MarutAI | The Science of Autonomy

Product

MAIDE

Build, evaluate, and operate the software that keeps autonomous AI inside its safety boundaries.

MAIDE gives developers one environment for code, agents, evaluation, review, and delivery, connected to the same safety controls and platform contracts used by Manifest in production.

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MAIDE managed change workspace with build progress, approval evidence, and the MAIDE assistant

Speed

Less time between task, code, review, and deploy.

Trust

Every change carries review, evaluation, and approval evidence.

Delivery

Local work stays aligned to production contracts.

Build With Confidence

MAIDE helps teams move faster with agents while keeping changes controlled, reviewable, and connected to the safety boundaries of the system they are building.

Coding, agent work, evaluation, validation, queue management, and delivery stay in one guided loop from task through release.

What MAIDE Helps Teams Do

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Editor

Code Faster

A focused development surface where files, diagnostics, source control, component context, and inline AI actions stay in one place.

Agent

Work With Agents

Agents operate from the open workspace, active task, run history, and platform context, so they can help with more than isolated code completion.

Managed Changes

Trust Every Change

Scope, implement, validate, repair, and review changes with a visible trail from request to handoff.

Work Queue

Keep Work Moving

Issues, PRs, backlog items, and planning work sit beside the code, reducing context switching from triage to implementation.

Continuous Delivery

Ship With Review

Move from local change to staged promotion with explicit review steps, source-backed descriptors, and production-aware delivery flow.

Hosting

Deploy The System

Build hosted services, workflows, code blocks, and agents against the same contracts locally and in the platform.

MAIDE code editor with the project explorer and a Python model component open

From Request To Release

MAIDE turns agent-assisted development into a managed delivery flow where changes remain understandable, testable, reviewable, and tied to approval evidence.

01Ground the task in the open workspace
02Make changes with editor and agent context
03Validate against local services and platform contracts
04Review diffs, run output, and approval evidence
05Promote through staged delivery with less handoff

Controls Built Into Delivery

MAIDE brings production safety concerns into development. Each change can be evaluated against the permissions, policies, failure modes, and evidence used to decide whether it should move forward.

Red-Team Evaluations

Test agents against prompt injection, jailbreak, data exfiltration, tool misuse, and policy-bypass attempts before promotion.

Policy And Access Controls

Scoped permissions, configurable policies, guardrails, and human approval checkpoints keep people and agents within defined operating bounds.

Evidence-Backed Release Gates

Audit records, evaluation findings, validation output, and approvals stay attached to the change so teams can gate promotion on what matters.

Accelerated By Manifest

MAIDE brings agent-assisted development together with the operating foundation of Manifest, reducing translation and handoffs between the code developers write and the system customers run.

Shared contracts, reusable components, connector-aware local testing, and reviewable delivery paths shorten time to deploy while keeping every change easier to validate, govern, and improve.

Trusted delivery for AI systems

MAIDE keeps scoped agents, evaluations, policy controls, review evidence, and release handoff in one development environment.

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