SimplAI

What SimplAI does

SimplAI is a full-stack Agentic AI Operating System built for enterprises to move beyond isolated LLM experiments and deploy AI that runs production workflows. The platform enables organizations to build, orchestrate, govern, and scale AI agents across various environments securely and rapidly. It acts as a unified control and execution layer for agentic systems, integrating multi-agent orchestration, policy-driven governance, enterprise-grade security, and deep observability. SimplAI addresses challenges like fragmented tooling, limited governance, vendor lock-in, and long deployment cycles in enterprise AI initiatives.

Products

• SimplAI PlatformA comprehensive platform designed to streamline the development of Generative AI applications, offering robust tools, seamless integrations, and end-to-end solutions for building reliable, enterprise-ready AI systems efficiently and scalably.
• AI Agent BuilderA tool within the SimplAI platform to create modular, reusable agents with defined roles, memory, and evaluation parameters.
• SimplAI Agent builderA tool for building AI agents.
• SimplAI Workflow builderA tool for building AI workflows.
• Agentic MemorySupports short-term working memory and long-term persistent memory across sessions and workflows for AI agents.
• Voice AITransforms how agents communicate with voice-first capabilities, processing natural speech into intelligent actions with multi-language support.
• Observability (Tracing & Eval)Provides step-level tracing, evaluations, and reasoning visibility across every execution of AI agents.
• Fraud Detection AgentAn AI agent that analyzes invoices, vendor data, and claim patterns in real-time to detect and flag fraudulent activity in insurance claims, reducing claims leakage.
• Accelerate Loan Approvals AgentAn AI agent designed to accelerate loan approval processes.
• Credit Analyst AI AgentAn AI agent for credit analysis.
• Agentic Financial Spreading WorkflowAn agentic workflow for financial spreading.
• Agentic Accounts Payable WorkflowAn agentic workflow for accounts payable.
• Agentic Loan Processing WorkflowAn agentic workflow for loan processing.
• Mortgage Origination Agentic WorkflowAn agentic workflow for mortgage origination.
• Mortgage Servicing Agentic WorkflowAn agentic workflow for mortgage servicing.
• Mortgage Underwriting Agentic WorkflowAn agentic workflow for mortgage underwriting.
• Debt Collection AgentAn AI agent for debt collection.
• FNOL Intake AgentAn AI agent providing 24/7 omnichannel First Notice of Loss (FNOL) intake for insurance claims, capturing details via chat, voice, or webform to instantly triage and trigger downstream workflows.
• Inland Marine Underwriting AgentAn AI agent that automates contractor license, project, and equipment verification for Inland Marine insurance, enabling faster and more accurate underwriting.
• Denial Management AgentAn AI agent that automates the entire denial lifecycle in healthcare revenue cycle management, from tracking and routing to resolution workflows and appeals, to recover revenue faster.

Key capabilities

• AI Agent Builder
• Extensibility with enterprise stack
• Model & Intelligence Layer for LLM orchestration
• Dynamic Data Ingestion
• Seamless Integrations Hub
• MCP Gateway for secure API exposure
• A2A (Agent-to-Agent Communication)
• Voice Intelligence
• Agent Orchestration
• Planning & Routing
• Memory (Short & Long-Term)
• Versioning & Execution Observability
• Runtime Isolation
• Tool & Action Control
• Secrets Management
• Network Isolation
• Multi-cloud Support
• On-prem Deployments
• Horizontal & Vertical Scaling
• Infrastructure Ownership
• Audit Trails
• Data Handling Controls
• Retention Policies
• Enterprise Certifications support (SOC 2, ISO 27001)
• RBAC / ABAC
• Environment Isolation
• Budget & Policy Enforcement
• Comprehensive AI Development (model training, fine-tuning, deployment, monitoring)
• Accelerated Speed to Market with no-code/low-code tools
• Enhanced Productivity through intelligent agents
• Superior AI Performance through fine-tuning and integration
• Scalability and Flexibility for various environments
• Continuous Improvement with updates and analytics
• LLM Model Integration (open-source and proprietary)
• Knowledge Base Management (parse, chunk, embed data)
• Dataset Management (CSV, JSON, XML, Excel)
• Playground for testing AI processes

Use cases

• Operationalizing AI across enterprises
• Building, orchestrating, governing, and scaling AI agents
• Automating production workflows with AI
• Fraud detection in insurance claims (invoice analysis, vendor vetting, anomaly detection)
• Automating investigations and link analysis for fraud
• Accelerating loan approvals
• Credit analysis
• Financial spreading workflows
• Accounts payable workflows
• Loan processing workflows
• Mortgage origination workflows
• Mortgage servicing workflows
• Mortgage underwriting workflows
• Debt collection
• Automating First Notice of Loss (FNOL) intake in insurance (omnichannel capture, data validation, intelligent triage, routing)
• Streamlining Inland Marine underwriting (contractor license verification, project risk analysis, equipment schedule automation, compliance)
• Automating denial management in healthcare revenue cycle (tracking, routing, resolution workflows, appeals)
• Preventing future denials with analytics
• Automating tasks for knowledge workers
• Real-time insights and agentic process automation for smarter decisions
• Personalized customer experiences through agentic AI and LLM-powered journeys
• Streamlining operations with AI employees
• Optimizing customer interactions and core banking operations
• Empowering wealth management advisors and enhancing client experiences
• Developing Generative AI applications
• Rapid prototyping and deployment of AI solutions
• Managing model training, fine-tuning, deployment, and monitoring
• Prototyping AI workflows
• Automating tasks with low-code/no-code tools

AI approach

SimplAI provides an Enterprise Agentic AI Operating System that enables organizations to build, orchestrate, govern, and scale AI agents across various environments. The platform offers specialized AI components for trust, intelligence, and innovation, including an AI Agent Builder, extensibility for data sources and AI models, and multi-agent orchestration. It supports running and orchestrating AI agents across multiple LLMs with unified reasoning, routing, and evaluation. The platform also includes dynamic data ingestion, seamless integrations, an MCP Gateway for exposing internal APIs, Agent-to-Agent Communication, and Voice Intelligence. It emphasizes enterprise-grade security, scalability, and compliance features.

Tech named: RAG, Gen AI, Agentic Workflows, LLMOps, LLM Apps, AI Workflow Automation, Prompt Engineering, Chatbot, Knowledge Search, Agentic AI, Agentic Process Automation, AI Chains, AI Studio, Co-Pilot, Multi-agents, LLMs, OCR, NLP

Industries served

• Financial Services
• Healthcare
• Legal
• Consulting
• Research
• Insurance
• Mortgage Automation
• Life Sciences
• Telecom
• Media
• Entertainment
• Retail & Commercial Banking
• Wealth Management

What it says sets it apart

• Full-stack Agentic AI Operating System
• Moves beyond isolated LLM experiments to production workflows
• Unified control and execution layer for agentic systems
• Multi-agent orchestration, policy-driven governance, enterprise-grade security, and deep observability built-in
• Secure and scalable by design for enterprise workloads
• Flexible deployment options: on-prem, private cloud (VPC), hybrid, sovereign, air-gapped environments
• Rapid deployment (days, not months)
• Addresses fragmented tooling, limited governance, vendor lock-in, and long deployment cycles
• Supports SOC 2, ISO 27001, and regulated environments
• Volume-based pricing with transparency
• Ability to bring your own AI models
• Model fine-tuning (Text, Vision, Audio)
• Custom contracts, BAA, DPA for enterprise clients
• White-Glove Onboarding & Implementation
• Part of Microsoft for Startups Founders Hub & Razorpay Rize
• Comprehensive AI development platform (model training, fine-tuning, deployment, monitoring)
• Accelerated speed to market with no-code/low-code tools
• Seamlessly switch between open-source and proprietary LLMs
• Efficient knowledge base management with contextual insights and re-ranking
• Robust dataset management with security and compliance
• Interactive UI for testing and refining AI processes