Application engineering
Develop the user experience, service boundaries, and application state around the AI capability, including clear feedback when work cannot complete.
Build & connect
Custom AI Software Development
Blake Technologies builds custom AI software for businesses, service companies, and private equity portfolios, from application design to integration.
Discuss your AI project ↗The model is one part of the application
- User experienceInput, review, useful feedback
- Application servicesIdentity, workflow state, rules
- AI capabilityContext, model, output validation
- Business systemsRecords, APIs, transactions
- OperationsEvaluation, logs, recovery
Build the system around the task.
Blake Technologies develops AI software around the requirements of an operating business. The work can include model selection, application services, interfaces, data preparation, and deployment. We choose between an existing model, a tailored model, and conventional software based on the task. The application must still handle identity, failures, and valid business transactions even when model outputs vary.
As a software development company, Blake Technologies builds the applications around AI as well as the AI capability itself. Service businesses may need a connected intake, scheduling, or reporting workflow. Private equity firms may need reusable components that support several portfolio companies while preserving company-specific business rules, integrations, and data access.
Where engineering makes the difference
Model evaluation
Compare candidate approaches on representative cases and define acceptable quality, response time, and cost before broad deployment.
Release hardening
Test integrations, isolate configuration, plan rollback, and document how the system will be supported after launch.
From an unstructured request to a valid record
A useful distinction
Do we need to train a model from scratch?
Usually the first step is evaluating existing options. Training or fine-tuning is considered when the task, available data, and expected benefit justify it. Many projects gain more from better retrieval, interfaces, and workflow design.
Your engagement outputs
- An implementation architecture and integration contracts
- The scoped application, tests, and deployment configuration
- Documentation and an agreed handover or support plan
Scope, schedule, team, and support are agreed for the engagement.