Artificial Intelligence Core
The world's most capable AI models, deployed inside your infrastructure. Zero data leaves your walls. Complete cognitive superiority with absolute information sovereignty.
AIC is the foundation of enterprise AI at ACX — a platform that allows organizations to deploy the world's most capable language models, reasoning engines, and knowledge systems without ever exposing a single byte of data to external networks.
Unlike cloud-dependent AI services, AIC runs entirely within your physical infrastructure. Your data never transits public networks. Your prompts never touch external servers. Your intellectual property remains exclusively yours.
Deploy GPT-class, Llama, Mistral, and ACX proprietary models on-premise or in your private cloud. Fine-tune on your classified data. Models run entirely within your security perimeter.
Retrieval-Augmented Generation across petabytes of internal documents, emails, databases, and knowledge bases. Role-based access controls ensure analysts only see what their clearance permits.
Powered by ACX's proprietary CHIMERA ontological reasoning engine. AIC doesn't just retrieve — it thinks. Multi-hop inference, causal reasoning, and hypothesis generation from complex evidence chains.
Deploy AI agents that monitor, analyze, and act on information streams 24/7. Automated report generation, anomaly detection, document summarization, and cross-language translation — all without human prompt.
Process text, images, audio, video, and structured data within a single unified model. Analyze satellite imagery, transcribe intercepted communications, and correlate findings — all in one inference pass.
AI-assisted software development within classified environments. Code completion, review, refactoring, and vulnerability analysis — without leaking proprietary source code to external models.
AIC ingests your entire data estate — documents, databases, emails, code repositories, multimedia. Everything is vectorized and indexed on your hardware using 2048-dim embeddings with role-based access tagging at the chunk level.
Choose from ACX's proprietary model family or bring your own weights. AIC's training pipeline fine-tunes models on your domain data using LoRA, QLoRA, or full fine-tuning — all within your security perimeter.
Users interact via chat interface, API, or embedded agents. AIC retrieves relevant context from your knowledge base, feeds it to the model, and generates responses grounded in your data — with full citation chains.
Every interaction is logged, auditable, and bound by configurable guardrails. Content filtering, hallucination detection, classification marking enforcement, and RBAC ensure outputs meet your security policies.
┌─────────────────────────────────────────────────────────────┐ │ AIC PLATFORM │ ├──────────────┬──────────────┬──────────────┬────────────────┤ │ DATA │ MODEL │ REASONING │ INTERFACE │ │ LAYER │ LAYER │ LAYER │ LAYER │ ├──────────────┼──────────────┼──────────────┼────────────────┤ │ • Doc Ingest │ • ACX-14B │ • CHIMERA │ • Chat UI │ │ • Vector DB │ • ACX-70B │ • RAG Engine │ • REST API │ │ • Graph DB │ • Llama 3 │ • Agents │ • SDK (Py/JS) │ │ • SQL Bridge │ • Mistral │ • Workflows │ • Embeddable │ │ • Media Proc │ • Custom │ • Guardrails │ • Admin Panel │ │ • RBAC Tags │ • Fine-Tune │ • Citations │ • Audit Logs │ ├──────────────┴──────────────┴──────────────┴────────────────┤ │ RUNTIME: Kubernetes · Docker · Bare Metal · Air-Gapped │ │ COMPUTE: NVIDIA H100/A100 · AMD MI300X · Intel Gaudi │ │ STORAGE: NVMe · Ceph · NetApp · S3-compatible │ │ SECURITY: FIPS 140-3 · AES-256 at rest · mTLS in transit │ └─────────────────────────────────────────────────────────────┘
Automated translation, entity extraction, and real-time briefing generation from thousands of scattered field reports. Reduces analyst workload by 80% while improving coverage of intelligence gaps.
Contract analysis, regulatory compliance checking, and litigation research across millions of documents. AI-powered clause extraction with 99.8% accuracy for M&A due diligence.
Proprietary trading research, SEC filing analysis, risk modeling, and portfolio intelligence — completely air-gapped. No proprietary alpha leaks to model providers.
Clinical trial analysis, drug interaction research, and patient record synthesis while maintaining strict HIPAA compliance. All processing happens within your HITRUST-certified environment.
AI copilot for engineers: code generation, architecture review, test automation, and technical documentation — on proprietary codebases that can never leave your network.
| Inference | 847,000 tok/s (ACX-14B) · 210,000 tok/s (ACX-70B) · Sub-200ms first token · Streaming & batch |
| Models | ACX-Core-14B · ACX-Reason-70B · ACX-Code-34B · Llama 3 (8B/70B) · Mistral (7B/8x7B) · Custom ONNX/SafeTensors |
| Context | 128K tokens native context · 1M+ with RAG sliding window · Infinite context via hierarchical summarization |
| Knowledge | Vector DB (2048-dim) · Graph DB (Neo4j/Neptune) · SQL bridge · 500PB+ indexed capacity · 50ms retrieval |
| Languages | 127 languages · Real-time translation · Cross-lingual retrieval · Dialect recognition |
| Compute | NVIDIA H100/A100 · AMD MI300X · Intel Gaudi 2 · Scales from 1 GPU to 1,024+ GPU clusters |
| Security | FIPS 140-3 Level 3 · AES-256 at rest · mTLS in transit · HSM key management · Zero-trust architecture |
| Deployment | Kubernetes · Docker · Bare metal · Air-gapped · GovCloud · Single node to data center scale |
Cloud APIs send your data to external servers. Every prompt, every document, every piece of proprietary information transits infrastructure you don't control. AIC provides equivalent or superior model quality with zero data exposure.
Running raw Llama or Mistral gives you a model. AIC gives you a platform: enterprise RAG, RBAC, audit trails, guardrails, agent orchestration, fine-tuning pipelines, and 24/7 support from ACX engineers with clearances.
AIC is the only platform that combines ACX's proprietary CHIMERA reasoning engine, military-grade security certifications, true air-gap capability, and government-ready compliance — in a single turnkey deployment.
AIC embeds into your existing workflows. OpenAI-compatible API means zero code changes for teams already using AI.
Peer-reviewed publications from the ACX Research Division. 180+ scientists across ontological reasoning, adversarial ML, and cryptographic protocols.
Introduces the CHIMERA ontological reasoning engine. Demonstrates 94.2% accuracy on multi-hop causal inference tasks across heterogeneous data sources, outperforming GPT-4 by 12.7 points on classified evaluation benchmarks.
Formalizes the sovereign inference paradigm — a deployment architecture guaranteeing zero data exfiltration during LLM inference. Proves information-theoretic bounds on side-channel leakage in air-gapped GPU clusters.
Presents the ACX-Core-14B architecture — a 14-billion parameter model achieving GPT-4-class performance on reasoning benchmarks while running on a single NVIDIA A100. Novel attention sparsification and quantization techniques reduce memory footprint by 62%.
First comprehensive adversarial evaluation of enterprise RAG pipelines. Identifies 14 novel attack vectors including context poisoning, retrieval hijacking, and citation hallucination. Proposes SENTINEL guardrail framework achieving 99.7% attack mitigation.
Proposes a post-quantum key distribution protocol for multi-node AI inference clusters. Implements lattice-based cryptography (CRYSTALS-Kyber) for GPU-to-GPU communication in classified environments. Adopted by three Five Eyes member nations.
Reproducible performance benchmarks. Methodology, hardware specs, and raw results published for independent verification.
| Benchmark | ACX-14B | ACX-70B | GPT-4o | Llama 3 70B |
|---|---|---|---|---|
| MMLU (5-shot) | 82.4 | 89.1 | 88.7 | 82.0 |
| HumanEval (code) | 79.8 | 91.2 | 90.2 | 81.7 |
| GSM8K (math) | 88.1 | 96.4 | 95.3 | 93.0 |
| GPQA (expert reasoning) | 41.2 | 53.8 | 53.6 | 39.5 |
| CHIMERA-Bench (multi-hop) | 76.3 | 94.2 | 81.5 | 68.9 |
| Throughput (tok/s) | 847K | 210K | N/A (cloud) | 180K |
Select organizations operating AIC in production. Certain deployments cannot be disclosed per classification requirements.
AIC deployed across JWICS for intelligence analysis and briefing generation. 12,000+ daily active analysts. Operational since 2022.
Sovereign LLM deployment for SIGINT analysis. Cross-lingual entity extraction across 47 languages. Classification: TS//SCI.
Portfolio intelligence and risk modeling across $400B+ AUM. Air-gapped deployment ensuring zero alpha leakage. 340% ROI in first 18 months.
Clinical trial analysis and drug interaction research. HIPAA-compliant on-premise deployment. 2.4M patient records processed with zero PHI exposure.
Geological survey analysis, predictive maintenance, and supply chain optimization. 14 sites across 3 continents. $2.1B in operational savings attributed to AIC insights.
Engineering copilot for classified programs. Secure code generation and technical documentation across 8 programs. Zero source code exposure to external models.
Certificate #4821. All cryptographic modules independently validated by NIST CMVP. Covers AES-256, SHA-3, and post-quantum key exchange.
Authorized for processing up to SECRET//NOFORN. 421 security controls evaluated. Annual assessment by independent 3PAO.
Continuous compliance across all five trust service criteria. Zero exceptions in latest audit period (12 months). Audited by Deloitte.
Information security management (27001) and AI management system (42001) certified. First enterprise AI platform to achieve ISO 42001 globally.
Validated assessment for healthcare deployments. Full HIPAA compliance. PHI never transits external networks during AI inference.
AIC Vanguard security layer independently evaluated against MITRE ATT&CK framework. 98.4% detection rate across all 14 assessed techniques. Zero false positives.
Select principal investigators from the ACX Research Division. 412 PhDs on staff. Additional researchers withheld per classification requirements.
Ontological reasoning, adversarial robustness, quantum-resistant cryptography. 89 publications. h-index 52.
Lead architect of ACX-Core-14B and ACX-Reason-70B. Sparse attention mechanisms, quantization. 34 publications.
Red-team evaluation, robustness testing, SENTINEL guardrail framework. Former lead of the Vanguard adversarial research program. 28 publications.
Enterprise RAG, vector database architecture, knowledge graph reasoning. Designed AIC's petabyte-scale retrieval engine. 41 publications.
GPU kernel optimization, distributed inference, hardware-software co-design. Achieved 847K tok/s on ACX-14B. 22 publications.
Post-quantum cryptography, secure multi-party computation, HSM integration for AI workloads. 19 publications. 3 NIST standards contributions.
Complete REST & gRPC API documentation. OpenAI-compatible endpoints. Authentication, rate limits, streaming, batch inference.
Client libraries with type-safe interfaces. Async support, connection pooling, retry logic. Private PyPI/NPM registry access for licensed clients.
Step-by-step installation for Kubernetes, Docker, bare metal, and air-gapped environments. Hardware sizing calculator. Network architecture templates.
Detailed model cards for every ACX model. Training data provenance, known limitations, bias evaluations, and safety benchmarks per NIST AI RMF.
Threat model documentation, RBAC configuration, audit log schema, encryption specifications, and incident response procedures.
"The organizations that win the next decade will be those that master AI without surrendering their data sovereignty. AIC exists to make that possible — intelligence without compromise."
Available for enterprise, government, and defense organizations. From single-GPU pilots to data center scale.