Cresslink Solutions
AI & Automation
AI applied where it changes an outcome — reducing manual handling, extracting structure from unstructured input, or making a system respond intelligently. Engineered with the same rigour as the rest of the stack.
What We Build
Systems in this area
- AI-assisted features inside existing products
- Document and data extraction pipelines
- Conversational interfaces backed by your own data
- Workflow automation across systems that do not talk to each other
- Classification, routing and decision-support systems
Good Fit When
You should talk to us if
- Staff spend hours on work a system could handle
- You hold unstructured data you cannot currently use
- You want AI in the product without shipping something unreliable
Engineering Focus
What we get right in this area.
The decisions that separate a system that holds up from one that merely launches.
Grounding
Model output constrained by your data and validated before it reaches a user or a database.
Evaluation
Measured against real cases, so quality is a number rather than an impression.
Cost and latency
Model selection, caching and batching designed against a real budget.
Fallback behaviour
Defined system behaviour for when the model is wrong, slow or unavailable.
Applied In
Where this is typically used.
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