The Operating System for Agentic AI
Infra, runtime, orchestration & apps-unified to operate enterprise AI agents securely
Core of the Agentic AI OS
Our platform delivers specialized AI components-engineered to provide the trust, intelligence, and innovation essential for powering the future of autonomous AI agents.
AI Agent Builder
Create modular, reusable agents with defined roles, memory, and evaluation parameters.
Extending the Agentic AI Ecosystem
SimplAI connects effortlessly with your enterprise stack - from data sources to AI models - extending the reach and intelligence of every agent you build.
Model & Intelligence Layer
Run and orchestrate AI agents across multiple LLMs with unified reasoning, routing, and evaluation.
Dynamic Data Ingestion
Ingest and continuously sync data from enterprise sources in real time.
Seamless Integrations Hub
Integrate agents with enterprise systems like CRMs, analytics, and communication tools.
MCP Gateway
Expose internal APIs and services as secure, schema-driven agent tools. Enforce permissions, policies, and contracts without backend rewrites.
A2A (Agent-to-Agent Communication)
Enable structured communication and collaboration between agents. Support delegation, coordination, and distributed execution across systems.
Voice Intelligence
Transform how your agents communicate with voice-first capabilities. Process natural speech into intelligent actions with multi-language support,
Secure & Scalable by Design
Built for enterprise workloads, SimplAI combines zero-compromise security with production-grade scalability-so you can deploy safely and scale without limits.
Agent Orchestration
Coordinate multi-agent, multi-step execution with native lifecycle control, supervision, and recovery in production.
Planning & Routing
Dynamically plan tasks and route execution across agents, tools, and systems based on context and runtime state.
Memory (Short & Long-Term)
Support short-term working memory and long-term persistent memory across sessions and workflows.
Versioning & Execution Observability
Track agent versions with step-level tracing, evaluations, and reasoning visibility across every execution.
Security
Runtime Isolation
Execute agents in isolated runtimes to prevent cross-agent and cross-tenant data leakage.
Tool & Action Control
Fine-grained control over which tools, APIs, and systems agents can access at runtime.
Secrets Management
Native secrets vault for secure storage and injection of credentials during execution.
Network Isolation
Support private VPCs, private endpoints, and enterprise network boundaries.
Scalability
Multi-cloud Support
Deploy and operate agents across multiple cloud providers without architectural changes.
On-prem Deployments
Run agent systems fully on-prem or in private cloud environments to meet enterprise requirements.
Horizontal & Vertical Scaling
Scale agent workloads horizontally for throughput and vertically for complex, long-running execution.
Infrastructure Ownership
Enterprises retain control and ownership of underlying infrastructure and execution environments.
Compliance
Audit Trails
Decision- and execution-level audit logs for regulatory and internal reviews.
Data Handling Controls
Workflow-level controls for data access, processing, and storage.
Retention Policies
Customer-defined data retention and deletion policies by agent or workflow.
Enterprise Certifications
Designed to support SOC 2, ISO 27001, and regulated environments.
Governance
RBAC / ABAC
Fine-grained role- and attribute-based access control across agents, tools, data, and environments.
Environment Isolation
Isolate agents and workflows across dev, stage, and prod with controlled promotion and access.
Audit Trails & Evaluation
Maintain execution- and decision-level audit trails with integrated evaluations for accountability.
Budget & Policy Enforcement
Enforce spend limits, usage policies, and execution guardrails at agent runtime.
Deployment & Support
Hands-on Go-Live
Expert-led deployment with fast production rollout (≤ 2 days).
Production Hardening
Validation, testing, and red-teaming before agents go live.
Custom Deployments
Support SaaS, private cloud, VPC, and enterprise deployment models.
Ongoing Enterprise Support
High-touch support with SLAs and continuous production optimization.
SimplAI's Enterprise Ready Agents by Industry
Each SimplAI Agent operates as a digital colleague - trained for precision, reliability, and context awareness. They handle the repetitive, high-risk, or time-consuming parts of your workflows so human teams can focus on what matters most.
Use Cases
- Fraud Detection & Intelligence: Detect fraud patterns in real time across transactions. Surfaces subtle anomalies humans miss for always-on protection.
- FNOL (First Notice of Loss): Automates claim initiation, policy lookup, and FNOL report creation. Speeds up claims intake with accurate, instant processing.
- Inland Marine Underwriting: Validates contractor licenses, project details, and asset values. Produces fast, audit-ready underwriting outputs.
- Denial Management: Flags denial reasons and recoverable claims to reduce leakage. Automates document checks and streamlines appeals.
- Statement of Values (SOV) Agent: Cleans, validates, and formats COPE data for underwriting. Eliminates manual prep delays with consistent, error-free submissions.
- Provider Fraud Risk Agent: Detects provider-level fraud patterns by scanning claims history. Uncovers hidden anomalies to safeguard payouts.
Move from AI experiments to production-grade agents.
Build, orchestrate, and govern secure AI agents across on-prem, private cloud, hybrid, and air-gapped environments - in days, not months.
Trusted by Industry Leaders
SimplAI has fundamentally changed how we approach AI adoption inside the organization. Instead of running isolated experiments with different models and tools, we now have a unified platform to build, orchestrate, and govern AI agents across multiple business workflows.
What stood out for us was the platform's ability to handle enterprise requirements - security, governance, and observability - while still allowing teams to rapidly prototype and deploy AI solutions. SimplAI helped us move from fragmented AI initiatives to a scalable AI operating model.