Celios.AI (Patent Pending)
A next-generation AI platform purpose-built for government and commercial missions—designed, trained, and tailored to your specific use cases and datasets with unmatched accuracy, security, and operational utility.
Why Celios.AI?
Accelerates Decision-Making
Delivers mission-specific, grounded AI using your curated data to eliminate hallucinations for trusted AI-driven insights.
Supports Sensitive Workflows
Enables secure, air-gapped deployment aligned with zero-trust architectures and classified system requirements.
Automates Document Analysis
Automates document review, intel analysis, and acquisition workflows to speed decision-making.
Enhances Human Judgement
Supports hyper-enabled operators with edge AI for real-time insights and cognitive offload.
Eliminates Data Silos
Connects disparate data sources across your enterprise to provide unified, comprehensive analysis and actionable intelligence.
Improves Expert Feedback
Evolves through real-time corrective feedback loops with human-in-the-loop reinforcement learning, ensuring the system adapts to your mission's changing needs.
Core Capabilities
Secure AI Solutions
Purpose-built for sensitive and classified data environments with air-gapped deployment options
Secure AI Solutions
Purpose-built for sensitive and classified data environments with air-gapped deployment options.
Tailored AI Agent Creation
Rapidly develop mission-specific AI agents from your unique use cases and operational requirements.
Localized Fine-Tuning & Adaptation
Customize models with your specific data, policies, and requirements without external dependencies.
Automated Testing & Quality Assurance
Built-in capabilities to automate software testing, validation workflows, and compliance verification.
Compliance Support
Native workflow automation aligned with regulatory requirements, security standards, and audit protocols.
Multi-Modal Intelligence
Deploys small and large language models with advanced reasoning capabilities tailored to your operational environment.
Training, Reinforcement,
and Repair
GPU-Accelerated Training
Initial training leverages GPU-accelerated infrastructure to ensure model integrity, while most inference tasks run efficiently on CPU, significantly reducing operational compute footprint.
Small Language Models (SLMs)
Trained on curated datasets derived from your policies, SOPs, historical data, and regulatory guidance, delivering highly specialized, context-aware outputs for your exact use case.
Optimized Storage Architecture
Efficient storage through domain-specific training data and streamlined data processing, minimizing infrastructure requirements.
Reasoning-Enabled AI
Advanced generative AI capable of emulating human-like decision-making by transparently showing its logical process during output generation.
Continuous Improvement
Performs corrective repairs in real time through human-in-the-loop reinforcement learning from human feedback (RLHF).
Cost Reduction
Lower costs and increase accuracy with a localized baseline SLM, eliminating expensive third-party API calls to large language models trained on indiscriminate web data.
Celios.AI Architecture
Hardware Agnostic
Deployable on standard x86_64 architecture with optional GPU optimization for enhanced performance.
Minimal System Requirements
Operates on 8-core CPUs, 32GB RAM, and 500GB SSD storage, making deployment practical even in resource-constrained environments.
GPU Acceleration (Optional)
Enhances large-scale inference and fine-tuning performance when available but not required for core operations.
Flexible Deployment Models
Secure enclaves, air-gapped systems, or tactical edge devices with reduced resource profiles.
Offline-Capable Operations
Can be deployed without internet connectivity, ideal for secure, classified, and remote environments.
Multi-Environment Ready
Deployable on-premises, customer-controlled facilities, or across commercial and government cloud environments.
Security & Data Privacy
Data Encryption
All data in transit and at rest is encrypted using industry-standard protocols (e.g., AES-256, TLS 1.3).
Access Control
Role-based access controls (RBAC) and multifactor authentication (MFA) ensure only authorized users access sensitive AI systems and data.
Data Minimization
Trained with the minimum necessary data to reduce exposure and optimize performance.
Model Confidentiality
Trained AI models and associated parameters are protected against reverse engineering and unauthorized access.
Audit Logging
Maintains comprehensive logging and audit trails for all data access, model usage, and administrative actions.
Anonymization & De-identification
Removes or obfuscates personally identifiable information (PII) prior to training and inference operations.
Regulatory Compliance
Adheres to GDPR, HIPAA, CCPA, FISMA, and NIST standards to meet the most stringent compliance requirements.
Injection Attack Prevention
Prevents malicious code or command injection attacks designed to manipulate system behavior or compromise integrity.
CMMC Readiness
Self-appraised at CMMC Level 2 with ISO 27001:2022 accreditation ensures robust cybersecurity practices aligned with DoD requirements for protecting CUI.
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