The facts, with their sources
What it does
- Writes code
- YesWriting new software from a specification is the core of the engagement, and Azumo says coding assistants do the authoring while its engineers direct and judge the output.
Code AI writes. Engineers guide and judge.
azumo.com - Debugs and fixes
- PartlyAzumo takes on maintenance and support of existing applications and runs a daily automated audit that reports severity, file and line, but its pages describe finding and grading defects rather than a guaranteed fix cycle.
Ongoing maintenance, monitoring and support, with a daily automated code audit covering security, cost and architecture.
azumo.com/legacy-modernization - Writes tests
- PartlyVerification is a named stage of their delivery process and they run application security testing of code, but Azumo's pages describe testing the work rather than writing a test suite as a deliverable.
We perform static and dynamic software application security testing of code, including open source libraries, as part of our software development…
azumo.com/resources/security - Reviews code
- YesEvery change their assistants produce is put through a code-auditing tool Azumo built itself, re-run daily across the whole codebase with graded findings including severity, file and line number.
Every change our code assistants write runs through our code-auditing tool we built and use on our own products. It checks for security,…
azumo.com - Whole-codebase work
- YesRepository-wide migration is a service line: they modernise .NET and Azure estates in place across five named paths, in approved increments on the client's own repositories.
Migration to ASP.NET Core, re-architecture, cloud migration and data platform work. Delivered in sprints, on your repositories.
azumo.com/legacy-modernization - Ships it
- YesDeployment is inside the engagement rather than handed back as a diff: they integrate into systems of record, get it live and then keep running it in production.
Ship We integrate into your systems of record and get it live in production.
azumo.com/artificial-intelligence - Done-for-you service
- YesThis is a client-services business: Azumo's own engineers scope, build, ship and then operate the AI system for you, as pods, staff augmentation or a full project build rather than software you license.
One team can own the whole path. The same team of AI augmented engineers who scope your project are the ones who can build, ship, and operate it.
azumo.com/artificial-intelligence
How much it does unattended
- Runs autonomously
- PartlyAzumo builds agents it describes as autonomous and 24/7, but its own published practice keeps writes to systems of record behind a human approval step, so unattended completion stops at the approval boundary.
Write access to systems of record stays behind a human approval step, always — an agent that files its own conclusions is how bad data enters a…
azumo.com/artificial-intelligence - Multi-agent
- PartlyThey describe agents carrying one process across several systems and name orchestration frameworks they build on, but no page explains how multiple agents coordinate on a single task.
Agents that carry a process across the tools it actually spans, taking actions and stopping where a human decision is required.
azumo.com/artificial-intelligence - Agent permissions
- YesPermission boundaries are an explicit design commitment: which steps an agent may execute and which need approval is decided before build, with action logging, rollback paths and rate limits on writes.
We map the process first, decide explicitly which steps an agent may execute and which need approval, then build inside those limits.
azumo.com/artificial-intelligence
Which models it runs on
- Claude
- YesAnthropic is one of the frontier vendors they build on, their CTO is described as a Certified Claude Architect, and Claude Code is named as a daily tool and a delivered rebuild.
We stay independent at the model layer choosing the best fit frontier model among OpenAI, Anthropic, and Google Gemini and the open weight…
azumo.com/artificial-intelligence - GPT
- YesOpenAI is named first among the frontier models they select from, and GPT-4o Realtime appears in the stack behind their own voice-agent work.
We stay independent at the model layer choosing the best fit frontier model among OpenAI, Anthropic, and Google Gemini and the open weight…
azumo.com/artificial-intelligence - Open models
- YesOpen weights are a declared speciality: they build on Qwen, Mistral and DeepSeek for clients and operate Valkyrie, their own service for fine-tuning and serving open-weight models.
Valkyrie enables you to run open-weight AI agents fine-tuned on your data. You control the data and get predictable, consistent performance.
azumo.com/valkyrie - Model choice
- YesVendor neutrality at the model layer is their stated position, choosing per use case across frontier and open-weight models, and on Valkyrie the customer picks the open-weight model and pins its version.
We stay independent at the model layer. Our AI development services delivering using Claude, Codex, Qwen and others when they are the right tool.
azumo.com
Where you use it
- In your editor
- PartlyThere is no Azumo IDE extension; the editor surface belongs to Valkyrie, which registers as a custom provider inside coding tools such as Cursor so engineers keep their own editor.
Claude Code, Cursor, Opencode, Pi, and Qwen Code all connect to a Valkyrie deployment. Claude Code takes the Anthropic protocol directly. The rest…
azumo.com/valkyrie - On the command line
- PartlyA terminal path exists only through Valkyrie, which CLI coding agents reach by pointing two environment variables at a deployment endpoint; Azumo's services themselves have no CLI.
OpenAI and Anthropic compatible endpoints. Most tools connect with one environment variable and no code changes.
azumo.com/valkyrie - In a browser
- PartlyThe services engagement has no customer-facing web app, but Valkyrie ships a hosted dashboard for deployments, training jobs, usage and keys, with a public login.
Deploy a model from Hugging Face or one you have fine-tuned, watch training jobs, read per-request usage, and manage keys and balance.
azumo.com/valkyrie
Whose machine it runs on
- Self-hosted
- PartlyValkyrie itself runs on hardware Azumo operates, but fine-tuned weights are the customer's to export and run elsewhere, and client builds are deployed into the customer's own AWS, Azure or GCP account.
A model we fine-tune on your data is yours. Export it and run it elsewhere whenever you want. It also means we are not a single point of failure.
azumo.com/valkyrie
What it costs to run
- How it meters
- YesClient work is priced per Delivery Unit, a defined testable feature graded for complexity, with time-and-materials billed weekly as the alternative; Valkyrie instead sells concurrency per developer.
A Delivery Unit is a defined, testable piece of working software. Essentially a working feature or sub-feature with its own acceptance criteria.
azumo.com/get-pricing - Free tier
- NoThe published rate card runs Starter, Growth, Platform and Custom with no free option, and the only free step before paying is a discovery engagement or estimate call.
Software and AI development at $499–$899 per Delivery Unit.
azumo.com/get-pricing - API access
- YesValkyrie exposes OpenAI- and Anthropic-compatible REST endpoints, so an existing SDK or app connects to a deployment without code changes, which is the programmatic route into Azumo's own platform.
Built on the OpenAI standard, so your SDKs and apps connect as they are. Point them at your deployment and go.
azumo.com/valkyrie - MCP server
- PartlyValkyrie lists an MCP server as one of four access routes, but the card repeats the dashboard's description verbatim and no docs page describes its tools, so the scope of what an agent can query is unestablished.
Deploy a model from Hugging Face or one you have fine-tuned, watch training jobs, read per-request usage, and manage keys and balance.
azumo.com/valkyrie - Bring your own key
- PartlyClient systems are deployed into the customer's own cloud account and Valkyrie weights are exportable, but no page offers bringing your own model API keys or your own GPUs to Valkyrie.
We deploy on AWS, Azure, and Google Cloud.
azumo.com/artificial-intelligence
Buying it for a team
- A company can buy it
- YesThe buyer is an organisation throughout: enterprise programmes and multi-phase platforms are a named price tier and the stated customer base runs from startups to the Fortune 100.
Platform $499 per Delivery Unit Best for Enterprise programs, multi-phase platforms
azumo.com/get-pricing - Seat model
- PartlyServices are sold by Delivery Unit or by engineer rather than by seat, and the only per-seat statement is Valkyrie's one price per developer, with no stated minimum or maximum anywhere.
Predictable Pricing One price per developer
azumo.com/valkyrie - Pooled budget
- PartlyValkyrie sells reserved concurrent agents shared by the team rather than per-user token balances, and work beyond the reservation queues instead of costing more; no per-seat balance is described.
You buy concurrent agents, not tokens, so the bill is the same in a heavy month and a quiet one.
azumo.com/valkyrie - Admin controls
- PartlyAgent limits are set in the build rather than by an administrator in a console; Valkyrie mentions enterprise guardrails and key management but no page describes admin policy controls over what an agent may do.
Valkyrie gives your team the power of open-weight models with enterprise-grade operations and guardrails so you can ship faster with confidence.
azumo.com/valkyrie - Audit log
- PartlyAgents they build log every action with reconstructable inputs and Valkyrie exposes per-request usage, but neither page describes an administrative audit trail of console or account actions.
Full action logging with reconstructable inputs
azumo.com/artificial-intelligence
What happens to your code
- Opt out of training
- YesValkyrie states customer traffic never trains a model another customer can reach, prompts and completions are discarded at request end, and logging stays off until the customer enables it.
Your traffic never trains a model another customer can reach. Improving your own model runs on your data, in your instance, and you approve each…
azumo.com/valkyrie - Getting out
- PartlyFine-tuned weights are exportable and client code stays in the customer's own repositories with clean IP assignment, but nothing is published about Valkyrie balance expiry or data export on cancellation.
Clean IP assignment, NDAs by default, SOC 2 certified.
azumo.com/legacy-modernization - Certifications
- PartlySOC 2 is the one attestation Azumo claims, backed by a dedicated security page and an AICPA shield, and GDPR appears only as personal-data handling in the privacy policy; no ISO 27001 claim exists on the site.
At Azumo we take the security of our customer data seriously. We work every day to ensure that our security is aligned with industry security…
azumo.com/resources/security
Plans and pricing
Price and terms
- Free plan or trial
- NoNo
Checked .
Works with
Claude
GPT- YesOpen models
For AI agents
- MCP server
- Partly
- API
- Yes
Filed under
Sources and updates
Sources on azumo.com6
Updates1
- Capabilities · Free tier · Price · Terms
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