One voice layer, multiple surfaces. Deploy phone, WhatsApp, and embedded voice agents from a single orchestration layer - with consistent behavior across every channel.
Run real-time sync execution for low-latency calls, or async pipelines for workflow-heavy interactions - configured per agent, per route, per call type.
Retrieve knowledge, call tools, validate external systems, and shape the next response while the conversation is still live.
Barge-in, interruption handling, silence thresholds, and tool announcements are behaviors you define - not defaults you inherit.
Trace voice interactions at turn level with visibility into reasoning, tool timing, interruption events, and latency across the full pipeline.
"validation_request": {
"service": "payment_api",
"method": "verify_account",
"timeout": 5000
}{
"error": "Request timeout",
"status": "failed",
"code": "TIMEOUT_ERROR",
"message": "External API did not respond within 5000ms",
"timestamp": "2026-03-30T10:23:50Z",
"latency": 5200
}Record, transcribe, analyze, summarize, and feed structured call intelligence back into your workflows and systems.
Maintain compliance-grade records of voice interactions, execution behavior, and post-call activity with the visibility enterprise deployments require.
Voice is not treated as a separate product. It runs inside the same orchestration, data, tracing, and governance layer as the rest of the system.
Voice calls, validations, tool actions, knowledge retrieval, and downstream workflows run in the same operational system rather than across disconnected products.
Tracing, evaluation, auditability, and post-call intelligence stay connected to the actual execution path of the conversation.
Teams do not need one system for calls, another for workflows, and another for debugging what happened across the interaction lifecycle.
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
We chose SimplAI for its agentic operating system and enterprise-grade reliability. Today, we run multiple agents across GTM, operations, and customer support — all on a platform that scales and deploys securely on private clouds. The support from the team has been exceptional.
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
A long list of good AI use cases is not an AI strategy. At ARU, we wanted a platform that could support meaningful operational improvements across the business, rather than adding a different point solution for every task.
That is one of the reasons we selected SimplAI. We are already working with their team to build agentic workflows around statement of values processing, loss runs, and underwriting audit. Their team brings genuine insurance domain expertise to the work, which means we can spend less time explaining the fundamentals of insurance workflows and more time solving the operational problems within them.
SimplAI has approached the relationship as a strategic partner, combining that industry knowledge with an impressive ability to build and iterate quickly. We are excited about what we are building together and the broader opportunity to thoughtfully apply agentic AI across different areas of our operations at ARU.
SimplAI is helping us address customer challenges at scale using AI, without the need to build an in-house AI engineering team. Even before going live in production, SimplAI has shown its value through its robust capabilities and consistent support for our goals. Their responsive and dedicated approach has made them a reliable partner in advancing our AI initiatives.
Secure infrastructure alone is not enough. Enterprises need the full stack — governed AI agents running inside a deployment model that never compromises their security posture. Pairing Zeblok’s Ai-MicroCloud with SimplAI’s orchestration layer means enterprises no longer have to choose between capability and control. Furthermore, our ability to offload to Flash memory means significant reduction in GPUs when managing user context.
With SimplAI, Lawyered isn't just embracing AI, we're redefining the legal landscape. By seamlessly integrating cutting-edge technology with our mission to democratize legal access, we're not only streamlining processes but also ensuring data security and privacy. SimplAI isn't just a platform, it's a catalyst for innovation.
As a sovereign big data technology provider, Saal's DigiXT platform is trusted by enterprises and government entities to manage, govern, and get value from their data at scale. DigiXT has a wide ecosystem of technology partners, and SimplAI's agentic AI platform is now integrated into it, giving our customers another option for building Agentic solutions on their data.
The engagement has been collaborative and constructive throughout. The SimplAI team has been responsive, capable, and open to feedback, which made the integration smooth. We look forward to continuing this partnership.
Everything you need to know about SimplAI Voice AI.
SimplAI is the Operating System for Agentic AI, enabling enterprises to build, orchestrate, govern, and scale AI agents anywhere.
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