Polaris-Evo-14B Available for enterprise deployment
70+
organizations running Polaris
US · Asia · Middle East
enterprise deployments
Customer-controlled cloud
deployment available
Deployment figures reported by Polaris, October 2026.
Use cases
Adapt existing databases, code, and workflows.
Polaris proposes changes and tests them against the task’s requirements.
Adapt SQL and ORM code for a new database.
Adapt SQL and ORM layers to a new database environment, using database feedback to test and refine the changes.
Illustrative repair sequence
- Gap
Query behavior differs
The target database interprets a query differently from the source.
- Change
Revise the adapter
Propose a compact change to the SQL or ORM adaptation layer.
- Verify
Check the result
Test schema validity, result consistency, and the task's performance requirements.
- Learn
Retain the repair path
Record the change, database feedback, and verified outcome.
Update integrations for changed interfaces.
Diagnose compatibility gaps, propose code changes, and use compiler and test feedback to guide the repair.
Illustrative repair sequence
- Gap
An interface has changed
An existing integration no longer matches its dependency.
- Change
Patch the integration
Update the affected interface or routing logic.
- Verify
Compile and test
Use the sandbox's compiler and test results to accept or revise the patch.
- Learn
Keep the useful evidence
Retain failed attempts as well as the change that cleared the checks.
Diagnose and repair failed workflows.
Trace a failed outcome to its workflow state, test a repair, and evaluate the result against the business objective.
Illustrative repair sequence
- Gap
A workflow cannot advance
An unexpected state prevents the next step from completing.
- Change
Revise the transition
Propose a change to the state-machine or integration logic.
- Verify
Replay the path
Test the repaired path and its relevant edge cases in the sandbox.
- Learn
Measure the outcome
Compare the resulting behavior with the task's acceptance criteria.
The improvement loop
Test proposed repairs before deployment.
Polaris-Evo-14B directs diagnosis and repair selection. Worker models execute changes; the sandbox checks the result.
Illustrative repair · database migration
Gap
Query behavior differs
The target database interprets a query differently from the source.
Changes are versioned and can be rolled back after deployment.
Internal benchmark
Enterprise task success.
Polaris reports 88% success for Polaris-Evo-14B on its internal benchmark of 100 enterprise database-migration and workflow-adaptation tasks.
Task success (%)
| Model | Task success (%) |
|---|---|
| GPT-6 Astra | Not reported |
| Claude Fable 5.1 | Not reported |
| Polaris-Evo-14B | 88% |
Polaris result: internal benchmark, October 2026. 100 enterprise database-migration and workflow-adaptation tasks.
About this benchmark
Reported success requires zero-human sandbox first-pass completion with required performance targets met. These task-specific internal results are not a guarantee for every production workload.
Comparable results for GPT-6 Astra and Claude Fable 5.1 are not available; blank columns do not represent 0%. The Polaris summary does not specify task distribution, evaluation budgets, or the meaning of first-pass within an iterative run.
Learning from execution
Use repair history to inform future tasks.
Polaris records the system state, proposed changes, test feedback, and outcome of each repair attempt, including failed attempts.
Environment state
The system and task before the change
Exact change
The code or adaptation-layer diff
Execution feedback
Compiler, database, and sandbox results
Verified outcome
The measured result against the task objective
These records provide evidence for diagnosing problems, selecting repairs, and recovering from failures.
Deployment & control
Deploy Polaris in your own cloud.
Polaris supports deployment inside the customer's own cloud, with sandbox verification and versioned changes.
Customer-controlled cloud
Enterprise systems
Polaris-Evo-14B
Worker models
Verification sandbox
Conceptual architecture
Verify before promotion
Evaluate proposed changes against the actual task and its acceptance checks.
Measure what changes
Measure repaired behavior against the task’s acceptance criteria.
Versioning and rollback
Retain versioned improvements and rollback for deployed changes.
Research foundations
Research on evaluation and system repair.
The research behind Polaris focuses on evaluating outcomes, locating errors, building skills, and carrying useful methods across tasks.
Evaluation
Assessing task outcomes
Assess results against the task's objectives.
Credit assignment
Tracing failures to decisions
Trace an outcome back to the decisions that produced it.
Skill synthesis
Reusing repair methods
Turn useful repair methods into reusable capabilities.
Generalization
Testing across environments
Study how agents work across environments and collaborate on tasks.
Contact
Request a Polaris demo.
Contact the Polaris team for product details, a technical evaluation, or deployment options.