# Alternatives to Azumo

> Source: https://theagentsindex.com/azumo/alternatives/ (re-verified)
> Updated: 21 October 2026

## At a glance

| Name | Best for | Starts at | Better than Azumo at | Checked |
| --- | --- | --- | --- | --- |
| [Azumo](https://theagentsindex.com/azumo.md) | US teams that need senior nearshore engineers to ship production AI in their own repos | From $499/delivery unit | — | 20 October 2026 |
| [Master of Code Global](https://theagentsindex.com/master-of-code-global.md) | enterprises validating an AI agent use case before committing to a full build | On quote | Writes tests, Multi-agent | 19 October 2026 |
| [Agentix Labs](https://theagentsindex.com/agentix-labs.md) | Ops leaders wanting a partner to build and govern production AI agents | On quote | Multi-agent, Free tier | 21 October 2026 |

## What to watch for

- **Agentix Labs**: Details here come from the vendor's own site and its LinkedIn posts; independent reviews are not available yet.

Best match first.

## Shortlist

### 1. ZTABS

AI-first software agency in Houston building custom AI agents, RAG systems and full-stack products.

**Where it improves on Azumo:**
- [Writes tests: yes — Automated unit, integration, end-to-end, load and mobile tests are a named deliverable, written into the client's own CI pipeline so pull requests are validated automatically.](https://ztabs.co/services/qa-testing)
- [Runs autonomously: yes — The agents they build are described as completing multi-step workflows end to end, with human-in-the-loop escalation reserved for edge cases rather than every step.](https://ztabs.co/services/ai-agent-development)
- [Multi-agent: yes — Multi-agent orchestration is a named capability, with specialised research, analysis and action agents built on LangChain, CrewAI and custom orchestration layers.](https://ztabs.co/services/ai-agent-development)

**Trade-offs against Azumo:**
- [Reviews code: partial — Code review appears as automation they build for clients using AutoGen multi-agent review crews, not as a review service you buy for an existing diff; the review capability is the delivered system.](https://ztabs.co/technologies/autogen-for-code-review-automation)
- [Agent permissions: partial — Guardrails are standard but their strictness is designed per engagement: rate limiting, content filtering, action confirmation and human-in-the-loop escalation are priced as scope, not a fixed policy model you configure.](https://ztabs.co/services/ai-agent-development)

[View ZTABS](https://theagentsindex.com/ztabs-llc)

### 2. Master of Code Global

AI consulting and engineering partner building custom AI agents, conversational AI and voice solutions.

**Where it improves on Azumo:**
- [Writes tests: yes — Test suites are part of delivery and may be AI-generated, with a stated 90%+ coverage result and a verification gate that cannot be skipped.](https://masterofcode.com/ai-sdlc)
- [Multi-agent: yes — Architecture choice explicitly includes multi-agent and hybrid designs, decided per use case during their architecture and integration design step.](https://masterofcode.com/ai-agent-development-services)
- [In a browser: yes — Delivered solutions are typically web and conversational surfaces embedded in client sites, and their own free maturity assessment runs in the browser.](https://masterofcode.com/ai-agent-development-services)

**Trade-offs against Azumo:**
- [Whole-codebase work: partial — They restructure existing platforms such as auth flows and data pipelines, but publish no claim about carrying a migration across a whole repository.](https://masterofcode.com/technical-audit-for-ai-platforms)
- [Ships it: partial — Engagements run through deployment and support, but no release reaches production without a named human sign-off, so shipping is never unattended.](https://masterofcode.com/ai-sdlc)
- [Agent permissions: partial — Permissions are fixed at integration time to named systems, tables and fields, with human sign-off wherever a decision needs it, rather than left to the agent.](https://masterofcode.com/ai-agent-development-services)

[View Master of Code Global](https://theagentsindex.com/master-of-code-global)

### 3. SafeNet Creations

Sri Lanka agency building Tamil and English AI voice agents, WhatsApp automation and websites for Canadian clients.

**Where it improves on Azumo:**
- [In a browser: yes — The vendor runs a live browser voice agent on its own site and embeds built agents into client websites, dashboards or customer portals as the default deployment surface.](https://www.safenetcreations.com/custom-ai-agents-sri-lanka/)

**Trade-offs against Azumo:**
- [Agent permissions: partial — What the agent may say and do is agreed per project before launch rather than configured by the buyer, and escalation to staff is designed into the approved workflow.](https://www.safenetcreations.com/canada/)
- [Model choice: partial — The vendor advertises freedom from provider lock-in across three commercial models, but the model is settled inside a written scope the agency controls rather than switched by the buyer.](https://www.safenetcreations.com/custom-ai-agents-sri-lanka/)
- [How it meters: partial — Billing is a monthly retainer or planning budget plus a separate one-off setup fee, with model usage, hosting and Meta message charges quoted on top rather than metered per seat or per task.](https://www.safenetcreations.com/canada/)

[View SafeNet Creations](https://theagentsindex.com/safenet-creations)

### 4. ITECS AI

Dallas agency that builds, governs and operates custom AI agents for 50-300 employee firms.

**Where it improves on Azumo:**
- [Multi-agent: yes — Orchestrated multi-agent systems are a published build phase with their own price band, alongside end-to-end process redesign.](https://itecs.ai/pricing)
- [On the command line: yes — CLI workflows and CLI automations are an explicit deliverable, including scoped runtime secret injection through a CLI secrets tool.](https://itecs.ai/custom-ai-agents)
- [Free tier: partial — There is no free product tier; the only no-cost step is a scoping intake that leads to a paid engagement.](https://itecs.ai/)

**Trade-offs against Azumo:**
- [Writes code: partial — ITECS delivers custom software through an AI-assisted build that a senior architect supervises, so code is authored by the agency rather than by a tool the buyer drives.](https://itecs.ai/pricing)
- [Whole-codebase work: partial — Agents can be connected to codebases among other systems, but carrying a migration across a whole repository is never claimed on any page read.](https://itecs.ai/custom-ai-agents)
- [Agent permissions: partial — Permission scope is designed per build: agents call only approved tools, and out-of-policy or low-confidence steps are routed to a person instead of acted on.](https://itecs.ai/custom-ai-agents)

[View ITECS AI](https://theagentsindex.com/itecs-ai)

### 5. Bitsclan IT Solutions

Agency that builds and operates custom AI agents inside a client's CRM, helpdesk, ERP and phone channels.

**Where it improves on Azumo:**
- [Runs autonomously: yes — Completing a task without a human closing the loop is the vendor's own dividing line between a chatbot and the agents they build, stated as a capability claim rather than a roadmap item.](https://www.bitsclan.com/ai-agent-development-services)
- [Multi-agent: yes — Multi-agent systems are named as an integration target, and the build stack cites AutoGen Studio and CrewAI.](https://www.bitsclan.com/ai-agent-development-services)
- [In a browser: yes — A performance dashboard is part of what is handed over at launch, and the automation deliverables list an ROI dashboard, so the buyer gets a hosted web surface with the build.](https://www.bitsclan.com/ai-agent-development-services)

**Trade-offs against Azumo:**
- [Whole-codebase work: partial — They take on modernisation of existing systems, but the published scope is infrastructure analysis and a human-authored plan, with no claim of carrying a change across an entire repository.](https://www.bitsclan.com/dev-ops-services)
- [Agent permissions: partial — Escalation to a human is named as the boundary and agents write into live systems, but no published control describes what an agent may do before it has to ask.](https://www.bitsclan.com/ai-agent-development-services)
- [Model choice: partial — Model choice is claimed for the chatbot line through an in-house routing gateway, and the automation page says they build on the AI models you already use; the agent page states no model policy.](https://www.bitsclan.com/ai-chatbot-development-services)

[View Bitsclan IT Solutions](https://theagentsindex.com/bitsclan-it-soulution)

### 6. Agentix Labs

AI engineering studio that designs, builds and operates production AI agents and automations.

**Where it improves on Azumo:**
- [Multi-agent: yes — Multi-agent systems are an explicit part of what they build, coordinated by a supervising orchestrator with human escalation rather than agents negotiating freely among themselves.](https://www.agentixlabs.com/)
- [Free tier: partial — You can start without paying: a free workflow teardown returns a one-page recommendation, and a free consultation maps one use case, but every build itself is a paid engagement.](https://www.agentixlabs.com/contact/)
- [Admin controls: yes — Constraining the agent is the core of their method: permitted actions are made explicit as executable controls, with permission checks, approval gates, action budgets and stop conditions rather than a policy document.](https://www.agentixlabs.com/resources/enterprise-ai-agent-development/)

**Trade-offs against Azumo:**
- [Reviews code: partial — It reviews an existing deployment's configuration, secrets and connector boundaries; nothing on the site offers pull-request or diff review.](https://www.agentixlabs.com/services/openclaw-implementation/)
- [Whole-codebase work: no — Engagements are deliberately scoped to one workflow with a narrow permission set; nothing describes carrying a change across a repository.](https://www.agentixlabs.com/services/custom-ai-agent-development/)
- [Agent permissions: partial — Delivered agents are scoped rather than open-ended: least-privilege credentials, typed tool contracts, dry-run modes, and a human approval gate before consequential or external writes.](https://www.agentixlabs.com/services/task-ai-agents/)

[View Agentix Labs](https://theagentsindex.com/agentix-labs)