Build, ground, test, deploy, and improve AI agents without stitching together
a fragmented stack.
LLM, instructions, knowledge, tools, guardrails - set your agent's identity on the canvas.
Flip the toggles that matter - memory, citations, voice, reflection, file uploads, browser.
Run test datasets, inspect evaluation scores, preview every version before promoting it.
Publish to API, webhook, embed, or A2A. Watch run history in real time. Export data.
Continuous evaluation catches regressions. Version control owns every release. Sub-agents scale infinitely.
LLM, instructions, knowledge, tools, guardrails - set your agent's identity on the canvas.
Flip the toggles that matter - memory, citations, voice, reflection, file uploads, browser.
Run test datasets, inspect evaluation scores, preview every version before promoting it.
Publish to API, webhook, embed, or A2A. Watch run history in real time. Export data.
Continuous evaluation catches regressions. Version control owns every release. Sub-agents scale infinitely.
The Workflow Builder canvas is where complexity becomes clarity. Every node is a step, every line is a decision. You see the whole automation at a glance - and change it just as fast.
Stop building connectors from scratch. Pick from a library of pre-built nodes across 25+ categories - and wire them into your flow in seconds.
Execution rules, guardrails, retry logic, and error handling - baked into every single node. Not bolted on afterward.
Expose agents through APIs, webhooks, embedded widgets, MCP, and
future interfaces – without changing how they run.
REST API
Direct integration, full control
Webhooks
Push-based, no polling
SimplAI pushes results to your HTTPS endpoint the moment a run completes. No polling loops. No missed events.
Embed Widget
One script tag. Any website.
Share Preview Toggle
Generate a public URL - shareable in seconds
MCP & A2A
Protocol v0.3.0 · JSONRPC
Enable seamless communication between agents using MCP and A2A protocols. Receive, delegate, and orchestrate tasks across AI agents with standardized, discoverable interfaces.
Trace every interaction end to end including latency, cost, tool calls, and decision flow – so you can debug faster, optimize performance, and understand exactly how your agent behaved in production.
Two quality layers, working together. Test Datasets let you run structured evaluations before launch. Evaluate runs continuously after - catching regressions before your users do.
Label, preview, promote, and roll back any agent release with confidence – without losing visibility over what changed, when, and why.
Expanded competitor blocking rules. Added EMEA compliance filter.
Turned on user memory. Enabled tool and knowledge citations.
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 Workflow Builder.
SimplAI is the Operating System for Agentic AI, enabling enterprises to build, orchestrate, govern, and scale AI agents anywhere.
San Francisco
1502, 535 Mission Street, 14th Floor, San Francisco, CA 94105 USA
Dubai
IH-00-01-03-OF-05, Level 3, DIFC Innovation One, Dubai AI Campus, Dubai, UAE
Gurugram
Plot No. 136, 3rd Floor, Sector 44, Gurugram, Haryana 122003, India
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