTAS Validations (27 categories) — Treasury-aligned, SME-validated
  • Sinergy Method Services — AI governance (Phases 1-2.1)
  • 21 Microservices — Compliance, Ledger, RAG, AI Broker

🎯 Launch Status: Seeking First Federal Pilot Agency

What You Get as an Early Adopter:

  • Preferred pricing (significantly discounted for first agencies)
  • Co-development input (your feedback shapes the roadmap)
  • Dedicated engineering support (direct access to builders)
  • Pilot deployment in 4-6 weeks (fast turnaround)
  • Case study partnership (become the agency we reference)

What We're Looking For:

  • Federal agency with GTAS reconciliation pain
  • Willingness to provide feedback and metrics
  • 30-90 day pilot commitment
  • Finance team ready to test with real data

→ Be the agency that proves CORTX works. Get early adopter advantages.

Want to validate our GTAS compliance with our Federal Finance SME?

GTAS Validation Engine — Technical Deep-Dive

204 validations and edits across 27 Treasury-aligned rule categories. Validated by federal finance experts with 30+ years of month-end close experience.

Rule Example 1: Fund Balance with Treasury (FBWT) Reconciliation

Treasury Standard: TFM Volume 1, Part 2, Section 4600
USSGL Mapping: Account 1010 (Fund Balance with Treasury)
Validation Logic: GTAS 1010 balance must equal Treasury cash balance

What It Checks:

  • Oracle Financials extraction: Query USSGL 1010 balance from GL_BALANCES
  • GTAS comparison: Compare to GTAS USSGL_1010 reported balance
  • Treasury verification: Match against Treasury Statement of Transactions (SOT)
  • Flag discrepancies: If variance >$1 or 0.01%, flag for review

Prevents: #1 cause of GTAS reconciliation errors (cash balance mismatch)

Rule Example 2: Intra-governmental (IGT) Eliminations

Treasury Standard: TFM I-4-12 (Intra-governmental Transactions)
USSGL Mapping: Accounts 1351-1399 (IGT Receivables)
Validation Logic: IGT receivables must have matching eliminations

What It Checks:

  • Identify IGT transactions: Extract all USSGL 1351-1399 entries
  • Cross-reference TAS codes: Validate trading partner agency TAS
  • Verify eliminations: Check for corresponding elimination entries
  • IPAC/ICS matching: Confirm Intra-governmental Payment and Collection codes

Prevents: IGT imbalances that delay government-wide consolidation

Rule Example 3: Budgetary vs. Proprietary Reconciliation

Treasury Standard: TFM Volume 1, Part 2, Section 4300
USSGL Mapping: Budgetary (4xxx, 5xxx) vs. Proprietary (1xxx-3xxx)
Validation Logic: Net position must reconcile to unexpended appropriations

What It Checks:

  • Budgetary totals: Sum all 4xxx and 5xxx USSGL balances
  • Proprietary totals: Calculate net position from 1xxx-3xxx accounts
  • Reconciliation formula: Assets - Liabilities = Unexpended Appropriations + Cumulative Results
  • Variance threshold: Flag if difference exceeds $100 or 0.001%

Prevents: Most common audit finding (budgetary/proprietary imbalance)

📊 Complete Validation Coverage

204 total validations and edits organized into 27 Treasury-aligned rule categories:

  • Tie-Point Validation (12 rule categories, 89 validations): GTAS-to-Oracle balance matching
  • USSGL Compliance (8 rule categories, 67 validations): Account classification and posting logic
  • Treasury Alignment (5 rule categories, 38 validations): FBWT, SOT, IPAC/ICS reconciliation
  • Audit Readiness (2 rule categories, 10 validations): Evidence completeness and documentation

SME Validation Process:

  • ✅ Reviewed by 30-year Federal Finance CPA
  • ✅ Validated against Treasury Financial Manual (TFM)
  • ✅ Cross-referenced with USSGL Technical Bulletins
  • ✅ Tested against 15 years of month-end close scenarios

Rules designed by practitioners who've done month-end close, not vendors who've read about it.

⚠️ Transparency: Rules validated by SME experts with deep GTAS experience, but not yet Treasury QSMO-certified or customer-proven. Seeking first federal pilot to validate in production environment.

The $45B Problem:
AI Can't Touch Regulated Work

Why Enterprise AI Stalls

  • Black box decisions — Regulators reject unexplainable AI
  • All-or-nothing adoption — Too risky for agencies handling taxpayer/patient data
  • Compliance retrofit — Bolting on audit trails after build is painful & expensive
  • Vendor lock-in — Hardcoding to one LLM creates cost/flexibility risk

Federal, healthcare, insurance, finance — massive markets that can't adopt AI at speed.

$45B
Total Addressable Market
$8.5B
Serviceable (TAM)
$420M
5-Yr Obtainable (SOM)
5%
Realistic Capture Rate

Market Segments

Federal Government40%
Healthcare Providers25%
Insurance & Legal20%
State/Local Gov10%
Research/Grants5%

Defensible Moats

What makes this sustainably differentiated:

1. Three-Mode Architecture

No competitor offers staged AI adoption with automatic fallback. Customers de-risk AI in regulated environments.

Patent-pending technology

2. RulePack Technology

Versioned, portable compliance logic. Network effects as Packs compound across customers. Marketplace (roadmap 2026) creates lock-in through trust.

Proprietary IP

3. Evidence Ledger

Immutable, hash-chained audit trails. Built-in from day 1 (not retrofitted). Creates switching costs — evidence history is valuable.

Data moat

4. Multi-Industry Platform

Same engine powers Fed, Healthcare, Insurance, Corporate, Gov. Massive economies of scale. Cross-industry learnings compound.

5. Sinergy Method IP

8-phase governance framework (consultant IP packaged as software). Automated evidence collection. NIST AI RMF alignment built-in.

Revenue Model & Unit Economics

Revenue Streams

1. Platform Subscription (70% of revenue)

Per-tenant SaaS. Multi-year contracts. $50K-$500K annual contracts depending on scale.

2. Suite Implementations (20%)

Professional services for Fed/Corp/Med/Gov/Claim suite deployments. Fixed-fee pilots convert to subscriptions.

3. Marketplace (5%, future)

RulePack/WorkflowPack revenue-share. Community contributions + certified Packs.

4. Managed Compliance (5%)

White-glove ATO acceleration, 3PAO support, continuous monitoring.

Key Metrics (Target)

≥95%
Gross Retention
≥120%
Net Retention
<9mo
Payback Period
40%
ATO Time Reduction

Why Retention is High

  • Evidence ledger creates switching costs (history is valuable)
  • RulePacks compound (more Packs = more utility)
  • Multi-suite expansion (land with FedSuite, expand to others)
  • Compliance-critical (not nice-to-have)

Current State & 18-Month Roadmap

Today (Pilot-Ready)

  • 21 microservices operational
  • 1,348+ tests passing (85% coverage)
  • FedReconcile pilot-ready (GTAS reconciliation)
  • CorpSuite beta (PropVerify, Greenlight)
  • Platform UI + Designer deployed
  • Founder-led sales (federal focus)

Next 2 Quarters

  • Marketplace MVP (RulePack repository)
  • Python & TypeScript SDKs GA
  • MedSuite beta (claims automation)
  • First paid pilot contracts

🏪 Marketplace = Network Effects (Coming 2026)

Federal compliance marketplace with 5 certification tiers (Community → Treasury-Verified). Revenue share: 70% Creator / 20% Platform / 10% Insurance. Agencies publish validated packs, smaller agencies benefit.

12-18 Months

  • MedSuite & GovSuite GA
  • Partner enablement (Deloitte, Booz Allen, SAIC)
  • FedRAMP Moderate authorization
  • 100+ community RulePacks in marketplace
  • Treasury-verified certification tier launched
  • $2M ARR milestone

Capital Needs

Seeking: $3M Seed Round

Use of funds:

  • Sales team (2 AEs + 1 SE) — $800K
  • Engineering (3 full-stack devs) — $900K
  • FedRAMP authorization — $600K
  • Marketing & demand gen — $400K
  • Runway & operations — $300K

Target: 24-month runway to $5M ARR

Why This Wins (and Why Now)

Dimension Generic AI Platforms CORTX Platform
Adoption Model All-or-nothing Staged (3 modes)
Compliance Retrofit Built-in (day 1)
Explainability Black box 4-level RAG + citations
Business Logic Hardcoded RulePacks (portable)
LLM Strategy Single vendor lock-in AI Broker (swap providers)
Market Focus Single vertical 5 industries, 1 platform
Time to Deploy 12-24 months Weeks

The Timing is Perfect

Regulatory Tailwinds:

  • OMB M-24-10 (federal AI governance mandate)
  • NIST AI RMF adoption accelerating
  • FedRAMP expanding to AI systems
  • HIPAA enforcement increasing for AI in healthcare

Market Catalysts:

  • Federal AI adoption budgets growing 40%+ YoY
  • Healthcare labor shortage driving automation
  • Legacy ERP vendors (Oracle, SAP) can't move fast enough
  • Generative AI hype creating demand for "safe AI"

Your Job: Say "Yes" Without Getting Fired

AI is coming. Leadership wants it. But if it fails an audit, it's on you.

The Nightmare Scenario

Your team deploys an AI system. It works great for 6 months. Then the 3PAO shows up and asks:

  • "Show me the decision log for case #47291"
  • "How did the AI reach this conclusion?"
  • "What happens if the AI is wrong?"
  • "Where's the evidence this was tested?"
  • "Who approved this AI model?"

You have spreadsheets. Maybe some emails. No immutable trail. No control mapping. No test records.

What You Actually Need

  • Immutable evidence — Every decision logged, hash-chained, tamper-proof
  • Control mapping — AI RMF → 800-53 families, automated
  • Explainable AI — Full reasoning chain, not black box
  • Fallback guarantees — AI fails? System keeps working (rules take over)
  • Exportable reports — PDF/JSON/OSCAL for assessors
  • Continuous collection — Evidence generated in real-time, not scrambled together later

CORTX gives you all of this. Out of the box. Day 1.

How CORTX Maps to Your Frameworks

Click a framework to see how CORTX addresses it:

AI RMF Function What CORTX Does Evidence Generated
GOVERN Sinergy Method (8-phase lifecycle), stakeholder gates (G1-G8) Project docs, risk registers, approvals
MAP Data classification, bias assessments, context documentation Privacy impact assessments, fairness reports
MEASURE Three-mode testing, accuracy tracking, compare mode deltas Test results, performance metrics, model cards
MANAGE RBAC, versioned RulePacks, change logs, incident runbooks Access logs, CM records, IR playbooks

What Your Auditor Sees

Real exports from CORTX Evidence Ledger:

Immutable Ledger Entry

// Every decision creates a ledger entry
{
"timestamp": "2025-10-24T14:32:01Z",
"action": "validation_complete",
"workflow": "gtas_reconciliation",
"mode": "conservative",
"actor": "sarah.chen@agency.gov",
"result": "approved",
"confidence": 0.987,
"rules_triggered": ["R-1042", "R-2381"],
"hash": "a3f7c912b8e4d5f6...",
"prev_hash": "2e8b1d4f7a9c3e5b..."
}

Why it matters: Hash-chained like a blockchain. Any tampering breaks the chain. Auditors can verify cryptographically.

Control Evidence Exports

PDF Evidence Bundle

Control-by-control documentation. Screenshots, logs, configs. Ready for 3PAO review.

OSCAL Machine-Readable

Open Security Controls Assessment Language format. Import directly to GRC tools.

CSV/JSON Data Exports

Raw data for analysis. Pivot tables, custom reports, executive dashboards.

SSP/SAR Templates

Pre-filled System Security Plan and Security Assessment Report sections. Save weeks of writing.

Your ATO Package Starts Day 1

Most systems scramble to document controls after they're built. CORTX generates evidence continuously as you work. When you're ready for ATO, the package is already 80% done.

Shared Responsibility Model

Who owns what controls in a CORTX deployment:

Cloud Provider

(AWS, Azure, GCP)

  • Physical security (PE)
  • Infrastructure controls
  • Network perimeter
  • Base FedRAMP authorization

CORTX Platform

(Sinergy Solutions)

  • RBAC & tenant isolation (AC)
  • Audit logging (AU)
  • Evidence ledger
  • SDLC & secure coding (SA)
  • Encryption implementation (SC)
  • Incident runbooks (IR)

Your Agency

(Customer)

  • Data classification (RA)
  • Usage policies (PL)
  • User provisioning (IA)
  • Acceptable use (AC)
  • Business continuity (CP)

Hybrid Controls

Many controls are hybrid (shared responsibility). Example: CM-2 (Baseline Configuration) — Cloud provides infrastructure baseline, CORTX provides application baseline, you provide data/usage baseline. All three align for full compliance.

Sleep Well at Night

What CORTX guarantees you:

If AI Fails

Automatic fallback to rules. System keeps running. No outages. No data loss.

Resilience built-in

If Auditor Asks

Every decision is logged (immutable). Full reasoning chain. Exportable evidence. No "trust me" handwaving.

Audit-ready day 1

If Something Changes

Versioned RulePacks. Change logs. Approval workflows. CM-3 compliant out of the box.

Change control automated

Your job is to protect the agency. CORTX protects you.

Build AI Systems You Can Actually Ship

Stop writing boilerplate compliance code. Focus on your domain logic.

What You Usually Build:

  • LLM integration (OpenAI, Anthropic, etc.)
  • Prompt management & versioning
  • RAG pipeline (embeddings, vector search)
  • Audit logging (who did what when)
  • RBAC & tenant isolation
  • Evidence exports for compliance
  • Error handling & retries
  • Monitoring & alerting

Weeks of undifferentiated heavy lifting before you write a single line of domain logic.

What CORTX Gives You:

  • AI Broker (swap LLMs without code changes)
  • PromptPacks (versioned templates)
  • 4-level hierarchical RAG (built-in)
  • Immutable ledger (automatic logging)
  • RBAC + RLS (tenant-aware by default)
  • Evidence exports (PDF/JSON/OSCAL)
  • Resilience patterns (fallback, retry, circuit breaker)
  • Observability (metrics, traces, logs)

All of this. Out of the box. Pilot-ready today.

How the Three-Mode System Actually Works

Click a mode to see the code:

# Conservative Mode: Rules Primary, AI Explains
def validate_conservative(data, rulepack):
"""Rules execute. AI provides explanation only."""
# Execute deterministic rules
result = rules_engine.execute(data, rulepack)
# AI generates explanation (no decision power)
explanation = ai_broker.explain(
result=result,
context=data,
rules_triggered=result.rules
)
# Log to immutable ledger
ledger.append(
mode="conservative",
result=result,
explanation=explanation
)
return result, explanation

When to use: First deployment, high-stakes decisions, ATO day 1. AI explains but doesn't decide.

SDKs & Extension Points

Python & TypeScript SDKs. RESTful APIs. Everything you need.

Python SDK Example

# Install: pip install cortx-sdk
from cortx_sdk import (
RAGClient,
WorkflowClient,
RulePack
)
# Query hierarchical RAG
rag = RAGClient(suite="fedsuite")
results = rag.query(
"GTAS mapping for SF-133",
level="module" # platform/suite/module/entity
)
# Execute workflow with custom RulePack
workflow = WorkflowClient()
pack = RulePack.load("gtas-validation-v2.1.0")
run = workflow.execute(
data=my_data,
rulepack=pack,
mode="compare" # conservative/compare/agentic
)
# Export evidence for auditor
evidence = run.export_evidence(
format="pdf",
controls=["AC-2", "AU-2", "CM-3"]
)

Create Your Own RulePack

# rulepack.yaml
name: custom-validation
version: 1.0.0
description: My custom business rules
rules:
- id: R-1001
name: Check Budget Threshold
condition: |
data.amount < 10000 and
data.category == "operations"
action: approve
evidence:
- log: "Budget check passed"
- control: CM-3
- id: R-1002
name: Require Dual Approval
condition: |
data.amount >= 10000
action: request_approval
approvers: 2

Deploy: cortx deploy rulepack.yaml --suite=corpsuite

Tech Stack & Architecture

Backend (21 Services)

  • Python 3.11+ (FastAPI)
  • PostgreSQL 15 (pgvector)
  • Redis 7 (cache + events)
  • Docker + Kubernetes

Tests: pytest, 1,348+ tests, 85%+ coverage

Frontend (5 Apps)

  • Next.js 14 (React)
  • TypeScript
  • Tailwind CSS
  • Zustand, React Query

Components: @sinergysolutions/cortx-ui (shared library)

AI & Embeddings

  • AI Broker (provider-agnostic)
  • Support for OpenAI, Vertex AI, Azure OpenAI, Claude
  • pgvector (configurable dimensions)
  • 4-level hierarchical RAG

Broker Architecture: Swap LLM providers without code changes. Use your preferred model or bring your own.

Performance SLOs

< 1s
p95 API Latency
99.9%
Uptime SLA
Horizontal
Auto-Scaling
Idempotent
Job Queue

Build With Us

CORTX is open for extensions. Here's how to contribute:

Coming Soon: Marketplace

  • Publish RulePacks — Share your domain logic with the community
  • Earn revenue — Rev-share on paid Packs
  • Get certified — Sinergy-certified Packs get priority visibility
  • Contribute to platform — SDK improvements, bug fixes, new integrations

Early Access Program

Join our beta program:

  • Early access to SDKs
  • Priority support on Slack
  • Influence roadmap
  • Marketplace early launch

Resources for Developers

📚 Documentation

API reference, SDK guides, architecture deep-dives

💻 GitHub

Example RulePacks, WorkflowPacks, integration templates

💬 Community Slack

Ask questions, share patterns, troubleshoot

🎓 Video Tutorials

Walkthrough series: RulePack authoring, SDK basics, advanced patterns

📚 Sources & Evidence

All claims in this presentation are sourced and verifiable.

Capability Claims

  1. "3 days → <1 hour" GTAS reconciliation (SME Estimate)
    Designed performance target based on 30-year Federal Finance SME estimates for typical GTAS reconciliation process with automated validation. Not yet customer-proven. SME is CPA with Oracle Financials implementation expertise in federal agencies.
  2. "204 GTAS validations across 27 rule categories"
    Validations reviewed against Treasury GTAS schema by Federal Finance SME (CPA, 30+ years Oracle implementations, extensive month-end close experience). Source: docs/specifications/rulepacks/federal-fedreconcile-tiepoint-preventive-spec.md
  3. "85% faster workflow development"
    CORTX Designer internal benchmarks vs. manual BPMN coding for equivalent federal compliance workflows. Based on 10+ sample workflows comparing drag-and-drop vs. code-first development.
  4. "1,348+ tests, 85%+ coverage"
    Platform test suite verified October 2024. Includes unit, integration, and end-to-end tests across 21 microservices. Coverage measured via pytest-cov.
  5. "28 federal-compliant node types"
    CORTX Designer node palette. Source: cortx-designer/frontend/src/app/designer/components/NodePalette.tsx
  6. "<500ms validation"
    GTAS RulePack performance benchmarks for 27 validation rules processing typical agency submission data. Source: Internal performance testing, October 2024.
  7. "21 production microservices"
    CORTX Platform architecture. Includes: Compliance Engine, Evidence Ledger, RAG Services, AI Broker, Workflow Orchestration, Auth, and 15 supporting services. Source: cortx-platform/ repository.
  8. "Zero critical vulnerabilities"
    SonarQube A-rating, Dependabot monitoring, and OWASP ZAP scanning as of October 2024. Regular security audits via automated tooling.

Architecture & Compliance

  1. "FedRAMP Moderate authorization (roadmap 2026)"
    CORTX architecture designed to FedRAMP Moderate baseline controls (NIST SP 800-53 Rev 5). Not currently authorized. Authorization process planned after successful federal pilot. Pilot deployable within existing agency ATO boundary (no separate authorization required). Architecture includes Evidence Ledger (immutable audit trail), encryption at-rest/in-transit, PIV/CAC support, and boundary protection. Estimated timeline: 12-18 months + $600K investment.
  2. "SHA-256 hash-chain Evidence Ledger"
    Immutable audit trail using SHA-256 cryptographic hashing. Each event linked to previous via hash chain, preventing tampering. Source: cortx-platform/services/ledger/
  3. "Sinergy Method: 8-phase AI lifecycle"
    Phases 1-2.1 operational (Design, Development). Services 8150 and 8160 deployed with 100% test coverage. Source: cortx-sinergy-method/ repository.

Expert Validation

Federal Finance Subject Matter Expert:
30+ years experience implementing Oracle Financials in federal agencies. Certified Public Accountant (CPA). Well-known in Oracle federal community. Extensive month-end close experience across multiple agencies. Reviewed all 204 GTAS validations (27 rule categories) for Treasury alignment and compliance logic accuracy.

Validation confirmed rules are Treasury-aligned and designed to prevent common reconciliation errors. Performance estimates based on SME's experience with typical GTAS reconciliation workflows.

Market & Business Claims

  1. "$45B regulated AI market"
    Estimate based on federal IT spending ($90B/year, OMB), healthcare IT compliance market ($12B), and financial services regulatory tech ($18B). Assumes 10-15% addressable for AI governance/compliance layer.
  2. "60-80% labor savings"
    Projected reduction in manual work for GTAS reconciliation and compliance workflows. Based on Federal Finance SME estimates and automation benchmarks for similar processes.
📧 Verification Requests
Want to validate any of these claims? Request source code access, architecture diagrams, or schedule a call with our Federal Finance SME. Contact: [Contact email/link]

Last updated: October 2025 | Pre-commercial status: Platform built and tested, seeking first pilot agency

The Trust Layer for AI

CORTX Platform lets you use AI in regulated work without the risk. Start safe. Test in parallel. Evolve when ready. Full audit trails from day 1.

Sinergy Solutions
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