The AI Platform Built for Production
From agent orchestration to deployment, everything you need to build, deploy, and scale enterprise AI applications with confidence.
Complete AI Lifecycle Platform
End-to-end capabilities that take you from data to deployed AI agents in production
Agent Orchestration
Build and orchestrate multi-agent systems that handle complex business workflows autonomously with intelligent coordination.
MLOps & LLM Ops
Production-grade infrastructure for training, deploying, and managing both traditional ML and large language models at scale.
100+ Accelerators
Pre-built templates and components for common AI use cases that dramatically reduce development time and risk.
Governance & Trust
Built-in frameworks for responsible AI, bias detection, explainability, and regulatory compliance across industries.
Data Platform
Automated data quality, preparation pipelines, feature engineering, and comprehensive data governance.
Multi-Cloud
Deploy on AWS, Azure, or GCP. No vendor lock-in. Full portability and flexibility for your infrastructure.
Multi-Agent Orchestration
Create sophisticated AI agents that can reason, plan, and execute complex tasks. Orchestrate multiple agents to work together on end-to-end business processes.
Key Capabilities
- Visual agent builder with drag-and-drop workflows
- Multi-agent coordination and communication
- Task decomposition and intelligent routing
- Integration with enterprise systems (Salesforce, ServiceNow, SAP)
- Testing and simulation environments
- Production monitoring and rollback capabilities
Use Cases
- Customer service automation with multi-turn conversations
- End-to-end document processing workflows
- Intelligent process automation across departments
- Research and analysis agents for decision support
LLM Operations Platform
Optimize costs, improve performance, and maintain control across multiple large language model providers with enterprise-grade management.
Capabilities
- Support for OpenAI, Anthropic, Azure, Google, and open-source models
- Intelligent routing to optimize cost and performance
- Centralized prompt library with version control
- RAG (Retrieval Augmented Generation) framework
- Cost tracking and optimization capabilities
- Safety guardrails and content filtering
Benefits
- Reduce LLM costs through intelligent routing and optimization
- Avoid vendor lock-in with multi-provider support
- Accelerate development with prompt templates and best practices
- Ensure safety and compliance with built-in guardrails
100+ Pre-Built Accelerators
Production-ready templates that dramatically reduce development time and lower implementation risk
01
Document Intelligence
OCR, classification, data extraction, contract analysis, invoice processing, form automation, and document search.
02
Intelligent Chatbots
RAG-based Q&A, multi-turn conversations, CRM integration, knowledge base search, and customer support automation.
03
Predictive Analytics
Time-series forecasting, anomaly detection, demand prediction, churn prediction, risk scoring, and trend analysis.
04
Fraud Detection
Transaction monitoring, pattern recognition, AML compliance, risk assessment, and real-time alerts.
05
Process Automation
Workflow optimization, intelligent routing, exception handling, RPA + AI integration, and process mining.
06
Customer Analytics
Segmentation, personalization, recommendation engines, journey optimization, sentiment analysis, and CLV prediction.
07
Predictive Maintenance
Equipment monitoring, failure prediction, maintenance scheduling, resource optimization, and IoT integration.
08
Code Modernization
Legacy code analysis, technical debt assessment, refactoring recommendations, migration planning, and documentation generation.
09
Data Quality
Automated quality assessment, cleansing, validation, anomaly detection, data profiling, and governance.
10
Supply Chain Optimization
Demand forecasting, inventory optimization, logistics planning, supplier risk assessment, and route optimization.
11
Clinical Intelligence
Claims processing, clinical documentation, diagnosis assistance, patient risk stratification, and drug interaction detection.
12
Risk Assessment
Credit scoring, underwriting automation, portfolio risk analysis, compliance monitoring, and regulatory reporting.
13
Computer Vision
Object detection, image classification, quality inspection, facial recognition, OCR, and visual search.
14
Speech & NLP
Speech-to-text, text-to-speech, sentiment analysis, entity extraction, summarization, and translation.
15
Marketing Intelligence
Campaign optimization, lead scoring, content personalization, A/B testing, attribution modeling, and customer lifetime value.
Each accelerator includes:
Production Code
Sample Data
Deployment Scripts
Documentation
Enterprise MLOps
Production-grade infrastructure for complete model lifecycle management
Development
- Experiment tracking and versioning
- Automated hyperparameter tuning
- Feature store and engineering pipelines
- Model registry and lineage tracking
- Collaborative development environment
Deployment
- Containerization and orchestration
- Blue-green and canary deployments
- Auto-scaling and load balancing
- Multi-region deployment capabilities
- A/B testing and gradual rollouts
Monitoring
- Real-time model performance tracking
- Data drift detection and alerting
- Automated anomaly detection
- Cost tracking and optimization
- Custom dashboards and reporting
Retraining
- Scheduled and trigger-based retraining
- Automated validation and testing
- Champion/challenger comparison
- One-click rollback capabilities
- Continuous improvement pipelines
Governance & Responsible AI
Built-in frameworks for ethical AI that meet regulatory requirements and build stakeholder trust across your organization.
Core Capabilities
- Bias detection and fairness monitoring across models
- Model explainability (SHAP, LIME, custom interpretability)
- Comprehensive audit trails and lineage tracking
- Regulatory compliance mapping (GDPR, CCPA, EU AI Act)
- Risk assessment and management frameworks
- Approval workflows and governance policies
- Privacy-preserving AI and federated learning
Compliance Ready
- Financial Services: FCRA, ECOA, SOX compliance
- Healthcare: HIPAA compliance and patient privacy
- Insurance: Risk model validation and actuarial standards
- EU: AI Act high-risk system requirements
Core Capabilities
Platform Architecture
Layered, modular architecture designed for flexibility, scale, and enterprise integration
Infrastructure Layer
Multi-cloud support (AWS, Azure, GCP), containerization with Kubernetes, enterprise networking, security, and system integration.
Data & Governance
Data quality pipelines, feature store, governance framework, compliance controls, and privacy management.
MLOps Layer
Model registry, training pipelines, deployment automation, performance monitoring, and automated retraining.
LLM Ops Layer
Transform static docs into searchable, conversational knowledge hubs.
Agent Orchestration
Visual agent builder, multi-agent coordination, workflow orchestration, testing environments, and production monitoring.
Accelerators Layer
100+ pre-built use cases, industry- specific solutions, customization framework, and integration templates.
Built on Best-in-Class Technology
Multi-cloud and multi-provider support for maximum flexibility
See ATC Forge in Action
Request a personalized demo and discover how ATC Forge can accelerate your AI initiatives
