Comparison · Nov 2026
DevKira: ChatGPT and Claude, governed by your company's rules
ChatGPT Enterprise and Claude Enterprise provide everyone with an AI assistant. However, they don't manage who can use it and how much they spend, where documents are stored, or how work flows all the way to finished software. DevKira is the platform that handles this: it runs on your servers in Italy and uses the subscriptions you already have.
DevKira in thirty seconds
A platform on your servers, between your team and AI models
Your team
Developers, analysts, and project managers. Everyone uses AI from the same place.
DevKira
on your servers, in Italy- Spending limits per person and per team
- Permissions: each user only sees their own files
- Audit trail of who did what
- Workflow from concept to production, step by step
AI models
Claude, GPT-4o, Codex, Mistral. Using your existing subscription or an enterprise key.
DevKira covers your entire process, from idea to production. An AI model subscription only gets you through the first two steps
Enforced before requests are sent. Production access is strictly manual, requiring dedicated permissions.
Who writes, who approves, who signs off, and who deploys: every step has a designated owner.
Access logs, permission changes, and every AI prompt, complete with model and cost tracking.
What generic LLMs and standard business accounts leave unaddressed today
Six gaps that a per-user subscription doesn't close. The circled number indicates the section addressing it.
You buy a seat for everyone, even occasional users, while consumption is billed separately.
Section 04Documents are created in chat and must be moved manually: there is no path to production.
Section 05Billing is per account, not per project: there is no visibility into what each job actually costs.
Section 06Files are uploaded by individuals, with no guarantee they adhere to existing corporate permissions.
Section 07Where data is stored and who controls it remains entirely dependent on the vendor and contract.
Section 08A subscription locks the company into the models and business terms of a single provider.
Section 09The impact of these gaps
Two external data points, and what changes with DevKira
of employees using AI at work bring their own tools, outside corporate systems. May 2024 survey.
With DevKiraCompany-selected models, one key per person.of companies lacked AI access controls, among the 13% of organizations that reported an AI-related breach.
With DevKiraBudgets per person and model, every access logged.Sources: Microsoft and LinkedIn, Work Trend Index 2024, May 2024 survey, for 78%; IBM, Cost of a Data Breach Report 2025, for 97% and 13%.
Licensing and company rollout
How to introduce DevKira, user by user, without disrupting everyone's habits all at once.
Existing individual subscription
The request goes directly to the provider: the user continues using their existing subscription.
For the companyNo additional licenses. The subscription fee stays outside the usage billing.
Company key with a spending limit
The user receives a company key with their own spending limit, validated before the request is sent: once the budget runs out, it stops.
For the companyNo seats to buy: pay only for consumption within the limit, allocated by project, user, and model.
No account
Those who do not use AI need no account at all. Switch to either of the other two states whenever needed, and change your mind at any time.
For the companyZero licensing costs.
Documents and Project Work
Where documents live after the chat, and how they make it all the way to production.
The document originates in the AI conversation, remains within the project with version control and approvals, and moves into production without being copied elsewhere.
- Shared projects with read or edit permissions.
- A dedicated knowledge base for each project.
- Documents generated in chat must then be moved elsewhere.
- Shared workspaces and links to company files.
- Same story: the chat generates the text, but the work lives elsewhere.
- Word, Excel, and PowerPoint open and can be edited directly within the platform, complete with comments, version history, and dictation.
- An approved project page that remains even after the chat ends.
- Recurring tasks that automatically save results to the project folder.
- Tools for code and publishing, all accessible with a single login.
Others just generate text. DevKira keeps it in the project and drives it all the way to production.
Spend control
Who shows you what you've spent, and who stops requests before they run.
Every person and team has a budget. When it runs out, the AI stops before spending, and at month’s end you know exactly what each project cost.
- Spend limits by organization, group, and user.
- Spend broken down by user and model, updated daily.
- Controls are strictly financial: without limits configured, nothing stops.
- Usage measured in “tokens”—the billing unit for AI.
- Spend controls available in the admin console.
- Spending terms and project-level tracking are not public: they must be negotiated in your contract.
- Limits per company, team, and user, validated before requests run: once the budget is reached, it stops.
- Proximity warnings, hard cap enforcement, and usage exports.
- Spend broken down by project, user, and model.
- Users bringing their own subscription are excluded: fixed fees are never mixed with consumption.
Others show you what you've spent. DevKira stops it at the limit.
File permissions and governance
What the AI can read, and who decides what it can access.
The AI only has access to project files and nothing else: if a user cannot open a folder, they cannot have the AI read it either.
- Customizable roles, automated user provisioning, and groups.
- Project materials must be uploaded by a user or brought in via external integrations.
- Single sign-on, domain verification, admin roles, and controls.
- Same approach: content is either linked or uploaded.
- Files are sourced from your document repository with existing permissions intact: users who cannot access a folder cannot see it here either.
- Five standard roles plus custom roles, with access levels defined resource by resource.
- Project assistants that search exclusively within that project's files.
Others require you to upload content. DevKira inherits the permissions you already have in place.
Data Privacy
Where data resides, who controls it, and what can be audited.
Documents and AI prompts remain under the company's full control, in Italy, with every access leaving an audit trail.
- No model training on commercial product data.
- SOC 2 Type I and II, ISO 27001, ISO 42001, HIPAA-ready configuration.
- 180-day audit log (excluding contents), plus a compliance API to retrieve them.
- Configurable retention from 30 days; customer-managed encryption keys.
- No model training on customer data.
- Configurable retention, SSO, domain verification.
- Public pricing documentation references SOC 2.
- Servers and storage located in Italy, zero data sent to foreign clouds, fully isolated tenant space for each company.
- Six layers of protection active from day one, detailed in Section 15, Sheet 2.
- Closed network by default: no cross-tenant traffic, outbound access restricted to whitelisted endpoints.
- Enforceable European-hosted models for high-sensitivity documents.
- Granular audit trail tracking user access, permissions, and every AI prompt with model and cost metrics.
Others rely on compliance certificates. DevKira hosts your data directly on your servers, in Italy.
Model Selection
A single model provider, or multiple models unified under one platform.
Choose the best model for each task and switch whenever a better one is released, without changing platforms or policies.
- Anthropic models only, only on Anthropic tools.
- Does not govern other AI subscriptions purchased elsewhere.
- OpenAI models only, only on OpenAI tools.
- Same limitation applies to other AI tools already in-house.
- Claude, Codex, GPT-4o, and Mistral in a single catalog, with the same limits and unified audit logging.
- Existing subscriptions remain valid alongside your company key.
- Fully open-source software: switching model providers takes just one line of configuration.
Others lock you into a single model provider. DevKira supports as many as you need.
Certifications
DevKira does not have product certifications: why that is, and what we provide for verification.
DevKira does not have product certifications
Major vendors hold SOC 2, ISO 27001, and ISO 42001 for their services. DevKira does not. Anyone completing a vendor assessment questionnaire will find "no" on that line, and we prefer you hear it directly from us.
A certification covers the infrastructure of the party that obtains it
With a cloud service, that infrastructure belongs to the vendor, and you rely on their certificate. With DevKira, the infrastructure is yours, in Italy, within what you already verify. There is only one perimeter to monitor, and it is yours.
Documents you can review
- Architecture documentation: the Infrastructure Atlas, updated as of Oct 20, 2026.
- Test results.
- The Data Processing Agreement (DPA).
- The access and AI request log, as evidence.
What changes for each of you
CIO / CTO
Switching AI models or providers takes just a single line of configuration. Work moves from concept to production without changing tools.
Demonstrated in sections 01 and 09CFO
Users who do not use AI incur no license costs. Spending stops at preset caps and is broken down by project, individual, and model.
Demonstrated in sections 04 and 06Head of Security
Six layers of protection active from day one, private network by default, and production releases strictly manual with dedicated permissions.
Demonstrated in sections 01 and 15DPO
Servers and storage located in Italy, dedicated isolation for each company, and audit logs for every access and AI request.
Demonstrated in sections 08 and 16Project Lead
Documents remain within the project with version control and approvals. Launching user acceptance testing takes a single click.
Demonstrated in sections 05 and 12Sources: Claude Enterprise: official Anthropic pages consulted on Oct 26, 2026. ChatGPT Enterprise: OpenAI's pricing page redirects to sales and publishes neither figures nor terms, which must be defined by contract. DevKira: product wiki, Infrastructure Atlas of Oct 20, 2026, and commercial presentation v2.