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Lead with model engineering for organizations

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  # ConeML
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- ConeML is an independent AI model engineering company and research lab. It develops language models and training methodology focused on capability engineering, corpus design, curriculum design, activation, and evaluation.
 
 
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- The company works upstream of the application layer: first determining whether specialized AI is viable for a measurable workflow, then engineering and evaluating the system around that behavior.
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- ## Model Engineering
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- - Domain-model feasibility and capability analysis
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- - Corpus and curriculum engineering
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- - Model training and adaptation
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- - Held-out, machine-verified, and calibration-focused evaluation
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- - Regression testing, maintenance, and system evolution
 
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- Commercial engagements can cover feasibility, corpus and curriculum
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- engineering, model training and adaptation, evaluation, quantization, and
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- release. Public research-model licenses do not grant commercial rights;
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- commercial work and licensing are scoped separately.
 
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  - [Discuss a model project](mailto:contact@coneml.com)
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- - [Model engineering and current research](https://coneml.com)
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- ## Public Evidence
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- ConeML's public model releases are research artifacts that make measured capability movement and failure boundaries inspectable. The models are evidence; the engineering methodology is the differentiator.
 
 
 
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  ### Latest Release: ConeML 810M Alpha Family
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  ## ConeML
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  - [Website](https://coneml.com)
 
 
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  - [Contact](mailto:contact@coneml.com)
 
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  # ConeML
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+ ConeML builds, adapts, licenses, deploys, and maintains language models for
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+ organizations. Its public R&D program makes the underlying model-engineering
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+ and evaluation methods inspectable.
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+ ## For Organizations
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+ Commercial work can include:
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+ - capability and evidence sprints that determine whether a model is justified;
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+ - customer-specific model training and adaptation;
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+ - commercial licensing and adaptation of suitable ConeML foundations;
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+ - vertical-model development;
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+ - local deployment, integration, quantization, and release;
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+ - evaluation, monitoring, updates, retraining, and lifecycle support.
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+ Engagements begin with the workflow, available material, deployment
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+ constraints, unacceptable failures, and acceptance test—not with an assumption
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+ that new training is required. Public research-model licenses do not grant
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+ commercial rights; customer work, ownership, licensing, and support are scoped
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+ by separate agreement.
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  - [Discuss a model project](mailto:contact@coneml.com)
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+ - [Model engineering for organizations](https://coneml.com/organizations/)
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+ ## Public R&D
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+ ConeML's public releases demonstrate the engineering and evaluation methods
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+ behind its commercial work. They publish measured strengths, failure
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+ boundaries, shipped-artifact checks, peer context, and resource assumptions.
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+ They are evidence of method, not claims of customer deployment.
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  ### Latest Release: ConeML 810M Alpha Family
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  ## ConeML
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  - [Website](https://coneml.com)
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+ - [For Organizations](https://coneml.com/organizations/)
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+ - [Research](https://coneml.com/research/)
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  - [Contact](mailto:contact@coneml.com)