Colter

Private & hybrid execution

Keep sensitive work local. Use frontier reasoning where it adds leverage.

Local agents can work inside your environment while Colter prices, governs, and records the job. When policy allows, a hybrid route can send one approved step to a frontier model and bring the result back.

One control plane, three postures

Private can run locally. Enterprise can run hybrid.

Execution posture and capacity are independent. Choose where the intelligence runs, then size the Agent Bench, active jobs, and local or managed runners separately.

Cloud control plane Colter

Job Bid · policy · approvals · ledger · settlement

One governed job record
Cloud

Run with Colter

Managed agents, models, and tools for ordinary work.

Colter runtime
Private / local

Run in your environment

Local agents use approved models, data, and tools on your Jeddy Host.

Customer runtime
Hybrid

Split at the boundary

Prepare or redact locally, use an approved frontier step, then return.

Local + frontier
Separate control Privacy says where. Capacity says how much.
Profile capacity
Specialists kept ready
Job capacity
Jobs that may stay active
Runner capacity
Jobs executing at once

Routing criteria

Choose intelligence from the work’s actual requirements.

01 / Data boundary

Decide which context may leave the approved environment.

Classify source data, redactions, retention expectations, and provider access before the workflow reaches production.

02 / Quality

Use the model that can meet the acceptance criteria.

Evaluation evidence, validators, and human review matter more than a provider name or a single benchmark score.

03 / Capacity and latency

Match the route to volume, response time, and operational load.

Private capacity and external services carry different scaling, availability, and cost responsibilities that belong in the design.

04 / Strategic advantage

Keep proprietary methods portable across model changes.

Versioned instructions, examples, tools, checkpoints, and evaluations preserve the company’s operating intelligence outside any one provider.

Private does not mean disconnected

One workflow can use several approved kinds of intelligence.

A local agent can handle sensitive extraction, a frontier model can reason over an approved projection, and a governed tool can act in the business system—all inside one observable run with explicit authority.

Commercial clarity

The proposal names the model posture.

Deployment location, execution posture, provider access, profile capacity, runner capacity, usage units, support responsibility, and effective rates are documented before production work begins.

Start with the boundary

Bring the sensitive workflow and its acceptance criteria.

We’ll design the smallest cloud, private-local, or hybrid posture that can do the work responsibly.