Enterprise
Optimization for your whole organization
Enterprise brings 4colors to your whole organization under its own written agreement. It takes precedence over the standard Terms of Service.
Plan contents, limits and service levels agreed with your team, in writing.
What an Enterprise arrangement covers
Each arrangement is shaped around your workloads, deployment and team.
Capacity
Dedicated capacity, custom allowances and API limits.
Deployment
Hosted, or on-premises by agreement.
Support
Onboarding, training and service levels by agreement.
Commercial terms
Custom pricing and licensing in one agreement.
One conversation for every reviewer
The 4colors team works with your engineering, security and procurement contacts as the scope takes shape.
Engineering
A representative workload, the current baseline, the API and the integration work.
Security and IT
Data handling, access roles, deployment responsibilities and the disclosure policy.
Procurement and leadership
Pricing, allowances, the Enterprise agreement and the decision it supports.
Your content stays yours
Models, circuits, instances and results belong to your organization. The data-handling summary and the Terms set out exactly what happens to them; an Enterprise agreement takes precedence over the standard Terms.
The service is built for optimization and compilation problems, not personal data; any exception is agreed in writing first.
How we handle your data Terms of Service Responsible disclosure
Data commitments
Ownership
You own the content you send and the results it produces.
Kept private
Never sold and never shown to other customers.
No general AI training
Never used to train general-purpose AI models.
De-identified copies
Off by default for Enterprise teams, unless the agreement says otherwise.
Clear retention
Finished jobs are deleted after the retention period, currently 30 days.
Deployment and service
Every plan runs the same algorithms with the same solution quality. Enterprise adds control over where and how.
Hosted
4colors runs the service, with capacity and allowances sized to your workload; your team works through the API and the Python client.
On-premises
Available through Enterprise arrangements, with infrastructure and service responsibilities agreed for your organization.
Team roles
Admins manage plan, billing and data settings; members run jobs and hold API keys; viewers see jobs and results.
How an Enterprise evaluation runs
- 01
Define the scope
Identify the optimization model, required constraints, volume and expected usage.
- 02
Compare methods
Agree the baseline, evaluation instances and measurable success criteria before assessing the software.
- 03
Plan the arrangement
Review access, deployment responsibility, security requirements and integration with the relevant teams.
- 04
Agree the terms
Settle pricing, allowances, support and service levels in one Enterprise agreement.
Bring your team to a concrete decision
Share a typical workload; we shape the proposal around it.