We work with companies that recognise a need for AI but want deeper evidence before committing to a technical direction. Engagements can start with a short feasibility review or a longer research collaboration.
Technical route assessment, model comparison plan, data readiness review and risk identification before large-scale investment.
Design and validation of personalised recommendation, ranking, segmentation and user-interest prediction models.
Custom modelling of user-content-platform relationships, time-dependent behaviour and cross-platform interest drift.
Independent review of datasets, splits, metrics, baseline quality, overfitting risk and claimed model improvements.
Offline batch scoring, API prototypes, model configuration packages and technical run guides.
Continued consultation on model selection, computing strategy, data preparation and next-stage research directions.
Business problem, available data, operational constraints and evaluation requirements.
Separate known engineering tasks from uncertain modelling questions.
Implement baselines, compare candidates, document whether gains are consistent or fragile.
Deliver reports and prototypes; continue advisory instead of forcing a fixed maintenance model.
PWB Research is not positioned as a basic software outsourcing provider. We work closer to an applied research partner — identifying the unknowns, testing competing methods, documenting what succeeds and fails, and advising how the final system should be used.
Tell us the problem and the data you have — we'll suggest where to begin.
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