Connect to any model. Deploy on any infrastructure. Integrate with your enterprise stack. Maintain complete data control.
Platform
Enterprise AI Platform for Agents, Teams, and Workflows
Architecture & Deployment
Flexible Deployment Across Any Infrastructure
Choose the deployment model that fits your security, compliance, and performance requirements.
SaaS
Production-ready in hours with automatic updates and elastic scaling
On-Premise
Complete control within your data center infrastructure
Hybrid
Develop in cloud, deploy on-premise, or mix based on data sensitivity
Air-Gapped
Fully isolated deployments for classified or highly regulated environments
Infrastructure Built for Scale
Kubernetes-native orchestration
Built-in redundancy and failover
Role-based access control (RBAC)
Horizontal and vertical auto-scaling
End-to-end encryption (transit + at-rest)
Complete audit trails
LLM Configurator
Multi-Model Intelligence
500+ models with zero vendor lock-in
Cloud Providers
OpenAI, Anthropic Claude, Google Gemini, Amazon Bedrock (and more)
Local & Open-Source Models
Deploy Llama, Mistral, Falcon, DeepSeek, Kimi and other open models on your own infrastructure for maximum control and cost optimization.
Intelligent Model Routing
Dynamic routing based on task requirements, cost optimization, data classification, compliance policies, and real-time performance. Switch models mid-workflow without code changes.
Hybrid Strategy
Combine cloud models for general tasks with local models for sensitive data - all within a single workflow
Sirma.AI Studio
Unified Development Environment for Enterprise AI
Build agents, agent teams, and workflows in one platform. Manage LLMs and MCP tools, test in the playground, and integrate seamlessly with your enterprise stack.
Agent Composer
Describe what you need in plain language - get configured agents with instructions, tools, and model recommendations automatically.
Built-In Capabilities
- RAG management and vector storage
- API, plugin, and MCP server connectivity
- Agent tracing and debugging
- Performance evaluation and testing
Build & Deploy AI Agents & Teams
From Single Agents to Autonomous Teams
Build specialized AI agents, then orchestrate them into collaborative teams that solve complex problems together.
Agents
Create domain-specific agents with targeted expertise
Agent Teams
Coordinate multiple agents on tasks requiring diverse skills and handoffs
Workflows
Orchestrate agents and agent teams as workflow nodes
AI Core
The Enterprise AI Core connects every function, process, and knowledge stream - creating a digital twin of your organization that continuously learns and evolves.
Evolution
Traditional AI automates tasks. Self-evolving AI automates progress. Agents self-improve & optimize.
Retrieval-Augmented Generation (RAG)
Connect AI agents to your enterprise knowledge for accurate, verifiable, context-aware responses.
Advanced Knowledge Integration
- Vector embeddings for semantic similarity search
- Knowledge graphs for relationship mapping
- Quality assurance and freshness tracking
Flexible Configuration
- Multiple vector stores and embedding models (local & open-source)
- Support for diverse file formats (PDF, DOCX, TXT, and more)
- Configurable chunking strategies
- Text-to-image relationship mapping
Intelligent Document Processing
OCR JSON Processor
Intelligent document processing with OCR for images and handwritten text, parallel file handling, and structured JSON extraction.
OCR Capabilities
- Extract text from images and scanned documents
- Process handwritten text from images and PDFs
- Support for JPG, PNG, PDF, DOCX, CSV, TXT formats
Structured Output
- Convert unstructured documents into structured JSON
- Optional text content processing
- Sample JSON for schema generation
- Custom JSON schema definition
Overview
Integration & Extensibility
Enterprise Integrations
- CRM platforms (Salesforce, HubSpot, Dynamics, and more)
- ERP systems (SAP, Oracle, NetSuite, and others)
- Document repositories (SharePoint, Google Drive, Box)
- Databases (PostgreSQL, MySQL, MongoDB, Oracle)
- Communication tools (Slack, Teams, Email)
API-First Architecture
- RESTful APIs for bidirectional data flow
- Standards-based connectors
- Flexible integration options
Enterprise Machine Learning Integration
- Connect proprietary ML models to AI agents
- Build and deploy custom models with AutoML
- End-to-end ML Ops for training and deployment
- Hybrid architectures combining predictive ML with LLMs
Built-in governance
Sirma.AI transforms policy administration into an enabler of responsible AI innovation
Enterprise-ready
Multi-tenant architecture with role-based access control and regulatory compliance built into the framework
No-code compliance
Visual policy builder with pre-configured frameworks (GDPR, HIPAA, PCI-DSS, ISO 27001) requires zero technical expertise
Smart Data Handling
On-premise models anonymize sensitive data before external processing, then locally deanonymize responses - preserving utility while ensuring privacy
Real-time enforcement
Sub-200ms policy evaluation with complete audit trails and cryptographic integrity verification
Comprehensive protection
Policy enforcement across AI agents, MCP tools, knowledge bases, and voice interactions in a unified framework
Performance at scale
Intelligent fast-path optimization ensures security without compromising user experience
Zero integration effort
Seamlessly protects existing agents and workflows without code modifications
Enterprise Support & Success
Dedicated Account Management
Single point of contact
24/7 Technical Support
Enterprise SLA with priority escalation
Professional Services
Implementation, training, and optimization
Industry Templates
Pre-configured agents and workflows
Migration Support
Guided transition from legacy systems
Training Programs
Technical and business user onboarding
Measurable Business ImpactMeasurable Business Impact
of routine tasks automated 
data-driven decision-making 
accuracy in automated processes 
productivity gains in knowledge work