On-Prem — Every Tool Call Stays Inside the Network
Core Components: AI Gateway, MCP Runtime, MCP Registry, MCP Gateway
Ungoverned Tool Calls — Every Request Passes Through the Gateway
AI Workflow
Qantara by IOTA
The control plane for enterprise AI tools — an on-prem AI Gateway, MCP Registry, MCP Gateway, and MCP Runtime that govern what every AI agent can reach.
Year
2026
Industry
AI Infrastructure for Regulated Enterprises
SERVICE USED
AI Development, Cybersecurity, Digital Engineering
Challenge
Every AI agent needs dozens of tools — exposing them ungoverned is a risk regulated enterprises can't take
(qtf® — the problem)
AI agents are only as safe as the tools they can call. Bolting an agent onto internal systems without a governed access layer turns every integration into a new, unaudited attack surface.
Play
Inside Qantara
Platform overview
(qtf® — solution)
MCP tools multiply faster than governance can keep up
Every AI agent we shipped needed the same missing layer: a governed way to reach the tools, data sources, and internal systems it depends on. Model Context Protocol (MCP) made it easy to expose a tool to an agent. It did not make it safe to expose that tool without oversight.
In a regulated enterprise, that gap isn’t cosmetic. Every ungoverned MCP server an agent can reach is a new integration point with no audit trail, no policy enforcement, and no single place to see what an agent is actually allowed to touch.
Qantara is IOTA’s answer: an on-prem control plane that sits between every AI agent and every tool it calls, built on the open-source ToolHive runtime and hardened for banking-grade deployment.
It’s four components working as one system:
MCP Registry — a single, versioned catalog of every tool an agent is allowed to discover, approved before it’s ever reachable.
MCP Gateway — enforces policy at the moment of the call: who can invoke which tool, with what data, under what conditions.
MCP Runtime — isolates tool execution so a compromised or misbehaving tool can’t reach beyond its sandbox.
AI Gateway — the single ingress for every model and agent request, giving one place to observe, rate-limit, and audit AI traffic across the enterprise.
The result is a platform IOTA runs its own products on first: iChat’s tool calls, and every future IOTA agent, pass through Qantara before they touch anything real.
(qtf® — Technology Stacks)
Cogni
Tenso
GridX
NovaA
(qtf® — client review)
Qantara exists because every AI product we shipped needed the same missing layer: a governed, on-prem way for agents to reach tools, registries, and runtimes — without opening the network.
IOTA Labs Team
Data & AI Practice
On-Prem — Every Tool Call Stays Inside the Network
Core Components: AI Gateway, MCP Runtime, MCP Registry, MCP Gateway
Ungoverned Tool Calls — Every Request Passes Through the Gateway
AI Workflow
Qantara by IOTA
The control plane for enterprise AI tools — an on-prem AI Gateway, MCP Registry, MCP Gateway, and MCP Runtime that govern what every AI agent can reach.
Year
2026
Industry
AI Infrastructure for Regulated Enterprises
SERVICE USED
AI Development, Cybersecurity, Digital Engineering
Challenge
Every AI agent needs dozens of tools — exposing them ungoverned is a risk regulated enterprises can't take
(qtf® — the problem)
AI agents are only as safe as the tools they can call. Bolting an agent onto internal systems without a governed access layer turns every integration into a new, unaudited attack surface.
Play
Inside Qantara
Platform overview
(qtf® — solution)
MCP tools multiply faster than governance can keep up
Every AI agent we shipped needed the same missing layer: a governed way to reach the tools, data sources, and internal systems it depends on. Model Context Protocol (MCP) made it easy to expose a tool to an agent. It did not make it safe to expose that tool without oversight.
In a regulated enterprise, that gap isn’t cosmetic. Every ungoverned MCP server an agent can reach is a new integration point with no audit trail, no policy enforcement, and no single place to see what an agent is actually allowed to touch.
Qantara is IOTA’s answer: an on-prem control plane that sits between every AI agent and every tool it calls, built on the open-source ToolHive runtime and hardened for banking-grade deployment.
It’s four components working as one system:
MCP Registry — a single, versioned catalog of every tool an agent is allowed to discover, approved before it’s ever reachable.
MCP Gateway — enforces policy at the moment of the call: who can invoke which tool, with what data, under what conditions.
MCP Runtime — isolates tool execution so a compromised or misbehaving tool can’t reach beyond its sandbox.
AI Gateway — the single ingress for every model and agent request, giving one place to observe, rate-limit, and audit AI traffic across the enterprise.
The result is a platform IOTA runs its own products on first: iChat’s tool calls, and every future IOTA agent, pass through Qantara before they touch anything real.
(qtf® — Technology Stacks)
Cogni
Tenso
GridX
NovaA
(qtf® — client review)
Qantara exists because every AI product we shipped needed the same missing layer: a governed, on-prem way for agents to reach tools, registries, and runtimes — without opening the network.
IOTA Labs Team
Data & AI Practice
On-Prem — Every Tool Call Stays Inside the Network
Core Components: AI Gateway, MCP Runtime, MCP Registry, MCP Gateway
AI Workflow
Qantara by IOTA
The control plane for enterprise AI tools — an on-prem AI Gateway, MCP Registry, MCP Gateway, and MCP Runtime that govern what every AI agent can reach.
Year
2026
Industry
AI Infrastructure for Regulated Enterprises
SERVICE USED
AI Development, Cybersecurity, Digital Engineering
Challenge
Every AI agent needs dozens of tools — exposing them ungoverned is a risk regulated enterprises can't take
(qtf® — the problem)
AI agents are only as safe as the tools they can call. Bolting an agent onto internal systems without a governed access layer turns every integration into a new, unaudited attack surface.
Play
Inside Qantara
Platform overview
(qtf® — solution)
MCP tools multiply faster than governance can keep up
Every AI agent we shipped needed the same missing layer: a governed way to reach the tools, data sources, and internal systems it depends on. Model Context Protocol (MCP) made it easy to expose a tool to an agent. It did not make it safe to expose that tool without oversight.
In a regulated enterprise, that gap isn’t cosmetic. Every ungoverned MCP server an agent can reach is a new integration point with no audit trail, no policy enforcement, and no single place to see what an agent is actually allowed to touch.
Qantara is IOTA’s answer: an on-prem control plane that sits between every AI agent and every tool it calls, built on the open-source ToolHive runtime and hardened for banking-grade deployment.
It’s four components working as one system:
MCP Registry — a single, versioned catalog of every tool an agent is allowed to discover, approved before it’s ever reachable.
MCP Gateway — enforces policy at the moment of the call: who can invoke which tool, with what data, under what conditions.
MCP Runtime — isolates tool execution so a compromised or misbehaving tool can’t reach beyond its sandbox.
AI Gateway — the single ingress for every model and agent request, giving one place to observe, rate-limit, and audit AI traffic across the enterprise.
The result is a platform IOTA runs its own products on first: iChat’s tool calls, and every future IOTA agent, pass through Qantara before they touch anything real.
(qtf® — Technology Stacks)
Cogni
Tenso
GridX
NovaA
(qtf® — client review)
Qantara exists because every AI product we shipped needed the same missing layer: a governed, on-prem way for agents to reach tools, registries, and runtimes — without opening the network.
IOTA Labs Team
Data & AI Practice
On-Prem — Every Tool Call Stays Inside the Network
Core Components: AI Gateway, MCP Runtime, MCP Registry, MCP Gateway
Ungoverned Tool Calls — Every Request Passes Through the Gateway
AI Workflow
Qantara by IOTA
The control plane for enterprise AI tools — an on-prem AI Gateway, MCP Registry, MCP Gateway, and MCP Runtime that govern what every AI agent can reach.
Year
2026
Industry
AI Infrastructure for Regulated Enterprises
SERVICE USED
AI Development, Cybersecurity, Digital Engineering
Challenge
Every AI agent needs dozens of tools — exposing them ungoverned is a risk regulated enterprises can't take
(qtf® — the problem)
AI agents are only as safe as the tools they can call. Bolting an agent onto internal systems without a governed access layer turns every integration into a new, unaudited attack surface.
Play
Inside Qantara
Platform overview
(qtf® — solution)
MCP tools multiply faster than governance can keep up
Every AI agent we shipped needed the same missing layer: a governed way to reach the tools, data sources, and internal systems it depends on. Model Context Protocol (MCP) made it easy to expose a tool to an agent. It did not make it safe to expose that tool without oversight.
In a regulated enterprise, that gap isn’t cosmetic. Every ungoverned MCP server an agent can reach is a new integration point with no audit trail, no policy enforcement, and no single place to see what an agent is actually allowed to touch.
Qantara is IOTA’s answer: an on-prem control plane that sits between every AI agent and every tool it calls, built on the open-source ToolHive runtime and hardened for banking-grade deployment.
It’s four components working as one system:
MCP Registry — a single, versioned catalog of every tool an agent is allowed to discover, approved before it’s ever reachable.
MCP Gateway — enforces policy at the moment of the call: who can invoke which tool, with what data, under what conditions.
MCP Runtime — isolates tool execution so a compromised or misbehaving tool can’t reach beyond its sandbox.
AI Gateway — the single ingress for every model and agent request, giving one place to observe, rate-limit, and audit AI traffic across the enterprise.
The result is a platform IOTA runs its own products on first: iChat’s tool calls, and every future IOTA agent, pass through Qantara before they touch anything real.
(qtf® — Technology Stacks)
Cogni
Tenso
GridX
NovaA
(qtf® — client review)
Qantara exists because every AI product we shipped needed the same missing layer: a governed, on-prem way for agents to reach tools, registries, and runtimes — without opening the network.
IOTA Labs Team
Data & AI Practice
(iota — 05)
More cases
(iota — 15)
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