Operate rigorous data and evaluation programs at scale.
Evaluation and expert data programs fail operationally more often than they fail scientifically: the criteria drift, the staffing does not hold the bar, and by the time a result is questioned nobody can reconstruct how it was produced.
Largwit provides the operating environment around that work, and leaves the models and the science where they belong.
- Models
- Endpoints you run or license
- Criteria
- The rubric the program is measured against
- Experts
- Staffed against your qualification bar
- The science
- Yours. Largwit runs the operation.
The work labs actually need run.
Six kinds of program, each configured to the standard it is held to, each leaving a record of how its results were produced.
Largwit operates around your model infrastructure.
Largwit is the operating layer around the programs you run against your models, designed to fit an existing stack rather than replace one. Endpoints, evaluation criteria, specialists and delivery requirements all stay where they already are.
Sensitive programs, handled as such.
Access to a program is granted by role and by project participation rather than by organization membership. Project data and media are served through authorized access, and significant actions are recorded.
Where a program requires it, data handling and retention can be governed to the requirements the work is subject to.
- 01The program's instructions, versioned
- 02The item under evaluation
- 03The structured judgement the program calls for
- 04The evidence requirement it is held to
Bring us the programme you are about to build.
Largwit is deployed through direct engagement. Tell us what you are running and we will show you the platform against it, rather than against a generic demo.