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Model performance and specialised models

Task-specific quality, useful reasoning and deployment fit shape the model-development programme.

Discuss the programme family
Specialist engineering programme
TaskcontextContributionTaskreviewAcceptedartefactDefined task + accepted result

Select the right programme within model performance and specialised models.

Capability dossier

The programme family

Task-specific quality, useful reasoning and deployment fit shape the model-development programme. Softinator connects specialist contribution to the engineering, information and operating requirements around the task.

Choose a focused engagement

The catalogue includes supervised fine tuning, preference optimisation, reinforcement learning for reasoning, reward model engineering, mathematical reasoning improvement. Each programme has its own contribution, artefacts and acceptance scope. Use the programme links below to identify the relevant engagement.

Commission the work

Bring the operating task, selected environment and result that matters. The engagement establishes scope, access, delivery responsibilities and the evidence used to assess the outcome. Connected platform and project pages provide the relevant context.

Choose the programme.

Benchmark improvement programmesIdentify performance gaps and commission targeted improvements against defined evaluation suites.Code model adaptationImprove code generation for target languages, repositories and engineering conventions.Continued pretrainingAdapt model representations to a defined technical or language corpus.Long context model evaluationAssess evidence retrieval and reasoning over extended documents and repositories.Mathematical reasoning improvementTarget advanced mathematics weaknesses with specialist contributions and benchmark review.Model distillationTransfer task behaviour into a smaller model with quality and serving tradeoffs measured.Multilingual model adaptationImprove task behaviour across selected languages and regional operating contexts.Preference optimisationImprove response selection with domain-specific preference signals and evaluation.Reinforcement learning for reasoningAdvance difficult reasoning through a scoped reward and evaluation programme.Reward model engineeringCreate reliable scoring models for training and response evaluation.Scientific reasoning improvementStrengthen scientific problem solving with domain-specific assessment and model adaptation.Small specialised instruct modelsDevelop focused 1B and 3B-class instruct models for controlled enterprise tasks.Supervised fine tuningAdapt a model to enterprise tasks with an instruction dataset and validated release.Tool use model trainingStrengthen structured calls and tool selection through task-specific training programmes.

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Explore the method, its context
and the engineering underneath.

Our work

Frontier mathematics programme

An expert-scale mathematics programme built to strengthen frontier-model reasoning and benchmark performance.

Trust centre

Enterprise procurement

Commercial scope, technical requirements and the evidence needed to commission the work.

Bring the next
requirement.

Discuss your programme