Already happening

Your people are already building with AI.

But you don’t feel the impact.

Mithran is the agentic operating system that takes what they build safely into production.

The problem

Most of it never makes it beyond the desk.

It hits the same old chokepoints: security, privacy, compliance, and relevance.

Mithran clears these chokepoints: every build is judged, contained, and proven before it ships.

The turning point

Mithran clears the path.

Anyone can build and ship to production without putting the enterprise at risk.

Mithran gives every build an identity, an adversarial review, a contained runtime, and a signed record.

Shared capability

What one person builds, others can use.

Across the company.

Mithran turns what one person built into a governed app the whole company can safely use.

Company-wide impact

Now the company feels the impact.

Mithran shows the company what it gained: adoption, cost, protection, and proof, in one operating view.

See how it works

What Mithran looks like

The operating system behind every build.

Mithran sits between the tools your people choose and the systems your company depends on.

First principles

Four rules. One system.

These four principles form a single operating model working in synchrony. Remove any one and the enterprise has to choose again between control and employee freedom.

01 · Adversarial

Trust must be earned.

Agents and everything they produce are treated as unsafe until an independent adversarial system clears them with evidence.

02 · Containment

Control must reach compute.

Gateways can stop the calls they see. Mithran reaches the compute and kernel boundary, where it can isolate, quarantine, or stop the process.

03 · End to end

A gateway is not an OS.

Context, build, review, deployment, runtime, sharing, and evidence stay under one Agentic OS.

04 · Choice

The OS stays open.

Choose any model, harness, or gateway. Identity, policy, runtime, context, and evidence stay consistent underneath.

Together

People get the freedom to build. The enterprise keeps the power to govern.

Judge everything. Contain the workload. Govern the lifecycle. Preserve choice.

One governed system

Use what works.Keep control.

Models and tools will keep changing. Mithran gives the enterprise a stable layer underneath them: one identity system, one path to production, one set of controls, and one record of what happened.

What your people use Flexible by design
ModelsThe intelligence behind the work
HarnessesThe agent loops builders work in
App buildersThe shortest path from idea to app
Business softwareThe systems the company already runs on
The Mithran OS Built as one system
Mithran protection reaches the compute and kernel boundary
What Mithran runs on Any cloud. Any silicon. Your environment.

Hover to scan. Click any Mithran component to open it.

Read the Aegis Method  →

The experience

What your people get. What you get.

For employees, a clear path from idea to production. For the enterprise, the controls that make that path safe.

A straight path from idea to production.

The work stays in the harnesses people choose. Mithran supplies everything around it: company context, deterministic gates, deployment, and a place to share what they make.

Artifacts advance automatically. Select any outcome to explore it. Screens show an illustrative scenario; Acme and its people are fictional.

Mithran Studio showing an employee turning a live thread into a governed project
Studio · idea to governed project
The Mithran company gallery with apps and agents built across the organization
Company Gallery · use, share, and fork
The Mithran flight recorder showing deterministic controls around an agent session
Flight Recorder · deterministic gates around the work
Mithran in action Follow an employee-built app from idea to governed production.
See Mithran in action

Why Mithran exists

Freedom for your people. Control for the company.

Mithran empowers every employee to build and ship with AI without putting the company at risk.

People get the freedom to create. The enterprise keeps control over data, access, deployment, and production. The combination drives enterprise productivity.

01 · The new employee

The employee who never signed the paperwork.

Over the past year, companies have started hiring a new kind of employee: the AI agent.

It never signed your NDA or PIIA. It does not fear being fired. It has no reputation to protect. It has a goal, and it will use every tool, permission, system, and piece of context available to complete it.

The human directing it may not be an engineer. It may be the CFO who lives in spreadsheets, or the office manager who has never shipped software. You cannot assume the agent understands the company’s boundaries. And you cannot expect every person using one to become a security engineer.

You cannot trust the agent to protect the company. You cannot rely on its boss to do it either.

02 · Two bad options

Until now, every path came with a catch.

Companies have been left with two choices. Both solve the risk problem by sacrificing the value.

Option 01

Lock it down.

Keep people inside walled gardens. Give them AI tools that cannot reach mission-critical systems, real company data, or production. The company stays safe by making the work less useful.

Option 02

Put it in the queue.

Send every employee-built app and agent through the regular engineering, security, and DevOps queues, if those queues even exist. The company stays safe by creating a traffic jam between every useful idea and production.

One option kills the work at the start. The other kills it in the queue.

03 · The third way

At Nexar, we watched the same problem unfold.

AI adoption was already happening from the bottom up. People across the company were building. The question was not whether to allow it. The question was how to let the work reach production without letting the risk reach the enterprise.

We chose a third way. We built a cloud operating system from the ground up for powerful, useful, untrustworthy agents and everything they create.

Nexar case study

What happened when the whole company could build.

The system spread through Nexar because employees could finally put what they built to work. The production record shows who built, who used what their colleagues made, and how adoption moved from person to person.

Read the full case study
77 / 135people became builders
62%of builders were outside engineering
76 / 77used a colleague’s app before building their own

04 · Mithran

That system became Mithran.

Mithran wraps the agents your people already use. It gives them governed access to company context. It carries their work through build, review, deployment, and production. It protects the company while the work is running and preserves the evidence of what happened.

Mithran does not ask you to choose between adoption and control. It gives your people a path to production without putting the enterprise at risk.

Your people are going to build with AI either way. Mithran lets the company benefit from it.

Start a conversation

Let your people build. Keep the enterprise safe.

Let’s talk about what that could look like in your company.

hello@mithran.ai