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Cell Data Engine

The Platform Powering Your AI Infrastructure

Cell is a unified intelligence platform that processes multi-modal data, orchestrates AI models, and delivers enterprise applications—built for government, industry, and infrastructure.

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What Is the Cell Data Engine?

The operational backbone for enterprise AI deployments

The Cell Data Engine is a unified intelligence platform that serves as the central processing hub for your AI infrastructure. It ingests data from multiple sources—video, documents, sensors, databases—processes it through orchestrated AI models, and delivers industry-specific applications with complete provenance and auditability.

Unified Processing

Single platform handling video, documents, sensors, and database streams simultaneously

Model Orchestration

Integrate and manage multiple AI models—from open-source to closed-source—in one system

Real-Time Operations

Process and analyze data continuously with automated monitoring and failover

Enterprise Deployment

On-premises or cloud deployment with security, compliance, and audit capabilities

Platform Architecture

One engine. Multiple models. Unlimited applications.

Cell Data Engine Architecture

The Cell Data Engine sits at the center of your AI infrastructure, connecting foundation models, processing diverse data types, and powering industry-specific applications—all through a single, unified platform.

Core Capabilities

Multi-Modal Data Processing

  • Video analysis with scene detection and object recognition
  • Document extraction with entity mapping and classification
  • Sensor data aggregation with anomaly detection
  • Database integration with real-time ETL pipelines

Model Orchestration

  • Support for multiple foundation models (OpenAI, Anthropic, Google, Meta, Mistral)
  • Custom model integration and fine-tuning workflows
  • Automated model selection based on task requirements
  • Version control and model performance tracking

Provenance & Auditability

  • Complete source attribution for every output
  • Full audit trails with timestamp and version tracking
  • Data lineage visualization from source to insight
  • Compliance reporting for regulated industries

Enterprise Deployment

  • On-premises, cloud, or hybrid deployment options
  • High-availability architecture with automatic failover
  • Role-based access control and security policies
  • Integration with existing enterprise systems

How It Works

From raw data to operational intelligence

1

Data Ingestion

Connect your data sources—video streams, document repositories, sensor networks, and databases. The Cell Data Engine automatically processes incoming data in real-time, handling format conversions and initial quality checks.

2

Intelligent Processing

AI models analyze and extract insights from your data. The platform orchestrates multiple models simultaneously—using the right model for each task—while maintaining complete provenance of every operation.

3

Application Delivery

Processed insights are delivered through dashboards, APIs, alerts, and reports. Teams access real-time intelligence through web interfaces, mobile apps, or direct system integrations—all with full audit trails.

Proof of Concept

Real deployments across industries

Government

Traffic Management System

Real-time traffic monitoring and incident detection across 50+ locations using sensor data, and predictive modeling. 15-minute update cycles with zero downtime.

Sensor Integration Predictive Models

Technical Specifications

Deployment Options

  • On-premises (air-gapped or connected)
  • Private cloud (AWS, Azure, GCP)
  • Hybrid configurations
  • Container-based deployment (Docker, Kubernetes)

Supported Data Types

  • Video (streaming and batch)
  • Documents (PDF, Word, Excel, etc.)
  • Images (JPEG, PNG, TIFF, etc.)
  • Audio (WAV, MP3, transcription)
  • Structured data (SQL, NoSQL, time-series)
  • Sensor data (IoT, industrial)

Model Integration

  • OpenAI (GPT-4, GPT-4o)
  • Anthropic (Claude)
  • Google (Gemini)
  • Meta (Llama)
  • Mistral AI
  • Custom fine-tuned models
  • Open-source models

Performance & Scale

  • 99.9% uptime SLA
  • Real-time processing (15-minute update cycles)
  • Horizontal scaling for high-volume workloads
  • Automatic failover and recovery
  • Load balancing across processing nodes

Security & Compliance

  • End-to-end encryption
  • Role-based access control (RBAC)
  • SOC 2 Type II compliance
  • GDPR and data residency support
  • Complete audit logging

Integration & APIs

  • RESTful APIs
  • WebSocket support for real-time data
  • Webhook notifications
  • Database connectors (PostgreSQL, MySQL, MongoDB, etc.)
  • Enterprise system integration (SAP, Salesforce, etc.)

Ready to Build Your AI Infrastructure?

Deploy the Cell Data Engine in your environment—from proof of concept to enterprise production.

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